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 "text": "Analyzing the improvement of estate governance and management in Jordan using blockchain should be assessed against Kaal's source-bound claim that AI powered DAOs that autonomously generate revenue are especially hard to regulate or dismantle, because the same blockchain security features that protect the organization also make it difficult to intervene once it is operational. The current metadata indicates a plausible connection through blockchain governance, 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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  "arises from blockchain immutability and security guarantees",
  "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": "Analyzing the improvement of estate governance and management in Jordan using blockchain",
  "url": "https://www.semanticscholar.org/paper/eb44c09e9ca3e27f4a1119f25570a6575b7510f1"
 },
 "extends": {
  "identifier": "kaal:claim:4796714-022",
  "url": "https://wulfkaal.github.io/claims/4796714-022",
  "citation": "Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714",
  "paper": "AI Governance",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2024",
  "ssrn": "https://ssrn.com/abstract=4796714",
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 "mappingWhyRelevant": "Shared high-information concepts: governance, blockchain, potential, security, technology, furthermore, also, they. Scope: applies to autonomously revenue generating AI DAOs; arises from blockchain immutability and security guarantees.",
 "sourceProvenance": {
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  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "blockchain governance",
  "queryId": "concept:8d6f82bc7037",
  "page": 1,
  "sourceRank": 282,
  "retrievedAt": "2026-07-31T13:59:00.198Z",
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  "venue": "International Journal of Data and Network Science",
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