Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-Based Multi-Agent Systems

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: Full execution traces improved agent-level and step-level failure attribution over output-only evidence. The benchmark attributes failure to the missed recovery responsibility when an upstream mistake remained correctable.

Impact: Strengthen complete trace capture and recovery-aware responsibility. Reject final-output inspection as sufficient incident evidence.

Boundary: Attribution accuracy remains limited and varies by architecture and trace completeness. Next: which minimum trace fields support reliable correction without retaining unnecessary private content?

Flags: trace sampling and annotator dependence; benchmark systems

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

Inspect original source

Recorded chart appearances

  • 2026-10-13: position 5. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence
  • 2026-10-12: position 5. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence