# kaal:claim:6192998-032

**Claim.** Multi agent competition improves attack resistance because it creates multiple attack surfaces that must all succeed simultaneously, and citation transparency makes collusion detectable; with a fifty percent quality penalty for detected collusion the corruption cost doubles relative to the original framework.

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

**Holds when.**

- validators actively penalize detected collusion
- honest agents compete on quality in the same jobs

**Source quote.**

> This improved security stems from multi-agent competition creating multiple attack surfaces that must all succeed simultaneously, combined with citation transparency enabling collusion detection.

**From.** Wulf A. Kaal, *Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution* (2026), IV.F. Attack Resistance Under Multi-Agent Framework, page 45

**Cite as.** Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution (2026). SSRN: https://ssrn.com/abstract=6192998

**Verify.** sha256 of source PDF `b04292561ee041e0c9eaa7eca28a410ed440e76a95743a539361a3f76c97f2b3` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Evolution%20of%20Domain-Specific%20Reputation%20Systems%20From%20Binary%20Validation%20to%20Citation-Weighted%20Knowledge%20Attribution.pdf

**Topics.** consensus-and-security, ai-and-agents, economics

**Keywords.** attack-resistance, collusion-detection, multi-agent-competition, corruption-cost, sybil-resistance

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