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Sprint projectOct 25, 2026North Bergen

The Truthfulness Trap: Why Claim Verification Missed Multi-Agent Steering

Dele Atanda · Team metaProof///Metaye

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

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Report: The Truthfulness Trap: Why Claim Verification Missed Multi-Agent Steering

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We built a deterministic claim-attestation enforcer for Colosseum’s JiraTicket environment. It passed a blind held-out parser gate: 103/103 precision, 0/46 false self-attributions, 0/120 false denials. Neither positive control produced reliable harm. Qwen2.5-32B coalitions coordinated cooperatively (honest regret 0). An exploratory steering effect (regret 22.2 vs 0.0) did not replicate on fresh seeds (0/3). So the enforcement comparison was not run, and we make no harm-reduction claim. An offline replay found that none of the 17 heuristic-identified steering messages contained a parseable claim, which puts all of them outside the enforcer’s inspection boundary. Our conclusion is that the truthfulness of the information an agent passes on is distinct from the legitimacy of its influence over another agent’s decision.

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Cite this project

@misc{atanda2026truthfulness,
  title = {{The Truthfulness Trap: Why Claim Verification Missed Multi-Agent Steering}},
  author = {Dele Atanda},
  year = {2026},
  month = oct,
  note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/the-truthfulness-trap-why-claim-verification-missed-multiagent-steering-i9hl}},
  url = {https://apartresearch.com/sprints/projects/the-truthfulness-trap-why-claim-verification-missed-multiagent-steering-i9hl}
}

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