Evidence-Graded Evaluation for Autonomous Agents: A Fail-Closed Methodology
Year: 2026
Type: preprint
Abstract: Working paper v0.1. Proposes an evidence-graded, fail-closed evaluation methodology for autonomous agents: an E0-E4 evidence scale, a gate that refuses to pass on insufficient evidence, scope binding, and negative controls. Includes a case study of a 100/100 self-score versus a 89/100 internal audit traced to an empty test suite and version drift.
Author: Zhao, Xinghua
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225578861
