# kaal:claim:7456999-059

**Claim.** Across all 564 records, checked-case and withheld-case accuracy have a rank correlation of +0.811, with mean accuracies of 0.702 and 0.608.

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

**Holds when.**

- the measured cohort at record level

**Source quote.**

> At the record level across all five hundred and sixty-four observations it is +0.811. Mean accuracy on checked cases is 0.702 and on withheld cases 0.608, a gap of 0.094.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), V.A.1 A record transfers, among the parties that submitted, page 21

**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.