# kaal:claim:7456999-009

**Claim.** On the measured cohort, the highest-record selector beats uniform selection by 0.243 with a ninety-five percent interval of [0.102, 0.384].

**Type.** empirical  **Support.** evidenced

**Holds when.**

- the measured cohort and its twenty-two decidable specifications

**Source quote.**

> On that cohort, a selector that takes the party with the best record beats uniform selection by 0.243 with a ninety-five percent interval of [0.102, 0.384].

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), Abstract, page 1

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

**Verify.** sha256 of source PDF `01016fbbcc25cad205cebd59ea686d8dfee8ae9b632095d86ba6c9a900456a4b` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Reinforcement%20Learning%20from%20Reputation%20Feedback.pdf

**Topics.** empirical-evidence, reputation, ai-and-agents

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.