# kaal:claim:7456999-039

**Claim.** Round 1 is a zero-slashing cheap-talk round that elicits private information without economic commitment.

**Type.** design  **Support.** argued

**Holds when.**

- the Trial Vote round of the proposed protocol

**Source quote.**

> Critically, Round 1 operates under a slashing intensity parameter set to zero: no REP is redistributed based on Round 1 outcomes. Under the terminology of Crawford and Sobel (1982), Round 1 functions as a cheap-talk round that elicits private information without economic commitment.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), III.D.1 Structure of the Two-Round 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.** reputation, risk-and-incentives, 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.