{"total":165,"rows":[{"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":"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":"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":"2602.06949","title":"DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos","created":"2026-02-06","cited_by_count":135,"area":"wm"},{"id":"2505.15659","title":"FLARE: Robot Learning with Implicit World Modeling","created":"2025-05-21","cited_by_count":113,"area":"wm"},{"id":"2505.14357","title":"Vid2World: Crafting Video Diffusion Models to Interactive World Models","created":"2025-05-20","cited_by_count":76,"area":"wm"},{"id":"2605.00078","title":"Being-H0.7: A Latent World-Action Model from Egocentric Videos","created":"2026-04-30","cited_by_count":75,"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":"2510.16732","title":"A Comprehensive Survey on World Models for Embodied AI","created":"2025-10-19","cited_by_count":68,"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":"2605.00080","title":"World Model for Robot Learning: A Comprehensive Survey","created":"2026-04-30","cited_by_count":46,"area":"wm"},{"id":"2602.11075","title":"RISE: Self-Improving Robot Policy with Compositional World Model","created":"2026-02-11","cited_by_count":40,"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":"2510.27607","title":"Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model","created":"2025-10-31","cited_by_count":36,"area":"wm"},{"id":"2603.22078","title":"Do World Action Models Generalize Better than VLAs? A Robustness Study","created":"2026-03-23","cited_by_count":36,"area":"wm"},{"id":"2607.00678","title":"ABot-M0.5: Unified Mobility-and-Manipulation World Action Model","created":"2026-07-01","cited_by_count":30,"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":"2606.01027","title":"$\\tau_0$-WM: A Unified Video-Action World Model for Robotic Manipulation","created":"2026-05-31","cited_by_count":27,"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":"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":"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":"2607.08436","title":"EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data","created":"2026-07-08","cited_by_count":20,"area":"wm"},{"id":"2602.17259","title":"FRAPPE: Infusing World Modeling into Generalist Policies via Multiple Future Representation Alignment","created":"2026-02-19","cited_by_count":19,"area":"wm"},{"id":"2606.08737","title":"Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation","created":"2026-06-07","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":"2512.17907","title":"Dexterous World Models","created":"2025-12-19","cited_by_count":18,"area":"wm"},{"id":"2604.01985","title":"World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry","created":"2026-04-02","cited_by_count":18,"area":"wm"},{"id":"2606.10040","title":"Efficient-WAM: A 1B-Parameter World-Action Model with Low-Cost Future Imagination","created":"2026-06-08","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":"2506.03079","title":"ORV: 4D Occupancy-centric Robot Video Generation","created":"2025-06-03","cited_by_count":17,"area":"wm"},{"id":"2512.21714","title":"AstraNav-World: World Model for Foresight Control and Consistency","created":"2025-12-25","cited_by_count":17,"area":"wm"},{"id":"2603.23481","title":"VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs","created":"2026-03-24","cited_by_count":17,"area":"wm"},{"id":"2604.19683","title":"Mask World Model: Predicting What Matters for Robust Robot Policy Learning","created":"2026-04-21","cited_by_count":17,"area":"wm"},{"id":"2606.01955","title":"WALL-WM: Carving World Action Modeling at the Event Joints","created":"2026-06-01","cited_by_count":17,"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":"2607.13017","title":"FlowWAM: Optical Flow as a Unified Action Representation for World Action Models","created":"2026-07-14","cited_by_count":16,"area":"wm"},{"id":"2506.23919","title":"Goal-VLA: Image-Generative VLMs as Object-Centric World Models Empowering Zero-shot Robot Manipulation","created":"2025-06-30","cited_by_count":15,"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":"2601.15284","title":"Walk through Paintings: Egocentric World Models from Internet Priors","created":"2026-01-21","cited_by_count":14,"area":"wm"},{"id":"2606.17730","title":"ActWorld: From Explorable to Interactive World Model via Action-Aware Memory","created":"2026-06-16","cited_by_count":14,"area":"wm"},{"id":"2601.07823","title":"Robotic Video World Models: A Survey of Applications, Research Challenges, Future Directions","created":"2026-01-12","cited_by_count":13,"area":"wm"},{"id":"2606.02436","title":"Geometry-Aware Implicit Memory for Video World Models","created":"2026-06-01","cited_by_count":13,"area":"wm"},{"id":"2608.08023","title":"4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields","created":"2026-08-08","cited_by_count":13,"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":"2604.11135","title":"AIM: Intent-Aware Unified world action Modeling with Spatial Value Maps","created":"2026-04-13","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":"2605.07514","title":"Is the Future Compatible? Diagnosing Dynamic Consistency in World Action Models","created":"2026-05-08","cited_by_count":11,"area":"wm"},{"id":"2606.03188","title":"GeoSem-WAM: Geometry- and Semantic-Aware World Action Models","created":"2026-06-02","cited_by_count":11,"area":"wm"},{"id":"2607.13960","title":"GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch","created":"2026-07-15","cited_by_count":11,"area":"wm"},{"id":"2605.10942","title":"HarmoWAM: Harmonizing Generalizable and Precise Manipulation via Adaptive World Action