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 "text": "Governance in Decentralized Finance: Aligning DAOs with IT Management and Regulatory Compliance in Indonesia should be assessed against Kaal's source-bound claim that The existing framework for monitoring AI agents on cryptocurrency payment rails identifies the key actors but fails to deliver viable solutions, because it does not specify scalability and adaptability challenges and omits critical risks. The current metadata indicates a plausible connection through DAO governance, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "External evidence level: abstract indexed.",
  "Mapping review tier: ambiguity triage before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
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  "name": "Governance in Decentralized Finance: Aligning DAOs with IT Management and Regulatory Compliance in Indonesia",
  "url": "https://www.semanticscholar.org/paper/52f1972da7009621e7894ea4d9140468effd2017"
 },
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  "identifier": "kaal:claim:5245185-011",
  "url": "https://wulfkaal.github.io/claims/5245185-011",
  "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",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2025",
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 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: compliance, identifies, critical, but, risk, payment, while, challenges. Scope: current monitoring ecosystem across exchanges, infrastructure providers, compliance services, developers and owners.",
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  "query": "DAO governance",
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  "retrievedAt": "2026-07-31T13:58:10.367Z",
  "citationCount": 0,
  "venue": "IEEE International Conference on Information Theory and Information Security",
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