Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2610.28286.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Paper formalizes LLM agent team collaboration as block optimization: each agent improves one part of a shared solution, a coordinator merges proposals that do not interfere, and convergence is proven linear. On robot routing with GPT-OSS-120B, a three-agent team finds collision-free plans where a single agent fails, and a six-agent team is about twice as fast; merging the best checked combination cuts search time by about 30%.

Formal convergence proof for multi-agent LLM teams is uncommon. The block-optimization framing plus measured results offers a principled alternative to empirically tuned orchestration protocols.

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