{"total":161,"rows":[{"id":"2410.18072","title":"WorldSimBench: Towards Video Generation Models as World Simulators","created":"2024-10-23","cited_by_count":881,"area":"wm"},{"id":"2506.09985","title":"V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","created":"2025-06-11","cited_by_count":809,"area":"wm"},{"id":"2602.15922","title":"World Action Models are Zero-shot Policies","created":"2026-02-17","cited_by_count":465,"area":"wm"},{"id":"2310.06114","title":"Learning Interactive Real-World Simulators","created":"2023-10-09","cited_by_count":458,"area":"wm"},{"id":"2411.04983","title":"DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning","created":"2024-11-07","cited_by_count":386,"area":"wm"},{"id":"2506.21539","title":"WorldVLA: Towards Autoregressive Action World Model","created":"2025-06-26","cited_by_count":367,"area":"wm"},{"id":"2603.16666","title":"Fast-WAM: Do World Action Models Need Test-time Future Imagination?","created":"2026-03-17","cited_by_count":349,"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":"2601.21998","title":"Causal World Modeling for Robot Control","created":"2026-01-29","cited_by_count":321,"area":"wm"},{"id":"2512.13030","title":"Motus: A Unified Latent Action World Model","created":"2025-12-15","cited_by_count":251,"area":"wm"},{"id":"2505.12705","title":"DreamGen: Unlocking Generalization in Robot Learning through Video World Models","created":"2025-05-19","cited_by_count":179,"area":"wm"},{"id":"2510.10125","title":"Ctrl-World: A Controllable Generative World Model for Robot Manipulation","created":"2025-10-11","cited_by_count":167,"area":"wm"},{"id":"2411.14499","title":"Understanding World or Predicting Future? A Comprehensive Survey of World Models","created":"2024-11-21","cited_by_count":166,"area":"wm"},{"id":"2412.15109","title":"Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation","created":"2024-12-19","cited_by_count":161,"area":"wm"},{"id":"2403.09630","title":"GenAD: Generalized Predictive Model for Autonomous Driving","created":"2024-03-14","cited_by_count":150,"area":"wm"},{"id":"2410.13232","title":"Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation","created":"2024-10-17","cited_by_count":126,"area":"wm"},{"id":"2503.18938","title":"AdaWorld: Learning Adaptable World Models with Latent Actions","created":"2025-03-24","cited_by_count":114,"area":"wm"},{"id":"2505.15659","title":"FLARE: Robot Learning with Implicit World Modeling","created":"2025-05-21","cited_by_count":113,"area":"wm"},{"id":"2604.05014","title":"StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing","created":"2026-04-06","cited_by_count":112,"area":"wm"},{"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":"2504.20995","title":"TesserAct: Learning 4D Embodied World Models","created":"2025-04-29","cited_by_count":94,"area":"wm"},{"id":"2601.03782","title":"PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation","created":"2026-01-07","cited_by_count":82,"area":"wm"},{"id":"2604.26694","title":"Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising","created":"2026-04-29","cited_by_count":71,"area":"wm"},{"id":"2505.19017","title":"WorldEval: World Model as Real-World Robot Policies Evaluator","created":"2025-05-25","cited_by_count":68,"area":"wm"},{"id":"2506.00613","title":"WorldGym: World Model as An Environment for Policy Evaluation","created":"2025-05-31","cited_by_count":64,"area":"wm"},{"id":"2511.19861","title":"GigaWorld-0: World Models as Data Engine to Empower Embodied AI","created":"2025-11-25","cited_by_count":62,"area":"wm"},{"id":"2604.27792","title":"Motubrain: An Advanced World Action Model for Robot Control","created":"2026-04-30","cited_by_count":57,"area":"wm"},{"id":"2403.12037","title":"MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control","created":"2024-03-18","cited_by_count":53,"area":"wm"},{"id":"2507.12508","title":"MindJourney: Test-Time Scaling with World Models for Spatial Reasoning","created":"2025-07-16","cited_by_count":50,"area":"wm"},{"id":"2605.12090","title":"World Action Models: The Next Frontier in Embodied AI","created":"2026-05-12","cited_by_count":50,"area":"wm"},{"id":"2404.10775","title":"COMBO: Compositional World Models for Embodied Multi-Agent Cooperation","created":"2024-04-16","cited_by_count":49,"area":"wm"},{"id":"2510.18135","title":"World-in-World: World Models in a Closed-Loop World","created":"2025-10-20","cited_by_count":47,"area":"wm"},{"id":"2602.22208","title":"Solaris: Building a Multiplayer Video World Model in Minecraft","created":"2026-02-25","cited_by_count":47,"area":"wm"},{"id":"2605.00080","title":"World Model for Robot Learning: A Comprehensive