{"total":104,"rows":[{"id":"2501.03575","title":"Cosmos World Foundation Model Platform for Physical AI","created":"2025-01-07","cited_by_count":864,"area":"wm"},{"id":"2405.17398","title":"Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability","created":"2024-05-27","cited_by_count":347,"area":"wm"},{"id":"2411.02385","title":"How Far is Video Generation from World Model: A Physical Law Perspective","created":"2024-11-04","cited_by_count":212,"area":"wm"},{"id":"2403.06845","title":"DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation","created":"2024-03-11","cited_by_count":191,"area":"wm"},{"id":"2406.08481","title":"Enhancing End-to-End Autonomous Driving with Latent World Model","created":"2024-06-12","cited_by_count":166,"area":"wm"},{"id":"2403.09630","title":"GenAD: Generalized Predictive Model for Autonomous Driving","created":"2024-03-14","cited_by_count":150,"area":"wm"},{"id":"2312.03661","title":"Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving","created":"2023-12-06","cited_by_count":123,"area":"lr"},{"id":"2405.03520","title":"Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond","created":"2024-05-06","cited_by_count":111,"area":"wm"},{"id":"2412.18607","title":"DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers","created":"2024-12-24","cited_by_count":96,"area":"wm"},{"id":"2401.09985","title":"WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens","created":"2024-01-18","cited_by_count":89,"area":"wm"},{"id":"2412.14446","title":"VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision","created":"2024-12-19","cited_by_count":86,"area":"lr"},{"id":"2403.02622","title":"World Models for Autonomous Driving: An Initial Survey","created":"2024-03-05","cited_by_count":80,"area":"wm"},{"id":"2412.11198","title":"GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control","created":"2024-12-15","cited_by_count":78,"area":"wm"},{"id":"2506.24044","title":"A Survey on Vision-Language-Action Models for Autonomous Driving","created":"2025-06-30","cited_by_count":72,"area":"mllm"},{"id":"2408.14197","title":"Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving","created":"2024-08-26","cited_by_count":69,"area":"wm"},{"id":"2509.07996","title":"3D and 4D World Modeling: A Survey","created":"2025-09-04","cited_by_count":67,"area":"wm"},{"id":"2401.01454","title":"A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook","created":"2024-01-02","cited_by_count":66,"area":null},{"id":"2412.19505","title":"DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT","created":"2024-12-27","cited_by_count":66,"area":"wm"},{"id":"2501.14729","title":"HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation","created":"2025-01-24","cited_by_count":56,"area":"wm"},{"id":"2406.01349","title":"Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation","created":"2024-06-03","cited_by_count":55,"area":"wm"},{"id":"2507.00917","title":"A Survey: Learning Embodied Intelligence from Physical Simulators and World Models","created":"2025-07-01","cited_by_count":51,"area":"wm"},{"id":"2412.14957","title":"Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination","created":"2024-12-19","cited_by_count":45,"area":"wm"},{"id":"2506.11526","title":"Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis","created":"2025-06-13","cited_by_count":38,"area":"driving"},{"id":"2501.02765","title":"Visual Large Language Models for Generalized and Specialized Applications","created":"2025-01-06","cited_by_count":36,"area":"mllm"},{"id":"2505.05108","title":"Multi-agent Embodied AI: Advances and Future Directions","created":"2025-05-08","cited_by_count":36,"area":null},{"id":"2406.09386","title":"SimGen: Simulator-conditioned Driving Scene Generation","created":"2024-06-13","cited_by_count":34,"area":null},{"id":"2510.19654","title":"From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction","created":"2025-10-22","cited_by_count":33,"area":"wm"},{"id":"2512.16760","title":"Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future","created":"2025-12-18","cited_by_count":33,"area":"vla"},{"id":"2312.04316","title":"Towards Knowledge-driven Autonomous Driving","created":"2023-12-07","cited_by_count":29,"area":"driving"},{"id":"2410.10738","title":"DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model","created":"2024-10-14","cited_by_count":25,"area":"wm"},{"id":"2508.11428","title":"ImagiDrive: A Unified Imagination-and-Planning Framework for Autonomous Driving","created":"2025-08-15","cited_by_count":25,"area":"driving"},{"id":"2401.08045","title":"Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities","created":"2024-01-16","cited_by_count":24,"area":"driving"},{"id":"2402.02968","title":"Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives","created":"2024-02-05","cited_by_count":23,"area":null},{"id":"2412.01407","title":"HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving","created":"2024-12-02","cited_by_count":23,"area":"driving"},{"id":"2504.21853","title":"A