{"total":34,"rows":[{"id":"2510.12796","title":"DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving","created":"2025-10-14","cited_by_count":134,"area":"wm"},{"id":"2510.16732","title":"A Comprehensive Survey on World Models for Embodied AI","created":"2025-10-19","cited_by_count":68,"area":"wm"},{"id":"2509.24948","title":"World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training","created":"2025-09-29","cited_by_count":59,"area":"wm"},{"id":"2512.23421","title":"DriveLaW:Unifying Planning and Video Generation in a Latent Driving World","created":"2025-12-29","cited_by_count":47,"area":"wm"},{"id":"2602.06521","title":"DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving","created":"2026-02-06","cited_by_count":37,"area":"wm"},{"id":"2510.18313","title":"OmniNWM: Omniscient Driving Navigation World Models","created":"2025-10-21","cited_by_count":33,"area":"wm"},{"id":"2604.04198","title":"DriveVA: Video Action Models are Zero-Shot Drivers","created":"2026-04-05","cited_by_count":23,"area":"wm"},{"id":"2601.04453","title":"UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving","created":"2026-01-07","cited_by_count":20,"area":"wm"},{"id":"2604.01765","title":"DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning","created":"2026-04-02","cited_by_count":17,"area":"wm"},{"id":"2512.10226","title":"Latent Chain-of-Thought World Modeling for End-to-End Driving","created":"2025-12-11","cited_by_count":15,"area":"wm"},{"id":"2605.14696","title":"EponaV2: Driving World Model with Comprehensive Future Reasoning","created":"2026-05-14","cited_by_count":15,"area":"wm"},{"id":"2605.28544","title":"DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving","created":"2026-05-27","cited_by_count":14,"area":"wm"},{"id":"2603.14948","title":"Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation","created":"2026-03-16","cited_by_count":13,"area":"wm"},{"id":"2604.02714","title":"ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving","created":"2026-04-03","cited_by_count":12,"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":"2604.09059","title":"Learning Vision-Language-Action World Models for Autonomous Driving","created":"2026-04-10","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":"2604.18486","title":"Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation","created":"2026-04-20","cited_by_count":10,"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":"2606.01164","title":"Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends","created":"2026-05-31","cited_by_count":8,"area":"wm"},{"id":"2604.25329","title":"ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution","created":"2026-04-28","cited_by_count":4,"area":"wm"},{"id":"2603.09086","title":"Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges","created":"2026-03-10","cited_by_count":3,"area":"wm"},{"id":"2604.28196","title":"HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation","created":"2026-04-30","cited_by_count":3,"area":"wm"},{"id":"2605.15391","title":"PanoWorld: Geometry-Consistent Panoramic Video World Modeling","created":"2026-05-14","cited_by_count":3,"area":"wm"},{"id":"2512.03454","title":"Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles","created":"2025-12-03","cited_by_count":2,"area":"wm"},{"id":"2603.14941","title":"RS-WorldModel: a Unified Model for Remote Sensing Understanding and Future Sense Forecasting","created":"2026-03-16","cited_by_count":2,"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":"2606.27504","title":"ReWorld: Representation Learning for World Action Models","created":"2026-06-25","cited_by_count":2,"area":"wm"},{"id":"2605.10564","title":"DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving","created":"2026-05-11","cited_by_count":1,"area":"wm"},{"id":"2607.20988","title":"HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving","created":"2026-07-23","cited_by_count":1,"area":"wm"},{"id":"2605.22089","title":"LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model","created":"2026-05-21","cited_by_count":0,"area":"wm"},{"id":"2609.00610","title":"Streaming4D: Accelerate 4D World Models via Block-wise Video Generation and Incremental Reconstruction","created":"2026-09-01","cited_by_count":0,"area":"wm"},{"id":"2609.03572","title":"Drive-HWM: Hierarchical World Models for Dynamic-Latent Guided Autonomous Driving","created":"2026-09-03","cited_by_count":0,"area":"wm"},{"id":"2609.36851","title":"RoXDrive: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving via Action-Faithful Rollouts","created":"2026-09-29","cited_by_count":0,"area":"wm"}],"next_cursor":null}