Survey","created":"2026-04-30","cited_by_count":46,"area":"wm"},{"id":"2606.09811","title":"AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing","created":"2026-06-08","cited_by_count":46,"area":"wm"},{"id":"2506.09981","title":"ReSim: Reliable World Simulation for Autonomous Driving","created":"2025-06-11","cited_by_count":44,"area":"wm"},{"id":"2510.19430","title":"GigaBrain-0: A World Model-Powered Vision-Language-Action Model","created":"2025-10-22","cited_by_count":44,"area":"wm"},{"id":"2603.12231","title":"Temporal Straightening for Latent Planning","created":"2026-03-12","cited_by_count":38,"area":"wm"},{"id":"2606.19531","title":"ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing?","created":"2026-06-17","cited_by_count":38,"area":"wm"},{"id":"2506.06199","title":"3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model","created":"2025-06-06","cited_by_count":37,"area":"wm"},{"id":"2402.03570","title":"Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning","created":"2024-02-05","cited_by_count":31,"area":"wm"},{"id":"2603.08546","title":"Interactive World Simulator for Robot Policy Training and Evaluation","created":"2026-03-09","cited_by_count":31,"area":"wm"},{"id":"2306.01872","title":"Probabilistic Adaptation of Text-to-Video Models","created":"2023-06-02","cited_by_count":29,"area":"wm"},{"id":"2505.05495","title":"Learning 3D Persistent Embodied World Models","created":"2025-05-05","cited_by_count":29,"area":"wm"},{"id":"2507.05198","title":"EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling","created":"2025-07-07","cited_by_count":29,"area":"wm"},{"id":"2605.06481","title":"OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation","created":"2026-05-07","cited_by_count":28,"area":"wm"},{"id":"2602.02454","title":"World-Gymnast: Training Robots with Reinforcement Learning in a World Model","created":"2026-02-02","cited_by_count":27,"area":"wm"},{"id":"2402.14407","title":"Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training","created":"2024-02-22","cited_by_count":26,"area":"wm"},{"id":"2502.00622","title":"Inference-Time Enhancement of Generative Robot Policies via Predictive World Modeling","created":"2025-02-02","cited_by_count":24,"area":"wm"},{"id":"2507.01099","title":"Geometry-aware 4D Video Generation for Robot Manipulation","created":"2025-07-01","cited_by_count":24,"area":"wm"},{"id":"2509.18428","title":"Latent Action Pretraining Through World Modeling","created":"2025-09-22","cited_by_count":24,"area":"wm"},{"id":"2510.07313","title":"WristWorld: Generating Wrist-Views via 4D World Models for Robotic Manipulation","created":"2025-10-08","cited_by_count":23,"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":"2606.08242","title":"Light-WAM: Efficient World Action Models with State-Fusion Action Decoding","created":"2026-06-06","cited_by_count":23,"area":"wm"},{"id":"2510.01183","title":"EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory","created":"2025-10-01","cited_by_count":20,"area":"wm"},{"id":"2511.07416","title":"Robot Learning from a Physical World Model","created":"2025-11-10","cited_by_count":20,"area":"wm"},{"id":"2605.06222","title":"When to Trust Imagination: Adaptive Action Execution for World Action Models","created":"2026-05-07","cited_by_count":20,"area":"wm"},{"id":"2604.19092","title":"RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation","created":"2026-04-21","cited_by_count":19,"area":"wm"},{"id":"2506.14198","title":"AMPLIFY: Actionless Motion Priors for Robot Learning from Videos","created":"2025-06-17","cited_by_count":18,"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":"2505.10075","title":"FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation","created":"2025-05-15","cited_by_count":17,"area":"wm"},{"id":"2602.09878","title":"MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation","created":"2026-02-10","cited_by_count":17,"area":"wm"},{"id":"2503.06170","title":"Object-Centric World Model for Language-Guided Manipulation","created":"2025-03-08","cited_by_count":16,"area":"wm"},{"id":"2606.13515","title":"MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models","created":"2026-06-11","cited_by_count":16,"area":"wm"},{"id":"2511.02097","title":"A Step Toward World Models: A Survey on Robotic Manipulation","created":"2025-10-31","cited_by_count":15,"area":"wm"},{"id":"2511.08585","title":"Simulating the Visual World with Artificial Intelligence: A Roadmap","created":"2025-11-11","cited_by_count":15,"area":"wm"},{"id":"2602.08236","title":"When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning","created":"2026-02-09","cited_by_count":14,"area":"wm"},{"id":"2603.17808","title":"EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards","created":"2026-03-18","cited_by_count":14,"area":"wm"},{"id":"2509.23958","title":"Reinforcement