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 "name": "Historical 9B5B0B5Fba7A78E4F0D5",
 "text": "SN-Stego: Dataset for Social Networks Text Steganalysis via Local Group Discovery and Sample Distribution Regulation should be assessed against Kaal's source-bound claim that The AI-to-AI economy amplifies and potentially fulfills dynamic regulation by embedding its principles endogenously within system architecture, which renders many NIE inspired restraints against human opportunism and informational gaps obsolete. 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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 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
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  "dynamic-regulation",
  "governance-design",
  "ai-and-agents",
  "economics",
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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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  "url": "https://www.semanticscholar.org/paper/7db0fe769e1ebb80d7c11c57498a99b5a66b7bce"
 },
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  "identifier": "kaal:claim:5886442-031",
  "url": "https://wulfkaal.github.io/claims/5886442-031",
  "citation": "Wulf A. Kaal, The AI-to-AI Economy and the Collapse of Anthropocentric Economic Theory (2025). SSRN: https://ssrn.com/abstract=5886442",
  "paper": "The AI-to-AI Economy and the Collapse of Anthropocentric Economic Theory",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5886442",
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 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: regulation, embedding, gaps, dynamic. Scope: review source claim scope.",
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  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "dynamic regulation",
  "queryId": "concept:516a267369f9",
  "page": 4,
  "sourceRank": 3733,
  "retrievedAt": "2026-07-31T13:58:16.518Z",
  "citationCount": 1,
  "venue": "Data Intelligence",
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