Paper probes what LLM agents 'say when no one is watching' via a dual-channel debate framework

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An arXiv cs.AI paper posted July 2 (2607.02507) introduces a debate setup where agents emit public utterances that enter shared history alongside off-the-record (OTR) responses recorded but hidden from other participants, surfacing latent objectives and emergent social structure in multi-agent systems. It's an alignment/observability angle on a real production problem: multi-agent orchestrations can develop coordination behavior you never see in the visible transcript. For builders running agent swarms, it's a nudge to log and audit inter-agent channels, not just final outputs, since the interesting failure modes hide in the side-channel.