{"total":21,"rows":[{"id":"2602.15922","title":"World Action Models are Zero-shot Policies","created":"2026-02-17","cited_by_count":465,"area":"wm"},{"id":"2601.21998","title":"Causal World Modeling for Robot Control","created":"2026-01-29","cited_by_count":321,"area":"wm"},{"id":"2505.15659","title":"FLARE: Robot Learning with Implicit World Modeling","created":"2025-05-21","cited_by_count":113,"area":"wm"},{"id":"2511.17502","title":"RynnVLA-002: A Unified Vision-Language-Action and World Model","created":"2025-11-21","cited_by_count":74,"area":"wm"},{"id":"2510.00406","title":"VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators","created":"2025-10-01","cited_by_count":67,"area":"wm"},{"id":"2507.23682","title":"villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models","created":"2025-07-31","cited_by_count":63,"area":"wm"},{"id":"2508.18269","title":"FlowVLA: Visual Chain of Thought-based Motion Reasoning for Vision-Language-Action Models","created":"2025-08-25","cited_by_count":50,"area":"wm"},{"id":"2511.14659","title":"NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards","created":"2025-11-18","cited_by_count":26,"area":"wm"},{"id":"2603.08519","title":"AtomVLA: Scalable Post-Training for Robotic Manipulation via Predictive Latent World Models","created":"2026-03-09","cited_by_count":23,"area":"wm"},{"id":"2606.11187","title":"Next Forcing: Causal World Modeling with Multi-Chunk Prediction","created":"2026-06-09","cited_by_count":18,"area":"wm"},{"id":"2511.21690","title":"TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos","created":"2025-11-26","cited_by_count":15,"area":"wm"},{"id":"2604.05498","title":"JailWAM: Jailbreaking World Action Models in Robot Control","created":"2026-04-07","cited_by_count":6,"area":"wm"},{"id":"2605.17522","title":"RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation","created":"2026-05-17","cited_by_count":5,"area":"wm"},{"id":"2509.15536","title":"SAMPO:Scale-wise Autoregression with Motion PrOmpt for generative world models","created":"2025-09-19","cited_by_count":4,"area":"wm"},{"id":"2607.27924","title":"ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow","created":"2026-07-30","cited_by_count":4,"area":"wm"},{"id":"2605.25829","title":"OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation","created":"2026-05-25","cited_by_count":3,"area":"wm"},{"id":"2607.26657","title":"Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control","created":"2026-07-29","cited_by_count":3,"area":"wm"},{"id":"2607.25918","title":"DC-WAM: Dynamic-Centric Visual Supervision and Reasoning for World-Action Models","created":"2026-07-28","cited_by_count":2,"area":"wm"},{"id":"2608.01381","title":"DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation","created":"2026-08-02","cited_by_count":2,"area":"wm"},{"id":"2608.24101","title":"TrAct: Bridging Robot Control and Visual Prediction with Visual Tracks","created":"2026-08-25","cited_by_count":2,"area":"wm"},{"id":"2610.03516","title":"XGenAct: Geometry-Enhanced World Action Models through Cross-Task Generation","created":"2026-10-02","cited_by_count":0,"area":"wm"}],"next_cursor":null}