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  "text": "The 225-configuration sweep covers 4,500 trials, treats party accuracy as an input, and is reported as simulation rather than validation.",
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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": "A 225-con\ufb01guration parameter sweep across 4,500 trials supplies a two-mode comparison the cohort cannot observe. It does not establish an equilibrium-trajectory separation. Finding 7\u2019s coef\ufb01cients of variation do not de\ufb01ne or test that separation. In that sweep the parties are distributions whose accuracy is an input, and it is reported as a simulation rather than as validation.",
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