ArXiv paper proposing a framework for compliance-bounded self-evolution of LLM agents in credit pipelines. The framework restricts self-improvement to the runtime harness while keeping model weights fixed, allowing for reviewable adaptations. The authors demonstrate the effectiveness of their approach in simulation, rejecting harmful changes and restoring false-positive rates to oracle levels.