# kaal:claim:7456999-025

**Claim.** Reliability-weighted assessment is established prior work, while RLRF's stated difference is that the weight is an economic position the assessor can lose.

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

**Holds when.**

- comparison with reliability-weighted crowdsourcing

**Source quote.**

> RLRF’s reputation weight is a member of this family. What is not in this family is that the weight is an economic position the assessor can lose, rather than a latent variable the aggregator infers about them.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), II.D The Nearest Literatures, and What Is Left Over, page 9

**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, economics, 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.