kaal:claim:7456999-058

The measured cohort contains real artifacts and deterministic verdicts, but contains no validation pool, stake, deliberation round, or reputation weight from the proposed mechanism.

Nothing in this cohort is modeled. The parties are real systems, the artifacts are real outputs, and the verdicts come from a checker rather than a parameter. What the cohort does not contain is the mechanism: no validation pool, no stake, no deliberation round, and no reputation weight in the sense of equation (1).

Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026), V. Empirical Evidence, p. 20
https://ssrn.com/abstract=7456999 · source PDF

Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026). SSRN: https://ssrn.com/abstract=7456999

• the evidentiary reach of the measured cohort

methodologicalsupport: evidencedempirical-evidenceresearch-methodsai-and-agents

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