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 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Robust Regulation Adaptation In Multi Agent Systems Accab44Dd3",
 "text": "Robust Regulation Adaptation in Multi-Agent Systems presents the following source proposition: We evaluate the robustness of the system when it is populated by non compliant agents. This proposition is pertinent to Kaal's source-bound claim that Because AI agents can generate unlimited Sybil identities at near zero cost, defense must come from multi agent validation with quality based slashing, which imposes economic penalties scaling with the sophistication needed to produce competitive quality output. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
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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: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4104.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
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  "name": "Robust Regulation Adaptation in Multi-Agent Systems",
  "url": "https://doi.org/10.1145/2517328"
 },
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  "url": "https://wulfkaal.github.io/claims/6192998-039",
  "citation": "Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution (2026). SSRN: https://ssrn.com/abstract=6192998",
  "paper": "Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2026",
  "ssrn": "https://ssrn.com/abstract=6192998",
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   "url": "https://doi.org/10.1145/2517328"
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  "workAuthors": [
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