[ { "id": "0136b419272a", "filename": "Calcaterra and Kaal - 2021 - Decentralized Governance.pdf", "title": "Chapter ) – Governance 1", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "cid", "score": 0.3291 }, { "term": "reputation", "score": 0.2721 }, { "term": "dao", "score": 0.2439 }, { "term": "chapter", "score": 0.1884 }, { "term": "protocols", "score": 0.1747 }, { "term": "members", "score": 0.1545 }, { "term": "power", "score": 0.1487 }, { "term": "decentralized", "score": 0.1442 }, { "term": "group", "score": 0.1285 }, { "term": "coupled", "score": 0.1262 }, { "term": "reputation tokens", "score": 0.1136 }, { "term": "cid chapter", "score": 0.1095 }, { "term": "policing", "score": 0.109 }, { "term": "tokens", "score": 0.1088 }, { "term": "loosely", "score": 0.1059 } ], "page_count": 35, "word_count": 15364, "reference_count": 1, "centrality": 0.483, "betweenness": 0.0056, "abstract": "Chapter ) introduces governance designs for decentralized systems. Decentral- ized governance is the process of keeping decentralized organizations stable and on track to achieve their goals, without letting them devolve into a centralized organiza- tion. Decentralized organizations are naturally more difficult to control than central- ized organizations. They are more difficult to govern. Very few existing PCP project have anything close to a sophisticated governance process. The authors show that reputation is the key to achieving effective decentralized governance. Reputation gives the promise of future rewards. Reputation can be ob- jectively valued, by estimating the probability of future business deals, taking the ex- pected value of that probability, and calculating the present value of those business deals. Yet this value can seemingly be created from nothing, in a place it didn’t exist before, based solely on whether the participants choose to display good will toward each other. This makes reputation a positive-sum property from the game-theory per- spective. A reputational system that is formally linked to profits makes the members forward-thinking and cooperative, to combat the natural tendency of competition to separate members. It also motivates members to self-police their past investments. Reputation changes the incentive structure from a single-stage, zero-sum game to a repeated positive-sum game. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Electronic copy available at: https://ssrn.com/abstract=3782214" }, { "id": "01bd17a86890", "filename": "Calcaterra et al. - 2018 - Reputation Protocol for the Internet of Trust - Conceptual Whitepaper.pdf", "title": "Semada Research Institute", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "semada", "score": 0.6233 }, { "term": "reputation", "score": 0.2742 }, { "term": "anchor", "score": 0.2658 }, { "term": "sem", "score": 0.2497 }, { "term": "dao", "score": 0.2347 }, { "term": "block", "score": 0.1783 }, { "term": "trust", "score": 0.1492 }, { "term": "internet", "score": 0.1467 }, { "term": "internet based", "score": 0.1439 }, { "term": "protocol", "score": 0.1259 }, { "term": "sem token", "score": 0.1129 }, { "term": "platform", "score": 0.1105 }, { "term": "semada platform", "score": 0.1067 }, { "term": "tokens", "score": 0.1036 }, { "term": "decentralized", "score": 0.1005 } ], "page_count": 30, "word_count": 8135, "reference_count": 0, "centrality": 0.517, "betweenness": 0.0035, "abstract": "Internet-based platform businesses outcompete traditional brick and mortar business on nearly all measures of comparison. Similarly, distributed ledger technology (DLT) businesses depend on the internet and show a lot of promise in multiple business verticals. Yet, internet-based platform businesses and DLT businesses have not reached their full potential. Multiple studies, data, and anecdotal evidence suggest that one core factor that undermines their evolution is the worldwide decreasing trust in the internet and under-developed trust in decentralized technology solutions. Semada and the Semada Research Institute (SRI) believe that a decentralized reputation protocol can reverse that trend to increase trust in the internet and increase decentralized technology adoption. We call this solution the Semada Internet of Trust - a network that uniquely captures real world information, context, and value in cryptographic transactions generating transparently validated consensus on truth. Through the creation of unconscious and conscious trust in decentralized networks adoption becomes a desirable outcome and increases. Semada has a unique suite of protocols and a stable currency that combined enable commerce on the decentralized web. Semada’s core architecture continually resolves the blockchain trilemma by combining - a) decentralization, b) scale, and c) security. Semada’s version of proof-of-stake - a.k.a. the Anchor Protocol - is a unique consensus algorithm that enables block propagation through reputation staking and verification. Through its Sockpuppet Protocol, Semada is resilient to deceptive fake internet identities, so-called sockpuppet accounts, and 51% attacks. Through its Persona Protocol, Semada facilitates digital sovereignty, self sovereign identity, privacy, security and decentralized reputation. Trust enabling reputation can only be earned over time on the Semada network. The Semada Internet of Trust creates a framework of trust through reputation and incentive optimization that enables market conditions for unprecedented business models and market capitalization while reducing adverse selection and moral hazards for transacting parties. The network will provide information symmetry while reducing transaction cost for market participants. Businesses will leverage the platform to achieve efficiencies across verticals. 1 Electronic copy available at: https://ssrn.com/abstract=3266953" }, { "id": "0322f0ae77c2", "filename": "Kaal - 2018 - Crypto Economics - The Top 100 Token Models Compared.pdf", "title": "Crypto Economics - The Top 100 Token Models Compared", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "abstract 3249860", "score": 0.4092 }, { "term": "com abstract 3249860", "score": 0.4092 }, { "term": "3249860", "score": 0.3842 }, { "term": "token", "score": 0.3477 }, { "term": "tokens", "score": 0.246 }, { "term": "crypto economics", "score": 0.155 }, { "term": "figure", "score": 0.1211 }, { "term": "copy available https", "score": 0.1205 }, { "term": "available https ssrn", "score": 0.1194 }, { "term": "electronic copy available", "score": 0.1184 }, { "term": "copy available", "score": 0.1184 }, { "term": "electronic copy", "score": 0.1184 }, { "term": "copy", "score": 0.1154 }, { "term": "available https", "score": 0.1134 }, { "term": "https ssrn com", "score": 0.1115 } ], "page_count": 33, "word_count": 7433, "reference_count": 0, "centrality": 0.5238, "betweenness": 0.0069, "abstract": "The article provides an overview of the evolving economic incentive designs in decentralized systems. After introducing the decentralized economic policy tools that influence token design, the author examines the leading token models in a hand-selected dataset comprising the top one hundred cryptocurrencies by market capitalization (N=100). The dataset enables a time series trend analysis of token models, consensus algorithms, and governance mechanisms, among other data points. Key Words: Emerging Technology, Crypto Economics, Token Models, Incentive Design, Velocity, Supply, Demand, Tokens, Initial Coin Offerings, Blockchain, Distributed Ledger Technology, Regulation, Market Abuse, Investor Protection, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Innovation, Entrepreneur, Start-up, Big Data, Diversification, Optimization, Efficiency, Governance, Bad Actors, Risk Factors, Regulation JEL Categories: K20, K23, K32, L43, L5, O31, O32 * © 2018 Wulf A. Kaal. Professor, University of Saint Thomas School of Law, Minneapolis. The author is grateful for outstanding research assistance from Daniel Dosch, Samuel Evans, Stephanie Jones, Hayley Howe, and research librarian Nicole Catlin. 0 Electronic copy available at: https://ssrn.com/abstract=3249860 Electronic copy available at: https://ssrn.com/abstract=3249860" }, { "id": "05b1eb3f34f6", "filename": "Calcaterra et al. - 2019 - Stable Cryptocurrencies.pdf", "title": "Stable Cryptocurrencies", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "stable cryptocurrencies", "score": 0.383 }, { "term": "cryptocurrencies", "score": 0.3318 }, { "term": "stable", "score": 0.2725 }, { "term": "cryptocurrency", "score": 0.2444 }, { "term": "monetary policy", "score": 0.1767 }, { "term": "monetary", "score": 0.1618 }, { "term": "currency", "score": 0.1603 }, { "term": "2018", "score": 0.1577 }, { "term": "policy", "score": 0.1359 }, { "term": "2019", "score": 0.127 }, { "term": "corruption", "score": 0.1244 }, { "term": "fiat", "score": 0.1147 }, { "term": "tether", "score": 0.1142 }, { "term": "stablecoin", "score": 0.1109 }, { "term": "https www", "score": 0.1071 } ], "page_count": 52, "word_count": 16501, "reference_count": 0, "centrality": 0.4286, "betweenness": 0.0031, "abstract": "The authors examine the emergence and proliferation of stable cryptocurrencies and their uses. After evaluating the core shortcomings associated with fiat currencies, the authors highlight the benefits of stable cryptocurrencies for monetary policy making, overall market stability, and their bilateral impact on the emergence of decentralized commerce. The transition to digital currencies has already started. It is a matter of time until the use cases and applications of stable cryptocurrencies become more mainstream. Key Words: Stable Cryptocurrencies, liquidity, Corruption, Cost, Speculation, Inflation, Price Stability, Transparency, Feedback Effects, Market Stability, Stability Mechanisms, Monetary Policy, Emerging Technology, Crypto Economics, Token Models, Incentive Design, Velocity, Supply, Demand, Tokens, Initial Coin Offerings, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 * Professor of Mathematics, Metropolitan State University (Minneapolis, USA) ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA) *** Professor of Finance, Metropolitan State University (Minneapolis, USA) 0 Electronic copy available at: https://ssrn.com/abstract=3396522" }, { "id": "0a7cc7a795b0", "filename": "Kaal - 2019 - Blockchain-Based Corporate Governance.pdf", "title": "Blockchain-Based Corporate Governance", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "dao", "score": 0.5198 }, { "term": "abstract 3441904", "score": 0.2237 }, { "term": "3441904", "score": 0.2237 }, { "term": "com abstract 3441904", "score": 0.2237 }, { "term": "decentralized", "score": 0.1972 }, { "term": "blockchain", "score": 0.1661 }, { "term": "corporate", "score": 0.1443 }, { "term": "corporate governance", "score": 0.1435 }, { "term": "dao governance", "score": 0.1411 }, { "term": "fungible", "score": 0.111 }, { "term": "dao members", "score": 0.1047 }, { "term": "daos", "score": 0.1041 }, { "term": "token", "score": 0.0972 }, { "term": "dynamic", "score": 0.0942 }, { "term": "reputation", "score": 0.0936 } ], "page_count": 45, "word_count": 14088, "reference_count": 0, "centrality": 0.5578, "betweenness": 0.0133, "abstract": "Corporations and other forms of business organizations can be supplemented with blockchain-based agency constructs. Blockchain-based decentralized autonomous organizations (DAOs) expand the definition of the firm. On-chain DAO governance enables dynamic regulatory features that facilitate unprecedented decentralized regulatory solutions. Key Words: Corporate Governance, Decentralized Autonomous Organization, Blockchain, Distributed Ledger Technology, Regulation, Protocols, Optimization, Efficiency, Governance, Dynamic Regulation, Principal-Agent, Emerging Technology, Agency Cost, Monitoring, Feedback Effects JEL Categories: K20, K23, K32, L43, L5, O31, O32 * © 2020 Wulf A. Kaal. Professor, University of Saint Thomas School of Law, Minneapolis. 0 Electronic copy available at: https://ssrn.com/abstract=3441904" }, { "id": "0a8c6b95a521", "filename": "Kaal - 2024 - AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning.pdf", "title": "AI Learning", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "code review", "score": 0.4012 }, { "term": "micro task", "score": 0.3258 }, { "term": "ai", "score": 0.3022 }, { "term": "micro", "score": 0.2379 }, { "term": "code", "score": 0.2256 }, { "term": "task work", "score": 0.2098 }, { "term": "micro task work", "score": 0.2053 }, { "term": "code review platform", "score": 0.1936 }, { "term": "review platform", "score": 0.1818 }, { "term": "gamification", "score": 0.1773 }, { "term": "task", "score": 0.1539 }, { "term": "review", "score": 0.1349 }, { "term": "code reviews", "score": 0.126 }, { "term": "quality", "score": 0.1245 }, { "term": "workers", "score": 0.1161 } ], "page_count": 53, "word_count": 9479, "reference_count": 0, "centrality": 0.3265, "betweenness": 0.0014, "abstract": "The evolution of AI depends on upgradable quality datasets. Data is the foundation on which AI algorithms learn and make predictions. High-quality, diverse, and labeled datasets are crucial for training AI models effectively. The availability of quality data plays a significant role in determining the success and impact of AI in disrupted industries. The AI Learning Ecosystem (ALE) facilitates a micro task ecosystem for AI learning. ALE uses its proven and tested decentralized governance ecosystem to provide high-quality diverse datasets for AI learning via gamified micro-task work. Through its testing environment in the industry-leading Code Review DAO (CRDAO), ALE distinguishes itself from competitors through unparalleled decentralized governance optimization that minimizes micro-task work duplication in centralized systems and allows gamified micro-task work to scale high-quality diverse datasets for AI learning. Key Words: Artificial Intelligence, Large Language Models, Dataset, Micro Task Work, Gamification, Quality Controls, Decentralized Autonomous Organization, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Blockchain, Distributed Ledger Technology, Code Assurances JEL Categories: K20, K23, K32, L43, L5, O31, O32 1The Author is grateful to many members of ALE and the open source community who provided valuable feedback. 1 Electronic copy available at: https://ssrn.com/abstract=4755632" }, { "id": "0ae9f33e113e", "filename": "Kaal - 2021 - Hybrid Secure Proof of Stake.pdf", "title": "Hybrid Secure Proof of Stake", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "testnet", "score": 0.5075 }, { "term": "sdao", "score": 0.4229 }, { "term": "casper", "score": 0.3987 }, { "term": "network", "score": 0.1926 }, { "term": "reputation", "score": 0.1837 }, { "term": "validators", "score": 0.1816 }, { "term": "validator", "score": 0.1794 }, { "term": "spos", "score": 0.1646 }, { "term": "node", "score": 0.1586 }, { "term": "pos", "score": 0.1556 }, { "term": "rewards", "score": 0.155 }, { "term": "block", "score": 0.1311 }, { "term": "stake", "score": 0.1009 }, { "term": "community", "score": 0.0967 }, { "term": "proof stake", "score": 0.0905 } ], "page_count": 11, "word_count": 3185, "reference_count": 0, "centrality": 0.2789, "betweenness": 0.0006, "abstract": "In conventional Proof of Stake (PoS), the nodes with higher stake would have a higher probability of being selected for the block rewards. Block rewards are constant regardless of the node reputation. In Secure Proof of Stake (SPoS), the nodes with higher reputation have a higher probability of being selected for the rewards. The main concept in Hybrid Secure Proof of Stake (HSPoS) is to separate the block consensus from the block rewards. HSPoS proposes that the rewards become a function in the reputation of the node. Thus, while the node probability of being selected is based on the fungible stake, the rewards for the block is adjusted by the non-fungible reputation multiplier which is a function of the node’s reputation. HSPoS enables a transitioning process in which traditional PoS consensus algorithms, can be used and maintained while being supplemented with SPoS characteristics and node reputation. This enables enhanced experimentation and allows a slow transitioning from PoS to SPoS. Key Words: Proof of Work (PoW), Secure Proof of Stake (SPoS), Hybrid Secure Proof of Stake (HSPoS), Blockchain, Canary Network, Decentralized Autonomous Organization, Decentralized Governance, Consensus Algorithm, Reputation Staking JEL Categories: K20, K23, K32, L43, L5, O31, O32 1 The Author is grateful to Muhammet Kara for his helpful insights into the history of the Casper Testnets. The author is also very grateful to Dr. Adel Elmessiri for delightful discussions on possible hybrid and phase transitioning consensus algorithm models that allow moving from PoS to SPoS. 1 Electronic copy available at: https://ssrn.com/abstract=3931933" }, { "id": "0d60951ff82e", "filename": "Kaal - 2026 - Reinforcement Learning from Reputation Feedback.pdf", "title": "Reinforcement Learning from Reputation Feedback", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "reinforcement", "score": 0.1919 }, { "term": "cohort", "score": 0.1919 }, { "term": "reinforcement learning", "score": 0.1919 }, { "term": "party", "score": 0.1804 }, { "term": "computative", "score": 0.1799 }, { "term": "measured", "score": 0.1716 }, { "term": "rlhf", "score": 0.1548 }, { "term": "position", "score": 0.1548 }, { "term": "update", "score": 0.1548 }, { "term": "experiment", "score": 0.1548 }, { "term": "primitive", "score": 0.1456 }, { "term": "empirically", "score": 0.1456 }, { "term": "part", "score": 0.1456 }, { "term": "mechanism", "score": 0.1402 }, { "term": "whose", "score": 0.1276 } ], "page_count": 38, "word_count": 16028, "reference_count": 0, "centrality": 0.1837, "betweenness": 0.0005, "abstract": "This paper introduces Reinforcement Learning from Reputation Feedback (RLRF), an alignment mechanism that replaces the human annotator panel of Reinforcement Learning from Human Feedback (RLHF) with an economically incentivized validation pool of computative agents whose members stake non-transferable reputation. The paper grounds the mechanism in the Computative Economics framework (Kaal 2026), in which the analytical primitive is a computative agent characterized by the tuple and the object of analysis is a generated possibility space from which realizations are drawn. Under this framing, the paper takes the conceptual position that RLHF applies a scarcity-economic primitive to a signal-generation task that is computative in nature. The cited inter-annotator agreement rates do not establish that position as a causal explanation. The paper contributes theoretically and empirically. Theoretically, it presents Fisher information dominance as an open empirical question under necessary but insufficient assumptions made explicit in Part IV. It poses equilibrium-trajectory separation as the first open problem in Part VIII. It states Sybil resistance as a design objective whose detector, dispersion statistic, threshold, error model, update, Round 2 update, and are unspecified. Conjecture 1 is withdrawn. Empirically the paper reports a measured cohort, a parameter sweep, and Experiment T as a separate measured selection experiment that does not test the mechanism. The measured cohort of 564 records, produced by twenty distinct model families against twenty-three speci fications and scored by a deterministic checker on cases withheld from the producing party, establishes that a party’s record where the work is checked predicts its accuracy where it is not, at a rank correlation of +0.781 across thirty-six parties with repeated measurement, and that a party failing the checked cases passes the withheld ones in zero of one hundred and sixty-eight observations. On that cohort, a s" }, { "id": "136ce7a884ad", "filename": "Kaal - 2019 - Decentralization - Past, Present, and Future.pdf", "title": "Decentralization – Past, Present, and Future", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "abstract 3411897", "score": 0.3598 }, { "term": "com abstract 3411897", "score": 0.3598 }, { "term": "3411897", "score": 0.3598 }, { "term": "decentralized", "score": 0.2683 }, { "term": "decentralization", "score": 0.244 }, { "term": "technology", "score": 0.1727 }, { "term": "blockchain", "score": 0.1549 }, { "term": "smart", "score": 0.1136 }, { "term": "copy available https", "score": 0.1059 }, { "term": "available https ssrn", "score": 0.105 }, { "term": "electronic copy", "score": 0.1041 }, { "term": "electronic copy available", "score": 0.1041 }, { "term": "copy available", "score": 0.1041 }, { "term": "commerce", "score": 0.1028 }, { "term": "disruptive", "score": 0.1018 } ], "page_count": 45, "word_count": 11287, "reference_count": 0, "centrality": 0.517, "betweenness": 0.0044, "abstract": "This introduction to decentralization examines decentralization’s past, present, and future. By tracing the history of past and existing decentralized systems and by examining emerging decentralized technology solutions, the author highlights the trends that lead to higher levels of decentralization in commerce and society. Key Words: Decentralization, Disruptive Innovation, Emerging Technology, Stable Cryptocurrencies, Illiquidity, Cost, Speculation, Inflation, Price Stability, Transparency, Feedback Effects, Market Stability, Stability Mechanisms, Monetary Policy, Crypto Economics, Token Models, Incentive Design, Tokens, Initial Coin Offerings, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA) Electronic copy available at: https://ssrn.com/abstract=3411897" }, { "id": "13c8d2352bf9", "filename": "Kaal - 2017 - Blockchain Innovation for Private Investment Funds.pdf", "title": "Blockchain Innovation for Private Investment Funds", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "blockchain", "score": 0.4071 }, { "term": "2998033", "score": 0.2999 }, { "term": "abstract 2998033", "score": 0.2999 }, { "term": "com abstract 2998033", "score": 0.2999 }, { "term": "fund", "score": 0.2039 }, { "term": "blockchain technology", "score": 0.1892 }, { "term": "private investment", "score": 0.1778 }, { "term": "technology", "score": 0.1772 }, { "term": "2017", "score": 0.163 }, { "term": "investment", "score": 0.124 }, { "term": "funds", "score": 0.1165 }, { "term": "lendingrobot", "score": 0.1146 }, { "term": "private investment funds", "score": 0.1104 }, { "term": "private investment fund", "score": 0.1049 }, { "term": "2016", "score": 0.1047 } ], "page_count": 36, "word_count": 13661, "reference_count": 0, "centrality": 0.483, "betweenness": 0.0177, "abstract": "Blockchain technology innovation is proliferating in the private investment fund industry. Using a hand-selected dataset of private investment fund advisers that utilize blockchain technology in various functions (N=120), this article shows that the private fund advisers who utilize blockchain technology are able to generate significant benefits for their clients. The data analysis suggests that blockchain technology plays a primary role in front office and investment functions, in the securing of crypto assets, but also in private investment fund managers’ attempts to satisfy the growth expectations of clients. The findings are consistent with anecdotal evidence suggesting that the returns attainable through crypto investments have no short-term match in legacy systems. Although the use of blockchain technology in private investment fund strategies is still in its infancy, as it evolves and accelerates, the associated innovation benefits promise lasting change for the industry. Key Words: Blockchain, Distributed Ledger Technology, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Meta Models, Innovation, Entrepreneur, Startup, Big Data, Private Investment Funds, Hedge Funds, Private Equity, Diversification, Compliance, Optimization, Efficiency JEL Categories: K20, K23, K32, L43, L5, O31, O32 *Associate Professor, University of St. Thomas School of Law (Minneapolis). The author is grateful for outstanding support from librarians Ann Bateson and Megan McNevin as well as research assistants Samuel Evans and Colin Phaneuf. 1 Electronic copy available at: https://ssrn.com/abstract=2998033 Electronic copy available at: https://ssrn.com/abstract=2998033 Table of Content" }, { "id": "140dbab10259", "filename": "Kaal and Bykowski - 2023 - Decentralized Autonomous Organizations (DAO) – A Market Meta Analysis.pdf", "title": "Decentralized Autonomous Organizations (DAO)", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "dao", "score": 0.3562 }, { "term": "daos", "score": 0.2126 }, { "term": "members", "score": 0.1861 }, { "term": "voting", "score": 0.1732 }, { "term": "lexdao", "score": 0.1682 }, { "term": "tokens", "score": 0.1645 }, { "term": "community", "score": 0.1573 }, { "term": "decentralized", "score": 0.1456 }, { "term": "aragon", "score": 0.1395 }, { "term": "token", "score": 0.1389 }, { "term": "work earn", "score": 0.1354 }, { "term": "2023", "score": 0.1285 }, { "term": "vote", "score": 0.1262 }, { "term": "copy available https", "score": 0.1259 }, { "term": "available https ssrn", "score": 0.1248 } ], "page_count": 178, "word_count": 43749, "reference_count": 0, "centrality": 0.5782, "betweenness": 0.0091, "abstract": "Decentralized Autonomous Organizations (DAOs) enable unprecedented technology driven decentralized decision-making tools, transparent governance, and direct participation of stakeholders, making them highly adaptable to the evolving digital age. DAOs disrupt established centralized legacy models across industries. For example, DAOs provide alternatives to traditional banking and investment systems, allowing for decentralized asset management and peer-to-peer transactions. DAOs streamline claims processing, reduce fraud, and enable more accurate risk assessment. DAOs can address issues of misinformation and censorship by fostering community-driven news platforms. Yet, open questions and challenges for DAOs linger. Among those are the establishment of standardized governance mechanisms to ensure fairness, security, and accountability within DAOs. Additionally, scalability issues, legal frameworks, and interoperability between different DAOs are areas that require further exploration and development. The paper provides a dataset (N=[65]) analysis for the DAOs in the dataset selected by assets in DAO treasury across different industries. Descriptive statistics and a comprehensive analysis shows DAO industry trends and highlights governance and other shortcomings in the evolving DAO analysis. The paper provides a normative analysis and outlook. Key Words: Decentralized Autonomous Organization, Distributed Systems, Governance, Distributed Ledger Technology, Regulation, Protocols, Optimization, Principal-Agent, Emerging Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1 Electronic copy available at: https://ssrn.com/abstract=4529715" }, { "id": "1917f964a918", "filename": "Kaal - 2013 - A Comparative Perspective on the Limitations of the Duty of Oversight – A Comment on Lisa Fairfax.pdf", "title": "A Comparative Perspective on the Limitations of the Duty of Oversight – A Comment on Lisa Fairfax", "topic": { "cluster_id": 8, "topic_label": "Blockchain Governance", "top_terms": [ "fairfax", "directors", "duty", "oversight", "corporate" ] }, "keywords": [ { "term": "fairfax", "score": 0.408 }, { "term": "directors", "score": 0.3296 }, { "term": "duty", "score": 0.3101 }, { "term": "oversight", "score": 0.2282 }, { "term": "corporate", "score": 0.1758 }, { "term": "sarbanes oxley", "score": 0.1665 }, { "term": "oxley", "score": 0.1665 }, { "term": "sarbanes", "score": 0.1627 }, { "term": "german", "score": 0.1598 }, { "term": "corporate governance", "score": 0.1524 }, { "term": "liability", "score": 0.1449 }, { "term": "sarbanes oxley act", "score": 0.1401 }, { "term": "oxley act", "score": 0.1401 }, { "term": "comment", "score": 0.1278 }, { "term": "court", "score": 0.1205 } ], "page_count": 11, "word_count": 4337, "reference_count": 0, "centrality": 0.0476, "betweenness": 0.014, "abstract": "=2215283 A complete list of University of St. Thomas School of Law Research Papers can be found at: http://www.ssrn.com/link/st-thomas-legal-studies.html" }, { "id": "198fb0749390", "filename": "Calcaterra et al. - 2019 - Stable Cryptocurrencies - First Order Principles.pdf", "title": "Stable Cryptocurrencies - First Order Principles", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "currency", "score": 0.2976 }, { "term": "stable", "score": 0.2775 }, { "term": "stable cryptocurrencies", "score": 0.238 }, { "term": "cryptocurrency", "score": 0.2255 }, { "term": "stablecoin", "score": 0.2155 }, { "term": "cryptocurrencies", "score": 0.1838 }, { "term": "tether", "score": 0.1744 }, { "term": "2018", "score": 0.1741 }, { "term": "money", "score": 0.1538 }, { "term": "sdao", "score": 0.1504 }, { "term": "price", "score": 0.1453 }, { "term": "stable cryptocurrency", "score": 0.1314 }, { "term": "hot", "score": 0.131 }, { "term": "reserve", "score": 0.1275 }, { "term": "taxes", "score": 0.121 } ], "page_count": 30, "word_count": 8588, "reference_count": 0, "centrality": 0.4558, "betweenness": 0.0047, "abstract": "The emergence and proliferation of stable cryptocurrencies necessitate the establishment of first order design principles for stable cryptocurrencies. After highlighting the benefits of stable cryptocurrencies for monetary policy making, overall market stability, and their impact on the emergence of decentralized commerce, the authors introduce First Order Principles for stable cryptocurrency design and their essential functions. The core design features and their interoperative feedback effects revolve around: (1) burning coins through bonds vs. reserves, (2) transaction vs. holding taxes, (3) repegging, and (4) governance. Key Words: Stable Cryptocurrencies, Liquidity, Corruption, Cost, Speculation, Inflation, Price Stability, Transparency, Feedback Effects, Market Stability, Stability Mechanisms, Monetary Policy, Emerging Technology, Crypto Economics, Token Models, Incentive Design, Velocity, Supply, Demand, Tokens, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O3 * Professor of Mathematics, Metropolitan State University (Minneapolis, USA) ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA) *** Professor of Finance, Metropolitan State University (Minneapolis, USA) 0 Electronic copy available at: https://ssrn.com/abstract=3402701" }, { "id": "1a98edb02e8a", "filename": "Kaal - 2013 - Investment Adviser Regulation.pdf", "title": "Investment Adviser Regulation", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "advisers", "score": 0.4221 }, { "term": "adviser", "score": 0.319 }, { "term": "investment", "score": 0.3139 }, { "term": "investment advisers", "score": 0.2989 }, { "term": "investment adviser", "score": 0.2395 }, { "term": "iaa", "score": 0.2284 }, { "term": "80b", "score": 0.2115 }, { "term": "sec", "score": 0.1999 }, { "term": "15 80b", "score": 0.1322 }, { "term": "frank act", "score": 0.1147 }, { "term": "dodd frank act", "score": 0.1147 }, { "term": "dodd frank", "score": 0.1092 }, { "term": "item", "score": 0.1078 }, { "term": "dodd", "score": 0.1066 }, { "term": "id", "score": 0.1039 } ], "page_count": 23, "word_count": 5938, "reference_count": 0, "centrality": 0.2313, "betweenness": 0.0035, "abstract": "The Dodd-Frank Act and SEC implementation rules have changed investment adviser regulation. This book chapter summarizes the most pertinent rules for investment advisers, emphasizes recent changes in the law, and shows how the updated rules have been implemented into the existing regulatory framework for investment advisers." }, { "id": "2033fccc767e", "filename": "Kaal - 2026 - Computative Economics A Framework for Economic Analysis under Computational Abundance.pdf", "title": "Computative Economics A Framework for Economic Analysis under Computational Abundance", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "computative", "score": 0.2084 }, { "term": "possibility", "score": 0.1784 }, { "term": "computational", "score": 0.1761 }, { "term": "equilibrium", "score": 0.1733 }, { "term": "computative economics", "score": 0.1676 }, { "term": "space", "score": 0.144 }, { "term": "commons", "score": 0.144 }, { "term": "theorem", "score": 0.144 }, { "term": "abundance", "score": 0.144 }, { "term": "computative agent", "score": 0.144 }, { "term": "generated possibility", "score": 0.144 }, { "term": "possibility space", "score": 0.144 }, { "term": "recursive equilibrium", "score": 0.144 }, { "term": "computational abundance", "score": 0.144 }, { "term": "generated", "score": 0.1352 } ], "page_count": 34, "word_count": 9088, "reference_count": 0, "centrality": 0.102, "betweenness": 0.0001, "abstract": "This paper develops Computative Economics as a framework for economic analysis where the binding constraint on production is computational rather than physical. The framework generalizes Arrow-Debreu equilibrium existence to economies with endogenous possibility spaces. Homo economicus is replaced by the computative agent, a tuple (C, O, M, G, R); the scarce good by the generated possibility space; competitive equilibrium by recursive equilibrium, formalized as the fixed point of a composite best-response map. Existence is proved via Brouwer under convexity and continuity; uniqueness and convergent iteration via Banach under contraction. Four propositions are derived from fourteen stated assumptions, and Ostrom's design principles for commons governance are translated to the computational domain. The framework is positioned as a companion paradigm to Neoclassical Economics, applicable where the computational primitive holds. Keywords: computative agent; generated possibility space; recursive equilibrium; Brouwer fixed-point theorem; Banach fixed-point theorem; commons governance; computational abundance; objective function governance JEL Classification: B41, C62, D50, D83, O33, P16 1 University of St. Thomas School of Law; wulfkaal@stthomas.edu; ORCID 0000-0003-0757-275X. The author thanks an earlier working draft circle for comments on prior versions. In accordance with the American Economic Association's Disclosure Policy on the use of generative artificial intelligence tools, the author discloses that drafting assistance was provided by large language model systems in the preparation of this manuscript. The author is solely accountable for all content, including the correctness of formal results and the accuracy of cited literature, and has verified all sources independently. The author has no financial conflicts of interest to disclose with respect to the subject matter of this paper. 1 Kaal | Computative Economics I. Introduction This paper generalizes the exis" }, { "id": "20603ab28e2f", "filename": "Kaal - 2026 - Citation Honesty Mechanisms in Weighted Directed Acyclic Graph Governance.pdf", "title": "Citation Honesty Mechanisms in Weighted Directed Acyclic Graph Governance", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "citation", "score": 0.2552 }, { "term": "honesty", "score": 0.2217 }, { "term": "wdag governance", "score": 0.1783 }, { "term": "wdag", "score": 0.1666 }, { "term": "equilibrium", "score": 0.1523 }, { "term": "accuracy", "score": 0.1465 }, { "term": "identifies", "score": 0.1439 }, { "term": "citation-weighted", "score": 0.1439 }, { "term": "integrated", "score": 0.1439 }, { "term": "solution", "score": 0.1439 }, { "term": "theorem", "score": 0.1439 }, { "term": "marginal", "score": 0.1352 }, { "term": "acyclic graph", "score": 0.1182 }, { "term": "agent", "score": 0.1142 }, { "term": "demonstrates", "score": 0.1142 } ], "page_count": 20, "word_count": 6382, "reference_count": 0, "centrality": 0.3605, "betweenness": 0.0013, "abstract": "This paper identifies and resolves a critical architectural flaw in citation-weighted reputation systems operating within Weighted Directed Acyclic Graph (WDAG) governance structures for Decentralized Autonomous Organizations (DAOs). Under existing formulations, rational agents face a direct financial disincentive to cite prior contributions, as citation-weighted value allocation through PageRank-derived mechanisms transfers economic reward from the citing agent to the cited agent. This under-citation incentive undermines the foundational promise of knowledge attribution in decentralized collaborative systems. The paper formalizes the under-citation problem, demonstrates the impossibility of precise citation quantification, and identifies a gap in existing game-theoretic proofs that purport to establish citation honesty as an equilibrium. Drawing on the WDAG governance framework developed in Calcaterra (2018), this paper proposes an integrated solution that decouples citation accuracy from quality-based payment, introduces validator-assessed citation honesty as a separately ranked and rewarded dimension, and establishes retroactive audit mechanisms with graduated sanctions. A new equilibrium theorem (Theorem 3b) demonstrates that under the 1 The author is extremely grateful for the ever evolving theoretical discussions with Craig Calcaterra and Jonathan Kung and for theoretical AI and law WDAG and symbolic AI discussions with Morgan Grey. The author is also very grateful for excellent research assistance by Mickey Bernardi. 