Evidence-grounded oversight for long-horizon AI agents

New work is shifting agent evaluation from simple task success toward auditable evidence of what an agent did and why. AgentMonBench and evidence-grounded behavior graphs report gains across eight models, but realism, monitor reliability, and scalability to extended workflows remain unresolved.