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  3. Efficient Failure Management for Multi-Agent Systems with Re
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Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation

PDF: https://arxiv.org/pdf/2603.21522v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation

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Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

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References: 0

Sources: 0

Coverage: 17%

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Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems
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Prior Work
E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory
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Competing Approach
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
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Competing Approach
Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation
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Competing Approach
Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning
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Competing Approach
Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge
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