AI RESEARCH
Coordination as an Architectural Layer for LLM-Based Multi-Agent Systems
arXiv CS.LG
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ArXi:2605.03310v1 Announce Type: cross Multi-agent LLM systems fail in production at rates between 41% and 87%, mostly due to coordination defects rather than base-model capability. Existing responses split between cataloguing failure modes empirically and shipping declarative orchestration frameworks as engineering tools; neither delivers a principled mapping from coordination configuration to predictable failure-mode signature.