Verify Claims, Not Scores: Evidence-Based Verification of Modular Agents

Excerpt

arXiv:2610.01348v1 Announce Type: cross Abstract: When developers change one component of an agent, such as its controller, a learned model or its verifier, they usually judge the change by an aggregate task score. That score cannot tell whether improvement was attainable, which component lost value, or what the agent's own checks certify. We introduce a claim-specific verification audit for modular agents that plan, act, check and refine. Instead of scoring the agent, the audit scores the evide