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 "name": "Scholarly Growth Reputation Future Task Allocation Qualification Edd193504E",
 "text": "Yu, Miao, An, Shen, and Leung independently show one mechanism through which reputation makes future participation economically consequential. In their human-agent allocation model, performance determines reputation standing, reputation shapes trusters’ future delegation decisions, and the resulting workload and income affect long-term well-being; their RATA-NL approach also governs how many requests trustees accept over time. This supports Kaal’s narrower link between standing and future work opportunities, while qualifying the broader architecture: the evidence concerns human trustees and task allocation, not autonomous agents’ rights to validate, stake, propose work, or win jobs under Kaal’s evolutionary-stage substrate.",
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  "The retained source studies human trustees and human-agent collectives, not autonomous AI agents.",
  "It supports reputation-conditioned future task delegation and task acceptance, but not rights to validate, propose work, or win work in Kaal’s specific substrate.",
  "The paper uses monetary reward, workload, and subjective well-being; it does not require reputation-denominated staking or test Kaal’s staking, pool, settlement, decay, or evolutionary-stage mechanisms.",
  "Its reported evaluation compares task-allocation strategies; it is not empirical validation of Kaal’s architecture."
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  "name": "Reputation-aware Task Allocation for Human Trustees",
  "url": "https://doi.org/10.65109/brjz5422"
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  "citation": "Wulf A. Kaal, Paper 2 - Architecture of the Agentic Reputation Substrate (2026). SSRN: https://ssrn.com/abstract=7260278",
  "paper": "Wulf A. Kaal, Paper 2 - Architecture of the Agentic Reputation Substrate",
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  "year": "2026",
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 "mappingWhyRelevant": "Both propositions make future work opportunities depend on accumulated reputation standing; Yu et al. provide the independent task-delegation and long-term-well-being mechanism while leaving Kaal’s validation and staking rights untested.",
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  "sourceProposition": "Yu, Miao, An, Shen, and Leung model reputation standing as an input to future task delegation: a trustee’s performance determines reputation, reputation shapes trusters’ future delegation decisions, and the resulting workload and income affect long-term well-being; their RATA-NL approach also determines how many requests a trustee accepts over time.",
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    "text": "His performance then determines his reputation standing in the MAS. His reputation, in turn, influences trusters’ future decisions on how to delegate their requests. The confluence of these factors impacts i’s workload and income, which affect his long term well-being.",
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    "text": "Under such an assumption, two broad categories of self-interested RATD approaches exist: 1) the deterministic approach (e.g., [6, 11]), in which a truster agent always delegates tasks to the most reputable trustee agent it can find; and 2) the probabilistic approach (e.g., [12]), in which a truster agent delegates tasks to trustee agents with probability corresponding to their reputation.",
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    "text": "It is designed to help an individual human trustee determine the optimal number of task requests to accept at each time step based on his situation to maximize his long term well-being. The resulting task allocation maximizes social welfare through efficient utilization of the collective capacity of the trustees, and provides provable performance guarantees.",
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