AI RESEARCH
DART: Semantic Recoverability for Structured Tool Agents
arXiv CS.AI
•
ArXi:2605.23311v1 Announce Type: new When a structured tool agent fails mid-execution, the runtime faces a dilemma: replaying the entire task is safe but wasteful, while restoring from a local checkpoint is efficient but can leave committed downstream work tied to an upstream history that no longer exists. This tension is acute in commitment-sensitive settings, where rollback targets a single failed instance yet downstream consumers have already acted on its output.