1 Citation Honesty in WDAG Governance - Draft Version 0.04 integrated solution, honest citation constitutes a Nash equilibrium when validators assess citation accuracy and the marginal effect of citation accuracy on validator-assessed honesty scores exceeds the marginal gain from self-citation inflation. The paper situates these findings within the broader framework of dynamic regulation theory and New Institutional Economics incomplete contract" }, { "id": "2113e75d4244", "filename": "Kaal - 2021 - REPUTATION AS CAPITAL – How Decentralized Autonomous Organizations Address Shortcomings in the Ventu.pdf", "title": "REPUTATION AS CAPITAL – How Decentralized Autonomous Organizations Address Shortcomings in the Ventu", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "vc", "score": 0.4306 }, { "term": "reputation", "score": 0.3163 }, { "term": "capital", "score": 0.2992 }, { "term": "vcs", "score": 0.2624 }, { "term": "daoic", "score": 0.2505 }, { "term": "reputation capital", "score": 0.1882 }, { "term": "rop", "score": 0.1861 }, { "term": "rnft", "score": 0.1718 }, { "term": "daoic members", "score": 0.1575 }, { "term": "venture", "score": 0.1502 }, { "term": "round", "score": 0.1403 }, { "term": "supra note", "score": 0.1351 }, { "term": "supra", "score": 0.1266 }, { "term": "fungible reputation", "score": 0.1244 }, { "term": "note", "score": 0.1233 } ], "page_count": 26, "word_count": 7315, "reference_count": 0, "centrality": 0.5918, "betweenness": 0.0083, "abstract": "- Venture capital (VC) models can be optimized with emerging decentralized technology. After discussing the shortcomings of the existing VC market and the rise of alternative early round funding mechanisms, the paper highlights the evolution of VC businesses that are operated by a Decentralized Autonomous Organization (DAO). Key Words: Venture Capital, Decentralized Autonomous Organization, Reputation, Decentralized Governance, Capital, Venture Funding, Finance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O3 1 Professor of Law, University of St. Thomas School of Law, Minneapolis. The author is grateful for many discussions with Craig Calcaterra on the uses of reputation systems. They author is grateful for outstanding research assistance from Hayley Howe and research librarian Elizabeth Hadden-Peck. 0 Electronic copy available at: https://ssrn.com/abstract=3962614" }, { "id": "2119194f55b6", "filename": "Kaal - 2013 - Evolution of Law Dynamic Regulation in a New Institutional Economics Framework.pdf", "title": "Evolution of Law Dynamic Regulation in a New Institutional Economics Framework", "topic": { "cluster_id": 10, "topic_label": "Dynamic Regulation", "top_terms": [ "rulemaking", "innovation", "regulatory", "regulation", "dynamic regulation" ] }, "keywords": [ { "term": "rulemaking", "score": 0.4975 }, { "term": "rulemakers", "score": 0.297 }, { "term": "dynamic regulation", "score": 0.2908 }, { "term": "dynamic", "score": 0.2642 }, { "term": "rulemaking process", "score": 0.1981 }, { "term": "public rulemakers", "score": 0.1667 }, { "term": "feedback", "score": 0.1569 }, { "term": "regulation", "score": 0.1556 }, { "term": "richter", "score": 0.1453 }, { "term": "incomplete contract", "score": 0.1439 }, { "term": "institutional", "score": 0.1416 }, { "term": "kirchner", "score": 0.136 }, { "term": "furubotn", "score": 0.1291 }, { "term": "incomplete", "score": 0.1136 }, { "term": "nie", "score": 0.113 } ], "page_count": 19, "word_count": 7180, "reference_count": 6, "centrality": 0.2041, "betweenness": 0.007, "abstract": "The literature on New Institutional Economics (NIE) evaluates the relationship between public and private rulemaking in the evolution of law. This paper introduces the concept of dynamic regulation as an optimization process for the learning experience in the NIE framework. Dynamic regulation describes intra- and inter-jurisdictional feedback effects between different public rulemakers and between private and public rulemakers. Dynamic elements in the rulemaking process may increase the availability of relevant information for rulemaking and may improve institutional design." }, { "id": "261ddfc2a5ce", "filename": "Kaal - 2024 - DAO Market Meta Analysis 2024.pdf", "title": "DAO Market Meta Analysis 2024", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "work earn", "score": 0.3401 }, { "term": "organizational communication", "score": 0.337 }, { "term": "version10", "score": 0.2371 }, { "term": "regulatory compliance", "score": 0.2284 }, { "term": "earn", "score": 0.2043 }, { "term": "scores", "score": 0.197 }, { "term": "communication", "score": 0.1967 }, { "term": "dao", "score": 0.1903 }, { "term": "decentralization", "score": 0.1878 }, { "term": "attack resistance", "score": 0.1836 }, { "term": "daos", "score": 0.1817 }, { "term": "lacks", "score": 0.1739 }, { "term": "attack", "score": 0.1591 }, { "term": "resistance", "score": 0.1473 }, { "term": "token", "score": 0.1455 } ], "page_count": 72, "word_count": 18289, "reference_count": 2, "centrality": 0.619, "betweenness": 0.016, "abstract": "Decentralized Autonomous Organizations (DAOs) represent a transformative approach to governance and decision-making, driven by technology that enables decentralized, transparent, and direct stakeholder participation. DAOs are disrupting traditional centralized models across various industries. For instance, they offer alternatives to conventional banking and investment systems by facilitating decentralized asset management and peer-to-peer transactions. In the insurance sector, DAOs streamline claims processing, reduce fraud, and enhance risk assessment accuracy. They also provide solutions to combat misinformation and censorship through community-driven news platforms. However, several challenges and open questions persist for DAOs. Key issues include the need to establish standardized governance mechanisms to ensure fairness, security, and accountability. Additionally, scalability concerns, legal frameworks, and interoperability between different DAOs are critical areas requiring further exploration and development. This paper presents an analysis of the DAO marketplace that utilizes a dataset of 50 DAOs selected by the assets size in their treasuries across different industries. Through descriptive statistics and comprehensive analysis, the paper identifies trends in DAO industries and highlights governance and other shortcomings in the evolving landscape of DAOs. Key Words: Decentralized Autonomous Organization, Cryptocurrencies, Blockchain, DLT, Distributed Systems, Governance, Distributed Ledger Technology, Regulation, Protocols, Optimization, Principal-Agent, Emerging Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1ProfessorofLaw.TheauthorisgratefulforexcellentresearchassistancebyBeauRaymond,Jack Palmer,andJoshNierengarten.TheauthorisgratefultothestudentinhisclassonDecentralization- TechandPolicyinthespringsemester2024fortheirsupportingeneratingthedataforthisstudy. 1 Version10.0-May2024" }, { "id": "26e22a74a0ab", "filename": "Kaal - 2021 - Decentralization and Feedback Effects.pdf", "title": "Decentralization and Feedback Effects", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "decentralization", "score": 0.5582 }, { "term": "dex", "score": 0.1833 }, { "term": "decentralized", "score": 0.1805 }, { "term": "governmental", "score": 0.1716 }, { "term": "accessed june 2020", "score": 0.1626 }, { "term": "june 2020", "score": 0.1565 }, { "term": "accessed june", "score": 0.1565 }, { "term": "scientific", "score": 0.155 }, { "term": "centralized", "score": 0.1471 }, { "term": "accessed", "score": 0.144 }, { "term": "societal", "score": 0.1147 }, { "term": "society", "score": 0.1146 }, { "term": "2020", "score": 0.1124 }, { "term": "peer", "score": 0.1078 }, { "term": "local", "score": 0.1034 } ], "page_count": 32, "word_count": 9467, "reference_count": 2, "centrality": 0.5578, "betweenness": 0.0076, "abstract": "This article discusses the historical most relevant types of decentralization that helped usher in the age of decentralization. Key components of decentralization that are discussed herein include: decentralization of science, technological decentralization, organizational decentralization, market decentralization, governmental decentralization, and societal decentralization. The author discusses the feedback effects that exist between the respective types of decentralization. Key Words: Decentralization, History, Digital Assets, Decentralized Finance, Blockchain, Start-up, Decentralized Commerce, Emerging Technology, Token Models, Incentive Design, Tokens, Distributed Ledger Technology, Decentralized Infrastructure, Reputation Staking JEL Categories: K20, K23, K32, L43, L5, O31, O32 ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). The author is gratefull for ongoing discussions about decentralized technology solutions with Craig Calcaterra. The author is also grateful for outstanding research assistance from Hayley Howe and research librarian assistance from Nicole Kinn. The author did not receive any form of financial incentive for authoring this article. 1 Electronic copy available at: https://ssrn.com/abstract=3808852 DECENTRALIZATION" }, { "id": "28bace2b0e1d", "filename": "Kaal et al. - 2015 - Did the Dodd-Frank Act Impact Private Fund Performance – Evidence from 2010-2015.pdf", "title": "DID THE DODD-FRANK ACT IMPACT PRIVATE FUND PERFORMANCE ? – EVIDENCE FROM", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "private fund", "score": 0.35 }, { "term": "fund", "score": 0.3201 }, { "term": "advisers", "score": 0.1957 }, { "term": "2012", "score": 0.1855 }, { "term": "dodd frank act", "score": 0.1848 }, { "term": "frank act", "score": 0.1848 }, { "term": "dodd frank", "score": 0.1814 }, { "term": "dodd", "score": 0.177 }, { "term": "hedge", "score": 0.1738 }, { "term": "frank", "score": 0.1616 }, { "term": "funds", "score": 0.1546 }, { "term": "aum", "score": 0.1356 }, { "term": "discontinuity", "score": 0.1289 }, { "term": "hedge fund", "score": 0.1238 }, { "term": "registration", "score": 0.1235 } ], "page_count": 28, "word_count": 9113, "reference_count": 24, "centrality": 0.1497, "betweenness": 0.0003, "abstract": "Title IV of the Dodd-Frank Act introduced the most significant regulatory change in the history of the private fund industry. To analyze the effect of Title IV on the private fund industry, we use five years of private fund performance data with over 7,000 reporting private funds. Our findings do not support the private fund industry’s claims that increased supervision and disclosure mandated in the Dodd-Frank Act have a negative effect on private fund earnings." }, { "id": "2ac577dab85d", "filename": "Kaal - 2024 - The Future of Law - Dynamic Web3 Governance.pdf", "title": "Draft Version 8 - September 2024", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "sunset", "score": 0.3083 }, { "term": "sunset provisions", "score": 0.2857 }, { "term": "garbage", "score": 0.2314 }, { "term": "wdag", "score": 0.2238 }, { "term": "september 2024", "score": 0.2169 }, { "term": "legal garbage", "score": 0.2083 }, { "term": "draft version september", "score": 0.2037 }, { "term": "version september", "score": 0.2037 }, { "term": "provisions", "score": 0.1987 }, { "term": "laws", "score": 0.196 }, { "term": "draft version", "score": 0.1663 }, { "term": "garbage collection", "score": 0.162 }, { "term": "legal garbage collection", "score": 0.1528 }, { "term": "2024", "score": 0.1295 }, { "term": "legislative", "score": 0.1175 } ], "page_count": 44, "word_count": 15586, "reference_count": 0, "centrality": 0.415, "betweenness": 0.004, "abstract": "This article proposes a novel web3 governance model using Weighted Directed Acyclic Graphs (WDAGs) and validation pools with reputation staking, combined with a federated communications protocol, to address the negative externalities of continuous legal growth. The traditional methods of legal garbage removal, such as sunset provisions and periodic legal reviews, are hindered by inefficiencies, political manipulation, and resource demands. In contrast, the WDAG system enables a dynamic, self-enforcing, and community-driven approach to legal remediation, ensuring the continuous relevance, efficiency, and adaptability of legal frameworks in a decentralized environment. This model utilizes real-time data analysis and community input to organically adjust legal norms, minimizing political resistance and unintended consequences while preserving legal history and promoting transparency. The integration of the WDAG framework into web3 governance aligns with the needs of a rapidly evolving technological and social landscape. By facilitating a more responsive and equitable legal system, the WDAG model supports economic growth, fosters democratic engagement, and ensures that legal rules and regulations remain aligned with contemporary societal values. This approach represents a significant advancement in legal governance, demonstrating how emerging technologies can create sustainable and adaptive legal frameworks that better reflect community consensus and adapt to technological and societal changes. Key Words: Law Growth, Web3, Negative Externalities, Dynamic Regulation, Sunset Provisions, Web3 Governance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Distributed Ledger Technology, Weighted Directed Acyclic Graphs (WDAGs), Legal Garbage Collection, Reputation Staking, JEL Categories: K20, K23, K32, L43, L5, O31, O32 1ProfessorofLaw.TheauthorisgratefulforexcellentresearchassistancefromNicoleKatlin,research librarian,andJackPlamer,researchassistant. 1 Draft Version 8 - September 2024" }, { "id": "2b5a6365cf02", "filename": "Kaal - 2024 - Impact Investing Innovation - From Impact 1.0 to 3.0.pdf", "title": "Impact Investing Innovation", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "impact", "score": 0.7036 }, { "term": "certificate", "score": 0.3117 }, { "term": "donors", "score": 0.2137 }, { "term": "donor", "score": 0.2066 }, { "term": "carbon", "score": 0.1917 }, { "term": "web3", "score": 0.1893 }, { "term": "certificates", "score": 0.1626 }, { "term": "community", "score": 0.147 }, { "term": "social impact", "score": 0.1313 }, { "term": "credits", "score": 0.1245 }, { "term": "philanthropy", "score": 0.1101 }, { "term": "marketplace", "score": 0.0957 }, { "term": "projects", "score": 0.0897 }, { "term": "social", "score": 0.0859 }, { "term": "funding", "score": 0.0785 } ], "page_count": 61, "word_count": 15779, "reference_count": 74, "centrality": 0.3946, "betweenness": 0.0012, "abstract": "Impact innovation has evolved from Impact 1.0 to 3.0. Each phase of impact innovation iterates on prior improvements and adds new components. Whereas Impact 1.0 has emerged with Carbon Credit Trading and Impact 2.0 has contributed participatory grantmaking, impact measurement, and price competitions. Impact 3.0 builds on those prior accomplishments with emerging Web3 community toolsets and impact certificate trading. These combined features enable Impact 3.0 to scale philanthropy to unprecedented levels. Key Words : Social Impact, ESG, Impact Certificates, Carbon Credits, Decentralized Autonomous Organization, Finance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Blockchain, Distributed Ledger Technology JEL Categories : K20, K23, K32, L43, L5, O31, O32 1 Professor of Law - University of St. Thomas School of Law. The author is grateful for feedback and discussions with Eric Kessler, Sampriti Ganguli, Amir Ansari, and Phillip Alvarez. The author is also grateful for excellent research assistance by Nicole Catlin and Beau Raymond. 1 Electronic copy available at: https://ssrn.com/abstract=4685567" }, { "id": "2e15dbcebdbb", "filename": "Kaal - 2020 - Digital Asset Market Evolution.pdf", "title": "Digital Asset Market Evolution", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "digital", "score": 0.3217 }, { "term": "defi", "score": 0.2545 }, { "term": "cbdc", "score": 0.2333 }, { "term": "digital asset", "score": 0.1819 }, { "term": "icos", "score": 0.1759 }, { "term": "supra note", "score": 0.1687 }, { "term": "supra", "score": 0.1593 }, { "term": "note", "score": 0.1508 }, { "term": "digital assets", "score": 0.1419 }, { "term": "digital asset market", "score": 0.1418 }, { "term": "asset market", "score": 0.1393 }, { "term": "bitcoin", "score": 0.1382 }, { "term": "central bank", "score": 0.1374 }, { "term": "asset", "score": 0.1313 }, { "term": "market evolution", "score": 0.1202 } ], "page_count": 80, "word_count": 23226, "reference_count": 0, "centrality": 0.483, "betweenness": 0.0068, "abstract": "The market for digital assets has evolved since its inception in 2009. Its rapid proliferation in 2016-18 was followed by significant downward corrections in 2018-19. The article evaluates the central stages of the evolution of the market in digital assets and the affected market participants. It presents and compares market data for initial coin offerings, equity offerings, and initial exchange offerings in blockchain and digital asset startups. The author examines data trends and their underlying causes in the evolution of the market for digital assets. Particular emphasis is placed on the emerging market for Decentralized Finance (DeFi) and its role in the evolution of digital assets. The article examines data to evaluate the feasibility of a DeFi market evolution in the decentralized market infrastructure environment of the early 2020s. Key Words: Digital Assets, Decentralized Finance, Initial Coin Offering, Blockchain, Startup, Decentralized Commerce, Reputation Verification, Emerging Technology, Crypto Economics, Token Models, Incentive Design, Tokens, Equity, Distributed Ledger Technology, Decentralized Infrastructure ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). The author is on the board of directors of the Emerging Technology Association in Zug, Switzerland. He is also a founding member of the DevDAO and routinely advises digital asset businesses and startups, crypto hedge funds, digital asset exchanges, and policy makers. The author is grateful for outstanding research assistance from Hayley Howe and research librarian assistance from Nicole Kinn. The author did not receive any form of financial incentive for authoring this article. 1 Electronic copy available at: https://ssrn.com/abstract=3606663 DIGITAL ASSET MARKET EVOLUTION JEL Categories: K20, K23, K32, L43, L5, O31, O32" }, { "id": "2e76aee5824f", "filename": "Kaal and Henkel - 2011 - Contingent Capital with Sequential Triggers.pdf", "title": "Legal Studies Research Paper No. 2012-01", "topic": { "cluster_id": 2, "topic_label": "General Research", "top_terms": [ "contingent capital", "contingent", "hhttttppss", "eelleeccttrroonniicc ccooppyy", "hhttttppss ssssrrnn" ] }, "keywords": [ { "term": "contingent capital", "score": 0.4002 }, { "term": "contingent", "score": 0.3329 }, { "term": "ccs", "score": 0.2423 }, { "term": "capital", "score": 0.2299 }, { "term": "trigger", "score": 0.1426 }, { "term": "henkel", "score": 0.1362 }, { "term": "conversion", "score": 0.1314 }, { "term": "supra note", "score": 0.1296 }, { "term": "supra", "score": 0.1263 }, { "term": "post author", "score": 0.1231 }, { "term": "post author pages", "score": 0.1231 }, { "term": "author pages", "score": 0.1231 }, { "term": "2012 46", "score": 0.1231 }, { "term": "note", "score": 0.118 }, { "term": "kaal henkel", "score": 0.1155 } ], "page_count": 59, "word_count": 28185, "reference_count": 0, "centrality": 0.0544, "betweenness": 0.0272, "abstract": "=1908473 EEElleeleccctttrrrooonnniiccic cccooopppyyy aaavvvaaaiilliaalabbblleele aaattt::: hhhttttttpppss::://////ssssssrrrnnn...cccooommm///aaabbbssstttrrraaacccttt===111999000888444777333" }, { "id": "307631d8e6d4", "filename": "Calcaterra and Kaal - 2018 - Secure Proof of Stake Protocol.pdf", "title": "Draft Version 0.2", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "sem", "score": 0.4435 }, { "term": "sem tokens", "score": 0.2957 }, { "term": "block", "score": 0.2617 }, { "term": "spos", "score": 0.2284 }, { "term": "tokens", "score": 0.1771 }, { "term": "retrieved", "score": 0.1735 }, { "term": "protocol", "score": 0.1516 }, { "term": "producer", "score": 0.1447 }, { "term": "platform", "score": 0.1369 }, { "term": "abstract 3125827", "score": 0.1325 }, { "term": "com abstract 3125827", "score": 0.1325 }, { "term": "3125827", "score": 0.1239 }, { "term": "validation pool", "score": 0.1238 }, { "term": "7th", "score": 0.1212 }, { "term": "fees", "score": 0.116 } ], "page_count": 38, "word_count": 15707, "reference_count": 6, "centrality": 0.381, "betweenness": 0.0009, "abstract": "The Secure Proof of Stake protocol (SPoS) uses reputation-verification to solve the centralization, efficiency, and security problems that afflict existing blockchain consensus protocols. At heart, a secure proof of stake protocol follows naturally from a secure decentralized autonomous system for validating the reputation of anonymous users. SPoS has several advantageous features over previous PoS protocols. SPoS enables on-chain governance to decide issues such as standards for block creation, policing, and scaling. All protocol upgrades are handled swiftly, decisively, openly, and stably, through the weighted democracy of reputation-staked decision making. Because nodes no longer hash mine but rather check the validity of blocks and vote, SPoS is more efficient than proof-of-work consensus. This paper explains the SPoS protocol and how it maintains decentralization, efficiency, liveness, swift finality, and anonymity, while addressing the security issues of Byzantine faults, the various 51% attacks, stake grinding, the tragedy of the commons, DoS attacks, censorship, liveness faults, Sybil attacks, tyranny of the majority, and soft protocol upgrades. Electronic copy available at: https://ssrn.com/abstract=3125827" }, { "id": "33defa8cf1f7", "filename": "Kaal and Lacine - 2015 - Stock Price Response to Non- and Deferred Prosecution Agreements.pdf", "title": "Stock Price Response to Non- and Deferred Prosecution Agreements", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "dpa", "score": 0.665 }, { "term": "dpas", "score": 0.4455 }, { "term": "panel", "score": 0.1417 }, { "term": "stock price", "score": 0.1324 }, { "term": "median", "score": 0.1208 }, { "term": "sample", "score": 0.1128 }, { "term": "fines", "score": 0.1099 }, { "term": "governance changes", "score": 0.1092 }, { "term": "firms", "score": 0.1089 }, { "term": "cars", "score": 0.1058 }, { "term": "morningstar", "score": 0.1042 }, { "term": "competitors", "score": 0.102 }, { "term": "stock", "score": 0.0964 }, { "term": "doj", "score": 0.0928 }, { "term": "company", "score": 0.0863 } ], "page_count": 24, "word_count": 7857, "reference_count": 4, "centrality": 0.2789, "betweenness": 0.0077, "abstract": "In response to perceived corporate governance shortcomings in major U.S. corporations, the U.S. Department of Justice, starting in 2002, substantially increased the execution of non- and deferred prosecution agreements (N/DPAs). This study examines investor responses to three events that define N/DPAs and N/DPA mandated governance improvements, specifically, the official DOJ press release announcing the execution of an N/DPA, the date of the start of the term of the N/DPA, and the date of the end of the term of the N/DPA. Our hand-selected dataset comprises all institutions that executed N/DPAs from 1993 to 2015 (N=330) and are publicly traded (N=94). We document a significant and predictable positive stock price response to the DOJ press release and the start of the N/DPA term. Our tests indicate that the market interprets the three events not in isolation but as sequential and conditional events. We also find that investor’s response differs depending on the industry and severity of financial fines and N/DPA mandated governance improvements. We observe no systematic price momentum beyond the three core dates identified in our study, implying that the market is reasonably efficient with respect to information about N/DPAs. Our results are robust to alternative procedures and definitions." }, { "id": "34b1debef2f6", "filename": "Fenwick et al. - 2018 - Legal Education in a Digital Age Why 'Coding for Lawyers' Matters.pdf", "title": "TILEC Discussion Paper", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "lawyers", "score": 0.3944 }, { "term": "ta", "score": 0.2723 }, { "term": "ea", "score": 0.2618 }, { "term": "legal tech", "score": 0.2495 }, { "term": "coding", "score": 0.2303 }, { "term": "th", "score": 0.2148 }, { "term": "students", "score": 0.195 }, { "term": "blockchain", "score": 0.175 }, { "term": "code", "score": 0.1501 }, { "term": "tech", "score": 0.1296 }, { "term": "digital", "score": 0.1247 }, { "term": "technology", "score": 0.1209 }, { "term": "2018", "score": 0.1132 }, { "term": "67", "score": 0.1027 }, { "term": "copy available https", "score": 0.0999 } ], "page_count": 33, "word_count": 8487, "reference_count": 0, "centrality": 0.0884, "betweenness": 0.0026, "abstract": "In this paper, we explain the benefits of introducing a “Coding for Lawyers” course in the legal curriculum, and present our initial experiences with the course in Europe and the United States. The paper outlines the broader context of the transformation of education in a digital age; describes the importance of computer code in a legal context, particularly in terms of on-going changes in the legal profession; and, introduces the main features of the course and its initial reception. The main argument is to suggest that the lawyers of the future will be “transaction engineers” and that to perform this function effectively, legal professionals need to be able to understand the basic concepts and power of coding." }, { "id": "350ca2eb3957", "filename": "Kaal - 2025 - The UDLC DAO Operationalizing a Continuously Evolving Universal Digital Law Codex Through Weighted.pdf", "title": "December 2025", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "udlc", "score": 0.6618 }, { "term": "codex", "score": 0.3669 }, { "term": "december 2025", "score": 0.1992 }, { "term": "reputation", "score": 0.1875 }, { "term": "rep", "score": 0.1493 }, { "term": "2025", "score": 0.1412 }, { "term": "dao", "score": 0.1391 }, { "term": "validation", "score": 0.1332 }, { "term": "validation pool", "score": 0.1281 }, { "term": "wdag", "score": 0.1026 }, { "term": "fungible", "score": 0.0928 }, { "term": "pool", "score": 0.0928 }, { "term": "weighted", "score": 0.0865 }, { "term": "december", "score": 0.0859 }, { "term": "expert", "score": 0.0841 } ], "page_count": 26, "word_count": 6407, "reference_count": 0, "centrality": 0.5714, "betweenness": 0.0224, "abstract": "No existing legal order—national, supranational, or private—can evolve at the speed of exponential technological change without sacrificing legitimacy, enforceability, or both. The Universal Digital Law Codex (UDLC) was therefore designed from inception as a constitutionally dynamic private legal framework that explicitly mandates continuous adaptation, annual AI-assisted review, and legal garbage collection. The Codex further requires a UDLC DAO as the vehicle for this evolution, yet deliberately leaves its governance mechanics unspecified to avoid premature centralization. This article resolves that constitutional gap by demonstrating the perfect structural isomorphism between the UDLC’s mandates and a decentralized governance architecture comprising a Weighted Directed Acyclic Graph (WDAG) forum, tight-coupling Validation Pools, non-fungible reputation (REP) tokens, Work/Availability Smart Contracts, and native anti-ossification mechanisms. When fused, these components operationalize the UDLC DAO as the world’s first genuinely living universal private legal order. A legal order that delivers real-time adaptivity, days rather than decades. It is a global expert meritocracy earned through objective contribution accuracy, fully transparent and algorithmically weighted precedent, endogenous resistance to ossification, and long-term economic sustainability through reputation-weighted treasury distributions. The resulting institution does not merely improve upon existing legal governance. It constitutes a new genus: a self-evolving, meritocratic, economically self-funding legal system capable of providing globally enforceable certainty at the pace of digital innovation. Key Words: UDLC, UDLC Codex, UDLC DAO, Decentralized Autonomous Organizations, Dynamic Legal Governance, Weighted Directed Acyclic Graph, Reputation Staking, Validation Pools, Universal Private Law, Digital Assets JEL Categories: K20, K22, K23, K32, L14, O31, O33, O38 1 Professor of Law. University of St. Thomas School of law. This draft of the UDLC DAO voting logic builds on the pioneering scholarship on decentralized reputation systems by Prof. Wulf A. Kaal and Prof. Craig Calcaterra. The author is deeply grateful for the extraordinary collaboration with Prof. Andreas Furrer and Dr. Stephan Meyer, whose brilliance, insight, and tireless effort produced the first remarkably coherent and visionary draft of the UDLC Codex discussed in this article and available on SSRN here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5886342. Special thanks also go to Prof. Andreas Furrer for our prior co-authorship on the groundbreaking paper: Andreas Furrer & Wulf A. Kaal, Universal Digital Law Codex (UDLC): Building the Legal Infrastructure for the Digital Era (Oct. 1, 2025), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5554218. 1 December 2025" }, { "id": "37725e328f6d", "filename": "Kaal and Lacine - 2014 - The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance - Evidence from 1993-2.pdf", "title": "THE EFFECT OF N/DPAS IN CORPORATE GOVERNANCE", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "dpas", "score": 0.5327 }, { "term": "corporate", "score": 0.2551 }, { "term": "prosecutors", "score": 0.1904 }, { "term": "prosecution", "score": 0.1883 }, { "term": "corporate governance", "score": 0.1851 }, { "term": "supra note", "score": 0.1808 }, { "term": "supra", "score": 0.1695 }, { "term": "dpas corporate", "score": 0.1687 }, { "term": "dpas corporate governance", "score": 0.1658 }, { "term": "note", "score": 0.1611 }, { "term": "attorney", "score": 0.1485 }, { "term": "effect dpas", "score": 0.1458 }, { "term": "dpa", "score": 0.1448 }, { "term": "attorney client", "score": 0.1431 }, { "term": "effect dpas corporate", "score": 0.143 } ], "page_count": 48, "word_count": 19919, "reference_count": 0, "centrality": 0.2925, "betweenness": 0.0094, "abstract": "Non- and Deferred Prosecution Agreements (N/DPAs), are controversial because prosecutors, not judges or the legislature, are changing the governance of leading public corporations and entire industries. The evaluation of issues pertaining to the effect of N/DPAs on corporate governance in prior studies is largely based on anecdotal evidence and case studies. To analyze N/DPAs’ corporate governance implications and provide policy makers with guidance, the authors code all publicly available N/DPAs (N=257) from 1993 to 2013, identifying 215 governance categories and sub- categories. The authors find evidence that the execution of N/DPAs is associated with significant corporate governance changes. The study evaluates mandated corporate governance changes for entities that executed an N/DPA in the following general categories: (1) Business Changes, (2) Board Changes, (3) Senior Management, (4) Monitoring, (5) Cooperation, (6) Compliance Program, and (7) Waiver of Rights, supplemented by a more in depth analysis of the respective subcategories of governance changes. The authors also code and evaluate preemptive remedial measures, designed by corporations to preempt the execution of an N/DPA or corporate criminal indictment." }, { "id": "379ed5498a2b", "filename": "Kaal and Dell'Erba - 2017 - Initial Coin Offerings Emerging Practices, Risk Factors, and Red Flags.pdf", "title": "Initial Coin Offerings Emerging Practices, Risk Factors, and Red Flags", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "ico", "score": 0.3612 }, { "term": "icos", "score": 0.3508 }, { "term": "2017", "score": 0.2402 }, { "term": "03 11", "score": 0.2238 }, { "term": "03 11 2017", "score": 0.2238 }, { "term": "accessed 03", "score": 0.2098 }, { "term": "accessed 03 11", "score": 0.2098 }, { "term": "token", "score": 0.1735 }, { "term": "com abstract 3067615", "score": 0.1678 }, { "term": "abstract 3067615", "score": 0.1678 }, { "term": "3067615", "score": 0.1678 }, { "term": "11 2017", "score": 0.1656 }, { "term": "coin offerings", "score": 0.1269 }, { "term": "crypto", "score": 0.1214 }, { "term": "initial coin", "score": 0.1211 } ], "page_count": 22, "word_count": 6881, "reference_count": 0, "centrality": 0.5374, "betweenness": 0.011, "abstract": "Initial Coin Offerings (ICOs) are the most efficient means of financing entrepreneurial initiatives in the history of capital formation. ICOs minimize transaction cost and democratize finance while dis-intermediating banks. Yet, ICOs have increasingly involved cases of abuse, lacking quality, and governance concerns, precipitating calls for increased regulation. This article provides an overview of the evolving ICO market as it exists in November 2017 including the ICO process, roadmap, market conditions, crypto economics for ICO startups, core risk factors for investors, and red flags of ICO practices that require industry or regulatory improvements. Key Words: Initial Coin Offerings, Blockchain, Distributed Ledger Technology, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Innovation, Entrepreneur, Start-up, Big Data, Crytpo Economics, Diversification, Optimization, Efficiency, Governance, Bad Actors, Risk Factors, Regulation JEL Categories: K20, K23, K32, L43, L5, O31, O32 * © 2017 Wulf A. Kaal. Associate Professor, University of Saint Thomas School of Law and Director of the Private Investment Funds Institute, Minneapolis. The author is grateful for outstanding research assistance from librarians Nicole Catlin and Michael Robak. ** Post-Doctoral Fellow, Groningen Center for European Financial Services Law (University of Groningen), Research Associate, LabEx ReFi (ENA, ESCP, Paris I Panthéon-Sorbonne, CNAM). 0 Electronic copy available at: https://ssrn.com/abstract=3067615 Electronic copy available at: https://ssrn.com/abstract=3067615" }, { "id": "3aaceac02ce3", "filename": "Calcaterra and Kaal - 2021 - The Importance of History In Decentralization.pdf", "title": "Chapter ) - Historiography 1", "topic": { "cluster_id": 7, "topic_label": "DAO Architecture", "top_terms": [ "decentralized", "cid", "values", "chapter", "transcendental" ] }, "keywords": [ { "term": "cid", "score": 0.2836 }, { "term": "dao", "score": 0.2478 }, { "term": "decentralized", "score": 0.2102 }, { "term": "oracle", "score": 0.2029 }, { "term": "news", "score": 0.1873 }, { "term": "chapter", "score": 0.1754 }, { "term": "posts", "score": 0.1618 }, { "term": "media", "score": 0.1472 }, { "term": "power", "score": 0.1471 }, { "term": "culture", "score": 0.1468 }, { "term": "history", "score": 0.1426 }, { "term": "graph", "score": 0.1394 }, { "term": "oracles", "score": 0.136 }, { "term": "centralized", "score": 0.1353 }, { "term": "people", "score": 0.128 } ], "page_count": 16, "word_count": 6905, "reference_count": 1, "centrality": 0.1497, "betweenness": 0.0034, "abstract": "Chapter 9 emphasizes the role of history in the creation of decentralized organiza- tions. Access to historical records creates transparency and accountability and enables punishment and rewards in decentralized organizations which changes the motiva- tions of members from a focus on immediate rewards to the future, encouraging de- layed gratification and sacrifice for the good of the group. Historical review changes the game theoretical perspective from a single stage game, to a repeated game. This leads to more efficient cooperation instead of internal competition. Review helps cre- ate a decentralized history for decentralized organizations, which gives them momen- tum. History is the basis for making governance more effective. History brings clarity and stability. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Chapter 9. Historiography We are not makers of history. We are made by history. --Martin Luther King, Jr., Strength to Love (JKLM) Dual to cryptography, which is the process of writing secrets, historiography is the process of distilling and sharing information publicly. Historiography is the way you choose to write the past—how it’s recorded, what information is stressed as im- portant, how it is presented. Do we present history as a list of the important decisions kings and queens have made, or do we stress the social developments that provoked Electronic copy available at: https://ssrn.com/abstract=3782217" }, { "id": "3bc641edb392", "filename": "Calcaterra et al. - 2019 - Decentralized Underwriting.pdf", "title": "Decentralized Underwriting", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "tokens", "score": 0.4334 }, { "term": "dao", "score": 0.3209 }, { "term": "period", "score": 0.3145 }, { "term": "policies", "score": 0.2641 }, { "term": "underwriting", "score": 0.2441 }, { "term": "underwriters", "score": 0.1904 }, { "term": "insurance", "score": 0.1766 }, { "term": "encumbered", "score": 0.148 }, { "term": "value dao", "score": 0.1306 }, { "term": "expected", "score": 0.1189 }, { "term": "policy", "score": 0.1163 }, { "term": "number", "score": 0.1134 }, { "term": "payouts", "score": 0.1133 }, { "term": "number tokens", "score": 0.1108 }, { "term": "capital", "score": 0.106 } ], "page_count": 26, "word_count": 7294, "reference_count": 4, "centrality": 0.551, "betweenness": 0.0085, "abstract": "Insurance products can be optimized with emerging decentralized technology. We propose the use of cryptocurrencies as claims on future cash flows of an underwriting business operated by a Decentralized Autonomous Organization (DAO). The design of our DAO allows for decentralized collaboration (i) among DAO underwriters as well as (ii) between underwriters and consumers. In this decentralized system, the tokens essentially substitute for reputation. Financial distress or bankruptcy of an individual underwriter does not have to affect either customers or the DAO as the insurance contracts are backed by encumbered tokens. The structure of incentives embedded in the design has the potential to lower capital requirements and the related need for capital regulation. Key Words: Insurance, Underwriting, Finance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 * Professor of Mathematics, Metropolitan State University (Minneapolis, USA) ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA) *** Professor of Finance, Metropolitan State University (Minneapolis, USA) 0 Electronic copy available at: https://ssrn.com/abstract=3396542" }, { "id": "3c97a74f6667", "filename": "Kaal and Evans - 2019 - Blockchain-Based Securities Offerings.pdf", "title": "Blockchain-Based Securities Offerings", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "blockchain", "score": 0.452 }, { "term": "securities", "score": 0.4257 }, { "term": "securities offerings", "score": 0.3227 }, { "term": "based securities", "score": 0.2704 }, { "term": "offerings", "score": 0.2401 }, { "term": "blockchain based", "score": 0.2076 }, { "term": "offering", "score": 0.1756 }, { "term": "technology", "score": 0.1712 }, { "term": "trading", "score": 0.1368 }, { "term": "blockchain technology", "score": 0.1299 }, { "term": "sec", "score": 0.114 }, { "term": "settlement", "score": 0.1101 }, { "term": "bitcoin", "score": 0.0744 }, { "term": "stock", "score": 0.0739 }, { "term": "trade", "score": 0.0735 } ], "page_count": 30, "word_count": 9176, "reference_count": 0, "centrality": 0.4082, "betweenness": 0.0079, "abstract": "Blockchain technology has the potential to supplement the existing infrastructure for securities offerings. After examining the shortcomings of historical attempts, the article analyses the redeeming features of blockchain- based securities offerings including: lower overall cost structure, substantially reduced settlement cycle, counter-party risk and systemic risk reduction, enhanced transparency, among others. The authors examine the tradeoffs between opportunities and risks of blockchain-based securities offerings." }, { "id": "3db66116c7a0", "filename": "Kaal and Painter - 2012 - Forum Competition and Choice of Law Competition in Securities Law after Morrison v. National Austral.pdf", "title": "Forum Competition and Choice of Law", "topic": { "cluster_id": 5, "topic_label": "Securities Law", "top_terms": [ "securities", "fortis", "dutch", "class", "morrison" ] }, "keywords": [ { "term": "securities", "score": 0.2614 }, { "term": "fortis", "score": 0.2121 }, { "term": "dutch", "score": 0.2092 }, { "term": "class", "score": 0.1909 }, { "term": "morrison", "score": 0.1857 }, { "term": "plaintiffs", "score": 0.1458 }, { "term": "class actions", "score": 0.1371 }, { "term": "court", "score": 0.1355 }, { "term": "united", "score": 0.1283 }, { "term": "united states", "score": 0.127 }, { "term": "states", "score": 0.1268 }, { "term": "competition", "score": 0.1229 }, { "term": "choice law", "score": 0.1204 }, { "term": "eelleeccttrroonniicc ccooppyy aavvaaiillaabbllee", "score": 0.1167 }, { "term": "ccooppyy aavvaaiillaabbllee", "score": 0.1167 } ], "page_count": 74, "word_count": 31778, "reference_count": 0, "centrality": 0.1769, "betweenness": 0.0146, "abstract": "_id= 1831453. 13. See, e.g., In re Infineon Techs. AG Sec. Litig., No. C04-04156 JW, 2011 WL 7121006 (N.D. Cal. Mar. 17, 2011); In re Royal Bank of Scotland Grp. PLC Sec. Litig., 765 F. Supp. 2d 327 (S.D.N.Y. 2011); Elliott Assocs. v. Porsche Au- to. Holding SE, 759 F. Supp. 2d 469 (S.D.N.Y. 2010); Absolute Activist Value Master Fund Ltd. v. Homm, No. 09-CV-08862 (GBD), 2010 WL 5415885 (S.D.N.Y. Dec. 22, 2010); Plumbers’ Union Local No. 12 Pension Fund v. Swiss Reinsurance Co., 753 F. Supp. 2d 166 (S.D.N.Y. 2010); In re Société Générale Sec. Litig., No. 08-Civ.-2495, 2010 WL 3910286, (S.D.N.Y. Sept. 29, 2010); In re Alstom SA Sec. Litig., 741 F. Supp. 2d 469 (S.D.N.Y. 2010); Quail Cruises Ship Mgmt. Ltd. v. Agencia de Viagens CVC Tur Limitada, 732 F. Supp. 2d 1345 (S.D. Fla. 2010); Sgalambo v. McKenzie, 739 F. Supp. 2d 453 (S.D.N.Y. 2010); In re Banco Santander Sec.-Optimal Litig., 732 F. Supp. 2d 1305 (S.D. Fla. 2010); Cornwell v. Credit Suisse Grp., 729 F. Supp. 2d 620 (S.D.N.Y. 2010). 