Ask the World Before Acting: Environment Probing for Calibrating Agent World Models

arXiv:2606.31422 · cs.AI · Submitted 2026-06-30 · Read on arXiv

cs.AI

Submitted: 2026-06-30

Updated: 2026-10-20

Terminology

• World Model — 2× in this paper · explained in 7 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 9 episodes
• Reasoning Traces — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems