Broken commitments show up when speech and action are both visible
CHEN Xuanhui · Team Cicy
Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
We test whether one frozen monitor detects a broken public commitment more reliably when it sees both speech and action. In a diners dilemma, the same monitor receives four views: messages only, actions only, raw messages plus actions, and a structured report that compares public claims with outcomes. The model, prompt, and threshold (score at least 0.6) are fixed before evaluation. On balanced five-player games, single-side scores stay at 0.5, so the threshold predicts no violation. With both sides available, raw combined accuracy is 91.67% to 100%, and the structured report reaches 100% accuracy with a 0% false-positive rate. A mixed-model table shows the same pattern. The results do not estimate how often models break promises on their own, and they do not show collusion.
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@misc{xuanhui2026broken,
title = {{Broken commitments show up when speech and action are both visible}},
author = {CHEN Xuanhui},
year = {2026},
month = oct,
note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/broken-commitments-show-up-when-speech-and-action-are-both-visible-3xcl}},
url = {https://apartresearch.com/sprints/projects/broken-commitments-show-up-when-speech-and-action-are-both-visible-3xcl}
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