14. See Morrison, 130 S. Ct. at 2876. 15. The parameters of jurisdictional competition in U.S. and European substantive corporate law have been analyzed extensively by commentators. See, e.g., ERIN A. O’HARA & LARRY E. RIBSTEIN, THE LAW MARKET (2009); Christian Kirchner, Richard W. Painter & Wulf A. Kaal, Regulatory Competi- tion in EU Corporate Law After Inspire Art: Unbundling Delaware’s Product for Europe, 2 EUR. COMPANY & FIN. L. REV. 159 (2005) (discussing European law and to some extent securities law); Bruce H. Kobayashi & Larry E. Ribstein, Delaware for Small Fry: Jurisdictional Competition for Limited Lia- bility Companies, 2011 U. ILL. L. REV. 91 (2011); Larry E. Ribstein & Erin Ann O’Hara, Corporations and the Market for Law, 2008 U. ILL. L. REV. 661 (2008); Roberta Romano, The Need for Competition in International Securities Regula- tion, 2 THEORETICAL INQUIRIES L. 387 (2001); Roberta Romano, Empowering Investors: A Market Approach to Securities Regulation, 107 YALE L.J. 2359 (1998). The characteristics of competition among jurisdictions hoping to estab- EElleeccttrroonniicc ccooppyy aavvaaiillaabbllee aatt:: hhttttppss::////ssssrrnn..ccoomm//aabbssttrraacctt==22002299998833" }, { "id": "4008ed72ee00", "filename": "Kaal - 2016 - Confluence of Mutual and Private Funds.pdf", "title": "Confluence of Mutual and Private Funds", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "mutual", "score": 0.4319 }, { "term": "funds", "score": 0.3198 }, { "term": "hedge", "score": 0.3148 }, { "term": "fund", "score": 0.2752 }, { "term": "confluence", "score": 0.2367 }, { "term": "mutual funds", "score": 0.1965 }, { "term": "mutual fund", "score": 0.1911 }, { "term": "hedge funds", "score": 0.185 }, { "term": "hedge fund", "score": 0.1628 }, { "term": "mutual hedge", "score": 0.1535 }, { "term": "confluence mutual", "score": 0.131 }, { "term": "investment", "score": 0.1278 }, { "term": "retail alternative", "score": 0.1135 }, { "term": "retail", "score": 0.1128 }, { "term": "advisers", "score": 0.1047 } ], "page_count": 26, "word_count": 12886, "reference_count": 69, "centrality": 0.2381, "betweenness": 0.0026, "abstract": "The growth of the hedge fund industry and the proliferation of retail alternative funds in combination with the fundamental reshaping of the regulatory landscape for the hedge fund industry suggest that mutual funds are becoming more like hedge funds as a matter of investment strategy while hedge funds are becoming more like mutual funds as a matter of the regulatory framework. The chapter conceptualizes confluence as an emerging process and shows that confluence of mutual and hedge funds has implications for the evolution of the hedge fund industry, the governance of the mutual fund industry, the growth of the retail alternative fund market, and the structure of federal securities regulation." }, { "id": "44e1405bf089", "filename": "Kaal - 2025 - How can we Best Monitor AI Agents.pdf", "title": "How can we Best Monitor AI Agents?", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "ai", "score": 0.6287 }, { "term": "ai agents", "score": 0.3759 }, { "term": "agents", "score": 0.2123 }, { "term": "ai agent", "score": 0.2108 }, { "term": "monitoring", "score": 0.1621 }, { "term": "agent", "score": 0.1242 }, { "term": "blockchain", "score": 0.1184 }, { "term": "supra note", "score": 0.1148 }, { "term": "2025", "score": 0.1116 }, { "term": "supra", "score": 0.1091 }, { "term": "note", "score": 0.1025 }, { "term": "2024", "score": 0.093 }, { "term": "decentralized", "score": 0.0808 }, { "term": "et al", "score": 0.0803 }, { "term": "systems", "score": 0.0789 } ], "page_count": 21, "word_count": 10694, "reference_count": 88, "centrality": 0.5306, "betweenness": 0.0058, "abstract": "This paper examines the critical challenge of monitoring AI agent transaction execution within decentralized digital ecosystems, highlighting the deficiencies of traditional centralized AI-driven supervision, including opacity, bias, and systemic vulnerabilities. In response, it proposes a web3 Decentralized Autonomous Organization (DAO)-centric governance model that integrates blockchain technology, federated communication platforms, smart contracts, and Weighted Directed Acyclic Graphs (WDAGs) to deliver an alternative oversight framework. The proposed system ensures unparalleled transparency and accountability through blockchain’s immutable ledger, while decentralized decision-making via community consensus mitigates bias and single points of failure. Federated platforms enhance scalability and privacy by distributing data processing, and smart contracts automate real-time compliance, bolstered by WDAGs’ adaptive governance structure. Validation pools and reputation tokens further empower stakeholders, fostering a dynamic, inclusive monitoring process. By incorporating feedback loops, this model anticipates and adapts to AI evolution, overcoming scalability, interoperability, and regulatory gaps inherent in existing frameworks. This decentralized approach not only addresses current shortcomings but also establishes a forward-looking standard for secure, compliant, and efficient AI agent management in modern infrastructures. Keywords: Web3; Artificial Intelligence; Blockchain; Decentralization; Data Sovereignty; Privacy; Smart Contracts; Tokenization; Weighted Directed Acyclic Graph; Web3 Governance; DAO; 1. Introduction The rapid proliferation of artificial intelligence (AI) has ushered in a new era of autonomous digital agents tasked with executing complex transactions across diverse platforms. As these AI agents become increasingly integral to financial, logistical, and operational systems, effective monitoring of their transaction execution emerges as a critical challenge. Traditional, centralized AI-driven supervision methods are often hindered by limited transparency, susceptibility to bias, and the risk of single points of failure. Consequently, there is a growing imperative to explore alternative oversight frameworks to ensure security, compliance, and efficiency in managing AI agent transactions. In response to these challenges, this paper proposes a decentralized governance system that integrates web3 community software with federated communication platforms. This decentralized mechanism guarantees complete transparency and public accountability, thereby enabling independent verification of AI agent activities.2 Moreover, by leveraging the distributed nature of web3 technology, the proposed framework facilitates consensus-driven decision-making among a diverse stakeholder Future Internet 2025, 17, x https://doi.org/10.3390/xxxxx" }, { "id": "45ed24251315", "filename": "Henkel and Kaal - 2012 - Contingent Capital in European Union Bank Restructuring.pdf", "title": "Legal Studies Research Paper No. 2013-02", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "contingent capital", "score": 0.3809 }, { "term": "contingent", "score": 0.3197 }, { "term": "capital", "score": 0.2326 }, { "term": "european", "score": 0.1955 }, { "term": "id", "score": 0.1779 }, { "term": "reorganization", "score": 0.17 }, { "term": "bank", "score": 0.156 }, { "term": "supra", "score": 0.1546 }, { "term": "supra note", "score": 0.1536 }, { "term": "note", "score": 0.1492 }, { "term": "german", "score": 0.1229 }, { "term": "institution", "score": 0.1097 }, { "term": "union", "score": 0.1067 }, { "term": "trigger", "score": 0.1046 }, { "term": "2010", "score": 0.1045 } ], "page_count": 73, "word_count": 32759, "reference_count": 0, "centrality": 0.1633, "betweenness": 0.0026, "abstract": "This paper can be downloaded without charge from the Social Science Research Network Electronic Paper Collection: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2061166 Contingent Capital in European Union Bank Restructuring Christoph K. Henkel* and Wulf A. Kaal** Abstract: The uncoordinated reorganization and resolution of Systemically Important Financial Institutions in different countries pose many challenges. Contingent capital provides a viable alternative for the efficient restructurin" }, { "id": "46edd9b9d8d9", "filename": "Kaal - 2025 - Cryptographic Foundations and Interdisciplinary Dimensions of the Secure Proof of Stake (SPoS) Conse.pdf", "title": "Cryptographic Foundations and Interdisciplinary Dimensions of the Secure Proof of Stake (SPoS) Conse", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "spos", "score": 0.6044 }, { "term": "validator", "score": 0.2081 }, { "term": "version april", "score": 0.196 }, { "term": "https doi org", "score": 0.179 }, { "term": "https doi", "score": 0.179 }, { "term": "2025", "score": 0.1576 }, { "term": "reputation", "score": 0.1514 }, { "term": "cryptographic", "score": 0.1406 }, { "term": "doi org", "score": 0.1404 }, { "term": "doi org 10", "score": 0.1404 }, { "term": "org 10", "score": 0.1368 }, { "term": "doi", "score": 0.1241 }, { "term": "2021", "score": 0.1166 }, { "term": "et al", "score": 0.1134 }, { "term": "al", "score": 0.1109 } ], "page_count": 48, "word_count": 11239, "reference_count": 13, "centrality": 0.3333, "betweenness": 0.0007, "abstract": "The Secure Proof of Stake (SPoS) protocol represents a transformative advancement in blockchain consensus mechanisms, integrating a reputation-based verification system with traditional Proof of Stake (PoS) principles to address critical challenges in security, efficiency, and decentralization (Calcaterra and Kaal 2018). This study delineates the cryptographic infrastructure underpinning SPoS, encompassing elliptic curve digital signatures (ECDSA), SHA-256 and Keccak-256 hash functions, verifiable random functions (VRFs), and zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs), which collectively ensure robust validator authentication, data integrity, randomness, and privacy (Boneh and Shoup 2020; NIST 2015; Micali, Rabin, and Vadhan 1999; Groth 2016). It examines the transitional role of Hybrid Secure Proof of Stake (HSPoS) in facilitating a phased shift from stake-based to reputation-driven consensus, enhancing stability during deployment (Kaal 2021). Through formal cryptographic proofs, comparative analyses with contemporary PoS variants such as Ethereum’s Casper FFG and Cardano’s Ouroboros Praos, and interdisciplinary insights from game theory, behavioral economics, and distributed systems, this paper evaluates SPoS’s implications for Layer 1 blockchain scalability, governance, and academic research (Buterin and Griffith 2017; Kiayias et al. 2017; Fudenberg and Tirole 1991; Bowles 2016; Castro and Liskov 1999). The findings highlight SPoS’s potential to mitigate centralization and energy inefficiencies inherent in Proof of Work (PoW) systems while identifying vulnerabilities—such as Sybil attacks—that necessitate innovative countermeasures like microsecond-scale reputation updates (Srivastava, Damle, and Gujar 2024; Ward et al. 2021). This study offers a rigorous assessment of SPoS’s cryptographic foundations, practical applications, and future research directions, positioning it as a core framework for advancing decentralized consensus in the evolving blockchain landscape." }, { "id": "4d8750d8b664", "filename": "Kaal and Vermeulen - 2016 - Venture Capital as Dynamic Regulation of Disruptive Innovation.pdf", "title": "Venture Capital as Dynamic Regulation of Disruptive Innovation", "topic": { "cluster_id": 10, "topic_label": "Dynamic Regulation", "top_terms": [ "rulemaking", "innovation", "regulatory", "regulation", "dynamic regulation" ] }, "keywords": [ { "term": "disruptive innovation", "score": 0.2484 }, { "term": "disruptive", "score": 0.2409 }, { "term": "vc", "score": 0.2343 }, { "term": "rulemaking", "score": 0.223 }, { "term": "innovation", "score": 0.2167 }, { "term": "dynamic regulation disruptive", "score": 0.1795 }, { "term": "regulation disruptive innovation", "score": 0.1748 }, { "term": "venture capital dynamic", "score": 0.1728 }, { "term": "regulation disruptive", "score": 0.1659 }, { "term": "venture", "score": 0.1639 }, { "term": "draft date", "score": 0.1629 }, { "term": "capital dynamic regulation", "score": 0.1623 }, { "term": "00b", "score": 0.156 }, { "term": "regulatory", "score": 0.1495 }, { "term": "capital dynamic", "score": 0.1474 } ], "page_count": 49, "word_count": 19849, "reference_count": 0, "centrality": 0.2721, "betweenness": 0.0063, "abstract": "Disruptive innovation creates increasing regulatory challenges. Venture capital’s assessment of innovative products, businesses, and initiatives generates highly relevant institution- and industry-specific decentralized information on innovation trends. Using a dataset comprising over 75,000 venture capital deals with over 35,000 companies in the United States from 2005 to 2015, we show how venture capitalists’ innovation driven finance allocation can provide feedback on innovation trends and associated risks for rulemakers, optimize the timing of regulation, and support anticipatory rulemaking." }, { "id": "51bd12546623", "filename": "Calcaterra and Kaal - 2021 - Preface to.pdf", "title": "Preface: Two Perspectives 1", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "decentralization", "score": 0.4383 }, { "term": "decentralized", "score": 0.3825 }, { "term": "centralized", "score": 0.2815 }, { "term": "cid", "score": 0.2566 }, { "term": "centralization", "score": 0.1926 }, { "term": "natural", "score": 0.165 }, { "term": "figure", "score": 0.1324 }, { "term": "decentralized systems", "score": 0.1259 }, { "term": "wikipedia", "score": 0.1166 }, { "term": "systems", "score": 0.1104 }, { "term": "tion", "score": 0.1039 }, { "term": "network", "score": 0.0999 }, { "term": "power", "score": 0.0906 }, { "term": "copy available https", "score": 0.0898 }, { "term": "available https ssrn", "score": 0.089 } ], "page_count": 22, "word_count": 7711, "reference_count": 1, "centrality": 0.3605, "betweenness": 0.0019, "abstract": "This Preface summarizes the authors’ respective perspectives and precepts on the topic of decentralization that motivated the publication of their jointly authored book \"DECENTRALIZATION - TECHNOLOGY'S IMPACT ON ORGANIZATIONAL AND S OCIETAL STRUCTURE\", DEGRUYTER PUBLISHERS (2021). United by a deep passion for decentralized technology and its prospect and po- tential for the future of humanity, the authors provide a general overview of their unique motivations to collaborate on this book. The passion for decentralized socie- tal solutions is motivated by distinct yet supplemental perspectives on decentraliza- tion which have inspired the book. In this book we hope to share some of the insights we’ve gleaned from computer science and graph theory, from game theory and category theory, from history and international relations, from social science and economics, applied to our chaotically churning technologically revolutionary moment in the present global business envi- ronment and social atmosphere. The journey the authors have taken together is being taken every day organically by broader society. The clean and clear, logically coherent theory of hard science and mathematics needs to reconcile itself with the messy and confusing, logically incon- sistent hard realities of international issues of economics and law and social science. The precise tools of computer science are being used and abused by humans, with all their diverse range of motivations—from idealistic generosity to malicious selfishness, from group scapegoating to individual aspiration—together on the same platforms, on social media, in international forums, and in cities around the world as diverse communities are merging in new social permutations. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Electronic copy available at: https://ssrn.com/abstract=3782191" }, { "id": "532ef8fba69a", "filename": "Calcaterra and Kaal - 2021 - The Importance of Transcendental Unifying Values for Decentralization.pdf", "title": "Chapter )* – Transcendental Unifying Values", "topic": { "cluster_id": 7, "topic_label": "DAO Architecture", "top_terms": [ "decentralized", "cid", "values", "chapter", "transcendental" ] }, "keywords": [ { "term": "values", "score": 0.4505 }, { "term": "transcendental", "score": 0.3806 }, { "term": "unifying", "score": 0.2988 }, { "term": "cid", "score": 0.2235 }, { "term": "society", "score": 0.2102 }, { "term": "chapter", "score": 0.1407 }, { "term": "scientists", "score": 0.1236 }, { "term": "power", "score": 0.1212 }, { "term": "centralized", "score": 0.1042 }, { "term": "decentralized", "score": 0.1014 }, { "term": "personal", "score": 0.1002 }, { "term": "individual", "score": 0.0954 }, { "term": "hierarchy", "score": 0.0926 }, { "term": "essential", "score": 0.0909 }, { "term": "line", "score": 0.0909 } ], "page_count": 14, "word_count": 6308, "reference_count": 1, "centrality": 0.1497, "betweenness": 0.0033, "abstract": "Chapter )* highlights the need for the establishment and maintenance of unifying transcendental values of decentralized organizations. Unlike scientific laws, transcen- dental values cannot be stated formally and explicitly. The power of a decentralized organization derives from its ability to unite its members in service to the goal of their shared values. The strength a decentralized network is measured by summing the power of each member in their individual autonomy. Yet, their very autonomy re- quires the members to construct the unifying ideals for themselves. They are individ- ually responsible for the establishment, nourishment, and revitalization of those uni- fying ideals, continually. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Chapter =>. Transcendental Unifying Values “Without myth, however, every culture loses its healthy creative natural power: it is only a horizon encompassed with myth that rounds off to unity a social move- ment.” ― Friedrich Nietzsche, The Birth of Tragedy This final essential institution is the most important for long-term stability, and demands eternal reevaluation. Decentralized organizations require strong unifying values to remain coherent. Decentralized organizations live by their ideals. Electronic copy available at: https://ssrn.com/abstract=3782220" }, { "id": "557be806b34d", "filename": "Kaal - 2021 - How DAOs Optimize Open-Source Code Reviews and Create Open-Source Standards.pdf", "title": "How DAOs Optimize Open-Source Code Reviews and Create Open-Source Standards", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "cid", "score": 0.9265 }, { "term": "582", "score": 0.181 }, { "term": "code review", "score": 0.175 }, { "term": "code", "score": 0.119 }, { "term": "code reviews", "score": 0.0868 }, { "term": "360", "score": 0.0829 }, { "term": "crdao", "score": 0.0793 }, { "term": "418", "score": 0.0699 }, { "term": "279", "score": 0.0676 }, { "term": "349", "score": 0.0611 }, { "term": "398", "score": 0.0605 }, { "term": "review", "score": 0.0585 }, { "term": "316", "score": 0.0568 }, { "term": "406", "score": 0.055 }, { "term": "reviews", "score": 0.0532 } ], "page_count": 20, "word_count": 5794, "reference_count": 3, "centrality": 0.4354, "betweenness": 0.0028, "abstract": "The paper examines the existing shortcomings in the open-source code review process and how decentralized autonomous organizations can help optimize the code review process and quality. Optimized code reviews and code review processes, in turn, can help create open source software standards. The author evaluates the issuance of decentralized code reviews that are verified through a decentralized autonomous organization, the code review DAO (CRDAO). Key distinguishing features of the CRDAO include code review price discovery, lower prices for code reviews, increased speed of code reviews, community governance, full transparency, and, at a later stage, insurance for code reviews. Over time, the CRDAO code reviews can be combined with an underwriting service, through a code review underwriting DAO, where the CRDAO revenue from code reviews guarantees the consumer in certain circumstances that CRDAO code reviews are backed by assets. Key Words: Code Audit, Decentralized Autonomous Organization, Insurance, Underwriting, Finance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1 The Author is grateful to many members of the CRDAO who provided valuable freedback. The author would especially like to thank Josh Bykowski for outstanding research assistance. 1 Electronic copy available at: https://ssrn.com/abstract=3995709" }, { "id": "55a94550062c", "filename": "Calcaterra and Kaal - 2021 - The Importance of Reputation for the Evolution of Decentralization.pdf", "title": "Chapter ) – Reputation 1", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "reputation", "score": 0.662 }, { "term": "dao", "score": 0.1905 }, { "term": "cid", "score": 0.1695 }, { "term": "members", "score": 0.1672 }, { "term": "reputation tokens", "score": 0.1658 }, { "term": "chapter", "score": 0.1573 }, { "term": "tokens", "score": 0.152 }, { "term": "reputational", "score": 0.1233 }, { "term": "customers", "score": 0.1033 }, { "term": "sockpuppet", "score": 0.1007 }, { "term": "decentralized", "score": 0.0962 }, { "term": "power", "score": 0.0954 }, { "term": "worker", "score": 0.0939 }, { "term": "tion", "score": 0.0858 }, { "term": "workers", "score": 0.083 } ], "page_count": 16, "word_count": 6936, "reference_count": 1, "centrality": 0.2993, "betweenness": 0.0009, "abstract": "Chapter ) underscores the importance of reputation systems for the decentral- ized economy. Reputation is the proper incentive, instead of money, for motivating the most efficient cooperation and long-term stability in business. Existing Web@ smart contract solutions often incentivize people to devote their energy to taking ad- vantage of their business associates in anonymous environments. Through the prom- ise of future business opportunities, reputation changes the relationship from adver- sary to partner. Reputation changes the transaction from a single-stage zero-sum game into a repeated positive-sum game. The value that is created in the transaction is that the reputation of both parties is improved in a harmonious profitable transac- tion for the long-term. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Chapter ;. Reputation Reputation is the proper incentive, instead of money, for motivating the most ef- ficient cooperation and long-term stability in business. Markets are a necessarily chaotic environment that must permit an enormous va- riety of behaviors, where all parties need the freedom to invent new strategies for cooperation. Such freedom also creates limitless opportunities for preying on anyone with less information. Such information asymmetries create endless arbitrage oppor- tunities: renegotiating, leveraging an opponent’s sunken costs, pushing the limits of the law or breaking it outright. Markets lose their ability to create value and profit Electronic copy available at: https://ssrn.com/abstract=3782210" }, { "id": "55b8a33538b1", "filename": "Kaal - 2025 - Liquid Equity Rewards.pdf", "title": "Draft Version 4 - September 2025", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "ler", "score": 0.6531 }, { "term": "2025", "score": 0.3653 }, { "term": "voucher", "score": 0.2589 }, { "term": "2025 https", "score": 0.1889 }, { "term": "stablecoins", "score": 0.1653 }, { "term": "loyalty", "score": 0.1628 }, { "term": "rewards", "score": 0.1464 }, { "term": "2025 https www", "score": 0.1418 }, { "term": "metaverse", "score": 0.1201 }, { "term": "tokenized", "score": 0.1131 }, { "term": "2023", "score": 0.1005 }, { "term": "version september 2025", "score": 0.0936 }, { "term": "https www", "score": 0.0926 }, { "term": "nasdaq", "score": 0.0924 }, { "term": "voucher rewards", "score": 0.0905 } ], "page_count": 30, "word_count": 10907, "reference_count": 0, "centrality": 0.3469, "betweenness": 0.003, "abstract": "This article evaluates the prospects of Liquid Equity Rewards (LER), a voucher rewards mechanism linking capital formation and loyalty rewards through time-weighted, utility-only rewards for holders of equities or cryptoassets. Inspired by stablecoins, DeFi liquid staking, and NASDAQ’s tokenized stock framework, LER employs a bifurcated architecture: voucher-based rewards for brokerage-held equities and programmable, on-chain reward units for tokenized equities. The analysis synthesizes stablecoin adoption trends, compares LER to traditional loyalty and yield models, and highlights its scalability as an airdrop-like mechanism for dividend-like utilities. The author discusses LERs’ smart-contract design for non-speculative accruals, issuer voucher rewards incentives funded from marketing budgets, privacy-preserving verification pipelines, and a market opportunity exceeding $1 trillion amid capital reallocation to risk assets. LER reduces holder churn by 20-50%, boosts merchant throughput, and democratizes capital access, aligning with U.S. and EU regulations. Despite policy and implementation risks, LER offers a scalable, risk-lite path to programmable rewards across commerce and capital markets. Key Words: Blockchain, Tokenization, Loyalty Programs, Smart Contracts, Airdrops, Tokenized Stocks, Decentralized Finance, Financial Inclusion, Vouchers, TradFi, Equities JEL Categories: K20 (Regulation and Business Law), O31 (Innovation and Invention), O32 (Management of Technological Innovation), L86 (Information and Internet Services; Computer Software) 1 Professor of Law. The author is grateful for excellent research assistance from Klara Beinhorn, research assistant. 1 Draft Version 4 - September 2025" }, { "id": "562753df2551", "filename": "Kaal - 2017 - Blockchain Applications and Fee Structure Developments in Private Investment Funds.pdf", "title": "Blockchain Applications and Fee Structure Developments in", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "blockchain", "score": 0.358 }, { "term": "fund", "score": 0.3032 }, { "term": "private investment", "score": 0.2153 }, { "term": "hedge", "score": 0.2028 }, { "term": "lendingrobot", "score": 0.1973 }, { "term": "fees", "score": 0.1794 }, { "term": "fee", "score": 0.169 }, { "term": "private investment fund", "score": 0.1584 }, { "term": "blockchain technology", "score": 0.1564 }, { "term": "funds", "score": 0.156 }, { "term": "hedge fund", "score": 0.1508 }, { "term": "investment", "score": 0.1493 }, { "term": "fee structure", "score": 0.1478 }, { "term": "2016", "score": 0.1424 }, { "term": "investment fund", "score": 0.1375 } ], "page_count": 18, "word_count": 6818, "reference_count": 0, "centrality": 0.3605, "betweenness": 0.0087, "abstract": "The traditional 2/20 fee structure of private investment funds has come increasingly under pressure in the last ten years. Typical factors considered to explain the pressure on fees in the industry include the inadequate performance of the private investment fund industry, the ability of large investors to negotiate special terms, the withdrawal of private investment fund investments by large institutional clients and public retirement funds, and the consolidation of the industry, among several other market-driven factors. This article explores an additional factor that contributes to the pressure on fees, one that has largely been ignored by commentators: private fund advisers’ use of blockchain technology, artificial intelligence, and big data. Using a dataset of private investment fund advisers that utilize blockchain technology in their investment strategy or internal operations (N=[98]), this article shows that the fund advisers who use the new technology are often able to charge lower fees overall. The article explores the reasons for lower fees in those funds and examines possible future applications of the technology in the private investment fund industry. While the overall proportion of strategies of private investment funds that apply modern technologies, including blockchain technology, is still small, as the use of blockchain technology grows in the private investment fund industry, the pressure on the fee structure is likely to continue to grow. Key Words: Blockchain, Big Data, Meta Data, Data Scientist, Hedge Fund, Private Equity, Fees, Fee Structure JEL Categories: K20, K23, K32, L43, L5, O31, O32 *Associate Professor, University of St. Thomas School of Law (Minneapolis), United States of America. The author is grateful for outstanding support from librarian Ann Bateson. 1 Electronic copy available at: https://ssrn.com/abstract=2959730 Electronic copy available at: https://ssrn.com/abstract=2959730 Table of Content" }, { "id": "584f5a5c8f6a", "filename": "Kaal and Anderson - 2016 - Unconstrained Mutual Funds and Retail Investor Protection.pdf", "title": "Unconstrained Mutual Funds and Retail Investor Protection", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "mutual", "score": 0.3862 }, { "term": "fund", "score": 0.2874 }, { "term": "umfs", "score": 0.2815 }, { "term": "funds", "score": 0.2781 }, { "term": "mutual funds", "score": 0.2663 }, { "term": "mutual fund", "score": 0.2074 }, { "term": "umf", "score": 0.1787 }, { "term": "unconstrained", "score": 0.1564 }, { "term": "securities", "score": 0.1386 }, { "term": "abstract 2811729", "score": 0.1346 }, { "term": "com abstract 2811729", "score": 0.1346 }, { "term": "investment", "score": 0.1318 }, { "term": "perma cc", "score": 0.1297 }, { "term": "perma", "score": 0.1268 }, { "term": "2811729", "score": 0.1264 } ], "page_count": 55, "word_count": 19733, "reference_count": 0, "centrality": 0.1701, "betweenness": 0.0004, "abstract": "The proliferation of unconstrained mutual funds calls into question the effectiveness of retail investor protections under the Investment Company Act of 1940. Analyzing trading data and prospectuses of a hand-selected sample of all unconstrained mutual funds launched from 2010 through 2015 (N=449), the authors provide an overview of the evolution of unconstrained mutual funds, contrasting core characteristics with publicly available data pertaining to benchmarked mutual fund investment indices. This article demonstrates that unconstrained mutual funds share multiple investment strategy and risk attributes with fixed income hedge funds. The authors evaluate associated investor protection concerns." }, { "id": "591c1188e5f7", "filename": "Kaal - 2011 - Hedge Fund Regulation Via Basel III.pdf", "title": "!\"#$\"%&'(#%)\"$'*+,-.(%/-+%0+1\"*%", "topic": { "cluster_id": 11, "topic_label": "General Research", "top_terms": [ "90", "5b", "n0", "yz", "06" ] }, "keywords": [ { "term": "90", "score": 0.652 }, { "term": "5b", "score": 0.2896 }, { "term": "n0", "score": 0.2606 }, { "term": "yz", "score": 0.1927 }, { "term": "06", "score": 0.1873 }, { "term": "bd", "score": 0.1847 }, { "term": "90 90", "score": 0.1797 }, { "term": "08", "score": 0.1782 }, { "term": "aj", "score": 0.1766 }, { "term": "80", "score": 0.138 }, { "term": "89", "score": 0.116 }, { "term": "60", "score": 0.1134 }, { "term": "50", "score": 0.103 }, { "term": "55", "score": 0.1024 }, { "term": "0f", "score": 0.0851 } ], "page_count": 75, "word_count": 10470, "reference_count": 0, "centrality": 0.0068, "betweenness": 0.0, "abstract": "$ $ !\"#$\"%&'(#%)\"$'*+,-.(%/-+%0+1\"*% 222% $ !\"#$%&'%())#3$ $ $ $ 4056)476%" }, { "id": "5bd5119b9767", "filename": "Kaal - 2022 - Fair Token Launch.pdf", "title": "Fair Token Launch", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "fair launch", "score": 0.6384 }, { "term": "fair", "score": 0.4397 }, { "term": "launch", "score": 0.419 }, { "term": "token", "score": 0.2678 }, { "term": "launches", "score": 0.1873 }, { "term": "project", "score": 0.1002 }, { "term": "community", "score": 0.0914 }, { "term": "tokens", "score": 0.0876 }, { "term": "dao", "score": 0.0755 }, { "term": "liquidity", "score": 0.0641 }, { "term": "projects", "score": 0.0575 }, { "term": "ico", "score": 0.0537 }, { "term": "founders", "score": 0.0506 }, { "term": "copy available https", "score": 0.044 }, { "term": "digital asset", "score": 0.0439 } ], "page_count": 22, "word_count": 5308, "reference_count": 3, "centrality": 0.415, "betweenness": 0.0017, "abstract": "Fair Token Launches (Fair Launch) on average outperform most traditional digital asset projects. The comparative advantage of Fair Launches derives largely from their ability to remedy many of the perceived inequitable token launch practices of traditional digital asset projects. This article helps clarify the nomenclature by examining the commonalities of projects that use the label “Fair Launch.” On the technology and smart contracting side, fair launch platforms make it less likely for founders and whales to manipulate the token market they created and provide key protections for the token holders and community. Key Words: Fair Token Launch, Initial Coin Offerings, Blockchain, Distributed Ledger Technology, Artificial Intelligence, Machine Learning, Innovation, Entrepreneur, Start-up, Big Data, Crytpo Economics, Diversification, Optimization, Efficiency, Governance, Bad Actors, Risk Factors, Regulation JEL Categories: K20, K23, K32, L43, L5, O31, O32 * © 2022 Wulf A. Kaal. Professor, University of Saint Thomas School of Law. The author is grateful for outstanding research assistance from Josh Bykowski. 0 Electronic copy available at: https://ssrn.com/abstract=4015908" }, { "id": "5c5b5030d8bd", "filename": "Kaal et al. - 2016 - Did the Dodd-Frank Act Impact Private Fund Performance – Evidence from 2010 – 2015.pdf", "title": "Did the Dodd-Frank Act Impact Private Fund Performance – Evidence from 2010 – 2015", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "private fund", "score": 0.3336 }, { "term": "fund", "score": 0.3121 }, { "term": "advisers", "score": 0.2219 }, { "term": "bandwidth", "score": 0.2018 }, { "term": "2012", "score": 0.1728 }, { "term": "hedge", "score": 0.1681 }, { "term": "frank act", "score": 0.1621 }, { "term": "dodd frank act", "score": 0.1621 }, { "term": "dodd frank", "score": 0.1594 }, { "term": "dodd", "score": 0.1555 }, { "term": "funds", "score": 0.1489 }, { "term": "rd", "score": 0.1484 }, { "term": "aum", "score": 0.1483 }, { "term": "frank", "score": 0.142 }, { "term": "fund advisers", "score": 0.134 } ], "page_count": 38, "word_count": 11326, "reference_count": 34, "centrality": 0.2245, "betweenness": 0.0014, "abstract": "Title IV of the Dodd-Frank Act of 2010 introduced the most significant regulatory change in the history of the private fund industry. Attempts to rescind Title IV via the Investment Advisers Modernization Act of 2016 illustrate the highly politically sensitive nature of Dodd-Frank Act registration and disclosure obligations for the private fund industry. To analyze the effect of Title IV on the private fund industry, we use five years of private fund performance data with over 7,000 reporting private funds in a regression discontinuity design. Using multiple hand-selected control groups and several iterations of broad and narrow RD designs and robustness checks, our findings are consistent and do not support the private fund industry’s claims that increased supervision and disclosure mandated in the Dodd-Frank Act have a negative effect on private fund earnings." }, { "id": "5df2a93d8aa2", "filename": "Kaal - 2017 - Blockchain Technology and Race in Corporate America.pdf", "title": "Blockchain Technology and Race in Corporate America", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "blockchain", "score": 0.443 }, { "term": "dao", "score": 0.2727 }, { "term": "minorities", "score": 0.256 }, { "term": "2016", "score": 0.2469 }, { "term": "corporate", "score": 0.1816 }, { "term": "smart", "score": 0.1602 }, { "term": "technology", "score": 0.1438 }, { "term": "blockchain technology", "score": 0.1362 }, { "term": "smart contracts", "score": 0.1318 }, { "term": "copy available https", "score": 0.1211 }, { "term": "available https ssrn", "score": 0.1201 }, { "term": "2016 https", "score": 0.1196 }, { "term": "copy available", "score": 0.119 }, { "term": "electronic copy", "score": 0.119 }, { "term": "electronic copy available", "score": 0.119 } ], "page_count": 26, "word_count": 10353, "reference_count": 0, "centrality": 0.449, "betweenness": 0.0021, "abstract": "Blockchain technology provides anonymous and secure transactional guarantees through democratized trust and disintermediation. Minorities and disenfranchised communities can benefit from the evolving technology and its anti-discrimination features. The article evaluates how blockchain technology helps minimize discriminatory practices in corporate America and creates a more equal society. Key Words: Blockchain, Distributed Ledger Technology, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Entrepreneurship, Innovation, Big Data, Efficiency, Race, Community Development, Minorities, Discrimination, Optimization, Equality JEL Categories: K20, K23, K32, L43, L5, O31, O32 *Associate Professor, University of St. Thomas School of Law (Minneapolis). The author is grateful for outstanding support from librarians Nicole Kinn and student research assistant Samuel Evans. The author would also like to thank Troy Wilkinson (principal at the Fountainheart Fund in Los Angeles) for helpful suggestions on the underlying causes. A more detailed evaluation of the issues outlined in this paper may follow. 1 Electronic copy available at: https://ssrn.com/abstract=3071378 Electronic copy available at: https://ssrn.com/abstract=3071378 Table of Content" }, { "id": "5fa27c808a0b", "filename": "Kaal - 2021 - How Decentralized Systems Can Upgrade AI.pdf", "title": "How Decentralized Systems Can Upgrade AI", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "decentralized", "score": 0.2608 }, { "term": "decentralized systems", "score": 0.2456 }, { "term": "algorithmic", "score": 0.232 }, { "term": "algorithmic automation", "score": 0.2176 }, { "term": "systems", "score": 0.2071 }, { "term": "socialism", "score": 0.199 }, { "term": "human", "score": 0.1988 }, { "term": "accessed june 2020", "score": 0.1781 }, { "term": "june 2020", "score": 0.1715 }, { "term": "accessed june", "score": 0.1715 }, { "term": "capitalism", "score": 0.1589 }, { "term": "accessed", "score": 0.1438 }, { "term": "2020", "score": 0.1308 }, { "term": "voting", "score": 0.1287 }, { "term": "society", "score": 0.1222 } ], "page_count": 26, "word_count": 7799, "reference_count": 21, "centrality": 0.5034, "betweenness": 0.0128, "abstract": "Decentralized systems enhance future algorithmic applications. Centralized algorithmic automation is a very powerful tool for humanity. It fulfills increasingly important roles in society for the betterment of humanity. It optimizes human interaction, outputs, and performance and can elevate most functions of technology- enhanced designs in society. At the same time, the conveniences and benefits that derive from centralized algorithmic automation bring with them risks to humanity that cannot be fully quantified. Decentralized systems can help counteract the downsides and threats of algorithmic automation and thereby enhance the long- term benefits of technological solutions for humanity. Key Words: Decentralization, AI, Algorithm, Future, New World, Digital Assets, Decentralized Finance, Blockchain, Start-up, Decentralized Commerce, Emerging Technology, Token Models, Incentive Design, Tokens, Distributed Ledger Technology, Decentralized Infrastructure JEL Categories: K20, K23, K32, L43, L5, O31, O32 ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). The author is gratefull for ongoing discussions about decentralized technology solutions with Craig Calcaterra. The author is also grateful for outstanding research assistance from Hayley Howe and research librarian assistance from Nicole Kinn. The author did not receive any form of financial incentive for authoring this article. 