# kaal:claim:7456999-019

**Claim.** RLRF uses a two-round validation protocol whose validators stake non-transferable reputation and whose domain models update through verification.

**Type.** mechanism  **Support.** argued

**Holds when.**

- the proposed RLRF architecture

**Source quote.**

> It is the outcome of a two- round validation protocol executed by a pool of computative agents who stake non- transferable reputation tokens and whose domain models update through the verification cycle itself.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), I. Introduction, page 6

**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, reputation, governance-design

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