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 "name": "Streaming When Agents Cannot Be Benchmarked Ai Capability Opacity Corporate Govern 6Ea6Fe65Ff",
 "text": "When Agents Cannot Be Benchmarked: AI Capability Opacity, Corporate Governance, and a Research Agenda * presents the following source proposition: Classical agency theory cannot account for this pattern: every action was logged, and incentives were perfectly aligned by construction. This proposition is pertinent to Kaal's source-bound claim that In the theoretical model, the incentive design of decentralized reputation staking governance aligns the individual with the group so tightly that the agent cannot gain personally at the expense of the principal. 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.",
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  "crossref"
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4257.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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 "currentDebate": {
  "name": "When Agents Cannot Be Benchmarked: AI Capability Opacity, Corporate Governance, and a Research Agenda *",
  "url": "https://doi.org/10.2139/ssrn.6655439"
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  "url": "https://wulfkaal.github.io/claims/3949098-022",
  "citation": "Wulf A. Kaal, Reputation as Capital – How DAOs Upgrade Finance (2021). SSRN: https://ssrn.com/abstract=3949098",
  "paper": "Wulf A. Kaal, Reputation as Capital – How DAOs Upgrade Finance",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2021",
  "ssrn": "https://ssrn.com/abstract=3949098",
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    "whyRelevant": "Shared high-information concepts: agents, cannot, corporate, governance, account. Scope: principal agent relationship under incomplete contracting.",
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