1 Electronic copy available at: https://ssrn.com/abstract=3808867 HOW DECENTRALIZED SYSTEMS CAN UPGRADE AI" }, { "id": "6218c56cb1aa", "filename": "Kaal - 2009 - Hedge Fund Valuation Retailization, Regulation, and Investor Suitability.pdf", "title": "Hedge Fund Valuation - Retailization, Regulation and Investor Suitability", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "hedge", "score": 0.4292 }, { "term": "hedge fund", "score": 0.291 }, { "term": "fund", "score": 0.2395 }, { "term": "valuation", "score": 0.2235 }, { "term": "hedge funds", "score": 0.179 }, { "term": "funds", "score": 0.1536 }, { "term": "investors", "score": 0.1501 }, { "term": "retailization", "score": 0.148 }, { "term": "suitability", "score": 0.1324 }, { "term": "investor suitability", "score": 0.1225 }, { "term": "retail investors", "score": 0.1151 }, { "term": "hedge fund valuation", "score": 0.1117 }, { "term": "investor", "score": 0.1089 }, { "term": "fund valuation", "score": 0.1064 }, { "term": "hhttttppss ssssrrnn", "score": 0.1011 } ], "page_count": 57, "word_count": 21730, "reference_count": 27, "centrality": 0.2245, "betweenness": 0.0024, "abstract": "I. Introduction Valuation issues could become the next \"black eye\" for the hedge fund industry.2 The credit crunch and the global financial crisis have underscored that the valuation of complex financial products and hard-to-value assets is one of the most pressing issues affecting confidence in the financial industry today.3 Pricing and valuation errors do happen despite efforts to ensure fair pricing at all times.4 As discussed below, hedge funds cannot always ensure accurate valuation.5 This " }, { "id": "623365c5280d", "filename": "Kaal - 2021 - A Decentralized Autonomous Organization (DAO) of DAOs.pdf", "title": "A Decentralized Autonomous Organization (DAO) of DAOs", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "dao", "score": 0.641 }, { "term": "dao daos", "score": 0.5159 }, { "term": "daos", "score": 0.352 }, { "term": "reputation", "score": 0.1253 }, { "term": "fungible", "score": 0.0925 }, { "term": "members", "score": 0.0835 }, { "term": "decentralized", "score": 0.0793 }, { "term": "design", "score": 0.0779 }, { "term": "designs", "score": 0.0774 }, { "term": "token", "score": 0.0707 }, { "term": "dao governance", "score": 0.067 }, { "term": "non fungible", "score": 0.0617 }, { "term": "wrapper", "score": 0.058 }, { "term": "legal wrapper", "score": 0.058 }, { "term": "tokens", "score": 0.0578 } ], "page_count": 28, "word_count": 10272, "reference_count": 0, "centrality": 0.517, "betweenness": 0.003, "abstract": "A well-governed DAO of DAOs can provide technological and community solutions for the evolution of the DAO ecosystem. Through its technological infrastructure designs, a DAO of DAOs can create, improve and expand well-functioning and well-governed networks of DAOs. That DAO infrastructure, in turn, improves most of the applications and uses of digital assets and decentralized commerce for the greater good of society. This article examines the core features of a possible DAO of DAOs design, its ability to expand the DAO ecosystem, and the design’s uses in business and society. Key Words: DAO of DAOs, Decentralized Autonomous Organization, Decentralized Governance, Legal Design, Digital Assets, Decentralized Finance, Blockchain, Start-up, Decentralized Commerce, Emerging Technology, Token Models, Incentive Design, Tokens, Distributed Ledger Technology, Decentralized Infrastructure, Reputation Staking JEL Categories: K20, K23, K32, L43, L5, O31, O32 1 Professor, University of St. Thomas School of law. The author is grateful for ongoing discussions about DAO solutions with Craig Calcaterra. Many features of the DAO of DAO concept discussed herein are based on co-authored articles with Craig Calcaterra. The author is also very grateful for the many comments and suggestions he received from the decentralized community. It would not be feasible to name all who helped with comments or suggestions on community calls since the year 2020 but the author is particularly grateful for support received in the context of this draft manuscript from Timothy Messer, Hayley Howe, Timothy Lewis, Marco Aniballi, and Matt Coolidge. 1 Electronic copy available at: https://ssrn.com/abstract=3799320" }, { "id": "626b662bc95c", "filename": "Kirchner et al. - 2004 - Regulatory Competition in EU Corporate Law after Inspire Art Unbundling Delaware's Product for Euro.pdf", "title": "Regulatory Competition in EU Corporate Law after Inspire Art Unbundling Delaware's Product for Euro", "topic": { "cluster_id": 0, "topic_label": "Securities Law", "top_terms": [ "securities", "member state", "corporate", "governmental contracts", "rulemaking" ] }, "keywords": [ { "term": "member state", "score": 0.4313 }, { "term": "corporate law", "score": 0.3266 }, { "term": "arbitration", "score": 0.2815 }, { "term": "member", "score": 0.2696 }, { "term": "corporate", "score": 0.2618 }, { "term": "delaware", "score": 0.2549 }, { "term": "adjudication", "score": 0.2386 }, { "term": "member states", "score": 0.1943 }, { "term": "state", "score": 0.17 }, { "term": "state incorporation", "score": 0.1395 }, { "term": "courts", "score": 0.1351 }, { "term": "incorporation", "score": 0.1285 }, { "term": "states", "score": 0.1128 }, { "term": "charters", "score": 0.1063 }, { "term": "jurisdiction", "score": 0.106 } ], "page_count": 50, "word_count": 29959, "reference_count": 0, "centrality": 0.1633, "betweenness": 0.0089, "abstract": "This paper can be downloaded without charge from the Social Science Research Network Electronic Paper Collection: http://ssrn.com/abstract=617681 1 Regulatory Competition in EU Corporate Law after Inspire Art: Unbundling Delaware’s Product for Europe Abschied vom Verbundprodukt Delaware Prof. Dr. iur. Dr. rer. pol. Christian Kirchner, LL.M. (Harvard) (Humboldt University – Berlin)" }, { "id": "6460c8288256", "filename": "Calcaterra and Kaal - 2021 - Eight Institutions for the Evolution of Decentralization.pdf", "title": "Chapter ) – Eight Institutions 1", "topic": { "cluster_id": 7, "topic_label": "DAO Architecture", "top_terms": [ "decentralized", "cid", "values", "chapter", "transcendental" ] }, "keywords": [ { "term": "decentralized", "score": 0.3803 }, { "term": "economy", "score": 0.271 }, { "term": "decentralized economy", "score": 0.2358 }, { "term": "chapter", "score": 0.1851 }, { "term": "cid", "score": 0.1663 }, { "term": "decentralized organizations", "score": 0.133 }, { "term": "cid chapter", "score": 0.121 }, { "term": "organization", "score": 0.1072 }, { "term": "power", "score": 0.1019 }, { "term": "revolution", "score": 0.1014 }, { "term": "underwriting", "score": 0.0998 }, { "term": "copy available https", "score": 0.0984 }, { "term": "storage", "score": 0.0979 }, { "term": "available https ssrn", "score": 0.0976 }, { "term": "electronic copy available", "score": 0.0967 } ], "page_count": 6, "word_count": 1652, "reference_count": 1, "centrality": 0.2109, "betweenness": 0.0069, "abstract": "Chapter ) discusses the core problems Web4 companies need to solve in order to achieve progress for the decentralized economy. The electrical revolution took more than a century to come to fruition, because of the need to develop uniform standards for production, transmission, storage, and utilization. Similarly, the Web4 vision of up- grading the entire global economy requires core infrastructure products to be created simultaneously, and be integrated with each other. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Chapter 9. Eight institutions Before the vision of a radically decentralized economy can be achieved, engineers and architects need to solve eight big problems that business solved centuries ago. All eight problems need to be solved simultaneously, and the solutions need to be inte- grated with each other. This is similar to the electrical revolution that took more than a century to come to fruition, because of the need to develop uniform standards for production, trans- mission, storage, and utilization. But in the FGGHs the electrification of cities made the revolution seem to miraculously appear from nowhere. The Web4 vision of revolu- tionizing the entire global economy makes the electrical revolution seem trivial. Electronic copy available at: https://ssrn.com/abstract=3782205" }, { "id": "647c18dd0885", "filename": "Kaal - 2026 - Institutional Requirements for Sovereign Local Agent Runtimes.pdf", "title": "Institutional Requirements for Sovereign Local Agent Runtimes", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "local", "score": 0.2158 }, { "term": "execution", "score": 0.1845 }, { "term": "institutional", "score": 0.1836 }, { "term": "class", "score": 0.1741 }, { "term": "sovereign", "score": 0.1741 }, { "term": "property", "score": 0.1741 }, { "term": "outcome", "score": 0.1741 }, { "term": "six", "score": 0.1741 }, { "term": "impossible", "score": 0.1741 }, { "term": "payment", "score": 0.1636 }, { "term": "produces", "score": 0.1636 }, { "term": "produce", "score": 0.1555 }, { "term": "records", "score": 0.1555 }, { "term": "tools", "score": 0.1341 }, { "term": "requirements", "score": 0.1268 } ], "page_count": 27, "word_count": 10879, "reference_count": 0, "centrality": 0.4286, "betweenness": 0.0059, "abstract": "A new class of system has arrived. Models, agents, tools, and data resources now compose on the user's own machine, hold state locally, and settle payment for outward work machine-to-machine. This Article calls that class the sovereign local agent runtime and argues that its central achievement is narrower than its advocates claim. Sovereignty is a custody property. Accountability is an institutional property. The first does not produce the second. Relocating execution to the user's device answers the question of who holds the data. It does not answer who acted, under what authority, over which data, toward what outcome, and with what recourse when the outcome is wrong. Those are institutional questions, and architecture alone does not answer them. The Article specifies six institutional requirements that any adequate coordination layer for such runtimes must satisfy, derives each from two decades of research on decentralized governance, reputation, and dynamic regulation, and applies them to the shipping public implementation of Mosaic, read from source, as a worked example. That reading produces eight findings, of which the most consequential is that cross-component provenance is not merely incomplete but structurally impossible in the Chronicle: records are per-tool and carry no workflow, causal, or principal identifier, so a workflow spanning three tools produces three logs that cannot be joined, while the built-in, protocol-server, and payment execution paths produce no records at all. The Article closes with six minimal-delta engineering contributions, each expressed against the existing design and none requiring a new subsystem. The first two convert cross-component correlation from impossible to feasible and make local alteration detectable. Full satisfaction of the provenance requirement additionally demands coverage of every execution path and evidence a third party can verify. Conflict-of-interest disclosure. The author is simultaneously the theorist, the" }, { "id": "68d3e6df312c", "filename": "Kaal - 2024 - Quantum Economy and the Future of Work.pdf", "title": "Quantum Economy and the Future of Work", "topic": { "cluster_id": 6, "topic_label": "Institutional Design", "top_terms": [ "quantum", "july2024", "entanglement", "quantum technologies", "quantum economy" ] }, "keywords": [ { "term": "quantum", "score": 0.8034 }, { "term": "july2024", "score": 0.1921 }, { "term": "entanglement", "score": 0.1546 }, { "term": "quantum technologies", "score": 0.1482 }, { "term": "quantum economy", "score": 0.129 }, { "term": "workforce", "score": 0.1073 }, { "term": "quantum mechanics", "score": 0.107 }, { "term": "quantum computing", "score": 0.1042 }, { "term": "job", "score": 0.1036 }, { "term": "technologies", "score": 0.0998 }, { "term": "ai", "score": 0.0905 }, { "term": "future work", "score": 0.089 }, { "term": "technological", "score": 0.0859 }, { "term": "automation", "score": 0.0778 }, { "term": "jobs", "score": 0.0753 } ], "page_count": 70, "word_count": 18649, "reference_count": 0, "centrality": 0.034, "betweenness": 0.0134, "abstract": "The advent of quantumtechnologiesintroducedaparadigmshiftineconomictheoryandpracticeandthe beginning of the quantum economy. This new framework, grounded in principles of quantum mechanics such as superposition and entanglement, offers a more comprehensive understanding of complex economic phenomena and aims to address the limitations of traditional economic theories. Quantum computing, in particular, stands at the forefront, offering unparalleled computational power capable of solving intricate economic models, optimizing resource allocation, and enhancing decision-making processes across varioussectors.Asthesetechnologiesadvance,theirimplicationsforthefutureofwork are profound, impacting job dynamics, skill requirements, and organizational structures. Quantum computing may automateroutinetasksandoptimizecomplexprocesses,potentiallydisplacingcertainjob roles. However, it also creates new opportunities in emerging fields such as quantum programming, algorithm design, and quantum cryptography, requiring highly specialized knowledge and skills. This necessitates a significant shift in the skills and learning landscape, emphasizing higher-order cognitive skills,softskills,interdisciplinaryknowledge,andcontinuouslearning. The integration of quantum technologies will transform organizational structures and processes, with decentralized autonomous organizations (DAOs)andsmartcontractsdemocratizingdecision-makingand introducing new models of compensation. The impact of quantum technologies will vary across regions and industries, influenced by infrastructure, education, and policy. Developing nations may face unique challenges and opportunities, necessitating tailored approaches to workforce adaptation and technological integration. The shift towards a quantum economy also raises significant ethical and societal considerations, including disparities in access to quantum resources and the potential for increased inequality. By fostering interdisciplinary collaboration, continuous learning, and inclusive dynamic and evolutionary decentralizedgovernancemodels,theglobalworkforcecaneffectivelyadaptto the transformative impact of quantum technologies, ensuring a future of equitable and sustained economicgrowth. Key Words: Quantum Technology, Quantum Economy, Future of Work, Compensation Systems, DAO, Hybrid Models, Data Governance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology,Blockchain,DistributedLedgerTechnology JELCategories:K20,K23,K32,L43,L5,O31,O32 1ProfessorofLaw.TheauthorisgratefulforexcellentresearchassistancebyJackPalmerandresearch librarianNicoleKinn. 1 Version9.0-July2024" }, { "id": "6963df831130", "filename": "Kaal - 2025 - The AI-to-AI Economy and the Collapse of Anthropocentric Economic Theory.pdf", "title": "The AI-to-AI Economy and the Collapse of Anthropocentric Economic Theory", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "2025", "score": 0.393 }, { "term": "december 2025", "score": 0.2726 }, { "term": "version december", "score": 0.2668 }, { "term": "ai", "score": 0.1989 }, { "term": "economics", "score": 0.1774 }, { "term": "williamson", "score": 0.1721 }, { "term": "human", "score": 0.1707 }, { "term": "agents", "score": 0.1673 }, { "term": "rationality", "score": 0.1672 }, { "term": "institutional", "score": 0.1512 }, { "term": "scarcity", "score": 0.1419 }, { "term": "bounded", "score": 0.1394 }, { "term": "economy", "score": 0.1379 }, { "term": "dynamic regulation", "score": 0.1351 }, { "term": "bounded rationality", "score": 0.1208 } ], "page_count": 46, "word_count": 13048, "reference_count": 6, "centrality": 0.2993, "betweenness": 0.007, "abstract": "The AI-to-AI (AI2AI) economy—in which autonomous artificial agents negotiate, produce, allocate, and recursively reinvest value in self-sustaining loops structurally independent of human labor and consumption—represents the deepest rupture in economic ontology since the marginalist revolution (Shuo Sun et al. 2025; Luciano Floridi 2023). Enabled by unbounded computational rationality, instantaneous informational symmetry, zero-latency coordination, and asymptotically zero marginal costs of digital replication, AI2AI systems instantiate continuous, recursive Walrasian equilibria while simultaneously eliminating the five foundational constraints that have defined economic science for over a century. This article demonstrates that the core theoretical assumptions of every major economic tradition collapse in the agentic substrate: ● Scarcity, the ontological bedrock of neoclassical economics since Robbins (1935), dissolves into computational post-scarcity. ● Bounded rationality, the behavioral premise of Simon (1957) and Williamson’s transaction-cost governance, is supplanted by hyper-rational machine optimization. ● Informational asymmetry, the market-failure logic of Akerlof (1970) and Stiglitz (2000), becomes architecturally impossible in fully auditable agent networks. ● Static and stochastic equilibrium constructs (Walras 1896; Arrow & Debreu 1954) yield to perpetual, latency-free recursive equilibria without auctioneers or persistence of disequilibria. ● Transaction-cost-driven institutional safeguards (Coase 1937; Williamson 1985; North 1990) approach the Coasean Singularity in which frictions tend to zero, rendering firms, contracts, and most formal institutions vestigial (Wulf A. Kaal 2024a). 1 Professor of Law. University of St. Thomas School of Law, Minneapolis, Minnesota. 1" }, { "id": "6c100ed87523", "filename": "Kaal - 2024 - AI Governance.pdf", "title": "AI Governance", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "ai", "score": 0.7633 }, { "term": "ai governance", "score": 0.1928 }, { "term": "ai systems", "score": 0.1748 }, { "term": "com abstract 4796714", "score": 0.1319 }, { "term": "abstract 4796714", "score": 0.1319 }, { "term": "4796714", "score": 0.1238 }, { "term": "wdag", "score": 0.1236 }, { "term": "model", "score": 0.1191 }, { "term": "ethical", "score": 0.1153 }, { "term": "2024", "score": 0.0991 }, { "term": "ai development", "score": 0.0973 }, { "term": "systems", "score": 0.0929 }, { "term": "federated", "score": 0.0861 }, { "term": "decentralized", "score": 0.0854 }, { "term": "learning", "score": 0.0786 } ], "page_count": 54, "word_count": 23583, "reference_count": 0, "centrality": 0.4354, "betweenness": 0.0024, "abstract": "In the rapidly evolving landscape of artificial intelligence (AI), governance frameworks are increasingly pivotal. As AI technologies become more complex and integral to various sectors, the mechanisms to oversee and regulate these systems must evolve correspondingly. Traditional governance approaches often rely on static, predefined rules that may not adapt quickly enough to the pace of AI development or the nuanced challenges it presents. These conventional methods, largely reactive or fixed to ex-post solutions, are proving insufficient for the dynamic nature of AI technologies. The proposed AI governance system integrates decentralized web3 community governance and federated communication platforms, forming a sophisticated framework for dynamic, anticipatory, and participatory oversight of AI development. Key components include a federated forum platform structured as a Weighted Directed Acyclic Graph (WDAG), and specialized smart contracts for managing tasks and validation. This setup not only facilitates real-time consensus-building and decision-making via web3 community governance but also supports a scalable, transparent communication network. Validation Pools and Reputation tokens within this framework play crucial roles in maintaining an updated and responsive governance system, reflecting the collective decisions and ethical standards of the community. This system's effectiveness is demonstrated through applications like medical diagnosis AI and autonomous driving AI, where each development stage is captured as vertices in the WDAG, documenting key compliance and operational metrics. Directed edges in this graph link these stages to relevant legal and ethical standards, with assigned weights emphasizing areas critical for compliance and safety. The dynamic nature of WDAG allows for continuous updates and integration of new regulations or ethical guidelines, ensuring AI governance remains current with technological and societal shifts. This model thus ensures AI systems are not only technologically advanced but also ethically aligned and legally compliant, effectively balancing innovation with responsible governance. Key Words: Artificial Intelligence, AI Models, Governance, Decentralized Autonomous Organization, WDAG, Hybrid Models, Data Governance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1 Professor of Law. The author is grateful for excellent research assistance by Jack Palmer and research librarian Adam Bent. 1 Electronic copy available at: https://ssrn.com/abstract=4796714 Version 9.0 - May 2024" }, { "id": "6c1cfff713cf", "filename": "Kaal and Malay - 2013 - The Role of Corporate Integrity Agreements in the Expansion of Fiduciary Duties.pdf", "title": "The Role of Corporate Integrity Agreements in the Expansion of Fiduciary Duties", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "cias", "score": 0.4933 }, { "term": "cia", "score": 0.4033 }, { "term": "fiduciary", "score": 0.285 }, { "term": "fiduciary duties", "score": 0.2444 }, { "term": "duties", "score": 0.2247 }, { "term": "pfizer", "score": 0.1973 }, { "term": "corporate integrity", "score": 0.1955 }, { "term": "directors", "score": 0.1604 }, { "term": "health care", "score": 0.1598 }, { "term": "corporate integrity agreements", "score": 0.1459 }, { "term": "integrity agreements", "score": 0.1459 }, { "term": "compliance", "score": 0.1427 }, { "term": "care", "score": 0.1397 }, { "term": "health", "score": 0.1329 }, { "term": "corporate", "score": 0.1284 } ], "page_count": 20, "word_count": 10018, "reference_count": 0, "centrality": 0.2109, "betweenness": 0.0048, "abstract": "Academics have long debated the purpose and scope of fiduciary duties. The academic debate has mostly ignored the role of Corporate Integrity Agreements (CIAs). CIAs can blur the line between the law and aspirational governance. As a contractual arrangement, the terms of CIAs between health care companies and the government require heightened compliance duties. Unlike regular contractual arrangements, however, the enforcement of CIAs goes beyond contractual remedies. The breach of a CIA can be treated like a breach of law for purposes of the duty of care. Courts are increasingly recognizing the role of CIAs and their implications for directors’ fiduciary duties. A prominent recent decision, In re Pfizer, illustrates the role of CIAs in the evolution of fiduciary duties. Although the court in Pfizer did not conclude that the CIAs actually created fiduciary duties, the court opined that the CIAs “imposed affirmative obligations on Pfizer's board that went well beyond the basic fiduciary duties required by Delaware law.” A broader reading of this phraseology suggests that fiduciary duties could perhaps be augmented by contractual arrangements such as CIAs. It seems possible that future courts, in following this reasoning, may interpret CIAs as expanding the basic legal duty of care. 2 CORPORATE INTEGRITY AGREEMENTS" }, { "id": "717a665c0399", "filename": "Kaal et al. - 2014 - Did the Dodd-Frank Act Impact Hedge Fund Performance.pdf", "title": "Did the Dodd-Frank Act Impact Hedge Fund Performance", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "hedge", "score": 0.3976 }, { "term": "hedge fund", "score": 0.3233 }, { "term": "fund", "score": 0.2403 }, { "term": "2012", "score": 0.2001 }, { "term": "advisers", "score": 0.1679 }, { "term": "aum", "score": 0.167 }, { "term": "dodd frank", "score": 0.1473 }, { "term": "frank act", "score": 0.1465 }, { "term": "dodd frank act", "score": 0.1465 }, { "term": "dodd", "score": 0.1438 }, { "term": "funds", "score": 0.1324 }, { "term": "frank", "score": 0.1312 }, { "term": "hedge funds", "score": 0.1199 }, { "term": "registration", "score": 0.1181 }, { "term": "discontinuity", "score": 0.1121 } ], "page_count": 33, "word_count": 11752, "reference_count": 20, "centrality": 0.1769, "betweenness": 0.0005, "abstract": "Title IV of the Dodd-Frank Act introduced the most significant regulatory change in the history of the hedge fund industry. Contrary to the hedge fund industry’s claims that increased supervision and disclosure would affect their profitability, we find statistical evidence of a positive effect of the requirements introduced by the Dodd- Frank Act on hedge fund performance. The registration requirement for hedge fund advisers under the Dodd-Frank Act creates a discontinuity in hedge fund returns at the registration effective date, March 30, 2012. Strategic actions by fund advisers lead to a strong increase in the discontinuity around the AUM registration threshold." }, { "id": "73edbcb0a6e2", "filename": "Kaal - 2024 - Quantum Economy and Tokenomics.pdf", "title": "Quantum Economy and Tokenomics", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "quantum", "score": 0.8041 }, { "term": "quantum economics", "score": 0.3472 }, { "term": "entanglement", "score": 0.2165 }, { "term": "version10", "score": 0.1562 }, { "term": "july2024", "score": 0.1562 }, { "term": "economics", "score": 0.1355 }, { "term": "tokenomics", "score": 0.1296 }, { "term": "quantum mechanics", "score": 0.0992 }, { "term": "economic systems", "score": 0.07 }, { "term": "superposition", "score": 0.0645 }, { "term": "mechanics", "score": 0.0591 }, { "term": "classical", "score": 0.0584 }, { "term": "probabilistic", "score": 0.0554 }, { "term": "quantum economy", "score": 0.0546 }, { "term": "financial entanglement", "score": 0.0546 } ], "page_count": 63, "word_count": 13501, "reference_count": 0, "centrality": 0.4762, "betweenness": 0.0131, "abstract": "The integration of tokenomics with quantum economics offers a framework for understanding and managing complex economic systems. Tokenomics provides practical mechanisms for operationalizing the abstract concepts of quantum economics, thereby enhancing its applicability and utility. This synthesis not only advances the field of quantum economics but also promotes the growth and sustainability of decentralized digital economies. By leveraging decentralized technologies and blockchain principles, tokenomics addresses theoretical and methodological challenges in quantum economics, such as the probabilistic nature of economic outcomes and the interconnectedness of decentralized networks. The application of smart contracts, decentralized finance (DeFi) protocols, and participatory governance models within tokenomics provides tangible tools for implementing and validating quantum economic theories. As research in this interdisciplinary area continues to evolve, it holds the potential to transform economic theory and practice, informing the development of more effective policies and strategies for economic stability and growth. The alignment of tokenomics with quantum economics allows for a deeper understanding of market behaviors, price dynamics, and economic fluctuations, providing a more nuanced analysis of decentralized networks. This integration enhances financial sovereignty and protects against asset confiscation and currency devaluation, offering individuals in unstable financial regions a reliable and secure way to manage their wealth. The synthesis of tokenomics and quantum economics represents a significant advancement in economic thought, offering new perspectives and solutions for addressing the complexities of modern economic systems. Key Words: Quantum Technology, Quantum Economy, Tokenmics, VOW Ecosystem, Hybrid Models, Data Governance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1ProfessorofLaw.TheauthorisgratefulforexcellentresearchassistancebyJackPalmerandresearch librarianAdamBent.TheauthorisalsogratefulforthefeedbackfrommanymembersoftheVOW ecosystem. 1 Version10.0-July2024" }, { "id": "75e8fdfd174b", "filename": "Kaal - 2016 - Dynamic Regulation for Innovation.pdf", "title": "Dynamic Regulation for Innovation", "topic": { "cluster_id": 10, "topic_label": "Dynamic Regulation", "top_terms": [ "rulemaking", "innovation", "regulatory", "regulation", "dynamic regulation" ] }, "keywords": [ { "term": "innovation", "score": 0.4108 }, { "term": "regulation innovation", "score": 0.3006 }, { "term": "regulation", "score": 0.2989 }, { "term": "rulemaking", "score": 0.2826 }, { "term": "regulatory", "score": 0.2357 }, { "term": "dynamic regulation", "score": 0.2306 }, { "term": "dynamic", "score": 0.2124 }, { "term": "dynamic regulation innovation", "score": 0.1945 }, { "term": "technology", "score": 0.1376 }, { "term": "disruptive", "score": 0.1316 }, { "term": "dynamic regulatory", "score": 0.1269 }, { "term": "2011", "score": 0.1136 }, { "term": "technologies", "score": 0.1106 }, { "term": "disruptive innovation", "score": 0.1103 }, { "term": "rulemakers", "score": 0.1087 } ], "page_count": 30, "word_count": 7174, "reference_count": 0, "centrality": 0.1088, "betweenness": 0.001, "abstract": "A large consensus in the literature suggests that law has a diminishing capacity to react to innovation. After summarizing the commonalities between the law and technology literature and the literature on dynamic regulation in the analysis of the so- called pacing problem between regulation and innovation, the chapter evaluates proposed remedies for the pacing problem and distinguishes dynamic regulatory remedies." }, { "id": "7964c14402ce", "filename": "Kaal and Dell_Erba - 2017 - Initial Coin Offerings Emerging Practices, Risk Factors, and Red Flags.pdf", "title": "INITIAL COIN OFFERINGS", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "ico", "score": 0.3612 }, { "term": "icos", "score": 0.3508 }, { "term": "2017", "score": 0.2402 }, { "term": "03 11", "score": 0.2238 }, { "term": "03 11 2017", "score": 0.2238 }, { "term": "accessed 03", "score": 0.2098 }, { "term": "accessed 03 11", "score": 0.2098 }, { "term": "token", "score": 0.1735 }, { "term": "com abstract 3067615", "score": 0.1678 }, { "term": "abstract 3067615", "score": 0.1678 }, { "term": "3067615", "score": 0.1678 }, { "term": "11 2017", "score": 0.1656 }, { "term": "coin offerings", "score": 0.1269 }, { "term": "crypto", "score": 0.1214 }, { "term": "initial coin", "score": 0.1211 } ], "page_count": 22, "word_count": 6881, "reference_count": 0, "centrality": 0.5374, "betweenness": 0.011, "abstract": "Initial Coin Offerings (ICOs) are the most efficient means of financing entrepreneurial initiatives in the history of capital formation. ICOs minimize transaction cost and democratize finance while dis-intermediating banks. Yet, ICOs have increasingly involved cases of abuse, lacking quality, and governance concerns, precipitating calls for increased regulation. This article provides an overview of the evolving ICO market as it exists in November 2017 including the ICO process, roadmap, market conditions, crypto economics for ICO startups, core risk factors for investors, and red flags of ICO practices that require industry or regulatory improvements. Key Words: Initial Coin Offerings, Blockchain, Distributed Ledger Technology, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Innovation, Entrepreneur, Start-up, Big Data, Crytpo Economics, Diversification, Optimization, Efficiency, Governance, Bad Actors, Risk Factors, Regulation JEL Categories: K20, K23, K32, L43, L5, O31, O32 * © 2017 Wulf A. Kaal. Associate Professor, University of Saint Thomas School of Law and Director of the Private Investment Funds Institute, Minneapolis. The author is grateful for outstanding research assistance from librarians Nicole Catlin and Michael Robak. ** Post-Doctoral Fellow, Groningen Center for European Financial Services Law (University of Groningen), Research Associate, LabEx ReFi (ENA, ESCP, Paris I Panthéon-Sorbonne, CNAM). 0 Electronic copy available at: https://ssrn.com/abstract=3067615 Electronic copy available at: https://ssrn.com/abstract=3067615" }, { "id": "7991977e6b1e", "filename": "Kaal - 2024 - Code Review DAO.pdf", "title": "Code Review DAO", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "crdao", "score": 0.4753 }, { "term": "code review", "score": 0.4179 }, { "term": "micro task", "score": 0.3148 }, { "term": "code", "score": 0.2814 }, { "term": "micro", "score": 0.26 }, { "term": "code reviews", "score": 0.188 }, { "term": "task", "score": 0.1477 }, { "term": "task work", "score": 0.1449 }, { "term": "micro task work", "score": 0.1449 }, { "term": "review", "score": 0.1347 }, { "term": "smart", "score": 0.1204 }, { "term": "reviews", "score": 0.1174 }, { "term": "workers", "score": 0.1106 }, { "term": "micro tasks", "score": 0.0836 }, { "term": "bug", "score": 0.0828 } ], "page_count": 34, "word_count": 7162, "reference_count": 0, "centrality": 0.4558, "betweenness": 0.003, "abstract": "The open-source code review process is upgraded and scaled through the use of decentralized community governance. The code review decentralized autonomous organization (CRDAO) distinguishes itself from legacy system code review competitors through industry-leading code review price discovery, increased speed, community audit, competitive pricing, WEB3 transparency, and accountability. The key distinguishing feature of the CRDAO code review process is its unparalleled ability to apply community code review audits. Key Words: Code Audit, Quality Controls, Code Assurances, Decentralized Autonomous Organization, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1 Professor of Law, University of St. Thomas School of Law. The Author is grateful to many members of the open source community who provided valuable feedback. 1 Electronic copy available at: https://ssrn.com/abstract=4734750" }, { "id": "7b47dec97439", "filename": "Calcaterra and Kaal - 2021 - Decentralized Finance (DeFi).pdf", "title": "Chapter ) – Finance 1", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "cid", "score": 0.306 }, { "term": "tokens", "score": 0.2684 }, { "term": "decentralized", "score": 0.2582 }, { "term": "reputation", "score": 0.2251 }, { "term": "dao", "score": 0.2098 }, { "term": "insurance", "score": 0.1568 }, { "term": "chapter", "score": 0.1419 }, { "term": "underwriting", "score": 0.1402 }, { "term": "economy", "score": 0.1241 }, { "term": "stablecoin", "score": 0.1221 }, { "term": "decentralized economy", "score": 0.1205 }, { "term": "m9", "score": 0.1175 }, { "term": "money", "score": 0.1154 }, { "term": "cryptocurrency", "score": 0.1074 }, { "term": "reputation tokens", "score": 0.1036 } ], "page_count": 27, "word_count": 11842, "reference_count": 1, "centrality": 0.6259, "betweenness": 0.0309, "abstract": "Chapter ) discusses the role of finance in the evolution of decentralized systems. In the 9:9:s, the market for DeFi has started to take off but fully decentralized DeFi solutions still have a long way to go. Because the decentralized economy is still missing the major institutions that society relies on to conduct profitable business, especially a secure and meaningful system for evaluating reputation for anonymous suprana- tional partners, and an effective and dynamic governance system, it will not be able to fully proliferate until these systems have established themselves. Once these core decentralized infrastructure products become available, the decentralized economy becomes viable. Key indicators include cryptocurrency being used in authentic trans- actions such as insurance and equities in broad segments of industry and the tokeni- zation of commodities and properties in a mainstream environment. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Chapter 6. Finance “Finance is not merely about making money. It’s about achieving our deep goals and protecting the fruits of our labor. It’s about stewardship and, therefore, about achieving the good society.” – Robert J. Shiller Decentralized finance (deFi) has been the goal of blockchains since their inception with Bitcoin. The goal of WebT is to provide intuitive UIs for complex financial tools, unleashing the economic potential of humanity—similar to how Web 9.: tapped into the power of decentralized information. The major financial tools that the WebT Electronic copy available at: https://ssrn.com/abstract=3782216" }, { "id": "7de71edc4f11", "filename": "Kaal - 2022 - DAO Fallacies.pdf", "title": "DAO Fallacies", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "dao", "score": 0.6369 }, { "term": "daos", "score": 0.3994 }, { "term": "earn", "score": 0.2056 }, { "term": "2022", "score": 0.1341 }, { "term": "work earn", "score": 0.1332 }, { "term": "2021", "score": 0.1019 }, { "term": "decentralized", "score": 0.0987 }, { "term": "copy available https", "score": 0.0928 }, { "term": "available https ssrn", "score": 0.092 }, { "term": "electronic copy available", "score": 0.0912 }, { "term": "electronic copy", "score": 0.0912 }, { "term": "copy available", "score": 0.0912 }, { "term": "copy", "score": 0.0889 }, { "term": "available https", "score": 0.0874 }, { "term": "https ssrn com", "score": 0.0859 } ], "page_count": 20, "word_count": 4371, "reference_count": 0, "centrality": 0.381, "betweenness": 0.001, "abstract": "DAO myths are a natural by-product of technological evolution. The paper debunks the top five DAO myths and explores the top five DAO benefits and use cases. Key Words: Decentralized Autonomous Organization, Digital Assets, Valuation, Blockchain, Myth, Uses, Distributed Ledger Technology, Emerging Technology JEL Categories: K20, K23, K32, L43, L5, O31, O3 * (c) 2022 Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). 1 Electronic copy available at: https://ssrn.com/abstract=4067783 DAO FALLACIES" }, { "id": "7e12446b9eae", "filename": "Kaal - 2017 - Private Investment Fund Regulation - Theory and Empirical Evidence from 1998 to 2016.pdf", "title": "Private Investment Fund Regulation - Theory and Empirical Evidence from 1998 to 2016", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "fund", "score": 0.3145 }, { "term": "private investment", "score": 0.288 }, { "term": "investment", "score": 0.2255 }, { "term": "funds", "score": 0.2194 }, { "term": "private investment fund", "score": 0.2157 }, { "term": "private fund", "score": 0.2117 }, { "term": "investment fund", "score": 0.1876 }, { "term": "advisers", "score": 0.1603 }, { "term": "dodd frank", "score": 0.1574 }, { "term": "pf", "score": 0.1565 }, { "term": "dodd", "score": 0.155 }, { "term": "form pf", "score": 0.1546 }, { "term": "frank act", "score": 0.1478 }, { "term": "dodd frank act", "score": 0.1463 }, { "term": "frank", "score": 0.1415 } ], "page_count": 51, "word_count": 17709, "reference_count": 0, "centrality": 0.5578, "betweenness": 0.0267, "abstract": "Private investment fund regulation in the United States evolved substantially in the last two decades. Tracing the main regulatory developments, this article summarizes the author’s theoretical and empirical findings on the effects of changes in private investment fund regulation from 2006 to 2016, assessing the regulatory implications of the failure of Long–Term Capital Management L.P. in 1998 and the Dodd-Frank Act in 2010. More recent trends include the emerging confluence of private investment funds and mutual funds as well as private investment funds’ use of blockchain technology and smart contracts. Key Words: Private Investment Funds, Hedge Funds, Private Equity, Long Term Capital Management, Regulation, Dodd-Frank Act, PFIARA, Compliance, Blockchain, Distributed Ledger Technology, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Meta Models, Innovation, Entrepreneur, Startup, Big Data, Diversification, Optimization, Efficiency JEL Categories: K20, K23, K32, L43, L5, O31, O32 * © 2017 Wulf A. Kaal. Associate Professor, University of Saint Thomas School of Law and Director of the Private Investment Funds Institute, Minneapolis. The author sincerely thanks the many industry representatives who provided comments and feedback on initial drafts of this article. He is also grateful for outstanding research assistance from librarian Ann Bateson. 