Learning with Inverse Rewards for World Model Post-training","created":"2025-09-28","cited_by_count":13,"area":"wm"},{"id":"2606.13674","title":"RepWAM: World Action Modeling with Representation Visual-Action Tokenizers","created":"2026-06-11","cited_by_count":13,"area":"wm"},{"id":"2608.26103","title":"Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization","created":"2026-08-26","cited_by_count":13,"area":"wm"},{"id":"2402.01695","title":"Language-Guided World Models: A Model-Based Approach to AI Control","created":"2024-01-24","cited_by_count":12,"area":"wm"},{"id":"2603.25685","title":"Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning","created":"2026-03-26","cited_by_count":12,"area":"wm"},{"id":"2604.06168","title":"Action Images: End-to-End Policy Learning via Multiview Video Generation","created":"2026-04-07","cited_by_count":12,"area":"wm"},{"id":"2606.05979","title":"World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action Synthesis","created":"2026-06-04","cited_by_count":12,"area":"wm"},{"id":"2606.20781","title":"World Action Models: A Survey","created":"2026-06-18","cited_by_count":12,"area":"wm"},{"id":"2506.19842","title":"ManiGaussian++: General Robotic Bimanual Manipulation with Hierarchical Gaussian World Model","created":"2025-06-24","cited_by_count":11,"area":"wm"},{"id":"2511.02225","title":"Learning Interactive World Model for Object-Centric Reinforcement Learning","created":"2025-11-04","cited_by_count":11,"area":"wm"},{"id":"2606.12217","title":"Making Foresight Actionable: Repurposing Representation Alignment in World Action Models","created":"2026-06-10","cited_by_count":11,"area":"wm"},{"id":"2502.07591","title":"DMWM: Dual-Mind World Model with Long-Term Imagination","created":"2025-02-11","cited_by_count":10,"area":"wm"},{"id":"2505.20922","title":"Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective","created":"2025-05-27","cited_by_count":9,"area":"wm"},{"id":"2512.06628","title":"MIND-V: Hierarchical World Model for Long-Horizon Robotic Manipulation with RL-based Physical Alignment","created":"2025-12-07","cited_by_count":9,"area":"wm"},{"id":"2602.20057","title":"AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation","created":"2026-02-23","cited_by_count":9,"area":"wm"},{"id":"2607.19343","title":"Masked Visual Actions for Unified World Modeling","created":"2026-07-21","cited_by_count":9,"area":"wm"},{"id":"2608.02365","title":"Faster-WAM: Do World Action Models Need Deep Action Modules?","created":"2026-08-03","cited_by_count":9,"area":"wm"},{"id":"2608.03701","title":"LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation","created":"2026-08-04","cited_by_count":9,"area":"wm"},{"id":"2510.19818","title":"Semantic World Models","created":"2025-10-22","cited_by_count":8,"area":"wm"},{"id":"2603.10422","title":"World2Act: Latent Action Post-Training from World Model Dynamics","created":"2026-03-11","cited_by_count":8,"area":"wm"},{"id":"2605.22882","title":"GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation","created":"2026-05-20","cited_by_count":8,"area":"wm"},{"id":"2606.13494","title":"NavWAM: A Navigation World Action Model for Goal-Conditioned Visual Navigation","created":"2026-06-11","cited_by_count":8,"area":"wm"},{"id":"2606.18960","title":"Mem-World: Memory-Augmented Action-Conditioned World Models for Persistent Robot Manipulation","created":"2026-06-17","cited_by_count":8,"area":"wm"},{"id":"2603.07799","title":"MWM: Mobile World Models for Action-Conditioned Consistent Prediction","created":"2026-03-08","cited_by_count":7,"area":"wm"},{"id":"2508.20840","title":"Learning Primitive Embodied World Models: Towards Scalable Robotic Learning","created":"2025-08-28","cited_by_count":6,"area":"wm"},{"id":"2511.12882","title":"Towards High-Consistency Embodied World Model with Multi-View Trajectory Videos","created":"2025-11-17","cited_by_count":6,"area":"wm"},{"id":"2601.17067","title":"A Mechanistic View on Video Generation as World Models: State and Dynamics","created":"2026-01-22","cited_by_count":6,"area":"wm"},{"id":"2603.05438","title":"Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model","created":"2026-03-05","cited_by_count":6,"area":"wm"},{"id":"2605.07931","title":"One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA Policy","created":"2026-05-08","cited_by_count":6,"area":"wm"},{"id":"2509.21797","title":"MoWM: Mixture-of-World-Models for Embodied Planning via Latent-to-Pixel Feature Modulation","created":"2025-09-26","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":"2606.27677","title":"DIM-WAM: World-Action Modeling with Diverse Historical Event Memory","created":"2026-06-26","cited_by_count":5,"area":"wm"}],"next_cursor":"100"}