CONNECTED THINKING

Knowledge atlas

Follow people, viewpoints and their original evidence.

1 people · 1 sources · 1 viewpoints

IN CONTEXT

failure analysis in AI systems

Choose a viewpoint. Follow it back to the conversation.

Root-cause failure analysis requires detailed trace records

IN CONTEXTfailure analysis in AI systems1 viewpoints
2026-07-04

Equal sectors are reading positions, not rankings.

Showing 1–1 of 1 viewpoints · Newest sources first

1 / 1

Selected viewpoint

Root-cause failure analysis requires detailed trace records

To uncover root causes of failures, failure records must contain the terminal verifier-level cause, the causal status of relevant agent behavior, and the abstract agent mechanism exposed by the trace—because surface-level verifier outcomes (e.g., timeout or missing artifact) can mask distinct underlying causal mechanisms.

These are individual perspectives, not a measure of consensus. Source material stays in its original language.

Supporting evidence

Harness Engineering for Self-Improvement

Original excerpt

Weakness mining : cluster failures into verifier-grounded failure patterns. The current harness $h_t$ is used to evaluate on tasks and execution traces are collected for analysis. Note that two runs can share the same verifier outcome in the error logs on the surface, such as timeout or missing artifact, while having different causal mechanisms. Therefore we need a failure record of rich information, containing the terminal verifier-level cause, the causal status of the relevant agent behavior, and the abstract agent mechanism exposed by the trace, to uncover the root causes.

Publication dates describe the sources, not changes in belief.