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 "text": "Systems and Methods for Decentralized AI Governance Networks (DAGN) with Tokenized Power Control (TPC) for Enforcing Human-Centric AI should be assessed against Kaal's source-bound claim that Infrastructure level permissioning neglects critical risks such as smart contract exploits, bugs, and permission conflicts, and proposes no real time enforcement across distributed nodes, which weakens its claim to bridge AI autonomy and accountability. The current metadata indicates a plausible connection through decentralized AI governance, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
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  "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
  "paper": "How can we Best Monitor AI Agents",
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 "mappingWhyRelevant": "Shared high-information concepts: across, critical, risks, autonomy, compliance, distributed, accountability, agents. Scope: permissioned transaction controls embedded in smart contracts.",
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