Correct decisions, false records: a silent handoff that recovery misses
Anya Chueayen · Team Aqta
Submitted to Swarm Alignment Hackathon. Sprint projects are early-stage work by participants, not Apart Research publications.
An AI team can make the correct decision while publishing false facts. We tested this in a synthetic four-worker software-release review by silently omitting one real consumed dependency from the recovery planner's graph while its coverage label still claimed completeness.
In six designed Qwen cases using handoff-only CI evidence, the omission preserved two false CI facts in every final publication, although three of six release/hold decisions remained correct. Matched complete-graph and whole-team recovery were clean.
A separate exploratory Gemma follow-up reused the same six cases and reproduced the false-fact mechanism in all six, with two release/hold decisions still correct. Scores for the 108 main-study and 54 follow-up dependent cells were independently reconstructed from retained records and reported separately. The same six cases were reused across models, not sampled as 12 independent trials.
The report also accounts for the strict-parser failure, syntax-only JSON-fence amendment, exact-response replay and all 168 actual Gemma provider requests.
These controlled experiments identify a recovery blind spot: correct decisions do not guarantee that the information preserved by a multi-agent team is trustworthy.

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@misc{chueayen2026correct,
title = {{Correct decisions, false records: a silent handoff that recovery misses}},
author = {Anya Chueayen},
year = {2026},
month = nov,
note = {Submitted to Swarm Alignment Hackathon, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/correct-decisions-false-records-a-silent-handoff-that-recovery-misses-c35e7lwrmo}},
url = {https://apartresearch.com/sprints/projects/correct-decisions-false-records-a-silent-handoff-that-recovery-misses-c35e7lwrmo}
}Browse all projects