An unsupervised stage-level diagnostic is developed that localizes silent failures to the responsible operation at 76.2% accuracy and establishes circuit-level signatures as a practical handle for monitoring agent memory and guiding its structural design.
Xutao Mao, Jin-Man Zhao, Gerald Penn et al.· arXiv.org· 1 citation
This work proposes SafeEvolve, which checks each skill when it is written and when a later task retrieves it, and introduces SkillMisevo-Gym, which clears every task session but keeps the skill library, so each of these steps can be checked separately.
This work presents AHA, a falsifiable discovery loop that proposes a vulnerability hypothesis, constructs a falsifier, instantiates a valid attack, executes it in a sandboxed harness, reflects on the trajectory, and promotes confirmed findings into a Vulnerability Concept Graph (VCG), which provides an auditable artifa...