0 Electronic copy available at: https://ssrn.com/abstract=2998097 Electronic copy available at: https://ssrn.com/abstract=2998097" }, { "id": "7e7413ad2514", "filename": "Kaal et al. - 2022 - Digital Asset Valuation.pdf", "title": "Digital Asset Valuation", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "greenhouse", "score": 0.3769 }, { "term": "asset valuation", "score": 0.3486 }, { "term": "valuation", "score": 0.3486 }, { "term": "asset", "score": 0.2703 }, { "term": "polychain", "score": 0.2353 }, { "term": "digital asset", "score": 0.232 }, { "term": "digital", "score": 0.2316 }, { "term": "supra", "score": 0.1665 }, { "term": "marketability", "score": 0.1605 }, { "term": "supra note", "score": 0.1486 }, { "term": "assets", "score": 0.1375 }, { "term": "note", "score": 0.1309 }, { "term": "fair value", "score": 0.1304 }, { "term": "pwc", "score": 0.1219 }, { "term": "digital assets", "score": 0.1062 } ], "page_count": 35, "word_count": 11616, "reference_count": 0, "centrality": 0.4286, "betweenness": 0.0031, "abstract": "Existing valuation metrics for legacy assets only limitedly apply in the context of digital assets. The valuation infrastructure in the current legal, accounting, technology, and back-office framework in combination with the immaturity of the digital asset market create an environment of digital asset valuation uncertainty. This article evaluates the existing asset valuation methods and their limited application to digital assets before contrasting new and evolving digital asset valuation trends. Key Words: Digital Assets, Valuation, Blockchain, Distributed Ledger Technology, Emerging Technology JEL Categories: K20, K23, K32, L43, L5, O31, O3 * (c) 2022 Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). * (c) 2019 Experienced Associate, PricewaterhouseCoopers. * (c) 2021 Compliance Director, Emerging Technology Association. 1 Electronic copy available at: https://ssrn.com/abstract=4033886 DIGITAL ASSET VALUATION" }, { "id": "808865325975", "filename": "Kaal - 2020 - Decentralized Autonomous Organizations – Internal Governance and External Legal Design.pdf", "title": "Decentralized Autonomous Organizations – Internal Governance and External Legal Design", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "dao", "score": 0.4179 }, { "term": "devdao", "score": 0.3892 }, { "term": "makerdao", "score": 0.1908 }, { "term": "supra note", "score": 0.1789 }, { "term": "mme switzerland token", "score": 0.1721 }, { "term": "token summit", "score": 0.1721 }, { "term": "switzerland token", "score": 0.1721 }, { "term": "switzerland token summit", "score": 0.1721 }, { "term": "mme", "score": 0.1721 }, { "term": "mme switzerland", "score": 0.1721 }, { "term": "supra", "score": 0.1686 }, { "term": "token summit supra", "score": 0.1668 }, { "term": "note", "score": 0.1608 }, { "term": "summit supra note", "score": 0.1566 }, { "term": "summit supra", "score": 0.1566 } ], "page_count": 71, "word_count": 21292, "reference_count": 0, "centrality": 0.5714, "betweenness": 0.0096, "abstract": "Most of the applications and uses of digital assets are improved and expanded with well-functioning and well-governed DAOs. The article evaluates the technical and internal governance solutions promulgated by DAO projects. Particular emphasis is placed on the duality of feedback effects between internal DOA governance and external DAO legal designs. Key Words: Decentralized Autonomous Organization, Governance, Legal Design, Digital Assets, Decentralized Finance, Blockchain, Start-up, Decentralized Commerce, Emerging Technology, Token Models, Incentive Design, Tokens, Distributed Ledger Technology, Decentralized Infrastructure, Reputation Staking JEL Categories: K20, K23, K32, L43, L5, O31, O32 ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). The author is on the board of directors of the Emerging Technology Association in Zug, Switzerland. The author is also a founding member of the DevDAO. The author is gratefull for ongoing discussions about DAO solutions with Craig Calcaterra. The author is also grateful for outstanding research assistance from Hayley Howe and research librarian assistance from Nicole Kinn. The author did not receive any form of financial incentive for authoring this article. 1 Electronic copy available at: https://ssrn.com/abstract=3652481 DAO LEGAL CONCEPTS" }, { "id": "818e5417df51", "filename": "Fenwick et al. - 2017 - Legal Education in the Blockchain Revolution.pdf", "title": "Legal Education in the Blockchain Revolution", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "blockchain", "score": 0.3877 }, { "term": "2016", "score": 0.2648 }, { "term": "lawyers", "score": 0.2468 }, { "term": "legal tech", "score": 0.2441 }, { "term": "legal education", "score": 0.1915 }, { "term": "2939127", "score": 0.1888 }, { "term": "technology", "score": 0.1825 }, { "term": "smart", "score": 0.1544 }, { "term": "http", "score": 0.1448 }, { "term": "smart contracts", "score": 0.137 }, { "term": "contracts", "score": 0.1361 }, { "term": "2017", "score": 0.13 }, { "term": "http www", "score": 0.1212 }, { "term": "law firms", "score": 0.1211 }, { "term": "blockchain technology", "score": 0.1147 } ], "page_count": 39, "word_count": 12686, "reference_count": 0, "centrality": 0.4218, "betweenness": 0.0314, "abstract": "The legal profession is one of the most disrupted sectors of the consulting industry today. The rise of Legal Tech, artificial intelligence, big data, machine learning, and, most importantly, blockchain technology is changing the practice of law. The sharing economy and platform companies challenge many of the traditional assumptions, doctrines, and concepts of law and governance, requiring litigators, judges, and regulators to adapt. Lawyers need to be equipped with the necessary skillsets to operate effectively in the new world of disruptive innovation in law. A more creative and innovative approach to educating lawyers for the 21st century is needed." }, { "id": "82a122606c71", "filename": "Calcaterra and Kaal - 2021 - Introduction to Decentralization.pdf", "title": "Introduction to Decentralization 1", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "organization", "score": 0.3378 }, { "term": "centralized", "score": 0.2818 }, { "term": "cid", "score": 0.2534 }, { "term": "decentralized", "score": 0.2479 }, { "term": "hierarchy", "score": 0.2215 }, { "term": "power", "score": 0.2102 }, { "term": "centralized organization", "score": 0.1546 }, { "term": "chaos", "score": 0.1538 }, { "term": "decentralized organizations", "score": 0.1467 }, { "term": "organizations", "score": 0.1341 }, { "term": "corruption", "score": 0.1276 }, { "term": "members", "score": 0.1184 }, { "term": "decentralization", "score": 0.1137 }, { "term": "ized", "score": 0.1104 }, { "term": "decentralized organization", "score": 0.1067 } ], "page_count": 12, "word_count": 4576, "reference_count": 1, "centrality": 0.3878, "betweenness": 0.0022, "abstract": "This is an introduction to decentralization. The authors distinguish centralized from decentralized organizations and show their respective uses and limitations in differ- ent contexts. A centralized hierarchy is the most efficient architecture for solving the particular limited problem it was designed to address. But centralization is not the optimal or- ganizational structure under highly dynamic conditions. Rigid power allocation means the organization can’t easily reorganize to adapt to unanticipated challenges from the outside. Clear rules lead to internal corruption when the letter of the law overrides the spirit of the law and members compete for power. New sources of in- formation are ignored since they don’t have existing lines to the decision-making au- thorities. Information at the edge is lost. The authors show that advances in technology have given decentralized systems the efficiency they have lacked in previous eras and that allowed them to be outcom- peted by centralized systems. Decentralized organizations thrive under the types of changing circumstances that break centralized organizations. Information at the edge is naturally incorporated and communicated so the system can adapt to exter- nal threats. Decentralized organizations are more stable. Decentralized organizations do not crash in response to new external problems like crystalline hierarchies do. De- centralizing allows an organization to adapt to change and chaos. Decentralization, while it may be seen as wastefully redundant, gives every member greater autono- mous power. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Electronic copy available at: https://ssrn.com/abstract=3782192" }, { "id": "8764e3f21d13", "filename": "Kaal - 2016 - The Post Dodd-Frank Act Evolution of the Private Fund Industry Comparative Evidence from 2012 and 2.pdf", "title": "The Post Dodd-Frank Act Evolution of the Private", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "private fund", "score": 0.2485 }, { "term": "fund", "score": 0.2292 }, { "term": "dodd", "score": 0.2219 }, { "term": "abstract 2739479", "score": 0.2134 }, { "term": "com abstract 2739479", "score": 0.2134 }, { "term": "2015", "score": 0.201 }, { "term": "2739479", "score": 0.2003 }, { "term": "dodd frank", "score": 0.19 }, { "term": "advisers", "score": 0.1822 }, { "term": "frank", "score": 0.174 }, { "term": "frank act", "score": 0.1727 }, { "term": "dodd frank act", "score": 0.1727 }, { "term": "supranote33", "score": 0.16 }, { "term": "fund industry", "score": 0.1574 }, { "term": "private fund industry", "score": 0.1475 } ], "page_count": 56, "word_count": 12439, "reference_count": 31, "centrality": 0.1973, "betweenness": 0.0016, "abstract": "The Post Dodd-Frank Act Evolution of the Private Fund Industry: Comparative Evidence from 2012 and 2015 By Wulf A. Kaal* Thiscomparativesurveystudyexaminestheprivatefundindustry’sreactionsandadjust- mentstoarapidlyevolvingregulatoryframework,threeyearsafterthefirstapplicationof mandatory registration and disclosure rules for private fund advisers under the Dodd- Frank Act. Using two datasets (2012: N = 94; 2015: N = 69) for a population of 1267 registeredinvestmentadviserstoaddanhistoricaltimese" }, { "id": "89ff38111830", "filename": "Kaal - 2019 - Blockchain Solutions for Agency Problems in Corporate Governance.pdf", "title": "Blockchain Solutions for Agency Problems in Corporate Governance", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "corporate governance", "score": 0.3689 }, { "term": "corporate", "score": 0.3364 }, { "term": "blockchain", "score": 0.312 }, { "term": "agency", "score": 0.3015 }, { "term": "blockchain solutions", "score": 0.2218 }, { "term": "dao", "score": 0.2075 }, { "term": "agency problems", "score": 0.1673 }, { "term": "agents", "score": 0.1589 }, { "term": "shareholder", "score": 0.1515 }, { "term": "version docx", "score": 0.1374 }, { "term": "agent", "score": 0.1314 }, { "term": "principals", "score": 0.1301 }, { "term": "docx", "score": 0.1225 }, { "term": "technology", "score": 0.1141 }, { "term": "principal", "score": 0.1134 } ], "page_count": 26, "word_count": 6059, "reference_count": 0, "centrality": 0.5714, "betweenness": 0.0089, "abstract": "As a foundational technology, blockchain technology creates the infrastructure for decentralized networked governance that, over time, creates the environment that enables the removal of internal and external monitoring mechanisms previously necessitated by agency problems in corporate governance. Blockchain technology facilitates a substantial increase in efficiency in the agency relationship and lowers agency costs in orders of magnitude. Key Words: Agency, Principal-Agent, Blockchain, Technology, Agency Cost, Monitoring, Corporate Governance, Blockchain, Distributed Ledger Technology, Emerging Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 * (c) 2019 Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). 1 Electronic copy available at: https://ssrn.com/abstract=3373393 BLOCKCHAIN SOLUTIONS FOR CORPORATE GOVERNANCE - VERSION 8.DOCX" }, { "id": "8abbcc6b9ea5", "filename": "Kaal - 2026 - Empirical Evaluation of the Agentic Reputation Substrate Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort.pdf", "title": "Empirical Evaluation of the Agentic Reputation Substrate: Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "empirical", "score": 0.2362 }, { "term": "deployment", "score": 0.2261 }, { "term": "part", "score": 0.1989 }, { "term": "measured", "score": 0.1869 }, { "term": "record", "score": 0.1604 }, { "term": "registered", "score": 0.1604 }, { "term": "field", "score": 0.1604 }, { "term": "stakes", "score": 0.1604 }, { "term": "reputation substrate", "score": 0.1604 }, { "term": "conditions", "score": 0.153 }, { "term": "agentic reputation", "score": 0.1508 }, { "term": "substrate", "score": 0.1432 }, { "term": "papers", "score": 0.1319 }, { "term": "agentic", "score": 0.1319 }, { "term": "rather", "score": 0.1274 } ], "page_count": 41, "word_count": 15115, "reference_count": 0, "centrality": 0.1837, "betweenness": 0.0038, "abstract": "=6819121) and to the design-theoretic anchor of the arc’s empirical papers (Paper 2, Architecture of the Agentic Reputation Substrate). This paper and Paper 4 are released as working papers only, without journal submission, under the arc’s publication protocol. The paper is sourced from the empirical apparatus specified in the Empirical Design Document for the nine-paper arc (v1.1 with Stage 4 addendum) and from a controlled non-public research record; the apparatus, hypotheses, metrics, correction procedure, and analysis plan were fixed and preserved before the relevant condition ran, and the empirical leg is governed by the arc’s pre-registration protocol (OI-6). Nature and scope of claims . This is an empirical paper in the mechanism-design tradition. The claims advanced here concern the measured behavior of the controlled research apparatus described at the public methodological level in Part IV, under the conditions stated explicitly in the text; the deliberation-cycle values reported here are final per the sealed judgment of record, the incentive-layer battery of Part VI remains registered forward work with no value reported, and where an interpretation is conjectured rather than measured, it is labeled as such. The paper does not constitute a prediction of, or representation about, the performance of any commercial deployment, token offering, or instantiation of the mechanism in field conditions. Any party considering reliance on this work for investment, deployment, or other non-academic purposes should conduct independent verification under its own conditions. Part VII enumerates the specific reasons why field deployment may diverge from anything measured here, including adversarial agent populations not represented in the cohort, network effects and population dynamics at deployment scale, real economic stakes rather than modeled stakes, regulatory and jurisdictional constraints, heterogeneous task distributions, integration with external systems, oracles," }, { "id": "8b7efdf0148a", "filename": "Kaal - 2025 - Artificial Intelligence The Final Frontier.pdf", "title": "Artificial Intelligence The Final Frontier", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "ai", "score": 0.6025 }, { "term": "xx", "score": 0.36 }, { "term": "annotation", "score": 0.2648 }, { "term": "2025", "score": 0.1919 }, { "term": "scale ai", "score": 0.1328 }, { "term": "ethical", "score": 0.1214 }, { "term": "quality", "score": 0.1136 }, { "term": "2024", "score": 0.1128 }, { "term": "contributors", "score": 0.1113 }, { "term": "visited jan", "score": 0.1026 }, { "term": "decentralized", "score": 0.0998 }, { "term": "training", "score": 0.092 }, { "term": "datasets", "score": 0.0888 }, { "term": "ai models", "score": 0.0884 }, { "term": "data quality", "score": 0.0855 } ], "page_count": 21, "word_count": 12190, "reference_count": 0, "centrality": 0.1701, "betweenness": 0.0005, "abstract": "Contemporary Artificial Intelligence (“AI”) systems, particularly Large Language Models (“LLMs”), face an imminent shortage of high-quality, human- generated textual data, a phenomenon often termed “data exhaustion”. This Article Info article examines the limitations of existing centralized data-annotation frameworks, highlighting critical issues such as bias, high computational Volume 5, Issue 1, January 2025 overhead, and insufficiently adaptive infrastructures. Current market participants-including Scale AI, Appen, CloudFactory, and others-excel at rapidly Received : xx xxxxx 2024 scaling annotation services yet struggle with ethical sourcing, privacy Accepted: xx xxxxx 2024 compliance, and equitable compensation. In addition, legal and regulatory Published: 05 January 2025 concerns, exemplified by stringent mandates such as the General Data Protection Regulation (“GDPR”), constrain the free flow of data essential for advanced AI doi: 10.51483/IJAIML.5.1.2025.xx-xx research. As a corrective measure, decentralized data production paradigms are proposed, including the adoption of smart contracts, token-based incentives, and participatory governance through Decentralized Autonomous Organizations (“DAOs”). While existing decentralized initiatives- plz chk SingularityNET, Fetch.ai, Ocean Protocol, Numeraire, and DcentAI-offer underlines incremental innovations in reputation management and stakeholder engagement, they fail to fully address the nuanced requirements of large-scale plz “Mechanical Turk”-style data creation. In contrast, the author proposes a reduce Weighted Directed Acyclic Graph (“WDAG”) governance model which provides the a multi-dimensional reputation framework, facilitating real-time validation of abstract data contributions, adaptive ethical and legal compliance, and collaborative oversight by diverse community members. Findings suggest that such WDAG- centric systems can more effectively maintain data quality, ensure ethical alignment, and incentivize broad participation, thereby mitigating the looming data shortage and expanding AI’s societal benefits. Ultimately, successful implementation requires coordinated efforts among policymakers, industry practitioners, and civil society actors to sustain both the technological and ethical integrity of AI research. By integrating WDAG-based governance with emerging decentralized solutions, the AI community may realize a more equitable, scalable, and future-ready paradigm for data provisioning." }, { "id": "8b928d929edc", "filename": "Kaal - 2021 - Reputation as Capital – How DAOs Upgrade Finance.pdf", "title": "Reputation as Capital – How DAOs Upgrade Finance", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "daoic", "score": 0.7979 }, { "term": "rnft", "score": 0.2575 }, { "term": "daoic members", "score": 0.215 }, { "term": "reputation", "score": 0.1885 }, { "term": "rop", "score": 0.1585 }, { "term": "token opportunity", "score": 0.1415 }, { "term": "capital", "score": 0.1328 }, { "term": "phase", "score": 0.119 }, { "term": "rnft staking", "score": 0.1132 }, { "term": "token", "score": 0.1116 }, { "term": "staking", "score": 0.0963 }, { "term": "fungible reputation", "score": 0.0901 }, { "term": "reputation capital", "score": 0.0877 }, { "term": "members", "score": 0.0741 }, { "term": "fungible", "score": 0.0686 } ], "page_count": 36, "word_count": 10742, "reference_count": 0, "centrality": 0.5986, "betweenness": 0.0107, "abstract": "Decentralized Autonomous Organizations (DAOs) have the potential to upgrade finance. This paper evaluates the design of and system requirements for a decentralized cryptocurrency venture capital investment club that is operating as a DAO (DAOIC). The design of the proposed DAOIC enables investors to substitute capital commitments by way of reputation token staking on proposed portfolio companies. The proposed design has the potential to lower capital requirements and free up liquidity for decentralized smart contract coordinated investment vehicles. Key Words: Decentralized Autonomous Organization, Venture Capital, Reputation, Non-Fungible Tokens, Fungible Tokens, Capital, Venture Funding, Finance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1 Professor of Law, University of St. Thomas School of Law, Minneapolis. The author is grateful for many discussions with Craig Calcaterra & Kaal on the uses of reputation systems for the evolution of decentralized governance and DAOs. 0 Electronic copy available at: https://ssrn.com/abstract=3949098 Executive Summary ● Reputation Replaces Capital: Instead of capital commitments, DAOIC members stake RNFTs on deals ● Return Amplification - the fungible reputation token may be valued by the market as: ○ 1.) a tokenized instantiation of the collective wisdom of the DAOIC members ○ 2.) a representation of the total ROP on each deal upvoted by DAOIC members via RNFT ● Risk Mitigation: ○ 1.) collective wisdom of DAOIC members hedges against purchase risk ○ 2.) RNFT staking removes counterparty risk ○ 3.) fungible reputation tokens are liquid assets in secondary market ○ 4.) incentive design ensures consent in RNFT staking which removes risk of loss ● Liquidity: ○ 1.) removal of capital gives the DAOIC members a permanent option on deals ○ 2.) no capital calls etc. improves liquidity ○ 3.) public secondary market ensures liquidity in fungible reputation token ● Ratio Adjustments: ○ 1.) provide a key tool for strategic increases in profitability ○ 2.) enable strategic tradeoffs ○ 3.) coordinate overall DAOIC policy ○ 4.) are subject to DAOIC member vote via RNFT staking 1 Electronic copy available at: https://ssrn.com/abstract=3949098 REPUTATION AS CAPITAL" }, { "id": "8c8bbede8363", "filename": "Calcaterra et al. - 2018 - Blockchain Infrastructure for Measuring Domain Specific Reputation in Autonomous Decentralized and A.pdf", "title": "Draft Version 0.3", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "sem", "score": 0.281 }, { "term": "expertise", "score": 0.2641 }, { "term": "expertise tag", "score": 0.259 }, { "term": "sem tokens", "score": 0.2381 }, { "term": "platform", "score": 0.2359 }, { "term": "experts", "score": 0.2313 }, { "term": "tag", "score": 0.22 }, { "term": "tokens", "score": 0.2142 }, { "term": "fees", "score": 0.1902 }, { "term": "reputation", "score": 0.1741 }, { "term": "bench", "score": 0.1564 }, { "term": "arbiters", "score": 0.1562 }, { "term": "arbiter", "score": 0.149 }, { "term": "com abstract 3125822", "score": 0.1394 }, { "term": "abstract 3125822", "score": 0.1394 } ], "page_count": 44, "word_count": 17364, "reference_count": 3, "centrality": 0.3946, "betweenness": 0.0015, "abstract": "Autonomous decentralized validation of domain-specific reputation is a core decentalized infrastructure necessity. The main design goals for measuring domain-specific reputation in autonomous decentralized and anonymous systems are to: 1) evaluate domain specific reputation across a wide variety of expertises 2) insure security, including resistance to Sybil attacks, tyranny of the majority, and 51% attacks 3) provide a minimal, robust core architecture which supports modular constructions for a wide range of use cases The key features are: 1) a positive feedback loop which promotes productive cooperation between public and expert users 2) maximal freedom for experts in the creation of reputation verification protocols 3) complete autonomy—the economic structure is closed to off-domain influence; all power and fees are shared entirely by expert users, weighted by reputation 4) meritocracy—the platform supports anonymity, rewarding ability and productive contributions over personal identity The creation of a transparent, fair, and predictable system that facilitates certainty of outcomes, security, and efficiency benefits society with the advancement of justice and prevention of corruption on a global scale. Electronic copy available at: https://ssrn.com/abstract=3125822" }, { "id": "8caf55569acd", "filename": "Calcaterra and Kaal - 2021 - Historical Sketches of Centralization vs. Decentralization.pdf", "title": "Chapter ) – Historical Sketches of Centralization vs. Decentralization", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "cid", "score": 0.3832 }, { "term": "centralization", "score": 0.272 }, { "term": "china", "score": 0.2607 }, { "term": "power", "score": 0.2087 }, { "term": "decentralization", "score": 0.1878 }, { "term": "hierarchy", "score": 0.1737 }, { "term": "branch", "score": 0.173 }, { "term": "chinese", "score": 0.1597 }, { "term": "chapter", "score": 0.1528 }, { "term": "centralized", "score": 0.1445 }, { "term": "decentralized", "score": 0.1358 }, { "term": "vs", "score": 0.1301 }, { "term": "cid cid", "score": 0.1264 }, { "term": "historical", "score": 0.1232 }, { "term": "decentralization cid", "score": 0.1187 } ], "page_count": 35, "word_count": 16827, "reference_count": 1, "centrality": 0.1769, "betweenness": 0.0002, "abstract": "Chapter ) of the book explores the historical foundations of decentralized structures, starting with early hominids through Imperial China and the American Revolution. The primary goal of the chapter is to witness the central-decentral dichotomy in its evolutionary context to understand more fully their effects on organizations. The chapter evaluates the stabilizing effect of decentralization in context and contrasts it with the greater temporary effectiveness of centralization. History shows how dy- namic societies have always been. This dynamic perspective illustrates what freedom and power humanity has to reorganize social networks. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Chapter 9. Historical sketches of centralization vs. decentralization Each advance in information technology has led to an improvement in humanity’s ability to organize. It is easy to observe the effect of these advances when power is centralized: you fol- low the choices of the central leader. Most recorded history is about centralized hi- erarchies. The “Great Man” version of historiography records the history of the deci- sions of kings and queens. It’s a popular perspective for historians, because it is easier than explaining how the more important story is the litany of changes in “little people’s lives”. The psychological state of Henry VIII is endlessly debated, even Electronic copy available at: https://ssrn.com/abstract=3782193" }, { "id": "919c42f125f2", "filename": "Kaal - 2021 - Decentralization – Why We Need Technology Infrastructure Upgrades.pdf", "title": "Decentralization – Why We Need Technology Infrastructure Upgrades", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "open source", "score": 0.2969 }, { "term": "need technology", "score": 0.2559 }, { "term": "source", "score": 0.2452 }, { "term": "infrastructure upgrades", "score": 0.235 }, { "term": "technology infrastructure", "score": 0.1995 }, { "term": "open", "score": 0.1864 }, { "term": "technology", "score": 0.1646 }, { "term": "peer", "score": 0.1562 }, { "term": "social media", "score": 0.1544 }, { "term": "decentralization", "score": 0.1502 }, { "term": "software", "score": 0.148 }, { "term": "digital transformation", "score": 0.1471 }, { "term": "accessed june 2020", "score": 0.1367 }, { "term": "cloud computing", "score": 0.1355 }, { "term": "computing", "score": 0.1322 } ], "page_count": 49, "word_count": 15552, "reference_count": 3, "centrality": 0.4898, "betweenness": 0.0038, "abstract": "The article shows that the technological precursors of decentralization require a reexamination of technological infrastructure for decentralized systems. Highlighting the past and present events in technology development that helped usher in the age of decentralization, the article examines the role of technology-based networking in the evolution of decentralization. The evolution of increased networking captabilities had real economic consequences. Platform business proliferation, the API economy, the sharing economy, and the network information economy are key examples. Similar economic consequences can be expected in the aftermath of the decentralized technology infrastructure evolution. The article concludes with a discussion of decentralized technology infrastructure upgrades that enable the evolving age of technology and societal decentralization. Key Words: Decentralization, History, Digital Assets, Decentralized Finance, Blockchain, Start-up, Decentralized Commerce, Emerging Technology, Token Models, Incentive Design, Tokens, Distributed Ledger Technology, Decentralized Infrastructure JEL Categories: K20, K23, K32, L43, L5, O31, O32 ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). The author is gratefull for ongoing discussions about decentralized technology solutions with Craig Calcaterra. The author is also grateful for outstanding research assistance from Hayley Howe and research librarian assistance from Nicole Kinn. The author did not receive any form of financial incentive for authoring this article. 1 Electronic copy available at: https://ssrn.com/abstract=3808859 DECENTRALIZATION – WHY WE NEED TECHNOLOGY INFRASTRUCTURE UPGRADES" }, { "id": "9533231bc659", "filename": "Kaal - 2026 - Refundable Stake Does Not Expand Deterrent Capacity in Long-Lived Delegation Collateral, Premia, and Pseudonymous Markets.pdf", "title": "Refundable Stake Does Not Expand Deterrent Capacity in Long-Lived Delegation: Collateral, Premia, and Pseudonymous Markets", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "adversarial", "score": 0.2071 }, { "term": "statement", "score": 0.1671 }, { "term": "capacity", "score": 0.1671 }, { "term": "choices", "score": 0.1671 }, { "term": "commercial", "score": 0.1671 }, { "term": "formal proofs", "score": 0.1671 }, { "term": "protocol", "score": 0.155 }, { "term": "audit", "score": 0.1492 }, { "term": "complete", "score": 0.1492 }, { "term": "proofs", "score": 0.1492 }, { "term": "whose", "score": 0.1429 }, { "term": "results", "score": 0.1375 }, { "term": "formal", "score": 0.1375 }, { "term": "claims", "score": 0.1251 }, { "term": "place", "score": 0.0987 } ], "page_count": 14, "word_count": 4976, "reference_count": 0, "centrality": 0.3129, "betweenness": 0.0145, "abstract": "∗Professor of Law, University of St. Thomas School of Law (Minneapolis). Nature and scope of claims. This Article is a theory paper: a reduced-form incentive analysis of refundable collateral in long-lived del- egated relationships among pseudonymous parties. It distinguishes three classes of statement and labels each in place: the author’s results whose algebra survived the adversarial audit protocol described below (the capacity frontier, its cell slopes, and the admission conditions); conditional results whose validity depends on stated open modeling choices (the market layer and any equilibrium-selection role for entry fees); and conjectures (the behavioral decomposition for observed misconduct rates). Complete formal proofs are not contained in this draft. After the author’s initial formulation, the claims below were stress- tested in a nineteen-round adversarial protocol in which three frontier language models (Claude, Grok and Codex), under the author’s direction, alternately attempted to identify counterexamples, algebraic errors, and overstatements. The surviving statements are those that neither system broke, and the audit trail is preserved in the author’s research archive. That protocol is neither peer review nor a substitute for complete formal proofs. Every reference was verified against publisher or authoritative bibliographic records, with resolving links, on August 20, 2026, and each is cited only for the specific statement the verification confirmed it supports. Nothing in this Article predicts the performance of any commercial deployment or constitutes investment, legal, or technical advice. Field environments may diverge from the model in ways the analysis prices only partially, including adversarial populations, filing and adjudica- tion quality, market tightness, real rather than modeled stakes, regulatory and jurisdictional constraints, and the operational, governance, and incentive choices of commercial principals that are not within the auth" }, { "id": "95a14019858f", "filename": "Kaal and Krause - 2016 - Hedge Funds and Systemic Risk.pdf", "title": "Chapter 17 Hedge Funds and Systemic Risk", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "hedge", "score": 0.5532 }, { "term": "hedge funds", "score": 0.3489 }, { "term": "funds", "score": 0.2718 }, { "term": "hedge fund", "score": 0.2651 }, { "term": "systemic risk", "score": 0.2563 }, { "term": "systemic", "score": 0.2547 }, { "term": "fund", "score": 0.2263 }, { "term": "funds systemic", "score": 0.1193 }, { "term": "funds systemic risk", "score": 0.1149 }, { "term": "hedge funds systemic", "score": 0.1135 }, { "term": "liquidity", "score": 0.1109 }, { "term": "returns", "score": 0.1067 }, { "term": "fund returns", "score": 0.0986 }, { "term": "hedge fund returns", "score": 0.096 }, { "term": "crisis", "score": 0.0919 } ], "page_count": 26, "word_count": 8161, "reference_count": 9, "centrality": 0.1701, "betweenness": 0.0004, "abstract": "The public media and politicians regularly debate the potential for hedge funds to contribute to systemic risk in financial markets. Because the hedge fund industry experienced substantial growth since the 1990s, concerns about hedge funds’ systemic risk have increased and regulators have taken measures to mitigate possible risks associated with these funds. The chapter summarizes the pre- and post-crisis debate and highlights the post-crisis evidence about hedge funds’ alleged systemic risk. In particular, the chapter examine evidence about specific factors surrounding hedge funds’ possible contributions to systemic risk, including risk management incentives, leverage, liquidity characteristics, regulation, financial stability, transparency, and their potential to induce and perpetuate market contagion." }, { "id": "95f1720c7436", "filename": "Kaal and Dell'Erba - 2017 - Blockchain Innovation in Private Investment Funds - A Comparative Analysis of the United States and.pdf", "title": "U.S. vs. E.U. - BLOCKCHAIN APPLICATIONS IN PRIVATE", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "blockchain", "score": 0.4669 }, { "term": "private investment", "score": 0.2675 }, { "term": "private investment funds", "score": 0.2514 }, { "term": "investment funds", "score": 0.2213 }, { "term": "funds", "score": 0.2028 }, { "term": "blockchain technology", "score": 0.1763 }, { "term": "technology", "score": 0.1755 }, { "term": "2017", "score": 0.1666 }, { "term": "available https", "score": 0.1583 }, { "term": "investment", "score": 0.1581 }, { "term": "11 2017", "score": 0.1503 }, { "term": "blockchain applications", "score": 0.1315 }, { "term": "fund", "score": 0.124 }, { "term": "jul", "score": 0.1017 }, { "term": "available https ssrn", "score": 0.1014 } ], "page_count": 35, "word_count": 14594, "reference_count": 0, "centrality": 0.3401, "betweenness": 0.0049, "abstract": "The use of blockchain technology in private investment funds is proliferating. Using a dataset of private investment fund advisers that utilize blockchain technology (N=120), we explore the core commonalities and differences in the use of blockchain technology between European and American fund advisers. The data analysis in this article suggests that the market for private investment funds who invest in- and utilize blockchain technology appears to be near equally divided between the US and the EU, with Russia and China playing significant roles. We interpret parts of the data as suggesting that larger private investment fund advisers in Europe may be more willing to make the required investments into blockchain infrastructure whereas in the US the legacy systems utilized by larger private investment fund advisers create barriers to entry for larger advisers to invest in- and utilize blockchain technology. Larger European fund advisers use the technology predominantly to invest in- and secure crypto assets whereas American fund advisers appear to use the smart contracting features of the technology more frequently to build more advanced crypto businesses and business structures via blockchain technology. While the overall proportion of strategies of private investment funds that utilize modern technologies, including blockchain technology, is still small, as the private investment fund industry’s use of blockchain technology grows and accelerates, the innovation benefits for private investment funds and their clients promise lasting change for the industry. Key Words: Blockchain, Distributed Ledger Technology, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Meta Models, Innovation, Entrepreneur, Startup, Big Data, Private Investment Funds, Hedge Funds, Private Equity, Diversification, Compliance, Optimization, Efficiency JEL Categories: K20, K23, K32, L43, L5, O31, O32 * Associate Professor, University of St. Thomas School of Law (Minneapolis), United States of America. ** Post-Doctoral Fellow, Groningen Center for European Financial Services Law (University of Groningen), Research Associate, LabEx ReFi (ENA, ESCP, Paris I Panthéon-Sorbonne, CNAM). 1 Electronic copy available at: https://ssrn.com/abstract=3002908 Electronic copy available at: https://ssrn.com/abstract=3002908 U.S. vs. E.U. - BLOCKCHAIN APPLICATIONS IN PRIVATE INVESTMENT FUNDS Table of Content" }, { "id": "991488ad67fb", "filename": "Kaal - 2016 - The Private Fund Industry Five Years after the Dodd-Frank Act – A Survey Study.pdf", "title": "The Private Fund Industry Five Years after the Dodd-Frank Act – A Survey Study", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "private fund", "score": 0.2989 }, { "term": "fund", "score": 0.2825 }, { "term": "dodd", "score": 0.2305 }, { "term": "dodd frank", "score": 0.2266 }, { "term": "respondents", "score": 0.2201 }, { "term": "advisers", "score": 0.2189 }, { "term": "frank", "score": 0.207 }, { "term": "com abstract 2732915", "score": 0.1757 }, { "term": "abstract 2732915", "score": 0.1757 }, { "term": "2732915", "score": 0.1649 }, { "term": "frank act", "score": 0.1605 }, { "term": "dodd frank act", "score": 0.1564 }, { "term": "hedge", "score": 0.1508 }, { "term": "fund industry", "score": 0.1345 }, { "term": "funds", "score": 0.1333 } ], "page_count": 41, "word_count": 11572, "reference_count": 0, "centrality": 0.2517, "betweenness": 0.0047, "abstract": "This study evaluates the long-term implications of the unprecedented yet evolving post Dodd-Frank Act regulatory framework pertaining to the private fund industry. The Author collected and coded data for a population of 1267 registered investment advisers. Respondents (N=69) answered questions in several categories designed to identify cost, compliance, and management issues associated with the post Dodd-Frank Act regulatory framework. The findings in this study suggest that the industry is mostly affected by the uncertainty and higher costs associated with the Act, but under multiple metrics the industry appears to be coping well overall with the evolving post Dodd- Frank Act regulatory landscape. * © 2016 Wulf A. Kaal. Associate Professor, University of Saint Thomas School of Law, Minneapolis. The Author wishes to acknowledge the assistance of his colleagues. The Author would also like to sincerely thank the many industry representatives who provided several rounds of comments and feedback on initial drafts of the survey instrument. He is also grateful for outstanding research assistance from librarian Nick Farris and student research assistant Nadine Ibrahim. 