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arXiv — cs.AI

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ARIA: Runtime Inspection and Amendment for Multi-Agent Systems

arXiv:2610.20780v1 Announce Type: new Abstract: In LLM-based multi-agent systems (MAS), a local mistake can propagate as other agents build on it, turning a correctable error into a failed task. Diagnosing completed runs or repeatedly re-executing them to search for corrections…

arXiv — cs.AIBy: Bolin Shen, Yushun DongOctober 16, 2026 (4 days ago)
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  • arXiv:2610.20780v1 Announce Type: new Abstract: In LLM-based multi-agent systems (MAS), a local mistake can propagate as other agents build on it, turning a correctable error into a failed task
  • Diagnosing completed runs or repeatedly re-executing them to search for corrections…
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ARIA: Runtime Inspection and Amendment for Multi-Agent Systems

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