Tag
This paper introduces dependency-guided rollback repair for memory-augmented agents, a method that builds a typed memory-to-action graph from runtime provenance to selectively undo faulty memory effects while preserving benign state, achieving strong recovery on benchmarks.
This paper argues for localized fault recovery mechanisms in distributed systems, emphasizing the benefits of fixing failures at the component level rather than relying on global recovery.