arXiv — cs.AI preprintsInternational12 October 2026
GenCoord: Executable Commitments for Embodied LLM Agents under Private Information
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arXiv:2608.22055v3 Announce Type: replace Abstract: Embodied language-model agents must coordinate interdependent actions while each holds private task information. In dialogue-based coordination, models generate messages and interpret replies to decide what each agent should do, spending inference before the team acts. We propose GenCoord, a decentralized protocol that makes the division of work itself the message. A proposal pairs the sender's skill path with its partner's continuation in Short DSL, a compact language for expressing joint work. Compatible paths form commitments linking the s
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