Explore/benchmark/Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures
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Harsh Raj, David Lee, Anas Mahmoud, Renxiong Wang, Razvan-Gabriel Dumitru, Chenguang Wang, Tong Zhao, Yunzhong He, Darvin Yi, Vipul Gupta/Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent FailuresUnknown

Root‑Cause Attribution Is a Search Problem presents a continual search framework for diagnosing failures in long‑horizon AI agent execution logs, improving attribution accuracy on large traces. It also introduces MegaRCA‑Mix, a new benchmark of 50 human‑annotated failure trials for evaluating agent RCA at scale.

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AgentHub Score
55 / 100
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Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
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Practical assessment
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✓ Best for

  • Research and experimentation
  • Prototype development
  • Learning agentic patterns

◎ Strengths

  • Active community
  • Open source
  • Well-documented API

✕ Not ideal for

  • Untested at scale without validation
  • Teams without AI/ML expertise

⚠ Watch-outs

  • Review changelog before updating
  • Verify license for commercial use
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Sourcearxiv
Open source✗ No
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AgentHub Score

55
Score 55/100
Below average

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