# kaal:claim:7456999-005

**Claim.** Sybil resistance is only a design objective because the detector, dispersion statistic, threshold, error model, reputation update, Round 2 update, and critical share are unspecified.

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

**Holds when.**

- the current RLRF specification

**Source quote.**

> It states Sybil resistance as a design objective whose detector, dispersion statistic, threshold, error model, update, Round 2 update, and are unspecified.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), Abstract, page 1

**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.** consensus-and-security, reputation, governance-design

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.