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 "name": "Streaming Agent Reasoning For Norm Compliance A Semantic Approach 7Ea299Cb16",
 "text": "Agent reasoning for norm compliance: a semantic approach presents the following source proposition: Assuming that which norms will have to be followed is unknown at design time, it is not possible to pre-program agents such that their behavior is norm compliant. This proposition is pertinent to Kaal's source-bound claim that Taken together, the transparency, decentralized decision making, and automated real time response properties of the proposed model make decentralized governance superior to AI driven supervision for secure, compliant, and efficient execution of AI agent transactions. 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: 0.4659.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
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  "name": "Agent reasoning for norm compliance: a semantic approach",
  "url": "https://doi.org/10.65109/yjne9792"
 },
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  "url": "https://wulfkaal.github.io/claims/5245185-039",
  "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
  "paper": "Wulf A. Kaal, How can we Best Monitor AI Agents",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5245185",
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  "workAuthors": [
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   "Louise A. Dennis",
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    "whyRelevant": "Shared high-information concepts: compliance, have, not, program. Scope: applies to funds subject to Rule 206(4)-7.",
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