{"total":17,"rows":[{"id":"2605.14696","title":"EponaV2: Driving World Model with Comprehensive Future Reasoning","created":"2026-05-14","cited_by_count":15,"area":"wm"},{"id":"2605.10426","title":"CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving","created":"2026-05-11","cited_by_count":12,"area":"wm"},{"id":"2603.27287","title":"Uni-World VLA: Interleaved World Modeling and Planning for Autonomous Driving","created":"2026-03-28","cited_by_count":11,"area":"wm"},{"id":"2606.15869","title":"Metis: A Generalizable and Efficient World-Action Model for Autonomous Driving and Urban Navigation","created":"2026-06-14","cited_by_count":11,"area":"wm"},{"id":"2608.07468","title":"SimWAM: A Simple World Action Model for End-to-End Autonomous Driving","created":"2026-08-07","cited_by_count":9,"area":"wm"},{"id":"2605.11550","title":"The DAWN of World-Action Interactive Models","created":"2026-05-12","cited_by_count":8,"area":"wm"},{"id":"2605.31476","title":"IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving","created":"2026-05-29","cited_by_count":2,"area":"wm"},{"id":"2606.31226","title":"ForgeDrive: Bidirectional Cross-Conditioning for Unified Visual-Action Generation in Autonomous Driving","created":"2026-06-30","cited_by_count":2,"area":"wm"},{"id":"2608.10107","title":"4D-WAM: 4D Consistent World Modeling for Autonomous Driving","created":"2026-08-10","cited_by_count":1,"area":"wm"},{"id":"2610.13781","title":"SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving World Action Models","created":"2026-10-09","cited_by_count":1,"area":"wm"},{"id":"2606.28758","title":"X-Mind: Efficient Visual Chain-of-Thought via Predictive World Model for End-to-End Driving","created":"2026-06-27","cited_by_count":0,"area":"wm"},{"id":"2608.20111","title":"Planning-Oriented End-to-End Autonomous Driving: Architectures, Evaluation, and Emerging Paradigms","created":"2026-08-20","cited_by_count":0,"area":"wm"},{"id":"2609.17728","title":"RAF-VLA: Representation Alignment with the Future for End-to-End Autonomous Driving","created":"2026-09-15","cited_by_count":0,"area":"wm"},{"id":"2609.33854","title":"ReDrive: Shaping Representations with World Modeling for End-to-End Driving","created":"2026-09-27","cited_by_count":0,"area":"wm"},{"id":"2610.14871","title":"MORE: Learning Motion-Oriented Registers for Driving World Models and Planning","created":"2026-10-10","cited_by_count":0,"area":"wm"},{"id":"2610.17903","title":"DriveWLA: Unifying Future Dynamics and Scene Semantics through World-Language-Action Modeling for Autonomous Driving","created":"2026-10-13","cited_by_count":0,"area":"wm"},{"id":"2610.20604","title":"VITAL: From Visual Motion to Precise Action","created":"2026-10-14","cited_by_count":0,"area":"wm"}],"next_cursor":null}