AI RESEARCH
Phase-Scheduled Multi-Agent Systems for Token-Efficient Coordination
arXiv CS.AI
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ArXi:2604.17400v1 Announce Type: new Multi-agent systems (MAS) powered by large language models suffer from severe token inefficiency arising from two compounding sources: (i) unstructured parallel execution, where all agents activate simultaneously irrespective of input readiness; and (ii) unrestricted context sharing, where every agent receives the full accumulated context regardless of relevance.