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  "text": "The paper translates Ostrom's commons principles into validation-pool boundaries, proportional allocation, protocol governance, output verification, graduated sanctions, appeals, community ownership, and nested pools.",
  "author": {
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    "name": "Wulf A. Kaal",
    "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "citation": "Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026). SSRN: https://ssrn.com/abstract=7456999",
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    "name": "Reinforcement Learning from Reputation Feedback",
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  "abstract": "Within the RLRF mechanism speci\ufb01cally, Ostrom\u2019s design principles translate as follows. Clearly de\ufb01ned boundaries correspond to non-transferable domain-speci\ufb01c reputation (Section III.B). Proportionality corresponds to reputation-weighted allocation of validation opportunity (equation 1). Collective-choice arrangements correspond to on- chain protocol governance. Effective monitoring corresponds to cryptographic veri\ufb01cation of outputs against stated objective functions. Graduated sanctions correspond to the MWU asymmetry . Con\ufb02ict-resolution mechanisms correspond to dispute protocols with appeal pathways. Recognition of self-governance corresponds to community ownership of the validation protocol. Nested enterprises correspond to layered validation pools composing into federated networks through veri \ufb01ed cross- network reputation.",
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