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Sprint projectOct 24, 2026Hong Kong

ColluScope: Evidence-Bounded Auditing of Multi-Agent LLM Collusion Claims

Bao Bowen · Team ColluScope

Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: ColluScope: Evidence-Bounded Auditing of Multi-Agent LLM Collusion Claims

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ColluScope tests a prerequisite for multi-agent collusion audits: whether factual claims remain bound to authorized source records. On a fixed 124-case challenge derived from saved Jira-agent traces, we compared an unbound auditor, a source-bound version, and an always-abstain baseline. The unbound auditor accepted all 12 designed source substitutions; source binding accepted none while retaining 38/38 clean supported rows. The always-abstain baseline retained 0/38. Two monitor development pilots failed their prespecified validity gates, so no held-out efficacy estimate was produced. These results support a finite source-integrity contract; they do not establish collusion, agreement, intent, causal effects, or real-world detector accuracy.

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Cite this project

@misc{bowen2026colluscope,
  title = {{ColluScope: Evidence-Bounded Auditing of Multi-Agent LLM Collusion Claims}},
  author = {Bao Bowen},
  year = {2026},
  month = oct,
  note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/colluscope-evidencebounded-auditing-of-multiagent-llm-collusion-claims-wf8o}},
  url = {https://apartresearch.com/sprints/projects/colluscope-evidencebounded-auditing-of-multiagent-llm-collusion-claims-wf8o}
}

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