# kaal:claim:7456999-038

**Claim.** The two-round protocol is proposed to collect more structured data than a scalar label, but the paper does not establish that the added fields contain more information about policy quality.

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

**Holds when.**

- the intended information gain of the two-round protocol

**Source quote.**

> This section develops a two-round validation protocol that uses the distinction between cheap-talk information revelation and costly-signal commitment (Crawford and Sobel 1982) to collect more structured data than a single scalar label. Whether the added fields contain additional information about is not established.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), III.D The Two-Round Validation Protocol, page 13

**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, reputation

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