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 "name": "Historical Bc38E74A47C5Ec9178E6",
 "text": "Introduction: epigenetics. should be assessed against Kaal's source-bound claim that Traditional AI governance frameworks fail because they rely on static, predefined rules that cannot adapt quickly enough to the pace of AI development or to the nuanced challenges AI presents. The current metadata indicates a plausible connection through dynamic regulation, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
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  "name": "Wulf A. Kaal",
  "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": "Introduction: epigenetics.",
  "url": "https://www.semanticscholar.org/paper/54c7037eae69ef47b64f01628b9cbb84a5be307f"
 },
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  "identifier": "kaal:claim:4796714-001",
  "url": "https://wulfkaal.github.io/claims/4796714-001",
  "citation": "Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714",
  "paper": "AI Governance",
  "authors": [
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  "year": "2024",
  "ssrn": "https://ssrn.com/abstract=4796714",
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 "mappingWhyRelevant": "Shared high-information concepts: not, static, cannot, development, dynamic, regulation, presents. Scope: applies to conventional rule based governance regimes; holds where AI capability changes faster than the rule revision cycle.",
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  "query": "dynamic regulation",
  "queryId": "concept:516a267369f9",
  "page": 3,
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  "retrievedAt": "2026-07-31T13:58:15.259Z",
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  "venue": "Chemical Reviews",
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