Models","created":"2026-05-11","cited_by_count":10,"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":"2606.16533","title":"Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI","created":"2026-06-15","cited_by_count":9,"area":"wm"},{"id":"2607.05133","title":"UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation","created":"2026-07-06","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":"2510.19818","title":"Semantic World Models","created":"2025-10-22","cited_by_count":8,"area":"wm"},{"id":"2512.02473","title":"WorldPack: Dynamic Frame Compression for Long-context Video World Modeling","created":"2025-12-02","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":"2606.08555","title":"FAWAM: Force-Aware World Action Models for Closed-Loop Contact-Rich Manipulation","created":"2026-06-07","cited_by_count":8,"area":"wm"},{"id":"2606.10363","title":"HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation","created":"2026-06-09","cited_by_count":8,"area":"wm"},{"id":"2607.06988","title":"WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time","created":"2026-07-08","cited_by_count":8,"area":"wm"},{"id":"2607.26056","title":"INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models","created":"2026-07-28","cited_by_count":8,"area":"wm"},{"id":"2608.04996","title":"DreamWAM: Beyond RGB Future Prediction for World Action Models","created":"2026-08-05","cited_by_count":8,"area":"wm"},{"id":"2605.23856","title":"Point Tracking Improves World Action Models","created":"2026-05-22","cited_by_count":7,"area":"wm"},{"id":"2605.27947","title":"SANTS: A State-Adaptive Scheduler for World Action Models","created":"2026-05-27","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":"2603.15759","title":"Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation","created":"2026-03-16","cited_by_count":6,"area":"wm"},{"id":"2606.29501","title":"Learning Transferable Dynamics Priors from Action to World Modeling","created":"2026-06-28","cited_by_count":6,"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":"2604.16484","title":"DexWorldModel: Causal Latent World Modeling towards Automated Learning of Embodied Tasks","created":"2026-04-13","cited_by_count":5,"area":"wm"},{"id":"2604.16592","title":"Human Cognition in Machines: A Unified Perspective of World Models","created":"2026-04-17","cited_by_count":5,"area":"wm"},{"id":"2604.28185","title":"Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling","created":"2026-04-30","cited_by_count":5,"area":"wm"},{"id":"2605.06192","title":"EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields","created":"2026-05-07","cited_by_count":5,"area":"wm"},{"id":"2607.02403","title":"ACID: Action Consistency via Inverse Dynamics for Planning with World Models","created":"2026-07-02","cited_by_count":5,"area":"wm"},{"id":"2607.06401","title":"A Definition and Roadmap for World Models","created":"2026-07-07","cited_by_count":5,"area":"wm"},{"id":"2609.02531","title":"Spatially Aware World Action Model via Geometric Latent Diffusion","created":"2026-09-02","cited_by_count":5,"area":"wm"},{"id":"2512.01952","title":"GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment","created":"2025-12-01","cited_by_count":4,"area":"wm"},{"id":"2606.05645","title":"Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning","created":"2026-06-04","cited_by_count":4,"area":"wm"},{"id":"2606.17906","title":"WAM-RL: World-Action Model Reinforcement Learning with Reconstruction Rewards and Online Video SFT","created":"2026-06-16","cited_by_count":4,"area":"wm"},{"id":"2606.27374","title":"World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays","created":"2026-06-25","cited_by_count":4,"area":"wm"},{"id":"2607.00836","title":"From World Models to World Action Models: A Concise Tutorial for Robotics","created":"2026-07-01","cited_by_count":4,"area":"wm"},{"id":"2607.04978","title":"Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control","created":"2026-07-06","cited_by_count":4,"area":"wm"},{"id":"2607.15065","title":"DriftWorld: Fast World Modeling through Drifting","created":"2026-07-16","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":"2608.11605","title":"Foresight Without Seeing: Latent Futures for World Action Models","created":"2026-08-12","cited_by_count":4,"area":"wm"},{"id":"2512.08405","title":"Learning Robot Manipulation from Audio World Models","created":"2025-12-09","cited_by_count":3,"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":"2606.00133","title":"World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications","created":"2026-05-28","cited_by_count":3,"area":"wm"},{"id":"2606.26025","title":"In-Context World Modeling for Robotic Control","created":"2026-06-24","cited_by_count":3,"area":"wm"},{"id":"2607.08127","title":"Understanding and Mitigating the Video-Action Generalization Gap via Temporal Ratio","created":"2026-07-09","cited_by_count":3,"area":"wm"},{"id":"2607.11270","title":"Towards Predictive, Aligned, and Scalable Robot Learning","created":"2026-07-13","cited_by_count":3,"area":"wm"},{"id":"2608.06332","title":"GeniWorld: A Generalizable Interactive World Model for Robotic Manipulation via Visual Actions","created":"2026-08-06","cited_by_count":3,"area":"wm"},{"id":"2608.08839","title":"SG-WAM: Text-Grounded and Spatial-aware Semantic Guidance for World-Action Models","created":"2026-08-09","cited_by_count":3,"area":"wm"},{"id":"2608.10780","title":"StageWAM: Joint-Embedding Stage Prediction for World-Action Models in Robot Manipulation","created":"2026-08-11","cited_by_count":3,"area":"wm"},{"id":"2608.11521","title":"Keep the Future, Drop the Rollout: RIFT for World Action Models","created":"2026-08-12","cited_by_count":3,"area":"wm"}],"next_cursor":"100"}