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  "text": "Format D combines reasoning supervision with adversarial argument, and its claimed increment is selecting revisions by which arguments moved a staked assessor, an increment no experiment in the paper tests.",
  "author": {
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    "name": "Wulf A. Kaal",
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  "citation": "Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026). SSRN: https://ssrn.com/abstract=7456999",
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  "abstract": "Format D sits between these two: like process supervision it trains on reasoning, and like debate it obtains that reasoning adversarially. Its only distinguishing feature is that the reasoning it keeps is the reasoning that moved an assessor who had a stake at risk. That selection rule is the contribution, and no experiment in this paper tests whether it helps.",
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