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 "name": "Historical 354E5B9B5C25E8925088",
 "text": "AI Governance Via Web3 Reputation System should be assessed against Kaal's source-bound claim that Ex-post AI governance, in which regulation is applied only after AI systems have been developed and deployed or after large language models have already been pretrained on existing proprietary datasets, falls short of preemptively addressing the risks and biases those systems carry. The current metadata indicates a plausible connection through Governance Via Web3 Reputation System, 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: metadata only.",
  "Mapping review tier: high-confidence claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
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  "url": "https://www.semanticscholar.org/paper/2c9fa1f538138114e7d6dcb9e9c611a3af7fba99"
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  "url": "https://wulfkaal.github.io/claims/4941807-001",
  "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
  "paper": "AI Governance Via Web3 Reputation System",
  "authors": [
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  "year": "2024",
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   "name": "AI Governance Via Web3 Reputation System",
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 "mappingWhyRelevant": "Shared high-information concepts: governance, via, web3, reputation. Scope: when regulatory intervention occurs after development and deployment; when pretrained models were trained on existing proprietary datasets.",
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  "queryId": "paper:kaal-2024-aigovernanceviaweb3reput",
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  "retrievedAt": "2026-07-31T13:59:46.799Z",
  "citationCount": 1,
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