Story · arXiv
UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents (arXiv)
paper · Story page
Counterfactual paired trials under identical seeds pull fault recovery apart from ordinary planning competence. In the frozen lost-acknowledgment study nominal completion reached 83.54% while conditional recovery success fell to 46.72%, and naive retry produced duplicate external effects in 53.33% of trials.
In plain words
- Researchers found that artificial intelligence assistants could complete ordinary tasks yet struggle when confirmation of an action went missing.
- The tests compared matching tasks with and without faults to measure the assistants' ability to recover.
- Retrying after a missing confirmation sometimes repeated an action that had already happened.
- Businesses using these assistants face a risk of unwanted repeated changes when communication fails.
Appeared in
- Claude Code's Bash tool changed 12% of calls carrying code or escapes
Oct 07, 2026 · in the sections
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