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  "text": "Remark 1 states only signal invariance and supports no policy-level consequence without a separability model and empirical training evidence.",
  "author": {
    "@type": "Person",
    "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": "This is a restatement of signal invariance. It adds nothing to reinforcement learning from veri\ufb01able rewards. It does not show that a pool resolution is style-independent. It does not show that a \ufb01tted reward model inherits the invariance of . It also says nothing about how a trained policy allocates gradient effort. Any policy-level claim would require a stated separability model and empirical training evidence. Neither is present here.",
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