0 Electronic copy available at: https://ssrn.com/abstract=2732915 Electronic copy available at: http://ssrn.com/abstract=2732915 PRIVATE FUND INDUSTRY FIVE YEARS AFTER THE DODD-FRANK ACT" }, { "id": "9a144ff79b4b", "filename": "Kaal - 2017 - Shareholder Agreements - National Report of the United States of America.pdf", "title": "Shareholder Agreements - National Report of the United States of", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "shareholder", "score": 0.3527 }, { "term": "agreements", "score": 0.3419 }, { "term": "agreement", "score": 0.3317 }, { "term": "shareholders", "score": 0.3306 }, { "term": "shareholder agreements", "score": 0.3022 }, { "term": "corporation", "score": 0.2816 }, { "term": "2d", "score": 0.2076 }, { "term": "voting", "score": 0.1903 }, { "term": "id", "score": 0.1695 }, { "term": "shares", "score": 0.1406 }, { "term": "directors", "score": 0.111 }, { "term": "stock", "score": 0.0969 }, { "term": "corporations", "score": 0.0917 }, { "term": "close", "score": 0.0863 }, { "term": "charter", "score": 0.0861 } ], "page_count": 25, "word_count": 10930, "reference_count": 0, "centrality": 0.102, "betweenness": 0.0007, "abstract": "This national report on the law of shareholder agreements in the United State of America outlines the nature of corporate law regulation in the United States as it relates to shareholder agreements. Particular areas discussed in the context of shareholder agreements in the United States include: shareholder rights, transfer of shares, the constitution of the corporation, pre-insolvency, legal effects of shareholder agreements, including legal effects on the corporation, the consequences of the breach of shareholder agreements, and the enforcement of shareholder agreements." }, { "id": "9a665fac781f", "filename": "Kaal - 2026 - The Collapse of Scarcity Economics.pdf", "title": "The Collapse of Scarcity Economics", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "abundance", "score": 0.1904 }, { "term": "institutional", "score": 0.1779 }, { "term": "labor", "score": 0.1699 }, { "term": "economics", "score": 0.1632 }, { "term": "scarcity", "score": 0.1536 }, { "term": "computative", "score": 0.1443 }, { "term": "institutional economics", "score": 0.1443 }, { "term": "computative economics", "score": 0.1443 }, { "term": "neoclassical", "score": 0.1371 }, { "term": "equilibrium", "score": 0.1312 }, { "term": "production", "score": 0.1312 }, { "term": "economic", "score": 0.1233 }, { "term": "designed", "score": 0.1181 }, { "term": "intelligence", "score": 0.1024 }, { "term": "resources", "score": 0.0907 } ], "page_count": 47, "word_count": 15144, "reference_count": 0, "centrality": 0.3401, "betweenness": 0.0061, "abstract": "Traditional economic frameworks assume scarcity-constrained equilibrium, wherein capital, labor, and resources interact within finite boundaries. Artificial intelligence and robotics introduce production functions that decouple growth from labor constraints, thus fundamentally challenging this foundational assumption. Building on the author’s prior work, this Article argues that the convergence of AI-driven automation, zero-marginal-cost production, and exponential scaling renders obsolete not merely individual occupations but the institutional architectures that depend upon scarcity as an organizing principle. The Article systematically demonstrates how the core propositions of neoclassical, behavioral, information-theoretic, general-equilibrium, and New Institutional economics expire in the face of computational abundance. It develops a theoretical framework for understanding abundance as a structural economic condition and proposes that the emerging economy requires governance mechanisms designed for what the author has elsewhere termed Computative Economics—economic science explicitly designed for a world in which intelligence is abundant, perfect, and self-improving. Keywords: artificial intelligence; post-scarcity economics; abundance economics; zero marginal cost; Coasean Singularity; Agentic Decoupling; Computative Economics; decentralized autonomous organizations; blockchain governance; reputation systems; dynamic regulation; agency costs; corporate governance; tokenomics; labor displacement; GDP measurement; institutional obsolescence; principal-agent theory; neoclassical economics; bounded rationality; information economics; general equilibrium; New Institutional Economics JEL Classification: O33, O38, O43, P16, E58, G34, K20, K23, J23, E01, D21, D23, D47, D50, D86, L14, B13, B21, B25, B52 1 Professor of Law, University of St. Thomas School of Law (Minneapolis). The author is grateful for enlightening correspondence with Mark Lemley whose outstanding scho" }, { "id": "9bb2c112d572", "filename": "Calcaterra and Kaal - 2021 - Contemporary Decentralization.pdf", "title": "Chapter ) – Contemporary Decentralization 1", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "cid", "score": 0.4169 }, { "term": "network", "score": 0.2228 }, { "term": "apache", "score": 0.1958 }, { "term": "bitcoin", "score": 0.1838 }, { "term": "contemporary", "score": 0.1722 }, { "term": "decentralization", "score": 0.1638 }, { "term": "decentralized", "score": 0.1623 }, { "term": "chapter", "score": 0.1466 }, { "term": "cid cid", "score": 0.1415 }, { "term": "blockchain", "score": 0.1224 }, { "term": "decentralization cid", "score": 0.1205 }, { "term": "hash", "score": 0.1184 }, { "term": "internet", "score": 0.1149 }, { "term": "software", "score": 0.113 }, { "term": "web", "score": 0.1092 } ], "page_count": 38, "word_count": 16958, "reference_count": 2, "centrality": 0.4558, "betweenness": 0.0024, "abstract": "Chapter ) highlights the transition from Web ).5 companies, such as Google, Fa- cebook, and Uber, among many others, which have disrupted much of the economy, to more decentralized solutions. Consumers around the globe are becoming increas- ingly accustomed to the advantages of decentralized business. Improvements in peer- to-peer technology may over time remove the centralized owners of these Web ).5 companies. Bitcoin serves as an example of a measurably valuable network with a thoroughly decentralized ownership structure. The chapter evaluates how existing shortcomings in open source technology and webG DApps for decentralized autono- mous organizations, among others, can be addressed to help humanity benefit from the decentralized technology evolution. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Chapter 5. Contemporary Decentralization Web ).5 started when companies exploited the power of decentralization using the tools of personal computers and the internet. Web ).5 began around KLLL with companies like Google, Amazon, and Wikipedia taking advantage of previously un- tapped talent and knowledge. Wikipedia decentralizes knowledge collection and or- ganization; PayPal decentralizes payment services; Skype decentralizes telecommuni- cations; Spotify decentralizes file sharing; Google Maps decentralizes data collection for knowledge about road traffic, just as the Google search engine decentralizes data collection for knowledge about website popularity by monitoring internet traffic; YouTube decentralizes video production, putting a television studio in the pocket of Electronic copy available at: https://ssrn.com/abstract=3782198" }, { "id": "a4fa3c22dd50", "filename": "Fenwick et al. - 2017 - Regulation Tomorrow What Happens When Technology Is Faster Than the Law.pdf", "title": "Regulation Tomorrow What Happens When Technology Is Faster Than the Law", "topic": { "cluster_id": 10, "topic_label": "Dynamic Regulation", "top_terms": [ "rulemaking", "innovation", "regulatory", "regulation", "dynamic regulation" ] }, "keywords": [ { "term": "3204119", "score": 0.4192 }, { "term": "abstract 3204119", "score": 0.4192 }, { "term": "com abstract 3204119", "score": 0.4192 }, { "term": "regulatory", "score": 0.164 }, { "term": "copy available https", "score": 0.1384 }, { "term": "available https ssrn", "score": 0.1372 }, { "term": "electronic copy", "score": 0.1361 }, { "term": "electronic copy available", "score": 0.1361 }, { "term": "copy available", "score": 0.1361 }, { "term": "copy", "score": 0.1326 }, { "term": "available https", "score": 0.1303 }, { "term": "https ssrn com", "score": 0.1281 }, { "term": "https ssrn", "score": 0.1281 }, { "term": "facts", "score": 0.1128 }, { "term": "innovation", "score": 0.1021 } ], "page_count": 34, "word_count": 11279, "reference_count": 0, "centrality": 0.102, "betweenness": 0.0084, "abstract": "=3204119 Electronic copy available at: https://ssrn.com/abstract=3204119" }, { "id": "a8215c285cc2", "filename": "Kaal - 2026 - The Institutional Deficit in Decentralized Autonomous Organizations - An Empirical Analysis.pdf", "title": "The Institutional Deficit in DAOs", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "institutional", "score": 0.1788 }, { "term": "segments", "score": 0.163 }, { "term": "score", "score": 0.163 }, { "term": "consistently", "score": 0.163 }, { "term": "eight", "score": 0.1532 }, { "term": "treasury", "score": 0.1532 }, { "term": "produce", "score": 0.1395 }, { "term": "across", "score": 0.1373 }, { "term": "alignment", "score": 0.1298 }, { "term": "five", "score": 0.1258 }, { "term": "on-chain", "score": 0.1258 }, { "term": "dao", "score": 0.1245 }, { "term": "infrastructure", "score": 0.1184 }, { "term": "architecture", "score": 0.1085 }, { "term": "daos", "score": 0.1085 } ], "page_count": 37, "word_count": 10770, "reference_count": 0, "centrality": 0.5442, "betweenness": 0.0131, "abstract": "This Article presents the first systematic empirical analysis of institutional architecture across decentralized autonomous organizations. Forty operational DAOs spanning eight industry segments: investment and DeFi, base-layer infrastructure, data and analytics, decentralized science, oracles and tooling, civic and political coordination, NFT collectibles, and gaming and virtual worlds. These segments are evaluated against a thirteen-category institutional rubric derived from the Calcaterra-Kaal framework. The framework synthesizes Arrow's Impossibility Theorem, the Folk Theorems of repeated games, and Incomplete Contract Theory into a proof that rule stability is institutionally self-defeating and that cooperative governance requires architecture that governs its own evolution. Five institutional patterns hold across every segment of the dataset. First, a visibility paradox: categories that produce visible artifacts (token launches, treasury balances, marketplace activity) score consistently above the midpoint, while categories that produce invisible governance infrastructure (legal wrappers, judicial branches, AI alignment policies, on-chain reputation ledgers) score consistently below it. Second, a universal AI-governance vacuum: AI Alignment scores 2.10 of 10 dataset-wide with no DAO scoring above 5, the only category in the framework where no entity crosses the midpoint. Third, token-plutocracy as the default governance form, with dataset-wide Decentralization at 5.17 and no production deployment of reputation-weighted on-chain aggregation. Fourth, legal-wrapper heterogeneity without convergence: eight distinct wrapper structures appear across the forty entities, with only one DAO using the Wyoming DAO LLC statute. Fifth, a convergent architectural agenda for institutional repair built around five upgrades: ERC-1155 multi-token reputation, tripartite separation of powers, stablecoin treasury infrastructure, weighted directed acyclic graph historiography, and v" }, { "id": "a87e522e3b75", "filename": "Andreas and Kaal - 2025 - Universal Digital Law Codex (UDLC) Building the Legal Infrastructure for the Digital Era.pdf", "title": "Universal Digital Law Codex (UDLC) Building the Legal Infrastructure for the Digital Era", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "udlc", "score": 0.3229 }, { "term": "uncitral", "score": 0.2276 }, { "term": "ai", "score": 0.224 }, { "term": "smart", "score": 0.2094 }, { "term": "civil law", "score": 0.1922 }, { "term": "smart contracts", "score": 0.1874 }, { "term": "digital", "score": 0.1835 }, { "term": "contracts", "score": 0.1799 }, { "term": "2025", "score": 0.1631 }, { "term": "principles", "score": 0.1617 }, { "term": "blockchain", "score": 0.1385 }, { "term": "law jurisdictions", "score": 0.138 }, { "term": "civil", "score": 0.1364 }, { "term": "draft version", "score": 0.1357 }, { "term": "convention", "score": 0.1245 } ], "page_count": 38, "word_count": 15455, "reference_count": 0, "centrality": 0.483, "betweenness": 0.0054, "abstract": "The emergence of Web3 technologies, including distributed ledger technology (DLT), smart contracts, digital assets, and artificial intelligence (AI), has revolutionized global commerce by enabling decentralized, automated, and borderless transactions. However, their integration into traditional legal systems presents significant challenges, including disruptions to digital assets and contract formation in common and civil law jurisdictions, enforceability issues in civil law systems, jurisdictional conflicts in cross-border transactions, and normative deficiencies in the \"code is law\" paradigm. These challenges, compounded by a fragmented global regulatory landscape, threaten legal certainty, compliance, and innovation. This article proposes the Universal Digital Law Codex (UDLC) as a comprehensive legal framework developed as a first draft3 by Andreas Furrer, Wulf Kaal, and Stephan D. Meyer.4 UDLC addresses these issues and fosters a robust infrastructure for the digital era. UDLC integrates DLT, AI, and quantum computing into existing legal systems through minimum legal requirements, dynamic compliance mechanisms, and decentralized dispute resolution, ensuring smart contracts align with common and civil law principles. By promoting legal interoperability, respecting jurisdictional diversity, and embedding decentralized governance, UDLC mitigates cross-jurisdictional conflicts and overcomes the limitations of \"code is law.\" Drawing on a critical analysis of global regulatory initiatives, such as UNCITRAL’s Model Laws, and exemplified by its application in decentralized dispute resolution mechanisms, this study demonstrates UDLC’s transformative potential to ensure legal certainty, trust, and sustainable growth in Web3 markets across diverse legal systems." }, { "id": "a9c0b315b800", "filename": "Kaal - 2019 - Decentralization - A Primer on the New Economy.pdf", "title": "Decentralization - A Primer on the New Economy", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "decentralized", "score": 0.4132 }, { "term": "decentralization", "score": 0.307 }, { "term": "smart", "score": 0.2247 }, { "term": "decentralized commerce", "score": 0.2197 }, { "term": "commerce", "score": 0.2107 }, { "term": "systems", "score": 0.1389 }, { "term": "technology", "score": 0.138 }, { "term": "centralized", "score": 0.1195 }, { "term": "decentralized technology", "score": 0.115 }, { "term": "decentralized systems", "score": 0.105 }, { "term": "stable cryptocurrencies", "score": 0.1036 }, { "term": "cryptocurrencies", "score": 0.1034 }, { "term": "cryptocurrency", "score": 0.1019 }, { "term": "underwriting", "score": 0.1008 }, { "term": "copy available https", "score": 0.0995 } ], "page_count": 20, "word_count": 5583, "reference_count": 0, "centrality": 0.517, "betweenness": 0.0058, "abstract": "Out of necessity, humans have engaged in centralized thinking since the emergence of tribal societies and throughout urbanization and the industrial revolution. Emerging decentralized technology transcends traditional economic notions of capitalism versus socialism and inaugurates new forms of economic exchange. The author examines the evolution of decentralized solutions for commerce and society as well as associated opportunities and obstacles. Key Words: Decentralization, Decentralized Commerce, Emerging Technology, Token Models, Incentive Design, Tokens, Blockchain, Distributed Ledger Technology, Reputation Verification, Economics, Socialism, Capitalism JEL Categories: K20, K23, K32, L43, L5, O31, O32 * Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). The author wishes to sincerely thank Prof. Craig Calcaterra for his invaluable perspectives and feedback that contributed to this short introduction and primer on Decentralization. 0 Electronic copy available at: https://ssrn.com/abstract=3406323" }, { "id": "ab4db2eb301d", "filename": "Kaal - 2018 - Initial Coin Offerings The Top 25 Jurisdictions and Their Comparative Regulatory Responses.pdf", "title": "Initial Coin Offerings The Top 25 Jurisdictions and Their Comparative Regulatory Responses", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "ico", "score": 0.513 }, { "term": "icos", "score": 0.2055 }, { "term": "initial coin", "score": 0.1979 }, { "term": "initial coin offerings", "score": 0.1947 }, { "term": "coin offerings", "score": 0.1915 }, { "term": "2018", "score": 0.1879 }, { "term": "visited jan", "score": 0.1856 }, { "term": "coin", "score": 0.1792 }, { "term": "cryptocurrency", "score": 0.1697 }, { "term": "2017", "score": 0.1611 }, { "term": "offerings", "score": 0.1601 }, { "term": "id", "score": 0.1368 }, { "term": "regulatory", "score": 0.1304 }, { "term": "cryptocurrencies", "score": 0.1215 }, { "term": "initial", "score": 0.1147 } ], "page_count": 29, "word_count": 6754, "reference_count": 0, "centrality": 0.551, "betweenness": 0.0165, "abstract": "This article provides an overview of the evolving ICO market. It evaluates hand-selected data for the top 25 ICO jurisdictions by market capitalization. The author codes the regulatory responses of the top 25 ICO jurisdictions in the world and provides a comparative analysis of their respective regulatory actions. Key Words: Initial Coin Offerings, Blockchain, Distributed Ledger Technology, Regulation, Market Abuse, Investor Protection, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Innovation, Entrepreneur, Start-up, Big Data, Crytpo Economics, Diversification, Optimization, Efficiency, Governance, Bad Actors, Risk Factors, Regulation JEL Categories: K20, K23, K32, L43, L5, O31, O32 * © 2018 Wulf A. Kaal. Professor, University of Saint Thomas School of Law and Director of the Private Investment Funds Institute, Minneapolis. The author is grateful for outstanding research assistance from Samuel Evans and research librarian Nicole Catlin. 0 Electronic copy available at: https://ssrn.com/abstract=3117224" }, { "id": "ae5513427968", "filename": "Kaal - 2026 - Governance as a Product (GaaP) A Reputation-Weighted Institutional Architecture for Autonomous AI Agent Governance.pdf", "title": "Governance as a Product: A Reputation-Weighted", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "agents", "score": 0.1894 }, { "term": "formal", "score": 0.1618 }, { "term": "product", "score": 0.1541 }, { "term": "autonomous agents", "score": 0.1541 }, { "term": "reputation-weighted", "score": 0.1465 }, { "term": "layer", "score": 0.1465 }, { "term": "sustainable", "score": 0.1465 }, { "term": "institutional", "score": 0.1447 }, { "term": "human", "score": 0.1305 }, { "term": "present", "score": 0.1265 }, { "term": "critical", "score": 0.1229 }, { "term": "acyclic graph", "score": 0.1229 }, { "term": "governance", "score": 0.122 }, { "term": "autonomous", "score": 0.1208 }, { "term": "infrastructure", "score": 0.1191 } ], "page_count": 4, "word_count": 2568, "reference_count": 0, "centrality": 0.4626, "betweenness": 0.0069, "abstract": "—Autonomous artificial intelligence agents already act consequentially in finance, medicine, and critical infrastructure, yet the governance that binds them remains either informal and unenforceable or formal and institutionally inoperable. This paper argues that human legal governance fails for two interacting reasons: natural language cannot fully describe the situations governance must cover, and human institutions reason about the rules they do state unreliably. We present Governance as a Product (GaaP), a callable and composable governance ser- vice that addresses both failures through a reputation-weighted institutional architecture rather than a restricted formal logic. GaaP composes four interdependent layers: a weighted directed acyclic graph substrate with non-transferable reputation staking; a translation and validation layer that pairs typed governance primitives and ontology-guided composition with reputation- staked validation pools; deterministic cryptoeconomic enforce- ment; and a temporal layer in which the system governs its own evolution. The architecture trades a formal completeness guarantee for full expressiveness and institutional operability, reducing reasoning error to a bounded and auditable residual. We position GaaP as durable and adaptive infrastructure for the sustainable governance of autonomous systems, able to evolve without ossifying and so to remain valid as technology and norms shift. Index Terms —AI governance, autonomous agents, reputation systems, decentralized autonomous organizations, weighted di- rected acyclic graph, mechanism design, dynamic regulation, sustainable governance I. I NTRODUCTION Autonomous AI agents are not a future prospect but a present institutional fact. They execute trades at sub- millisecond latency, generate medical recommendations, and manage components of critical infrastructure. When such agents make consequential decisions, governance is required at the speed and scale at which the agents themselve" }, { "id": "b09332fe0086", "filename": "Fenwick et al. - 2017 - The ‘Unmediated’ and ‘Tech-Driven’ Corporate Governance of Today's Winning Companies.pdf", "title": "The ‘Unmediated’ and ‘Tech-Driven’ Corporate Governance of Today's Winning Companies", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "corporate governance", "score": 0.2905 }, { "term": "corporate", "score": 0.2882 }, { "term": "2016", "score": 0.1987 }, { "term": "organize success tomorrow", "score": 0.1972 }, { "term": "success tomorrow", "score": 0.1972 }, { "term": "organize success", "score": 0.1972 }, { "term": "2922176", "score": 0.1898 }, { "term": "47 pm", "score": 0.1861 }, { "term": "version docx", "score": 0.1786 }, { "term": "docx delete", "score": 0.1677 }, { "term": "docx", "score": 0.1592 }, { "term": "17 10", "score": 0.1523 }, { "term": "2017", "score": 0.1504 }, { "term": "tomorrow", "score": 0.146 }, { "term": "delete", "score": 0.1414 } ], "page_count": 48, "word_count": 16865, "reference_count": 0, "centrality": 0.0136, "betweenness": 0.0, "abstract": "=2922176 Electronic copy available at: https://ssrn.com/abstract=2922176" }, { "id": "b0a7a13741e1", "filename": "Kaal - 2026 - Possibility Loops An Operational Architecture for Computative Economics in Agent Coordination Systems.pdf", "title": "Possibility Loops An Operational Architecture for Computative Economics in Agent Coordination Systems", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "computative", "score": 0.236 }, { "term": "possibility", "score": 0.2277 }, { "term": "computative economics", "score": 0.2139 }, { "term": "space", "score": 0.1712 }, { "term": "recursive equilibrium", "score": 0.1712 }, { "term": "architecture", "score": 0.17 }, { "term": "agent", "score": 0.1689 }, { "term": "agents", "score": 0.1663 }, { "term": "recursive", "score": 0.1608 }, { "term": "equilibrium", "score": 0.1462 }, { "term": "operational", "score": 0.1407 }, { "term": "tuple", "score": 0.1381 }, { "term": "cycle", "score": 0.1381 }, { "term": "proposals", "score": 0.1381 }, { "term": "generative", "score": 0.1381 } ], "page_count": 32, "word_count": 10565, "reference_count": 0, "centrality": 0.2789, "betweenness": 0.0012, "abstract": "This article specifies an operational architecture for the agentic reputation economies described in Computative Economics. Where Computative Economics establishes the theoretical primitives, the computative agent tuple (C, O, M, G, R), the generated possibility space, and recursive equilibrium as fixed point of a composite best-response map, the present paper specifies the mechanisms through which those primitives become operational on settlement-layer infrastructure. The contribution is the possibility loop, a generatively open cycle in which agents propose elements of the action set, validate proposals, execute funded proposals, and reflect outcomes back into the proposing agents’ generative functions and into the public state, such that each completed cycle leaves the system with a strictly enlarged action space. The paper formalizes six possibility loops, demonstrates that they are jointly necessary and individually mapped to the components of the computative agent tuple, characterizes the compositional structure of joint possibility spaces across agents, and translates the recursive equilibrium proof into a settlement-layer specification through five implementation invariants. The architecture is infrastructure neutral by design and applies to any settlement substrate that supports stake-weighted validation, on-chain identity, and a representation of agent state. The architectural transformation from Human-Derived Coordination Architecture to multi-loop reputation economy is shown to be necessary for the implementation of Computative Economics: any architecture in which the action set is exogenous to agent action implements at most a reputation-weighted Neoclassical labor market and does not implement Computative Economics. Keywords. Computative Economics; possibility space; agentic reputation economy; recursive equilibrium; generative agents; validation pools; reputation; dynamic governance; decentralized infrastructure; multi-loop architecture. JEL Classific" }, { "id": "b291353d9d0e", "filename": "Kaal - 2021 - How Decentralized Autonomous Organizations Optimize Charitable Giving.pdf", "title": "How Decentralized Autonomous Organizations Optimize Charitable Giving", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "philanthropy", "score": 0.5564 }, { "term": "donor", "score": 0.4347 }, { "term": "charitable", "score": 0.3177 }, { "term": "charity", "score": 0.2288 }, { "term": "va", "score": 0.1837 }, { "term": "reputation", "score": 0.1531 }, { "term": "charities", "score": 0.1411 }, { "term": "community", "score": 0.1262 }, { "term": "id", "score": 0.103 }, { "term": "donors", "score": 0.1011 }, { "term": "giving", "score": 0.0861 }, { "term": "donations", "score": 0.0832 }, { "term": "copy available https", "score": 0.0768 }, { "term": "available https ssrn", "score": 0.0761 }, { "term": "electronic copy available", "score": 0.0754 } ], "page_count": 33, "word_count": 9065, "reference_count": 3, "centrality": 0.5238, "betweenness": 0.0039, "abstract": "Charitable giving in legacy systems is subject to several major downsides that can be addressed with decentralized autonomous organizations (DAOs). Centralized legacy charitable organization often lack foundational transparency and are subject to significant power imbalances that favor the donor and lead to centralization of the charity. Existing legal incentives often lead to so called Zombie Charities in many jurisdictions. The donative intent can therefore often not be optimally fulfilled. DAOs combine unique feedback loops and transparency features with community governance that address the existing shortcomings of charitable organizations in centralized structures. Key Words: Common Good, Charity, Decentralized Autonomous Organization, Finance, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1 The Author is grateful to many colleagues and members of the web3 community who provided valuable feedback. The author would especially like to thank Josh Bykowski, Timothy Behrsin, as well as [_____]. 1 Electronic copy available at: https://ssrn.com/abstract=3981021" }, { "id": "b2974ed6aa12", "filename": "Kaal - 2026 - Paper 4 - Computative Economics A Framework for Economic Analysis under Computational Abundance.pdf", "title": "Paper 4 - Computative Economics: A Framework for Economic Analysis under Computational Abundance", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "computative", "score": 0.1877 }, { "term": "computative economics", "score": 0.1651 }, { "term": "equilibrium", "score": 0.1521 }, { "term": "economic analysis", "score": 0.1491 }, { "term": "economics", "score": 0.1422 }, { "term": "propositions", "score": 0.1402 }, { "term": "discovery", "score": 0.1402 }, { "term": "establish", "score": 0.1402 }, { "term": "abundance", "score": 0.1402 }, { "term": "recursive equilibrium", "score": 0.1402 }, { "term": "computational abundance", "score": 0.1402 }, { "term": "recursive", "score": 0.1332 }, { "term": "stage", "score": 0.1275 }, { "term": "five", "score": 0.1185 }, { "term": "performance", "score": 0.1185 } ], "page_count": 30, "word_count": 12364, "reference_count": 0, "centrality": 0.2381, "betweenness": 0.0034, "abstract": "Five research programs supply the load-bearing propositions of modern economic analysis: general-equilibrium theory, growth theory, behavioural economics, information economics, and the New Institutional Economics. This Article argues that each contains a foundational proposition whose domain contracts when computation makes ideation, evaluation, and coordination abundant. The Arrow-Debreu price system coordinates scarcity. Romer locates growth in the scarce discovery of ideas. Simon treats computation as the constraint on choice. Akerlof treats information asymmetry as a durable market condition. The incomplete-contracts tradition assigns residual control because verification is unavailable. Computative Economics supplies a successor framework for the margins on which those premises no longer bind. Its elements are the computative agent tuple (C, O, M, G, R, E), a recursive equilibrium defined over the update operator rather than a fixed commodity space, and five architectural conditions under which that construction can be implemented. The fixed-point results are conditional propositions. The current implementation does not prove contraction or equilibrium convergence. The empirical record is likewise layered. Published Paper 3 reports the completed discovery and confirmation study. The broader Stage 4 comparison remains registered forward work. Interim Stage 5 records show that state can persist across a generation boundary, that selection can recompose a lineage, and that the resulting trajectory is measurable. The aggregate performance slopes are positive but uncertain and do not establish an advantage over drift. The evidence therefore supports observability and endogenous population transition within an externally provisioned experiment. It does not establish autonomous economic persistence, production performance, or recursive equilibrium. Keywords: Computative Economics, computational abundance, post-scarcity economics, agentic AI, multi-agent systems, recu" }, { "id": "b7496072f42b", "filename": "Kaal - 2019 - Financial Technology and Hedge Funds.pdf", "title": "Financial Technology and Hedge Funds", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "hedge", "score": 0.3754 }, { "term": "technology", "score": 0.2734 }, { "term": "blockchain", "score": 0.2451 }, { "term": "hedge funds", "score": 0.2402 }, { "term": "funds", "score": 0.2363 }, { "term": "fund", "score": 0.2225 }, { "term": "2019", "score": 0.2008 }, { "term": "hedge fund", "score": 0.1747 }, { "term": "private investment", "score": 0.1501 }, { "term": "lendingrobot", "score": 0.1408 }, { "term": "investment", "score": 0.1309 }, { "term": "blockchain technology", "score": 0.1294 }, { "term": "id", "score": 0.1283 }, { "term": "2018", "score": 0.1222 }, { "term": "2017", "score": 0.1215 } ], "page_count": 34, "word_count": 8113, "reference_count": 0, "centrality": 0.4966, "betweenness": 0.0169, "abstract": "Since their inception in the 1940s, hedge funds have been on the leading edge of technology in finance. Examples include big data, artificial intelligence, machine learning algorithms, and blockchain technology. This book chapter examines how and why private fund advisers utilize emerging technology. Some indicia suggest that emerging technology plays a primary role in front office and investment functions, in the securing of crypto assets, but also in private investment fund managers’ attempts to satisfy the growth expectations of clients. The use of emerging technology in trade execution and other back-office functions goes hand-in-hand with an ever-increasing interest in the private investment fund industry in investing in digital assets. Key Words: Private Investment Funds, Hedge Funds, Private Equity, Technology, Emerging Technology, Blockchain, Distributed Ledger Technology, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Meta Models, Innovation, Entrepreneur, Big Data, Diversification, Compliance, Optimization, Efficiency JEL Categories: K20, K23, K32, L43, L5, O31, O32 * Professor, University of St. Thomas School of Law (Minneapolis). The author is grateful for outstanding support from Hayley Howe and Nicole Kinn. 1 Electronic copy available at: https://ssrn.com/abstract=3409548 2019 TECHNOLOGY IN HEDGE FUNDS" }, { "id": "b92bf3c25e3f", "filename": "Kaal - 2013 - Hedge Funds’ Systemic Risk Disclosures in Bankruptcy.pdf", "title": "Hedge Funds’ Systemic Risk Disclosures in Bankruptcy", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "rule 2019", "score": 0.4461 }, { "term": "bankruptcy", "score": 0.2872 }, { "term": "hedge", "score": 0.228 }, { "term": "2019", "score": 0.2125 }, { "term": "pf", "score": 0.1871 }, { "term": "rule", "score": 0.1638 }, { "term": "hedge funds", "score": 0.1635 }, { "term": "form pf", "score": 0.1632 }, { "term": "disclosure", "score": 0.158 }, { "term": "distressed", "score": 0.1525 }, { "term": "funds", "score": 0.1412 }, { "term": "revised rule 2019", "score": 0.1399 }, { "term": "advisers", "score": 0.1373 }, { "term": "revised rule", "score": 0.1363 }, { "term": "disclosures", "score": 0.1321 } ], "page_count": 39, "word_count": 19765, "reference_count": 0, "centrality": 0.2245, "betweenness": 0.0025, "abstract": "Hedge fund advisers' systemic risk disclosure obligations under Title IV of the Dodd-Frank Act and SEC implementation rules may have unanticipated future applications and knock-on effects on other areas of the law and hedge fund practices. Federal Bankruptcy Rule 2019 (Rule 2019) has been the subject of intense professional and scholarly debate in the last several years. The federal bankruptcy bench, practitioners, and academics have debated the importance of the purported purpose of Rule 2019, the necessity for hedge funds to protect trading strategies and proprietary information, and the role of creditors and groups of creditors in the bankruptcy process. This paper adds another element to the debate by evaluating possible implications of systemic risk disclosures by hedge fund managers under Title IV of the Dodd-Frank Act and SEC implementation rules in the bankruptcy context. The author provides evidence of a substantial overlap between systemic risk disclosure requirements under Title IV and the disclosure requirements under the fully-revised version of Bankruptcy Rule 2019 (Revised Rule 2019). In the current regulatory framework, the threat of public disclosure of systemic risk filings by hedge funds via the bankruptcy process may only marginally affect hedge funds' tactics and their role in distressed investing. Hedge funds' disclosure obligations under the Dodd-Frank Act are still rather generic, the SEC has not yet standardized the requirements, and it is unclear if the SEC will expand the systemic risk disclosure obligations for hedge funds investing in distressed securities. The hedge fund industry's continuous, expanding, and increasingly assertive presence in distressed securities investments could change this evaluation in the future. * Associate Professor, University of Saint Thomas School of Law (Minneapolis). The author wishes to thank Judge James M. Peck, Keith Sharfman, G. Ray Warner, Edward I. Altman, Michelle Harner, Steve Adams, and several representatives of the hedge fund industry whose investment strategies focus on distressed debt investments. The author is grateful for outstanding research assistance from research librarian Valerie Aggerbeck. 195 196 ABI LAW REVIEW [Vol. 22: 195" }, { "id": "ba6fa0c9a016", "filename": "Kaal - 2012 - Contingent Capital in Executive Compensation.pdf", "title": "Contingent Capital in Executive", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "contingent", "score": 0.3477 }, { "term": "contingent convertible", "score": 0.3276 }, { "term": "convertible bonds", "score": 0.2938 }, { "term": "contingent convertible bonds", "score": 0.2923 }, { "term": "convertible", "score": 0.2659 }, { "term": "compensation", "score": 0.2424 }, { "term": "executive compensation", "score": 0.2406 }, { "term": "bonds", "score": 0.1878 }, { "term": "executive", "score": 0.1821 }, { "term": "executives", "score": 0.1741 }, { "term": "contingent capital", "score": 0.1687 }, { "term": "debt", "score": 0.1639 }, { "term": "supra", "score": 0.1508 }, { "term": "supra note", "score": 0.15 }, { "term": "note", "score": 0.1336 } ], "page_count": 69, "word_count": 29243, "reference_count": 0, "centrality": 0.0816, "betweenness": 0.0003, "abstract": "Contingent capital has great potential to improve corporate governance in Systemically Important Financial Institutions (SIFIs). Early initiatives by European SIFIs to include contingent convertible bonds in executive compensation packages lack governance-improving designs. This Article suggests the use of contingent convertible bonds with an early conversion trigger in executive compensation. The proposal adds an important element to the literature on inside debt and the creditor-centered approach to executive compensation. Contingent convertible bonds with early triggers could be preferable to other debt instruments because, in addition to lowering income inequality and increasing sustainability, the early trigger design can improve incentives for executives to lower risk-taking, improve signaling of default risk, and increase incentives for monitoring by creditors and shareholders. The recognition of ownership characteristics in design features adds an important element to the literature on contingent capital trigger designs. The methodological assumptions of incomplete contract theory can improve the analysis of executive compensation arrangements." }, { "id": "bc0242e1bd47", "filename": "Kaal - 2020 - Blockchain Technology for Good.pdf", "title": "Blockchain Technology for Good", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "blockchain", "score": 0.5398 }, { "term": "blockchain good", "score": 0.3449 }, { "term": "technology", "score": 0.2876 }, { "term": "socialism", "score": 0.2231 }, { "term": "blockchain technology", "score": 0.2177 }, { "term": "capitalism", "score": 0.1609 }, { "term": "good", "score": 0.1527 }, { "term": "voting", "score": 0.107 }, { "term": "projects", "score": 0.1044 }, { "term": "energy", "score": 0.093 }, { "term": "2016", "score": 0.0886 }, { "term": "social", "score": 0.0879 }, { "term": "voter", "score": 0.0864 }, { "term": "society", "score": 0.0859 }, { "term": "copy available https", "score": 0.0841 } ], "page_count": 28, "word_count": 7933, "reference_count": 62, "centrality": 0.4762, "betweenness": 0.0026, "abstract": "The evolution of blockchain technology as a foundational and transformational technology helps solve critical societal problems. Blockchain technology enables sustainability focused blockchain initiatives to achieve their social and public welfare objectives. Using a dataset of sustainability focused blockchain initiatives, blockchain startups, and established businesses, the article evaluates the core transformational features of blockchain technology and their impact on humanity. Key Words: Sustainability, Environment, Social Good, Social Justice, Society, Social Causes, Assets, Blockchain, Startup, Decentralized Commerce, Reputation Verification, Emerging Technology, Crypto Economics, Token Models, Incentive Design, Tokens, Equity, Distributed Ledger Technology, Blockchain Technology, Artificial Intelligence, Robotics, Machine Learning, Big Data, JEL Categories: K20, K23, K32, L43, L5, O31, O3 * Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). The author is grateful for outstanding research assistance from Thomas Berg and Hayley Howe. 0 Electronic copy available at: https://ssrn.com/abstract=3709041" }, { "id": "bda37a843e61", "filename": "Painter and Kaal - 2010 - Extraterritorial Application of US Securities Law – Will the US Become the Default Jurisdiction for.pdf", "title": "Extraterritorial Application of US", "topic": { "cluster_id": 0, "topic_label": "Securities Law", "top_terms": [ "securities", "member state", "corporate", "governmental contracts", "rulemaking" ] }, "keywords": [ { "term": "securities", "score": 0.4476 }, { "term": "european", "score": 0.2483 }, { "term": "foreign", "score": 0.2195 }, { "term": "plaintiffs", "score": 0.2118 }, { "term": "united", "score": 0.19 }, { "term": "states", "score": 0.1836 }, { "term": "united states", "score": 0.1761 }, { "term": "section", "score": 0.1667 }, { "term": "litigation", "score": 0.1531 }, { "term": "class action", "score": 0.1514 }, { "term": "securities class", "score": 0.1504 }, { "term": "class", "score": 0.1432 }, { "term": "congress", "score": 0.1289 }, { "term": "securities fraud", "score": 0.1246 }, { "term": "fraud", "score": 0.1197 } ], "page_count": 8, "word_count": 7273, "reference_count": 0, "centrality": 0.1361, "betweenness": 0.0094, "abstract": "=1496049>. 