Researchers propose a new approach to retrieval for coding agents, focusing on recovering minimal sufficient evidence to support decision-making. They introduce State-Conditioned Minimal Sufficient Evidence Recovery (SERBench) and evaluate its effectiveness on a dataset of 500 agent states, showing significant improvements over existing methods.