The authors represent recovery as a persistent relational state containing repair frontiers, previous attempts, observations and checkpoints.
Persistent evidence helps long-horizon agents recover from earlier mistakes
BeliefWeaver retains evidence across retries, models relationships among possible repairs, and uses prospective reasoning to choose what to attempt next.
Big Tech
Xiyang Wu · Zhichao Liu · Shengxin zhang · Zongxia Li · Ming Li · Tianyi Zhou · +1 more
University of Maryland · Google · MBZUAI
Research Digest··2 min read
Wu and colleagues introduce BeliefWeaver, a recovery framework for agents whose failures may originate many actions before they become apparent.
Why this paper
From Google and 2 others
In one line
Persistent belief updates across rollback plus an implicit world model improve failure recovery in long-horizon agents, and distillation cuts teacher cost.
What we could check
- ·No code link found
- ·No weights link found
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- ✓Limitations stated by the authors (2 noted)
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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