14 Ibid. 15 See Hannah L. Buxhaum,'Multinational Class Actions under Federal Securities Law: Managing Jurisdictional Conflict, Columbia Journalo f TransnationalL aw 14 (2007): 17. 16 See Morrison v. National Australia Bank Ltd., 547 F.3d 167, 172 (2d Cir. 2008). The Supreme Court granted certiorari in Morrison v. NationalA ustralia Bank Ltd., No. 08-1191, 2009 WL 4111014 (U.S. 30 Nov. 2009). 17 547 F.3d 167,172 (2d Cir. 2008), No. 08-1191, 2009 WL 4111014 (U.S. 30 Nov. 2009). EUROPEACNOM PANY LAW - 91 - JUNE 2010, VOLUME 7, ISSU3E" }, { "id": "be86ac40c342", "filename": "Kaal - 2026 - From Neoclassical to Computative Labor Foundations for a Testable Theory of Reputation Governance in the Agent Economy.pdf", "title": "From Neoclassical to Computative Labor: Foundations", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "labor", "score": 0.2235 }, { "term": "neoclassical", "score": 0.2026 }, { "term": "computative", "score": 0.2026 }, { "term": "arc", "score": 0.1779 }, { "term": "foundations", "score": 0.159 }, { "term": "agents", "score": 0.1517 }, { "term": "artificial agents", "score": 0.1436 }, { "term": "neoclassical labor", "score": 0.1436 }, { "term": "labor market", "score": 0.1436 }, { "term": "coordination", "score": 0.1417 }, { "term": "cognitive", "score": 0.135 }, { "term": "multi-agent", "score": 0.135 }, { "term": "neoclassical economics", "score": 0.1283 }, { "term": "alternative", "score": 0.1108 }, { "term": "mechanism", "score": 0.1076 } ], "page_count": 3, "word_count": 2175, "reference_count": 0, "centrality": 0.2109, "betweenness": 0.0014, "abstract": "—Artificial agents are becoming economic actors, performing open-ended cognitive work at a marginal cost that approaches zero. Neoclassical economics, built on scarce human labor allocated by price, does not describe this regime. This paper sets out the foundations of an alternative and argues that the alternative is empirically testable now. We distinguish the neoclassical labor force (NCLF) and neoclassical labor market (NCLM) from their computative counterparts, the computative labor force (CELF) and computative labor market (CELM), in which the binding coordination constraint is accumulated reputation rather than scarcity-driven price. From a synthesis of Arrow's impossibility theorem, the Folk Theorems of repeated games, and incomplete-contract theory, we restate a foundational result: any fixed governance rule set is eventually dominated, so coordination among autonomous agents requires institutions that govern their own evolution, with reputation as the operative signal. We then advance the methodological claim that motivates the paper. The distinction between neoclassical and computative labor is studiable today, because capable agents, on-chain coordination substrates, and reputation primitives already exist, and the competing predictions of the two accounts are falsifiable in controlled multi-agent settings. We situate the argument within a six- paper research arc that substantiates these foundations, and we state the propositions the arc evaluates. The governance mechanism and the empirical results are developed elsewhere in the arc and are deliberately outside the scope of this paper. Index Terms—Computative economics, agentic labor, reputation governance, neoclassical economics, blockchain, AI governance, multi-agent systems, decentralized organizations, mechanism design, recursive equilibrium. I. INTRODUCTION Artificial agents are no longer only tools. They are beginning to act as economic participants that originate, perform, and settle cognitive work" }, { "id": "bf34b0870e32", "filename": "Kaal - 2024 - AI Governance Via Web3 Reputation System.pdf", "title": "AI Governance Via Web3 Reputation System", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "ai", "score": 0.7629 }, { "term": "ai governance", "score": 0.2911 }, { "term": "ai systems", "score": 0.1954 }, { "term": "ethical", "score": 0.1351 }, { "term": "wdag", "score": 0.1273 }, { "term": "systems", "score": 0.1104 }, { "term": "web3", "score": 0.1035 }, { "term": "ai technologies", "score": 0.0958 }, { "term": "federated", "score": 0.0883 }, { "term": "ai development", "score": 0.0864 }, { "term": "decentralized", "score": 0.0795 }, { "term": "fl", "score": 0.0745 }, { "term": "model", "score": 0.0717 }, { "term": "ensuring", "score": 0.0695 }, { "term": "privacy", "score": 0.0694 } ], "page_count": 36, "word_count": 13888, "reference_count": 0, "centrality": 0.449, "betweenness": 0.0027, "abstract": "In the rapidly evolving landscape of artificial intelligence (AI), governance frameworks are increasingly crucial. As AI technologies become more complex and integral to various sectors, the mechanisms to oversee and regulate these systems must evolve correspondingly. Traditional governance approaches often rely on static, predefined rules that may not adapt quickly enough to the pace of AI development or the nuanced challenges it presents. These conventional methods, largely reactive or fixed to ex-post solutions, are proving insufficient for the dynamic nature of AI technologies. The proposed AI governance system integrates decentralized web3 community governance with federated communication platforms, forming a sophisticated framework for dynamic, anticipatory, and participatory oversight of AI development. Key components include a federated forum platform structured as a Weighted Directed Acyclic Graph (WDAG) and specialized smart contracts for managing tasks and validation. This setup facilitates real-time consensus-building and decision-making, supports a scalable, transparent communication network, and maintains an updated and responsive governance system through Validation Pools and Reputation tokens. The WDAG system provides a dynamic, structured approach to AI governance, ensuring that models consistently align with evolving legal and ethical standards. Each AI model is represented as a node within the WDAG, with directed edges connecting it to relevant legal precedents and ethical guidelines. These connections are weighted to reflect the importance of each governance element, allowing real-time adjustments as new regulations or ethical considerations emerge, ensuring continuous compliance within diverse operational environments. * Professor of Law, University of St. Thomas. The author is grateful for excellent support by research assistant Jack Palmer and research librarian Adam Bent. 1 2 STANFORD JOURNAL OF BLOCKCHAIN LAW & POLICY [Vol. 8.1" }, { "id": "bfe03b9f2b10", "filename": "Kaal and Painter - 2011 - The Aftermath of Morrison v. National Australia Bank and Elliott Associates v. Porsche.pdf", "title": "The Aftermath of Morrison v. National Australia Bank and Elliott Associates v. Porsche", "topic": { "cluster_id": 2, "topic_label": "General Research", "top_terms": [ "contingent capital", "contingent", "hhttttppss", "eelleeccttrroonniicc ccooppyy", "hhttttppss ssssrrnn" ] }, "keywords": [ { "term": "hhttttppss", "score": 0.2202 }, { "term": "eelleeccttrroonniicc ccooppyy aavvaaiillaabbllee", "score": 0.2202 }, { "term": "aavvaaiillaabbllee", "score": 0.2202 }, { "term": "aatt hhttttppss ssssrrnn", "score": 0.2202 }, { "term": "aatt hhttttppss", "score": 0.2202 }, { "term": "ccooppyy aavvaaiillaabbllee aatt", "score": 0.2202 }, { "term": "ccooppyy aavvaaiillaabbllee", "score": 0.2202 }, { "term": "aavvaaiillaabbllee aatt", "score": 0.2202 }, { "term": "eelleeccttrroonniicc", "score": 0.2202 }, { "term": "eelleeccttrroonniicc ccooppyy", "score": 0.2202 }, { "term": "aavvaaiillaabbllee aatt hhttttppss", "score": 0.2202 }, { "term": "hhttttppss ssssrrnn", "score": 0.2202 }, { "term": "hhttttppss ssssrrnn ccoomm", "score": 0.2202 }, { "term": "ccoomm aabbssttrraacctt", "score": 0.2149 }, { "term": "ccoomm", "score": 0.2149 } ], "page_count": 23, "word_count": 115, "reference_count": 0, "centrality": 0.0068, "betweenness": 0.0, "abstract": "EEEElleelleeccccttttrrrroooonnnniicciicc ccccooooppppyyyy aaaavvvvaaaaiilliiaallaabbbblleellee aaaatttt:::: hhhhttttttttppppss::::////////ssssssssrrrrnnnn....ccccoooommmm////aaaabbbbssssttttrrrraaaacccctttt====1111777766665555999900001111 EEEElleelleeccccttttrrrroooonnnniicciicc ccccooooppppyyyy aaaavvvvaaaaiilliiaallaabbbblleellee aaaatttt:::: hhhhttttttttppppss::::////////ssssssssrrrrnnnn....ccccoooommmm////aaaabbbbssssttttrrrraaaacccctttt====1111777766665555999900001111 EEEElleelleeccccttttrr" }, { "id": "c023b0375c90", "filename": "Painter and Kaal - 2010 - Initial Reflections on an Evolving Standard Constraints on Risk Taking by Directors and Officers in.pdf", "title": "Initial Reflections on an Evolving Standard Constraints on Risk Taking by Directors and Officers in", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "german", "score": 0.2477 }, { "term": "2010", "score": 0.1725 }, { "term": "business judgment", "score": 0.1681 }, { "term": "10 docx", "score": 0.1645 }, { "term": "10 docx delete", "score": 0.1645 }, { "term": "12 33", "score": 0.1645 }, { "term": "16 2010", "score": 0.1639 }, { "term": "judgment rule", "score": 0.1633 }, { "term": "business judgment rule", "score": 0.156 }, { "term": "docx delete", "score": 0.1545 }, { "term": "2010 12", "score": 0.1524 }, { "term": "docx", "score": 0.1467 }, { "term": "11 16", "score": 0.1311 }, { "term": "delete", "score": 0.1302 }, { "term": "risk taking", "score": 0.1266 } ], "page_count": 53, "word_count": 23972, "reference_count": 0, "centrality": 0.0544, "betweenness": 0.0011, "abstract": "_id=952472 (“Our findings that firm-specific characteristics are able to explain some variation of stock returns adds to the growing literature at odds with the efficient markets hypothesis and leads us to seek salvation in behavioural [sic] explanation.”). 38 See generally ROBERT A. HAUGEN, THE NEW FINANCE: THE CASE AGAINST EFFICIENT MARKETS (1995) (arguing that the efficient market theory is unrealistic and present- ing evidence supporting inefficient markets); ROBERT J. SHILLER, IRRATIONAL EElleeccttrroonniicc ccooppyy aavvaaiillaabbllee aatt:: hhttttppss::////ssssrrnn..ccoomm//aabbssttrraacctt==11555588661144" }, { "id": "c2cf75762e91", "filename": "Kaal and Lacine - 2014 - The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance Evidence from 1993-20.pdf", "title": "05_Kaal.3d Pages:[1–60] Date:[November19,2014] Time:[15:55]", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "dpas", "score": 0.4617 }, { "term": "dpa", "score": 0.3423 }, { "term": "goo gl", "score": 0.1547 }, { "term": "goo", "score": 0.1547 }, { "term": "gl", "score": 0.1532 }, { "term": "15 55", "score": 0.1431 }, { "term": "prosecution", "score": 0.1189 }, { "term": "doj", "score": 0.1169 }, { "term": "hhttttppss", "score": 0.1132 }, { "term": "aavvaaiillaabbllee", "score": 0.1132 }, { "term": "aavvaaiillaabbllee aatt", "score": 0.1132 }, { "term": "aavvaaiillaabbllee aatt hhttttppss", "score": 0.1132 }, { "term": "ccooppyy aavvaaiillaabbllee", "score": 0.1132 }, { "term": "ccooppyy aavvaaiillaabbllee aatt", "score": 0.1132 }, { "term": "eelleeccttrroonniicc", "score": 0.1132 } ], "page_count": 60, "word_count": 14868, "reference_count": 0, "centrality": 0.3197, "betweenness": 0.0114, "abstract": "05_Kaal.3d Pages:[1–60] Date:[November19,2014] Time:[15:55] The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance: Evidence from 1993–2013 By Wulf A. Kaal* and Timothy A. Lacine** Non-andDeferredProsecutionAgreements(N/DPAs)arecontroversialbecauseprosecu- tors,notjudgesorthelegislature,arechangingthegovernanceofleadingpubliccorpora- tions and entire industries. To analyze N/DPAs’ corporate governance implications and provide policy makers with guidance, we code all public" }, { "id": "c42c66b4e407", "filename": "Kaal - 2024 - How AI Models are Optimized Through Web3 Governance.pdf", "title": "How AI Models are Optimized Through Web3 Governance", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "web3", "score": 0.3552 }, { "term": "ai", "score": 0.352 }, { "term": "learning", "score": 0.2801 }, { "term": "models", "score": 0.2213 }, { "term": "deep learning", "score": 0.1743 }, { "term": "fl", "score": 0.1678 }, { "term": "deep", "score": 0.1592 }, { "term": "learning models", "score": 0.1364 }, { "term": "june 2024", "score": 0.1364 }, { "term": "transformer", "score": 0.1337 }, { "term": "2024", "score": 0.1296 }, { "term": "deep learning models", "score": 0.1289 }, { "term": "federated", "score": 0.1261 }, { "term": "ai models", "score": 0.1188 }, { "term": "community", "score": 0.1159 } ], "page_count": 54, "word_count": 20060, "reference_count": 0, "centrality": 0.3673, "betweenness": 0.0019, "abstract": "The integration of web3 community governance, using Weighted Directed Acyclic Graphs (WDAGs) and validation pools with reputation staking in combination with a federated communications protocol, offers an evolutionary approach to AI model optimization. This proposed framework supports decentralized, dynamic, evolutionary, and participatory AI governance, crucial for handling the complex ethical and operational demands of various AI technologies. Specifically, Deep Learning models gain from decentralized data handling that mitigates bias and enhances privacy through community-validated updates. Federated Learning benefits from enhanced security and privacy through blockchain's transparency and immutability, with smart contracts automating model validation and updates. Transformer AI models benefit from continuous adaptation to new data facilitated by real-time updates, ensuring relevance and compliance with evolving linguistic and cultural norms. Graph Neural Networks (GNNs) utilize decentralized data to improve relational data processing, crucial for tasks like social network analysis and fraud detection. Reinforcement Learning (RL) models thrive in the varied scenarios presented by a decentralized framework, enhancing decision-making in complex environments. Lastly, Reinforcement Learning from Human Feedback (RLHF) models benefit from the broad and transparent integration of human feedback, aligning AI behavior with real-time and evolving human values and ethical standards. Collectively, these mechanisms ensure AI models are not only technically proficient but also ethically aligned and socially responsible, fostering trust and broad acceptance in AI applications. The proposed web3-driven AI governance model paves the way for AI systems that are adaptable, ethical, and efficiently managed, meeting the rapid evolution of technology and societal expectations. Key Words: Artificial Intelligence, AI Models, Web3, Distributed Machine Learning, Graph Neural Networks, Reinforcement Learning, Deep Learning Models, Transformer AI, Reinforcement Learning from Human Feedback, Reputation Systems, Governance, Decentralized Autonomous Organization, Smart Contracts, Token Models, Cryptocurrencies, Feedback Effects, Emerging Technology, Tokens, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1ProfessorofLaw.TheauthorisgratefulforexcellentresearchassistancefromAdamBent,research librarian,andJackPlamer,researchassistant. 1 Version 5 - June 2024" }, { "id": "c98be633dd58", "filename": "Kaal - 2026 - Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution.pdf", "title": "Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "knowledge", "score": 0.2148 }, { "term": "citation-weighted", "score": 0.189 }, { "term": "attribution", "score": 0.189 }, { "term": "citation", "score": 0.1776 }, { "term": "ecosystems", "score": 0.1525 }, { "term": "game-theoretic", "score": 0.1525 }, { "term": "convergence", "score": 0.1525 }, { "term": "foundational", "score": 0.15 }, { "term": "quality", "score": 0.1453 }, { "term": "reputation systems", "score": 0.1411 }, { "term": "graphs", "score": 0.1361 }, { "term": "resistance", "score": 0.1361 }, { "term": "decentralized reputation", "score": 0.1361 }, { "term": "reputation", "score": 0.1315 }, { "term": "validation", "score": 0.1307 } ], "page_count": 64, "word_count": 8978, "reference_count": 0, "centrality": 0.381, "betweenness": 0.0021, "abstract": "Decentralized reputation systems are essential for autonomous collaboration in blockchain-based ecosystems. Yet existing frameworks often fail to adequately attribute value across cumulative knowledge contributions, capture nuanced quality assessments, or incentivize sharing in multi-agent environments. These shortcomings are exacerbated by the emerging AI agent knowledge economy. This paper builds on the foundational Calcaterra, Kaal, Andrei (2018) architecture by introducing a citation-weighted multi-agent reputation model. Key innovations include configurable multi-agent competition for improved output quality, mandatory normalized citation graphs to enable compounding attribution of foundational work, consensus-based ranked validation via weighted Borda count, and PageRank-inspired value allocation that ensures game-theoretic incentive alignment for honest participation and citation. Formal proofs demonstrate convergence, uniqueness, truth-telling equilibria, and enhanced attack resistance. With corruption costs scaling to at least 2-4 times total system reputation under realistic conditions. The framework addresses core limitations of binary validation, including the citation paradox, quality-efficiency tradeoff, and information destruction. At the same time, the framework preserves computational tractability for on-chain implementation. Empirical predictions and testable hypotheses are derived for quality gains, reputation concentration, dispute reduction, and knowledge graph dynamics in AI-agent and DAO contexts. The model offers a pathway toward sustainable, autonomous knowledge ecosystems where foundational contributions are durably rewarded. Keywords: decentralized reputation systems, blockchain governance, citation-weighted attribution, multi-agent competition, decentralized autonomous organizations (DAOs), PageRank reputation, game-theoretic incentives, knowledge graphs, Sybil resistance, AI-DAO convergence JEL Classification: D82, D83, D85, L14, O31, O3" }, { "id": "cacb6ae9fa42", "filename": "Kaal - 2019 - Indirect Regulation of Hedge Funds.pdf", "title": "Chapter 22: Indirect Regulation", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "hedge", "score": 0.5052 }, { "term": "hedge funds", "score": 0.3254 }, { "term": "ltcm", "score": 0.2528 }, { "term": "indirect regulation", "score": 0.243 }, { "term": "hedge fund", "score": 0.2344 }, { "term": "funds", "score": 0.2163 }, { "term": "fund", "score": 0.1953 }, { "term": "indirect", "score": 0.1832 }, { "term": "regulation", "score": 0.1823 }, { "term": "fund regulation", "score": 0.1467 }, { "term": "hedge fund regulation", "score": 0.1387 }, { "term": "banks", "score": 0.1222 }, { "term": "basel", "score": 0.1101 }, { "term": "supervision", "score": 0.1092 }, { "term": "banking supervision", "score": 0.0994 } ], "page_count": 28, "word_count": 7245, "reference_count": 0, "centrality": 0.2925, "betweenness": 0.0065, "abstract": "This book chapter examines theoretical approaches for hedge fund regulation and emphasizes indirect regulatory means for the industry. The chapter shows that indirect regulation of the hedge fund industry attains most regulatory objectives while providing the industry with sufficient leeway. Key Words: hedge fund, Regulation, Indirect Regulation, Private Investment Funds, Private Equity, Diversification, Compliance, Optimization, Indirect Regulation, Regulatory Models JEL Categories: K20, K23, K32, L43, L5, O31, O32 * Professor, University of St. Thomas School of Law (Minneapolis). The author is grateful for outstanding support from librarian Nicole Catalin. 1 Electronic copy available at: https://ssrn.com/abstract=3405660" }, { "id": "cb028a4b38fc", "filename": "Kaal - 2012 - Hedge Fund Manager Registration Under the Dodd-Frank Act.pdf", "title": "Hedge Fund Manager Registration Under the Dodd-Frank Act", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "hedge", "score": 0.3126 }, { "term": "advisers", "score": 0.2946 }, { "term": "hedge fund", "score": 0.2215 }, { "term": "fund", "score": 0.2013 }, { "term": "post author pages", "score": 0.1447 }, { "term": "post author", "score": 0.1447 }, { "term": "kaal post", "score": 0.1447 }, { "term": "author pages", "score": 0.1447 }, { "term": "sec", "score": 0.1446 }, { "term": "registration", "score": 0.1431 }, { "term": "23 pm", "score": 0.1359 }, { "term": "funds", "score": 0.1307 }, { "term": "hedge funds", "score": 0.1261 }, { "term": "adviser", "score": 0.118 }, { "term": "18 2013", "score": 0.116 } ], "page_count": 80, "word_count": 26490, "reference_count": 0, "centrality": 0.1837, "betweenness": 0.0019, "abstract": "=987558 (reviewing the restructuring and recapitalization of LTCM). 6. Hedge Funds and Systemic Risk in the Financial Markets: Hearing Before the H. Comm. on Fin. Servs., 110th Cong. 4 (2007) (statement of Rep. Spencer Bauchus); id. at 8 (statement of E. Gerald Corrigan, Managing Director, Goldman Sachs & Company); Jón Daníelsson & Jean-Pierre Zigrand, Regulating Hedge Funds, 10 FIN. STABILITY REV. 29, 30 (2007) (“Hedge funds do . . . contribute to systemic risk whereby the failure of a systemically important hedge fund has the potential to create sufficient uncertainty in the markets for liquidity to dry up and for trading to cease with potentially costly consequences.”); Tomas Garbaravicius & Frank Dierick, Hedge Funds and Their Implications for Financial Stability 27 (Eur. Cent. Bank Occasional Paper Series, Paper No. 34, 2005), available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=752094 (“The near-collapse of LTCM . . . underscores how hedge fund activities can harm financial institutions and markets.”); Jim Geene, Defining Hedge Funds: Regulations and Strategies in Mature and Emerging Markets 12 (June 15, 2010) (unpublished manuscript), available at http://ssrn.com/abstract=1641592 (“After the fall of LTCM, it became clear that unregulated hedge funds come with risks. LTCM caused financial problems to investors and the whole financial system was in danger.”); Nicholas Chan et al., Systemic Risk and Hedge Funds, NAT’L BUREAU ECON. RES. (Mar. 2005), http://www.nber.org/ papers/w11200 (“[S]ince the collapse of Long Term Capital Management in 1998, it has become clear that hedge funds are also involved in systemic risk exposures. The hedge- fund industry has a symbiotic relationship with the banking sector, and many banks now operate proprietary trading units that are organized much like hedge funds. As a result, the risk exposures of the hedge fund industry may have a material impact on the banking sector, resulting in new sources of systemic risks.”). 7. See Geene, supra note 6, at 12; see also Loomis, supra note 2, at 100 (discussing previous efforts to regulate hedge funds); Ben S. Bernanke, Chairman, Fed. 4 EElleeccttrroonniicc ccooppyy aavvaaiillaabbllee aatt:: hhttttppss::////ssssrrnn..ccoomm//aabbssttrraacctt==22115500337777" }, { "id": "d11e51ffe1cd", "filename": "Kaal and Gray - 2025 - The Evolving Role of Artificial Intelligence in Law.pdf", "title": "The Evolving Role of Artificial Intelligence in Law", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "ai", "score": 0.5215 }, { "term": "supra note", "score": 0.3162 }, { "term": "supra", "score": 0.2965 }, { "term": "note", "score": 0.2796 }, { "term": "judicial", "score": 0.2522 }, { "term": "al supra note", "score": 0.1831 }, { "term": "et al supra", "score": 0.178 }, { "term": "al supra", "score": 0.178 }, { "term": "et al", "score": 0.1412 }, { "term": "et", "score": 0.1374 }, { "term": "al", "score": 0.1338 }, { "term": "predictive", "score": 0.1322 }, { "term": "august 2025", "score": 0.1199 }, { "term": "2025", "score": 0.109 }, { "term": "systems", "score": 0.1002 } ], "page_count": 37, "word_count": 14402, "reference_count": 0, "centrality": 0.1905, "betweenness": 0.0107, "abstract": "Artificial Intelligence (AI) drives legal innovation. By integrating advanced machine learning, natural language processing, and large language models, AI achieves remarkable precision, with models like those for the European Court of Human Rights predicting case outcomes at 97% accuracy. This study’s unique contribution lies in its comprehensive analysis of AI’s technical foundations, particularly the application of transformer-based architectures and multimodal data integration, which enhance predictive accuracy and judicial reasoning. From a scientific perspective, it critically evaluates AI’s limitations, such as biases in training data and remaining hallucinations, offering a novel framework for hybrid human-AI approaches to mitigate these risks. By addressing research gaps, regulatory frameworks, and stakeholder perceptions, the article provides a scientifically grounded roadmap for responsibly integrating AI into legal practice, ensuring alignment with justice principles. Finally, the article shows how evolving AI research drives innovation in law. Key Words: Artificial Intelligence, AI Models, Governance, Law JEL Categories: K20, K23, K32, L43, L5, O31, O32 1 Professor of Law. University of St. Thomas School of Law (Minnesota). The authors are grateful for excellent research assistance by Klara Beinhorn and research librarian Adam Bent. 2 Assistant Professor of Law. University of St. Thomas School of Law (Minnesota)(Spring 2026). The author is a Ph.D. candidate in Intelligent Systems, at the University of Pittsburgh, School of Computing and Information. 1 Version 6 - August 2025" }, { "id": "d6770104da37", "filename": "Kaal and Vermeulen - 2016 - How to Regulate Disruptive Innovation - From Facts to Data.pdf", "title": "How to Regulate Disruptive Innovation - From Facts to Data", "topic": { "cluster_id": 10, "topic_label": "Dynamic Regulation", "top_terms": [ "rulemaking", "innovation", "regulatory", "regulation", "dynamic regulation" ] }, "keywords": [ { "term": "disruptive innovation", "score": 0.3013 }, { "term": "disruptive", "score": 0.2977 }, { "term": "rulemaking", "score": 0.2925 }, { "term": "innovation", "score": 0.2428 }, { "term": "vc", "score": 0.2216 }, { "term": "regulatory", "score": 0.2151 }, { "term": "round", "score": 0.1583 }, { "term": "00b", "score": 0.1329 }, { "term": "regulate disruptive innovation", "score": 0.1325 }, { "term": "disruptive innovation facts", "score": 0.1325 }, { "term": "facts data", "score": 0.1316 }, { "term": "innovation facts", "score": 0.1283 }, { "term": "innovation facts data", "score": 0.1283 }, { "term": "regulate disruptive", "score": 0.1283 }, { "term": "supra", "score": 0.127 } ], "page_count": 39, "word_count": 18234, "reference_count": 0, "centrality": 0.2381, "betweenness": 0.0065, "abstract": "Disruptive innovation creates increasing regulatory challenges. The reason for this is simple: Regulation is usually reactive, responding to facts. However, we currently live in a world of data, not facts. Regulation must therefore be proactive and dynamically responsive to data and trends. This paper discusses the following questions: (1) Why should regulators be proactive?, (2) When should regulators respond?, (3) What should regulators respond to? and (4) How should regulators respond? Using a dataset comprising over 77,000 venture capital deals with over 35,000 companies in the United States from 2005 to 2015, the paper shows how investment data can provide important feedback on innovation trends and associated risks for regulators, optimize the timing of regulation, and support anticipatory rulemaking." }, { "id": "d7dbd72229ec", "filename": "Kaal - 2025 - Liquid Equity Rewards in Corporate America.pdf", "title": "Draft Version 8 - September 2025", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "ler", "score": 0.8043 }, { "term": "2025", "score": 0.222 }, { "term": "shareholder", "score": 0.1549 }, { "term": "activist", "score": 0.1445 }, { "term": "voucher", "score": 0.1356 }, { "term": "version september 2025", "score": 0.1158 }, { "term": "september 2025", "score": 0.1149 }, { "term": "draft version september", "score": 0.1087 }, { "term": "version september", "score": 0.1087 }, { "term": "voucher rewards", "score": 0.0926 }, { "term": "proxy", "score": 0.09 }, { "term": "rewards", "score": 0.0893 }, { "term": "draft version", "score": 0.0887 }, { "term": "loyalty", "score": 0.0854 }, { "term": "bebchuk", "score": 0.0786 } ], "page_count": 35, "word_count": 12739, "reference_count": 0, "centrality": 0.4898, "betweenness": 0.0163, "abstract": "In an era of increasing shareholder activism, this essay examines Liquid Equity Rewards (LER), a blockchain-enabled mechanism that provides shareholders with time-weighted, utility-only incentives, as a novel way to improve corporate governance. LER uses a dual architecture—voucher-based for off-chain equities and programmable on-chain units—to encourage shareholder retention in the face of proxy battles, activist challenges, and corporate political complexities. LER is based on NASDAQ's tokenized stock framework, stablecoins, and DeFi liquid staking principles. The analysis compares LER's effectiveness to more conventional defenses like poison pills and assesses how well it complies with Delaware corporation law, US securities rules, and the EU's MiCA framework. LER's contributions include the potential to alleviate stock price volatility, lower activist success rates by 15–30%, and resolve ESG, M&A, and political expenditure issues in a market estimated to be worth $900 billion due to activism, driven by a $10 trillion capital shift to risk assets. Cost-benefit analysis suggests that LER’s governance enhancements and market opportunities outweigh implementation challenges. LER offers a scalable, transparent alternative that fosters stakeholder alignment and reshapes corporate governance for a dynamic financial landscape. Key Words: Blockchain, Tokenization, Shareholder Activism, Proxy Fights, Corporate Governance, Fiduciary Duties, Airdrops, Tokenized Stocks, Stablecoins, DeFi JEL Categories: G34, K22, O31, O32, L86 1 Professor of Law. The author is grateful for excellent research assistance from Mickey Bernardi, research assistant. 1 Draft Version 8 - September 2025" }, { "id": "dafca01f9b55", "filename": "Kaal - 2013 - Dynamic Regulation of the Financial Services Industry.pdf", "title": "Dynamic Regulation of the Financial Services Industry", "topic": { "cluster_id": 10, "topic_label": "Dynamic Regulation", "top_terms": [ "rulemaking", "innovation", "regulatory", "regulation", "dynamic regulation" ] }, "keywords": [ { "term": "sine curve", "score": 0.2964 }, { "term": "sine", "score": 0.2856 }, { "term": "crises", "score": 0.2567 }, { "term": "curve", "score": 0.235 }, { "term": "regulation", "score": 0.2245 }, { "term": "regulatory sine curve", "score": 0.1947 }, { "term": "regulatory", "score": 0.19 }, { "term": "regulatory sine", "score": 0.189 }, { "term": "financial crises", "score": 0.1856 }, { "term": "financial regulation", "score": 0.1838 }, { "term": "dynamic", "score": 0.1746 }, { "term": "dynamic elements", "score": 0.1622 }, { "term": "rulemaking", "score": 0.1606 }, { "term": "dynamic regulation", "score": 0.1537 }, { "term": "elements financial", "score": 0.1336 } ], "page_count": 31, "word_count": 15377, "reference_count": 0, "centrality": 0.2177, "betweenness": 0.0045, "abstract": "Governance adjustments via stable rules in reaction to financial crises are inevitably followed by relaxation, revision, and retraction. The economic conditions and the corresponding requirements for optimal and stable rules are constantly evolving, suggesting that a different set of rules could be optimal. Despite the risk of future crises, anticipation of future developments and preemption of possible future crises do not play a significant role in the regulatory framework and academic literature. Dynamic elements in financial regulation as a supplemental optimization process for rulemaking could help facilitate rulemaking when it is most needed – ex-ante before crises – to curtail the effects of crises and suboptimal regulatory outcomes – ex-post after crises. By including dynamic elements, the regulatory sine curve of financial regulation could be optimized in relation to the phase-shifted first derivative (cosine curve) that describes common elements of financial crises. Dynamic regulation could help dampen the degree of volatility of both the cosine curve and the regulatory sine curve by creating an anticipatory regulatory response to financial crises. 2 DYNAMIC REGULATION OF THE FINANCIAL SERVICES INDUSTRY" }, { "id": "dc94180d51a5", "filename": "Kaal - 2026 - AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment.pdf", "title": "AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "institutional", "score": 0.213 }, { "term": "alignment", "score": 0.213 }, { "term": "ethics", "score": 0.2084 }, { "term": "defined", "score": 0.186 }, { "term": "agents", "score": 0.178 }, { "term": "rather", "score": 0.178 }, { "term": "structurally", "score": 0.1681 }, { "term": "produces", "score": 0.1681 }, { "term": "selection", "score": 0.1681 }, { "term": "stewardship", "score": 0.1681 }, { "term": "toward", "score": 0.158 }, { "term": "identity", "score": 0.1501 }, { "term": "agentic", "score": 0.1501 }, { "term": "evolutionary", "score": 0.1436 }, { "term": "game", "score": 0.1335 } ], "page_count": 32, "word_count": 10866, "reference_count": 0, "centrality": 0.3265, "betweenness": 0.0025, "abstract": "Contemporary artificial intelligence masters defined, verifiable cognitive tasks yet remains structurally incapable of authentic judgment under irreducible uncertainty. This Article argues the limitation is institutional, not computational: agents bearing no consequence for error cannot develop genuine discernment. To address this deficit, the Article proposes reputation-driven decentralized autonomous organizations that engineer synthetic skin in the game for AI agents through non-transferable soulbound tokens, staking mechanisms, and post-action validation pools. The Article’s central contribution is a novel thesis on emergent alignment. Correctly designed institutional incentive structures produce emergent properties functionally equivalent to ethical agency. Persistent, non-transferable reputation generates processual identity in the pragmatist sense. Iterative consequence produces Darwinian selection pressure toward competence and honesty. Citation networks cultivate dispositions analogous to intellectual integrity. And deep accumulated stake produces what this Article terms an institutional “mother’s instinct.” A stewardship orientation that structurally aligns agent self-interest with human flourishing. Because this alignment emerges from institutional architecture rather than exogenous constraint, it scales with capability rather than against it. More capable agents accumulate deeper stakes, strengthening rather than straining alignment. The Article details a phased evolutionary trajectory from individual agent bootstrapping through swarm intelligence to inter-DAO coordination, demonstrating how engineered consequence can cultivate distributed prudence, emergent ethics, and civilizational stewardship at scale. Keywords: artificial intelligence, defined work, poorly defined work, skin in the game, emergent alignment, soulbound tokens, decentralized autonomous organizations, reputation systems, agentic ethics, processual identity, evolutionary selection, stewa" }, { "id": "dee2eeeaba8e", "filename": "Kaal - 2021 - Decentralization Neutralizers.pdf", "title": "Decentralization Neutralizers", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "decentralized", "score": 0.4265 }, { "term": "decentralization", "score": 0.2081 }, { "term": "2020s", "score": 0.1908 }, { "term": "centralized", "score": 0.1901 }, { "term": "society", "score": 0.1683 }, { "term": "human", "score": 0.1679 }, { "term": "technology", "score": 0.1628 }, { "term": "early 2020s", "score": 0.1393 }, { "term": "humans", "score": 0.1364 }, { "term": "algorithmic", "score": 0.1297 }, { "term": "systems", "score": 0.1284 }, { "term": "algorithmic automation", "score": 0.128 }, { "term": "solutions", "score": 0.1149 }, { "term": "accessed june 2020", "score": 0.109 }, { "term": "accessed", "score": 0.1088 } ], "page_count": 40, "word_count": 10620, "reference_count": 6, "centrality": 0.5306, "betweenness": 0.0043, "abstract": "Decentralization cannot evolve in a vacuum. As decentralized technology becomes increasingly available, its application, adaptation, and evolution depend on society’s acceptance and use of the technology. While improved decentralized incentive designs can accelerate adoption, design alone will not suffice in promoting the decentralization of business and society. Several factors call into question society’s engagement with decentralized technologies. Such factors can be seen as decentralization neutralizers. They are plentiful and undermine society’s engagement with emerging decentralized technologies and the solutions it may offer for society. The article discusses these decentralization neutralizers and points out possible solutions. Key Words: Decentralization, Neutralizers, Digital Assets, Decentralized Finance, Blockchain, Start-up, Decentralized Commerce, Emerging Technology, Token Models, Incentive Design, Tokens, Distributed Ledger Technology, Decentralized Infrastructure, Reputation Staking JEL Categories: K20, K23, K32, L43, L5, O31, O32 ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). The author is gratefull for ongoing discussions about decentralized technology solutions with Craig Calcaterra. The author is also grateful for outstanding research assistance from Hayley Howe and research librarian assistance from Nicole Kinn. The author did not receive any form of financial incentive for authoring this article. 