Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation

ArXi:2604.15190v1 Announce Type: new Simulating group-level user behavior enables scalable counterfactual evaluation of ant strategies without costly online experiments. However, building a trustworthy simulator faces two structural challenges. First, information incompleteness causes reasoning-based simulators to over-rationalize when unobserved factors such as offline context and implicit habits are missing. Second, mechanism duality requires capturing both interpretable preferences and implicit statistical regularities, which no single paradigm achieves alone.