Survey of Interactive Generative Video","created":"2025-04-30","cited_by_count":23,"area":null},{"id":"2512.10958","title":"WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World","created":"2025-12-11","cited_by_count":23,"area":"wm"},{"id":"2408.04821","title":"VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving","created":"2024-08-09","cited_by_count":22,"area":"driving"},{"id":"2412.00171","title":"RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World","created":"2024-11-29","cited_by_count":22,"area":null},{"id":"2503.13587","title":"UniFuture: A 4D Driving World Model for Future Generation and Perception","created":"2025-03-17","cited_by_count":22,"area":"wm"},{"id":"2407.05679","title":"BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents","created":"2024-07-08","cited_by_count":21,"area":"wm"},{"id":"2412.01522","title":"InfinityDrive: Breaking Time Limits in Driving World Models","created":"2024-12-02","cited_by_count":21,"area":"wm"},{"id":"2405.18361","title":"Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?","created":"2024-05-28","cited_by_count":20,"area":"lr"},{"id":"2412.13772","title":"An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training","created":"2024-12-18","cited_by_count":18,"area":"wm"},{"id":"2503.15875","title":"MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving","created":"2025-03-20","cited_by_count":18,"area":"wm"},{"id":"2507.13162","title":"Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models","created":"2025-07-17","cited_by_count":17,"area":"wm"},{"id":"2605.09701","title":"DriveFuture: Future-Aware Latent World Models for Autonomous Driving","created":"2026-05-10","cited_by_count":17,"area":"wm"},{"id":"2410.17491","title":"X-MOBILITY: End-To-End Generalizable Navigation via World Modeling","created":"2024-10-23","cited_by_count":16,"area":"wm"},{"id":"2504.18576","title":"DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment","created":"2025-04-22","cited_by_count":16,"area":"wm"},{"id":"2508.15720","title":"WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception","created":"2025-08-21","cited_by_count":16,"area":null},{"id":"2406.03474","title":"AD-H: Language-guided Autonomous Driving with Hierarchical Agents","created":"2024-06-05","cited_by_count":15,"area":"driving"},{"id":"2511.08585","title":"Simulating the Visual World with Artificial Intelligence: A Roadmap","created":"2025-11-11","cited_by_count":15,"area":"wm"},{"id":"2411.02914","title":"Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey","created":"2024-11-05","cited_by_count":14,"area":"wm"},{"id":"2412.05337","title":"ACT-Bench: Towards Action Controllable World Models for Autonomous Driving","created":"2024-12-06","cited_by_count":14,"area":"wm"},{"id":"2412.09647","title":"Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model","created":"2024-12-11","cited_by_count":14,"area":"driving"},{"id":"2511.20325","title":"AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models","created":"2025-11-25","cited_by_count":14,"area":"wm"},{"id":"2405.09111","title":"CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving","created":"2024-05-15","cited_by_count":13,"area":"wm"},{"id":"2412.08410","title":"Physical Informed Driving World Model","created":"2024-12-11","cited_by_count":13,"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":"2412.08468","title":"Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation","created":"2024-12-11","cited_by_count":12,"area":null},{"id":"2505.18650","title":"ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos","created":"2025-05-24","cited_by_count":11,"area":"wm"},{"id":"2602.08440","title":"SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios","created":"2026-02-09","cited_by_count":11,"area":"vla"},{"id":"2604.09059","title":"Learning Vision-Language-Action World Models for Autonomous Driving","created":"2026-04-10","cited_by_count":11,"area":"wm"},{"id":"2411.07690","title":"World Models: The Safety Perspective","created":"2024-11-12","cited_by_count":9,"area":"wm"},{"id":"2506.01546","title":"LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model","created":"2025-06-02","cited_by_count":9,"area":"wm"},{"id":"2409.15730","title":"Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving","created":"2024-09-24","cited_by_count":8,"area":"wm"},{"id":"2410.15359","title":"Hallucination in Multimodal Foundation Models: A Survey on Causes, Corrections, and Evaluations","created":"2024-10-20","cited_by_count":8,"area":null},{"id":"2602.03242","title":"InstaDrive: Instance-Aware