# kaal:claim:7456999-068

**Claim.** A fitted reputation reward model can learn style correlations absent from an externally checked outcome, and no such reward model is trained or tested in the paper.

**Type.** failure  **Support.** asserted

**Holds when.**

- the proposed Reputation Reward Model in Stage 2

**Source quote.**

> A fitted model can learn style correlations absent from . No RRM is trained or tested in this paper, so resistance to reward hacking is not claimed.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), VI.B Stage 2: Reputation Reward Model, page 26

**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.** ai-and-agents, research-methods, risk-and-incentives

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