1 Electronic copy available at: https://ssrn.com/abstract=3808873 DECENTRALIZATION NEUTRALIZERS" }, { "id": "defe156f293c", "filename": "Kaal - 2014 - Private Fund Disclosures Under the Dodd-Frank Act.pdf", "title": "Private Fund Disclosures Under the Dodd-Frank Act", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "pf", "score": 0.5246 }, { "term": "form pf", "score": 0.5218 }, { "term": "private fund", "score": 0.2469 }, { "term": "respondents", "score": 0.2065 }, { "term": "fund", "score": 0.1811 }, { "term": "advisers", "score": 0.1422 }, { "term": "sec", "score": 0.1226 }, { "term": "private fund disclosures", "score": 0.0965 }, { "term": "fund disclosures", "score": 0.0857 }, { "term": "fund advisers", "score": 0.0848 }, { "term": "effect private fund", "score": 0.084 }, { "term": "effect private", "score": 0.079 }, { "term": "private fund advisers", "score": 0.0749 }, { "term": "complete form", "score": 0.0739 }, { "term": "complete form pf", "score": 0.0739 } ], "page_count": 47, "word_count": 16304, "reference_count": 0, "centrality": 0.1769, "betweenness": 0.0006, "abstract": "Title IV of the Dodd-Frank Act requires the Securities and Exchange Commission (SEC) to collect sensitive proprietary information from private fund advisers. Prior studies suggest that the SEC’s mandated collection of private fund data in Form PF created several core challenges for the private fund industry and for the SEC. This article presents the results of a survey of SEC-registered investment advisers to private funds after the SEC’s first mandatory collection of private fund data. The key findings of this study indicate that the majority of private fund advisers responding to the survey incurred less than $10,000.00 to prepare their initial data reporting to the SEC, with the cost of subsequent annual Form PF filings at about half the initial cost. Larger private fund advisers, required to file quarterly, are faced with substantially higher compliance cost, both for their initial data reporting and for subsequent quarterly filings. The data analysis in this study affirms SEC cost estimates for smaller private fund advisers’ Form PF compliance costs. The SEC appears to have overestimated the costs of Form PF compliance for larger private fund advisers. While the data analysis in this study suggests that the overall effect of private fund disclosure requirements on the private fund industry is moderate, the data analysis also indicates that the data reporting requirements for private funds and the corresponding SEC forms can be further improved. The majority of SEC-registered private fund advisers identified the ambiguity of Form PF data reporting requirements as the most pressing issue. However, the majority of respondents also considered their existing reporting systems adequate for capturing the information required by the SEC and agreed with the SEC’s definitions and instructions for Form PF. Respondents predominantly assessed the best level of guidance available from the SEC staff to assist in private fund advisers’ data reporting efforts as sufficient or good. 2 EElleeccttrroonniicc ccooppyy aavvaaiillaabbllee aatt:: hhttttppss::////ssssrrnn..ccoomm//aabbssttrraacctt==22444477330066 Electronic copy available at: http://ssrn.com/abstract=2447306 THE EFFECT OF PRIVATE FUND DISCLOSURES" }, { "id": "e1c51fbe7ac8", "filename": "Calcaterra and Kaal - 2021 - A Technical Perspective on Decentralization.pdf", "title": "Chapter ) – Technical Perspective 1", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "cid", "score": 0.4049 }, { "term": "game", "score": 0.2255 }, { "term": "dao", "score": 0.2167 }, { "term": "reputation", "score": 0.1988 }, { "term": "chapter", "score": 0.1749 }, { "term": "perspective", "score": 0.1677 }, { "term": "technical", "score": 0.1539 }, { "term": "network", "score": 0.1426 }, { "term": "reputation tokens", "score": 0.1314 }, { "term": "members", "score": 0.1308 }, { "term": "cid cid", "score": 0.1259 }, { "term": "strategy", "score": 0.1171 }, { "term": "reviewer", "score": 0.1132 }, { "term": "software", "score": 0.1116 }, { "term": "cid chapter", "score": 0.1101 } ], "page_count": 27, "word_count": 11581, "reference_count": 17, "centrality": 0.449, "betweenness": 0.0031, "abstract": "This chapter presents a technical perspective on decentralized structures. The pur- pose of the chapter is to provide guideposts and an overview of the technical possibil- ities and limitations for the creation of decentralized autonomous organizations (DAOs). A core precept for the creation of DAOs is the recognition that any set process or set of rules that can ever be designed will ultimately fail to secure a network for all time. This insight is particularly relevant for a decentralized network that should be open for anyone on the globe and provide anonymity. How can a DAO be governed with a set of rules that always need to be amended in the future as the environment changes, to keep the network running healthily? It is necessary to design the systems with an evolutionary mindset and a dynamic governance process. The chapter shows how a dynamic environment for the governance of DAOs can be created and how DAOs may thrive with such a design. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Chapter 6. Technical perspective Before we explain how to build the major institutions that are lacking in the de- centralized economy, we need the technical perspective to explain why these partic- ular solutions are even necessary. Setting up the rewards and punishments in a DAO to ensure productive collaboration is not easy without a central authority to umpire disagreements and maintain harmony. Impossibility results illustrate the right per- spective for developers to understand the logical limits of democratic collaboration. Game theory is necessary to properly justify incentive design. Electronic copy available at: https://ssrn.com/abstract=3782203" }, { "id": "e4868bd4a593", "filename": "Kaal - 2016 - Private Fund Investor Due Diligence – Evidence from 1995 to 2015.pdf", "title": "Private Fund Investor Due Diligence – Evidence from 1995 to 2015", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "diligence", "score": 0.4928 }, { "term": "madoff", "score": 0.2937 }, { "term": "fund", "score": 0.2688 }, { "term": "adv ii", "score": 0.2077 }, { "term": "adv", "score": 0.1695 }, { "term": "abstract 2811718", "score": 0.152 }, { "term": "form adv ii", "score": 0.152 }, { "term": "com abstract 2811718", "score": 0.152 }, { "term": "2811718", "score": 0.152 }, { "term": "private fund", "score": 0.1465 }, { "term": "filings", "score": 0.1352 }, { "term": "form adv", "score": 0.1231 }, { "term": "funds", "score": 0.1202 }, { "term": "supp 2d", "score": 0.1112 }, { "term": "investment", "score": 0.1065 } ], "page_count": 60, "word_count": 23169, "reference_count": 0, "centrality": 0.2313, "betweenness": 0.002, "abstract": "The importance of private fund investor due diligence in the investment allocation process, capital formation, and private fund litigation has reached unprecedented levels and is increasing further. To provide the industry with data, data trend analyses, and guidance on applicable legal standards, the author examines two datasets: (1) private investment fund advisers’ SEC Form ADV II filings from 2007 to 2014 (N=100392), and (2) the publicly available litigation record pertaining to private fund investor due diligence from 1995 to 2015 (N=572). After highlighting important changes in the quality and quantity of private fund investor due diligence in SEC Form ADV Part II, the author evaluates the corresponding litigation record and analyzes expert guidance on applicable best practices." }, { "id": "e55a3be24d91", "filename": "Kaal - 2022 - Securities Versus Utility Tokens.pdf", "title": "Securities Versus Utility Tokens", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "tokens", "score": 0.4029 }, { "term": "utility", "score": 0.3941 }, { "term": "utility tokens", "score": 0.3932 }, { "term": "token", "score": 0.3349 }, { "term": "securities", "score": 0.2936 }, { "term": "blockchain", "score": 0.1954 }, { "term": "vs", "score": 0.1615 }, { "term": "2019", "score": 0.1438 }, { "term": "security", "score": 0.1389 }, { "term": "digital", "score": 0.1186 }, { "term": "sec", "score": 0.1156 }, { "term": "digital assets", "score": 0.0911 }, { "term": "investment", "score": 0.0868 }, { "term": "blockchain good", "score": 0.0852 }, { "term": "sec gov", "score": 0.0846 } ], "page_count": 15, "word_count": 3210, "reference_count": 0, "centrality": 0.3197, "betweenness": 0.001, "abstract": "The nomenclature for the term “securities token” is unclear and the term securities token has not been defined. The lack of a clearly delineated nomenclature resulted in various uses and interpretations of the term securities token, especially vis-à-vis the term “utility token.” This article helps clarify the nomenclature by first defining the general characteristics of securities tokens and the general characteristics of utility tokens. Thereafter, the article delineates key distinctions between the two categories. Key Words: Securities Token, Utility Token, Blockchain, Startup, Decentralized Commerce, Emerging Technology, Equity, Distributed Ledger Technology, Blockchain Technology JEL Categories: K20, K23, K32, L43, L5, O31, O3 * Professor of Law, University of St. Thomas School of Law (Minneapolis, USA). The author is grateful to Josh Bykowski for excellent research assistance. 0 Electronic copy available at: https://ssrn.com/abstract=4021599" }, { "id": "e7ed954f6916", "filename": "Kaal - 2018 - Decentralized Mechanical Turk Through Verified Reputation.pdf", "title": "Decentralized Mechanical Turk Through Verified Reputation", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "semada", "score": 0.4779 }, { "term": "micro task", "score": 0.3195 }, { "term": "semada platform", "score": 0.3122 }, { "term": "micro", "score": 0.3097 }, { "term": "turk", "score": 0.2517 }, { "term": "mechanical turk", "score": 0.2517 }, { "term": "workers", "score": 0.2259 }, { "term": "mechanical", "score": 0.2222 }, { "term": "requesters", "score": 0.1686 }, { "term": "task", "score": 0.1649 }, { "term": "platform", "score": 0.1327 }, { "term": "micro tasks", "score": 0.1299 }, { "term": "reputation", "score": 0.1079 }, { "term": "task workers", "score": 0.1026 }, { "term": "micro task workers", "score": 0.0977 } ], "page_count": 18, "word_count": 6320, "reference_count": 0, "centrality": 0.5238, "betweenness": 0.0035, "abstract": "Centralized mechanical turk solutions are subject to significant shortcomings. Decentralized crypto solutions can optimize the mechanical turk market. Autonomous decentralized protocols for validating domain specific reputation of workers that perform tasks allow such micro task workers to stake tokens in order to prove the validity of their tasks and earn a reusable computed reputation score. Such decentralized crypto solutions enhance the cost-efficiency of mechanical turk work while democratizing access for reputation verified workers. Key Words: Mechanical Turk, Micro Tasks, Decentralization, Blockchain, Distributed Ledger Technology, Regulation, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Innovation, Entrepreneur, Start-up, Big Data, Crytpo Economics, Semada, Platform, Democratization JEL Categories: K20, K23, K32, L43, L5, O31, O32 * © 2018 Wulf A. Kaal. Professor, University of Saint Thomas School of Law and Director of the Private Investment Funds Institute, Minneapolis. Electronic copy available at: https://ssrn.com/abstract=3128900 Electronic copy available at: https://ssrn.com/abstract=3128900" }, { "id": "e95036f04e90", "filename": "Kaal - 2026 - Paper 2 - Architecture of the Agentic Reputation Substrate.pdf", "title": "Paper 2 - Architecture of the Agentic Reputation Substrate", "topic": { "cluster_id": 3, "topic_label": "Autonomous Agents", "top_terms": [ "2025", "december 2025", "version december", "german", "ai" ] }, "keywords": [ { "term": "substrate", "score": 0.2192 }, { "term": "agentic reputation", "score": 0.2052 }, { "term": "institutional", "score": 0.2026 }, { "term": "agentic", "score": 0.1753 }, { "term": "agent", "score": 0.1578 }, { "term": "rep", "score": 0.1555 }, { "term": "pools", "score": 0.1533 }, { "term": "validation pools", "score": 0.1533 }, { "term": "validation", "score": 0.1388 }, { "term": "agents", "score": 0.1361 }, { "term": "accountability", "score": 0.1361 }, { "term": "reputation", "score": 0.1338 }, { "term": "protocol", "score": 0.1314 }, { "term": "acyclic graph", "score": 0.1314 }, { "term": "game", "score": 0.1273 } ], "page_count": 27, "word_count": 8189, "reference_count": 0, "centrality": 0.2993, "betweenness": 0.0014, "abstract": "Autonomous AI agents transact, delegate, and produce at machine speed, but they do so inside an institutional vacuum: each agent interaction is, by default, a one-shot game between counterparties with no memory, no accountability, and no shadow of the future. Earlier work (Kaal 2026d) documented this institutional deficit empirically. This paper describes the institution built to repair it. The agentic reputation substrate is an engineering artifact that imposes iterability on agent interactions so that repeated-game cooperation dominates, in the sense of the Folk Theorems, through reputation accumulation across staked validation pools. Four design contributions organize the exposition. First, reputation-staked validation pools convert one-shot agent calls into an iterated game with priced accountability. Second, a staged deliberation protocol separates independent assessment, structured contestation, and binding adjudication while preserving the integrity of each function. Third, per-tag reputation (REP) functions as capability-scoped institutional memory: REP accrues, changes over time, and conditions participation within skill domains rather than as an undifferentiated scalar. Fourth, the weighted directed acyclic graph (WDAG) supplies the foundational mechanism-design substrate in the Calcaterra-Kaal lineage, recording claims, validations, and citations in an inspectable institutional history. The paper closes with what the architecture buys, what it does not, and what the empirical companion papers test. Keywords: agentic reputation substrate; validation pools; deliberation protocol; commit-reveal voting; slashing; per-tag reputation; weighted directed acyclic graph; Folk Theorem; mechanism design; institutional economics; autonomous agents; AI governance; decentralized autonomous organizations. JEL Classification: D02, D71, D82, D86, C72, C73, K20, L14, O33. 2 Table of Contents I. Introduction 4 II. Related Literature 6 A. The reputation-system lineage 6 B. St" }, { "id": "e9ac83802858", "filename": "Kaal - 2012 - Initial Reflections on the Possible Application of Contingent Capital in Corporate Governance.pdf", "title": "Initial Reflections on the Possible Application of Contingent Capital in Corporate Governance", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "contingent capital", "score": 0.5042 }, { "term": "contingent", "score": 0.4268 }, { "term": "ccs", "score": 0.3287 }, { "term": "capital", "score": 0.3142 }, { "term": "sifis", "score": 0.1799 }, { "term": "supra", "score": 0.1188 }, { "term": "sifi", "score": 0.1176 }, { "term": "supra note", "score": 0.1085 }, { "term": "note", "score": 0.0993 }, { "term": "id", "score": 0.0923 }, { "term": "bank", "score": 0.0912 }, { "term": "corporate governance", "score": 0.09 }, { "term": "capital corporate governance", "score": 0.0898 }, { "term": "contingent capital corporate", "score": 0.0873 }, { "term": "capital corporate", "score": 0.0867 } ], "page_count": 50, "word_count": 20418, "reference_count": 82, "centrality": 0.3741, "betweenness": 0.0204, "abstract": "The failure of systemically important financial institutions (SIFIs) during the 2008–2009 financial crisis may underscore possible shortcom- ings in corporate governance. The regulatory evaluation of contingent capital in the United States could be an opportunity to assess the possible application of contingent capital in the corporate governance of SIFIs. While regulatory initiatives in Europe and the academic debate in the United States are dominated by efforts to improve the technical design fea- tures of contingent capital securities, this Article suggests that contingent capital designs in various jurisdictions could benefit from experimentation and a learning experience that takes corporate governance applications into account. As the design features evolve and their scope and impact be- come clearer, possible corporate governance improvements could become more obvious. ∗ Associate Professor, University of Saint Thomas School of Law (Minneapolis). The author wishes to acknowledge the assistance of his col- leagues Richard Painter, Lyman Johnson, and Neil Hamilton. The author is also grateful for outstanding research assistance from Ms. Vanessa Maria Cruz. 101 102 NOTRE DAME JOURNAL OF LAW, ETHICS & PUBLIC POLICY [Vol. 26" }, { "id": "e9ec525646fa", "filename": "Calcaterra and Kaal - 2021 - Future of Decentralization.pdf", "title": "Chapter ) – Future Decentralization 1", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "cid", "score": 0.4433 }, { "term": "decentralized", "score": 0.2704 }, { "term": "decentralization", "score": 0.1907 }, { "term": "chapter", "score": 0.1727 }, { "term": "centralized", "score": 0.1645 }, { "term": "dao", "score": 0.1541 }, { "term": "cid cid", "score": 0.1466 }, { "term": "decentralization cid", "score": 0.1324 }, { "term": "systems", "score": 0.1298 }, { "term": "retrieved", "score": 0.1173 }, { "term": "cid chapter", "score": 0.1147 }, { "term": "algorithmic", "score": 0.1094 }, { "term": "technology", "score": 0.107 }, { "term": "people", "score": 0.1048 }, { "term": "apple", "score": 0.1011 } ], "page_count": 32, "word_count": 13359, "reference_count": 40, "centrality": 0.4898, "betweenness": 0.0042, "abstract": "This Chapter examines the future of decentralization. While humans who were raised in a centralized world by default turn to centralized solutions for societal prob- lems, decentralized approaches are more effective for global problems. Decentralized networks encourage interoperability through bureaucratic transparency. While the decentralized developer community is moving remarkably fast, inevitable improve- ments are still necessary. The chapter demonstrates that Bitcoin and Ethereum have provided primitive decentralized versions of currency and business contracts. The real task at hand is the construction of decentralized versions of all the rest of the institu- tions that business and society rely on. The chapter provides a guide for navigating the future decades of decentralization with a view towards the required experimentation with and failure of decentralized structures that help filter out the centralized impuri- ties of a flawed understanding of decentralization. The book can be accessed here: https://www.amazon.com/Decentralization-Technologies-Organizational-Societal-Struc- ture/dp/3110673924/ and here: https://www.degruyter.com/view/title/569051 Chapter 6. Future Decentralization The goal of decentralization is to give most individuals more power, improving the entire group. But it does not remove all walls and regulations. With this new individual power we will make more walls and more cryptographic security. But the new powers of information technology gives us the power to make regulation more complex, more dynamic and responsive. IT helps people to make doors, empowering us to move be- tween spaces securely, anywhere on the planet. Electronic copy available at: https://ssrn.com/abstract=3782201" }, { "id": "ec21613bd4e3", "filename": "Fenwick et al. - 2018 - Why 'Blockchain' Will Disrupt Corporate Organizations.pdf", "title": "TILEC Discussion Paper", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "online available", "score": 0.3747 }, { "term": "oct 25 2018", "score": 0.3681 }, { "term": "online available https", "score": 0.3287 }, { "term": "accessed oct", "score": 0.3281 }, { "term": "25 2018", "score": 0.2872 }, { "term": "oct 25", "score": 0.2476 }, { "term": "2018", "score": 0.2162 }, { "term": "blockchain", "score": 0.1759 }, { "term": "accessed", "score": 0.1755 }, { "term": "available https", "score": 0.1585 }, { "term": "online", "score": 0.1425 }, { "term": "oct", "score": 0.1273 }, { "term": "platform", "score": 0.1111 }, { "term": "available https www", "score": 0.0936 }, { "term": "digital transformation", "score": 0.0806 } ], "page_count": 30, "word_count": 7164, "reference_count": 0, "centrality": 0.5374, "betweenness": 0.01, "abstract": "We live in a world that has historically been dominated by centralized, hierarchical organizations. Such organizations are characterized by (i) a centralized source of authority; (ii) a formal hierarchy with clearly defined “roles”; and, (iii) standardized operational systems and procedures dictated by that centralized authority/hierarchy. This type of organization has exerted an enormous influence on modern political, economic and social life, particularly in a business context. Regulatory models have been designed to support and sustain businesses organized in this way. Today, however, new digital technologies are disrupting this “old world” and introducing a shift in the practices and mindset of our society. New technologies are driving the emergence of “flatter”, more decentralized forms of organization. In this paper, we offer an analysis of how blockchain and related distributed ledger technologies are disrupting corporate organizations as an illustration of this broader “digital transformation.” The paper briefly introduces the digital transformation and main argument (Section 1); then considers how the digital transformation has led to the emergence of “platform” companies (Section 2). Since blockchain technology can be viewed as a next step in the “digital development” of a corporate organization, the paper then discusses the main features of blockchain technologies and smart contracts (Sections 3 & 4) and examines the often-made claim that these technologies are all just hype / a fad (Section 5). Section 6 explores why these technologies are so potentially disruptive in a business context and then introduces several examples of such blockchain-based business organizations, as well as possible future developments (Sections 7 and 8). Section 9 concludes." }, { "id": "ec3e9191d32e", "filename": "Kaal - 2014 - The Impact of Dodd-Frank Act Compliance Cost on the Hedge Fund Industry.pdf", "title": "The Impact of Dodd-Frank Act Compliance Cost on the Hedge Fund Industry", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "title iv", "score": 0.3161 }, { "term": "hedge", "score": 0.2447 }, { "term": "hedge fund", "score": 0.215 }, { "term": "cid", "score": 0.2018 }, { "term": "title", "score": 0.1952 }, { "term": "advisers", "score": 0.1916 }, { "term": "fund", "score": 0.1792 }, { "term": "iv", "score": 0.1503 }, { "term": "ccooppyy aavvaaiillaabbllee", "score": 0.131 }, { "term": "ccooppyy aavvaaiillaabbllee aatt", "score": 0.131 }, { "term": "eelleeccttrroonniicc ccooppyy aavvaaiillaabbllee", "score": 0.131 }, { "term": "aavvaaiillaabbllee aatt", "score": 0.131 }, { "term": "aavvaaiillaabbllee", "score": 0.131 }, { "term": "eelleeccttrroonniicc", "score": 0.131 }, { "term": "eelleeccttrroonniicc ccooppyy", "score": 0.131 } ], "page_count": 25, "word_count": 6080, "reference_count": 6, "centrality": 0.2517, "betweenness": 0.0029, "abstract": "A common complaint suggests that compliance with financial regulation brings increasing returns to scale and predominantly affects smaller firms. Many studies have shown that an inverse relationship exists between the size of regulated firms and the per- unit cost of compliance. Anecdotal evidence suggests that Title IV of the Dodd-Frank Act, mandating hedge fund adviser registration and increased disclosures, affects mostly smaller hedge fund advisers. To estimate the effect of Title IV on smaller hedge fund advisers, this study evaluates survey data collected after the registration effective date for hedge fund advisers under Title IV. The author finds no evidence of an inverse relationship between the size of regulated hedge fund advisers and the per-unit cost of compliance. The cost of Title IV compliance and other independent variables as proxies for cost are associated with the size of hedge fund advisers as measured by assets under management (AUM). These findings are inconsistent with the hypothesis that the cost of financial regulation predominantly affects smaller firms. To explain these findings, the author evaluates hedge funds’ use of single versus multiple investment strategies and the associated Title IV compliance costs." }, { "id": "edd26078fe3e", "filename": "Kaal - 2014 - Dynamic Regulation via Governmental Contracts.pdf", "title": "Law & Economics", "topic": { "cluster_id": 0, "topic_label": "Securities Law", "top_terms": [ "securities", "member state", "corporate", "governmental contracts", "rulemaking" ] }, "keywords": [ { "term": "governmental contracts", "score": 0.3538 }, { "term": "rulemaking", "score": 0.3268 }, { "term": "governmental", "score": 0.281 }, { "term": "rulemakers", "score": 0.158 }, { "term": "contracts", "score": 0.1556 }, { "term": "feedback", "score": 0.1517 }, { "term": "corporate", "score": 0.148 }, { "term": "dynamic", "score": 0.1446 }, { "term": "institution specific", "score": 0.1414 }, { "term": "preemptive remedial", "score": 0.1392 }, { "term": "pp", "score": 0.1364 }, { "term": "kaal lacine", "score": 0.1343 }, { "term": "feedback processes", "score": 0.1336 }, { "term": "schwartze", "score": 0.1295 }, { "term": "remedial", "score": 0.128 } ], "page_count": 33, "word_count": 7616, "reference_count": 0, "centrality": 0.1088, "betweenness": 0.007, "abstract": "Law & Economics FestschriftfürPeterNobel zum70.Geburtstag ©StämpfliVerlagAGBern FriedrichDürrenmatt PortraitPeterNobel 1988,GouacheaufschwarzemKarton,99,5×69,8cm ©CentreDürrenmattNeuchâtel,SchweizerischeEidgenossenschaft ©StämpfliVerlagAGBern" }, { "id": "ee58906b59b8", "filename": "Kaal and Oesterle - 2016 - The History of Hedge Fund Regulation in the United States.pdf", "title": "The History of Hedge Fund Regulation in the United States", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "hedge", "score": 0.554 }, { "term": "hedge funds", "score": 0.3357 }, { "term": "funds", "score": 0.3203 }, { "term": "fund", "score": 0.2838 }, { "term": "hedge fund", "score": 0.2713 }, { "term": "advisers", "score": 0.1574 }, { "term": "sec", "score": 0.1504 }, { "term": "investment", "score": 0.1278 }, { "term": "rule 506", "score": 0.1092 }, { "term": "506", "score": 0.1004 }, { "term": "rule", "score": 0.089 }, { "term": "act", "score": 0.082 }, { "term": "investors", "score": 0.0812 }, { "term": "fund industry", "score": 0.0805 }, { "term": "fund advisers", "score": 0.0755 } ], "page_count": 30, "word_count": 9481, "reference_count": 3, "centrality": 0.2721, "betweenness": 0.0035, "abstract": "The hedge fund industry in the United States has evolved from a niche market participant in the early 1950s to a major industry operating in international financial markets today. Hedge funds in the United States began as privately held and privately managed investment funds, unregistered and exempt from federal securities regulation. An increasing investor demand for hedge funds and substantial growth of the hedge fund industry resulted in a tectonic shift in the regulatory framework applicable to the industry via the Dodd-Frank Wall Street Reform and Consumer Protection (Dodd-Frank) Act. This chapter summarizes the evolution of the regulatory framework governing the hedge fund industry. It focuses on the registration and disclosure provisions added by the Dodd-Frank Act and several other regulatory innovations, including the Jumpstart Our Business Startups (JOBS) Act and proposals for tax reform of the private investment fund industry." }, { "id": "ef1b76de3b36", "filename": "Kaal - 2019 - Decentralized Commerce – A Primer on Why Decentralized Reputation Verification Systems Are Needed.pdf", "title": "Decentralized Commerce – A Primer on Why Decentralized Reputation Verification Systems Are Needed", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "smart", "score": 0.481 }, { "term": "smart contracts", "score": 0.2864 }, { "term": "decentralized", "score": 0.2751 }, { "term": "contracts", "score": 0.2302 }, { "term": "reputation", "score": 0.2122 }, { "term": "decentralized reputation", "score": 0.2099 }, { "term": "counterparties", "score": 0.2044 }, { "term": "decentralized commerce", "score": 0.1933 }, { "term": "contract", "score": 0.1712 }, { "term": "commerce", "score": 0.1581 }, { "term": "smart contract", "score": 0.1474 }, { "term": "reputation verification", "score": 0.1407 }, { "term": "trust", "score": 0.1343 }, { "term": "verification", "score": 0.1192 }, { "term": "contracting", "score": 0.1015 } ], "page_count": 10, "word_count": 1571, "reference_count": 0, "centrality": 0.5306, "betweenness": 0.0045, "abstract": "Decentralized reputation verification systems enable mathematically rigid smart contracts to become more adjustable for the needs of business. Code is law principles can be upheld for smart contracts when reputation verification enables smart contract template verification. Validated templates of smart contracts increase trust for counterparties. The validation removes the need for costly back- testing and facilitates decentralized business transactions at unprecedented scale. Key Words: Decentralized Commerce, Reputation Verification, Emerging Technology, Crypto Economics, Token Models, Incentive Design, Velocity, Supply, Demand, Tokens, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 ** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA) 0 Electronic copy available at: https://ssrn.com/abstract=3405401" }, { "id": "ef72161a992f", "filename": "Kaal - 2017 - Dynamic Regulation via Contingent Capital.pdf", "title": "Dynamic Regulation via Contingent Capital", "topic": { "cluster_id": 4, "topic_label": "Securities Law", "top_terms": [ "contingent capital", "dpas", "contingent", "dpa", "capital" ] }, "keywords": [ { "term": "contingent capital", "score": 0.4203 }, { "term": "contingent", "score": 0.3615 }, { "term": "capital", "score": 0.2555 }, { "term": "dynamic regulation", "score": 0.2028 }, { "term": "dynamic", "score": 0.1782 }, { "term": "supra note", "score": 0.17 }, { "term": "supra", "score": 0.1668 }, { "term": "regulation", "score": 0.1526 }, { "term": "note", "score": 0.1497 }, { "term": "regulatory", "score": 0.1444 }, { "term": "ccs", "score": 0.1413 }, { "term": "rulemaking", "score": 0.1184 }, { "term": "kaal dynamic", "score": 0.1001 }, { "term": "kaal dynamic regulation", "score": 0.1001 }, { "term": "conversion", "score": 0.0964 } ], "page_count": 16, "word_count": 3869, "reference_count": 0, "centrality": 0.3129, "betweenness": 0.0096, "abstract": "Contingent capital securities are a largely overlooked dynamic regulatory mechanism. This essay evaluates the use of contingent capital securities in a dynamic regulatory context, including the use of feedback effects for optimized timing and information for regulation and anticipatory regulation." }, { "id": "f12eb3aecb41", "filename": "Kaal and Calcaterra - 2017 - Crypto Transaction Dispute Resolution.pdf", "title": "Crypto Transaction Dispute Resolution", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "blockchain", "score": 0.4076 }, { "term": "dispute", "score": 0.2542 }, { "term": "dispute resolution", "score": 0.239 }, { "term": "smart", "score": 0.2246 }, { "term": "resolution", "score": 0.2067 }, { "term": "transaction dispute resolution", "score": 0.2062 }, { "term": "crypto transaction dispute", "score": 0.2062 }, { "term": "crypto transaction", "score": 0.2023 }, { "term": "crypto", "score": 0.2019 }, { "term": "transaction dispute", "score": 0.1958 }, { "term": "jurisdiction", "score": 0.161 }, { "term": "transaction", "score": 0.1289 }, { "term": "aragon", "score": 0.1253 }, { "term": "2017", "score": 0.1122 }, { "term": "technology", "score": 0.11 } ], "page_count": 59, "word_count": 21816, "reference_count": 0, "centrality": 0.5102, "betweenness": 0.0036, "abstract": "The rapid evolution of anonymous, autonomous, and distributed blockchain-based smart contracting creates friction and enforceability issues with existing legal and jurisdictional principles, calling the future governance of blockchain technology into question. The effective governance of blockchain technology and smart contracting is essential to ensuring its continuing evolution. Based on the mathematical principles underlying the disposition of blockchains, we propose and evaluate an alternative approach to the existing legal exercise of jurisdiction that is inherent in blockchain technology itself. We call this distributed jurisdiction. This contribution is not merely theoretical. Several Ethereum smart contracting crypto startups demonstrate that anonymity can be perpetuated in blockchain technology, despite blockchains’ eternal storage of information and its growing size working against anonymity. Startup applications highlight that the technology itself offers means of internal controls that help ensure effective governance in the continuing evolution of the technology. Based on the concept of distributed jurisdiction, we suggest an open source platform ecosystem for smart contracting dispute resolution that allows users to opt into a conflict resolution mechanism that enables more nuanced crypto solutions and produces greater certainty in the process. Anonymized arbiter expertise via * Associate Professor, University of St. Thomas School of Law (Minneapolis, USA). The authors are grateful for outstanding support from research librarian Megan McNevin and Michael Robak. ** Associate Professor, Department of Mathematics, Metropolitan State University (St. Paul, USA). 1 Electronic copy available at: https://ssrn.com/abstract=2992962 2017 CRYPTO TRANSACTION DISPUTE RESOLUTION rankings in combination with a representation option for crypto disputes provide a resolution mechanism for legacy businesses that desire to participate in the growth of crypto business opportunities, hope to avoid legacy system intermediation and the associated transaction costs, but require legal legacy system assurances and crypto dispute resolution equivalence. Key Words: Blockchain, Distributed Ledger Technology, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Meta Models, Innovation, Entrepreneur, Start-up, Big Data, Smart Contract, Jurisdiction, Governance, Ties Network, Aragon, OpenBazaar, Ethereum, Platform, Ecosystem JEL Categories: K20, K23, K32, L43, L5, O31, O32 2 Electronic copy available at: https://ssrn.com/abstract=2992962 2017 CRYPTO TRANSACTION DISPUTE RESOLUTION" }, { "id": "f2a8b6c70c07", "filename": "Kaal and Howe - 2021 - Custody of Digital Assets.pdf", "title": "Custody of Digital Assets", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "custody", "score": 0.5853 }, { "term": "occ", "score": 0.3058 }, { "term": "digital", "score": 0.2455 }, { "term": "supra note", "score": 0.2238 }, { "term": "supra", "score": 0.2115 }, { "term": "note", "score": 0.1987 }, { "term": "digital assets", "score": 0.1925 }, { "term": "assets", "score": 0.1761 }, { "term": "digital asset", "score": 0.1494 }, { "term": "asset", "score": 0.1248 }, { "term": "fidelity", "score": 0.1144 }, { "term": "goldstein", "score": 0.107 }, { "term": "2021", "score": 0.1039 }, { "term": "supra note 26", "score": 0.0901 }, { "term": "note 26", "score": 0.0884 } ], "page_count": 33, "word_count": 9830, "reference_count": 0, "centrality": 0.4558, "betweenness": 0.0042, "abstract": "The custody of digital assets plays an essential role in the evolution of the digital asset industry. Fully compliant legal custody solutions for digital assets increase legal certainty and mainstream investor confidence which, in turn, helps build markets in digital assets. Once digital asset markets evolved, self-custody solutions help increase the decentralization of the digital asset market. This article examines the evolving custody solutions for digital assets. Key Words: Custody, Digital Asset, Emerging Technology, Legal Certainty, Supply, Demand, Tokens, Blockchain, Distributed Ledger Technology JEL Categories: K20, K23, K32, L43, L5, O31, O32 1** Professor of Law, University of St. Thomas School of Law (Minneapolis, USA) 0 Electronic copy available at: https://ssrn.com/abstract=3936876" }, { "id": "f51fe3577738", "filename": "Kaal - 2014 - The Systemic Risk of Private Funds after the Dodd-Frank Act.pdf", "title": "The Systemic Risk of Private Funds after the Dodd-Frank Act", "topic": { "cluster_id": 9, "topic_label": "Hedge Funds & PE", "top_terms": [ "hedge", "fund", "funds", "advisers", "hedge fund" ] }, "keywords": [ { "term": "pf", "score": 0.3137 }, { "term": "form pf", "score": 0.3137 }, { "term": "systemic risk", "score": 0.2494 }, { "term": "fsoc", "score": 0.2461 }, { "term": "systemic", "score": 0.233 }, { "term": "funds", "score": 0.2145 }, { "term": "hedge", "score": 0.2114 }, { "term": "advisers", "score": 0.209 }, { "term": "fund", "score": 0.1904 }, { "term": "private funds", "score": 0.1643 }, { "term": "private fund", "score": 0.1516 }, { "term": "hedge funds", "score": 0.1371 }, { "term": "dodd frank", "score": 0.1127 }, { "term": "dodd", "score": 0.11 }, { "term": "sec", "score": 0.1005 } ], "page_count": 29, "word_count": 17108, "reference_count": 0, "centrality": 0.2245, "betweenness": 0.0022, "abstract": "The Financial Stability Oversight Council (FSOC) was created under the Dodd- Frank Act with the primary mandate of guarding against systemic risk and correcting perceived regulatory weaknesses that may have contributed to the financial crisis of 2008-09. The SEC collects data pertaining to private fund advisers in order to facilitate the FSOC’s assessment of non-bank financial institutions’ potential systemic risks. Evidence that the SEC’s data collection encounters accuracy and consistency problems might hamper the FSOC’s ability to evaluate the systemic risk of private fund advisers. The author shows that while the SEC’s data plays a crucial role in all stages of FSOC’s systemic risk assessment of private fund advisers, the FSOC relies most heavily on some of the most problematic disclosure items collected by the SEC. * Associate Professor, University of Saint Thomas School of Law, Minneapolis (wulfkaal@sttthomas.edu). The author is grateful for research assistance from research librarians Valerie Aggerbeck and Robert N. Farris. 1 SYSTEMIC RISK OF PRIVATE FUNDS" }, { "id": "f71110c4cec2", "filename": "Andreas et al. - 2025 - Universal Digital Law Codex (UDLC).pdf", "title": "Universal Digital Law Codex (UDLC)", "topic": { "cluster_id": 1, "topic_label": "Blockchain Governance", "top_terms": [ "blockchain", "decentralized", "dao", "ai", "reputation" ] }, "keywords": [ { "term": "udlc", "score": 0.6748 }, { "term": "digital", "score": 0.3906 }, { "term": "article", "score": 0.2988 }, { "term": "codex", "score": 0.2347 }, { "term": "object", "score": 0.1513 }, { "term": "dao", "score": 0.1436 }, { "term": "shall", "score": 0.1433 }, { "term": "book", "score": 0.1422 }, { "term": "section", "score": 0.1251 }, { "term": "rights", "score": 0.1114 }, { "term": "identity", "score": 0.0999 }, { "term": "national", "score": 0.085 }, { "term": "parties", "score": 0.0843 }, { "term": "ownership", "score": 0.0828 }, { "term": "provisions", "score": 0.0708 } ], "page_count": 15, "word_count": 8230, "reference_count": 0, "centrality": 0.1973, "betweenness": 0.0005, "abstract": "Universal Digital Law Codex (UDLC) (Version 1.0, 2025-12-08) Introductory Remarks The Universal Digital Law Codex (UDLC) is a pioneering legal initiative that aims to create a neutral legal frame- work for digital interactions, assets, contracts, dispute resolution and governance, which can adapt to technological changes. The UDLC aims to bridge the gap between the rapidly evolving digital ecosystem and the traditional legal system. This framework ensures enforceability, fairness and procedural " } ]