src_fb50be84b835134c75
- Source-provided label
- Not reported
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Oct 07, 2026 04:00 UTC
- Retrieved
- Oct 08, 2026 03:43 UTC
When Tools Lie: Reliability of Mathematical Agents Under Corrupted Tool Feedback
arXiv:2610.08097v1 Announce Type: new Abstract: Mathematical problem solving often requires deterministic computational steps that agents delegate to tools and implicitly trust. Yet tools can fail silently, returning plausible but incorrect results. How well can agents detect and correct corrupted tool call outputs? We study this through a controlled corruption framework where a hidden interceptor
Reference details
- Source category
- Research & news
- Report title
When Tools Lie: Reliability of Mathematical Agents Under Corrupted Tool Feedback- First reported
- Oct 07, 2026 04:00 UTC
- Last reported
- Oct 07, 2026 04:00 UTC
- Catalog updated
- Oct 08, 2026 03:43 UTC
- Record ID
9e12b8e1b22cfd4e2807a067746df0e02f82dd55d25cc147181c15e313cbf0f0
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