Driving World Models for Realistic and Consistent Video Generation","created":"2026-02-03","cited_by_count":8,"area":"wm"},{"id":"2602.18887","title":"SafeDrive: Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse World","created":"2026-02-21","cited_by_count":8,"area":"driving"},{"id":"2605.11550","title":"The DAWN of World-Action Interactive Models","created":"2026-05-12","cited_by_count":8,"area":"wm"},{"id":"2609.16074","title":"World-Action Models for Robot Learning and Control: A Survey","created":"2026-09-13","cited_by_count":6,"area":"wm"},{"id":"2406.05651","title":"A Superalignment Framework in Autonomous Driving with Large Language Models","created":"2024-06-09","cited_by_count":5,"area":"mllm"},{"id":"2409.10484","title":"XLM for Autonomous Driving Systems: A Comprehensive Review","created":"2024-09-16","cited_by_count":5,"area":"driving"},{"id":"2503.07338","title":"Delta-Triplane Transformers as Occupancy World Models","created":"2025-03-10","cited_by_count":5,"area":"wm"},{"id":"2505.05240","title":"PADriver: Towards Personalized Autonomous Driving","created":"2025-05-08","cited_by_count":5,"area":"driving"},{"id":"2505.09074","title":"Trends in Motion Prediction Toward Deployable and Generalizable Autonomy: A Revisit and Perspectives","created":"2025-05-14","cited_by_count":5,"area":"wm"},{"id":"2512.14225","title":"OmniGen: Unified Multimodal Sensor Generation for Autonomous Driving","created":"2025-12-16","cited_by_count":5,"area":null},{"id":"2601.13247","title":"Aligning Agentic World Models via Knowledgeable Experience Learning","created":"2026-01-19","cited_by_count":5,"area":"wm"},{"id":"2603.28489","title":"Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms","created":"2026-03-30","cited_by_count":5,"area":"wm"},{"id":"2409.14165","title":"A Survey on Large Language Model-empowered Autonomous Driving","created":"2024-09-21","cited_by_count":4,"area":"driving"},{"id":"2603.13399","title":"FlowAD: Ego-Scene Interactive Modeling for Autonomous Driving","created":"2026-03-11","cited_by_count":4,"area":"driving"},{"id":"2603.26546","title":"AutoWeather4D: Autonomous Driving Video Weather Conversion via G-Buffer Dual-Pass Editing","created":"2026-03-27","cited_by_count":4,"area":null},{"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":"2505.15863","title":"Generative AI for Autonomous Driving: A Review","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2508.16512","title":"Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation","created":"2025-08-22","cited_by_count":3,"area":"wm"},{"id":"2510.16729","title":"Vision-Centric 4D Occupancy Forecasting and Planning via Implicit Residual World Models","created":"2025-10-19","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":"2408.17222","title":"How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception","created":"2024-08-30","cited_by_count":2,"area":null},{"id":"2410.02253","title":"From Imitation to Exploration: End-to-end Autonomous Driving based on World Model","created":"2024-10-03","cited_by_count":2,"area":"wm"},{"id":"2510.18123","title":"SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving","created":"2025-10-20","cited_by_count":2,"area":"driving"},{"id":"2511.13297","title":"CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving","created":"2025-11-17","cited_by_count":2,"area":"driving"},{"id":"2602.03213","title":"ConsisDrive: Identity-Preserving Driving World Models for Video Generation by Instance Mask","created":"2026-02-03","cited_by_count":2,"area":"wm"},{"id":"2603.09512","title":"Probing the Reliability of Driving VLMs: From Inconsistent Responses to Grounded Temporal Reasoning","created":"2026-03-10","cited_by_count":2,"area":"lr"},{"id":"2605.24354","title":"SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation","created":"2026-05-23","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":"2608.12854","title":"BrainWAM: Action-Space Coordination of Semantic Priors and Predictive Dynamics for Autonomous Driving","created":"2026-08-13","cited_by_count":2,"area":"wm"},{"id":"2512.11944","title":"A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach","created":"2025-12-12","cited_by_count":1,"area":null},{"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":"2402.10079","title":"Data-driven Camera and Lidar Simulation Models for Autonomous Driving: A Review from Generative Models to Volume Renderers","created":"2024-01-29","cited_by_count":0,"area":null},{"id":"2503.10410","title":"RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation","created":"2025-03-13","cited_by_count":0,"area":null},{"id":"2603.14497","title":"WorldVLM: Combining World Model Forecasting and Vision-Language Reasoning","created":"2026-03-15","cited_by_count":0,"area":"wm"}],"next_cursor":"100"}