PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents

Recent research introduces PRIME, a framework for LLM agents that utilizes precommitted rules to ensure verifiable evidence-grounded reasoning when checking organizational requirements. This prevents agents from accepting failed checks or ignoring viable justification routes. Simultaneously, a new controlled LLM workflow improves the diagnosis of risk score differences. By integrating reference retrieval, contrastive SHAP evidence, and deterministic validation, this structured approach produces more consistent, traceable, and evidence-grounded diagnoses compared to standard LLM reasoning without guided workflows.