{"total":194,"rows":[{"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":"2603.17240","title":"GigaWorld-Policy: An Efficient Action-Centered World--Action Model","created":"2026-03-18","cited_by_count":139,"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":"2604.08995","title":"Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory","created":"2026-04-10","cited_by_count":100,"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":"2604.27792","title":"Motubrain: An Advanced World Action Model for Robot Control","created":"2026-04-30","cited_by_count":57,"area":"wm"},{"id":"2606.15768","title":"LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies","created":"2026-06-14","cited_by_count":52,"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":"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":"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":"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":"2603.08546","title":"Interactive World Simulator for Robot Policy Training and Evaluation","created":"2026-03-09","cited_by_count":31,"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":"2603.23376","title":"ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment","created":"2026-03-24","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":"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":"2602.12099","title":"GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning","created":"2026-02-12","cited_by_count":24,"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":"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":"2603.09030","title":"PlayWorld: Learning Robot World Models from Autonomous Play","created":"2026-03-09","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":"2606.01955","title":"WALL-WM: Carving World Action Modeling at the Event Joints","created":"2026-06-01","cited_by_count":17,"area":"wm"},{"id":"2608.04404","title":"Faster-WAM: Efficient Inference-Time Future Conditioning for Robust World Action Models","created":"2026-08-05","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":"2607.05468","title":"Learning 4D Geometric Priors for Inference-Efficient World Action Models","created":"2026-07-06","cited_by_count":15,"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":"2605.15964","title":"WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation","created":"2026-05-15","cited_by_count":14,"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":"2606.20562","title":"MemoryWAM: Efficient World Action Modeling with Persistent Memory","created":"2026-06-18","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":"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":"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":"2606.11184","title":"TacForeSight: Force-Guided Tactile World Model for Contact-Rich Manipulation","created":"2026-06-09","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":"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":"2606.17046","title":"Geometric Action Model for Robot Policy Learning","created":"2026-06-15","cited_by_count":11,"area":"wm"},{"id":"2607.02642","title":"GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation","created":"2026-07-02","cited_by_count":11,"area":"wm"},{"id":"2607.28993","title":"ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts","created":"2026-07-31","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":"2606.09215","title":"MotionWAM: Towards Foundation World Action Models for Real-Time Humanoid Loco-Manipulation","created":"2026-06-08","cited_by_count":10,"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":"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":"2603.10422","title":"World2Act: Latent Action Post-Training from World Model Dynamics","created":"2026-03-11","cited_by_count":8,"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":"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":"2607.04927","title":"DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation","created":"2026-07-06","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":"2602.11291","title":"H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model","created":"2026-02-11","cited_by_count":7,"area":"wm"},{"id":"2605.07794","title":"NoiseGate: Learning Per-Latent Timestep Schedules as Information Gating in World Action Models","created":"2026-05-08","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":"2604.05498","title":"JailWAM: Jailbreaking World Action Models in Robot Control","created":"2026-04-07","cited_by_count":6,"area":"wm"},{"id":"2604.09330","title":"VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis","created":"2026-04-10","cited_by_count":6,"area":"wm"},{"id":"2605.19242","title":"PhyWorld: Physics-Faithful World Model for Video Generation","created":"2026-05-19","cited_by_count":6,"area":"wm"},{"id":"2606.21088","title":"MV-WAM: Manifold-Aware World Action Model with Value Augmentation","created":"2026-06-19","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":"2607.17454","title":"Test-Time Scaling for World Action Models via Zero-Shot Geometric Evaluation","created":"2026-07-20","cited_by_count":6,"area":"wm"},{"id":"2607.26754","title":"StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation","created":"2026-07-29","cited_by_count":6,"area":"wm"},{"id":"2607.27599","title":"World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models","created":"2026-07-30","cited_by_count":6,"area":"wm"},{"id":"2608.06375","title":"$\\omega$-0: A Latent Predictive World Action Model for Concurrent Humanoid Loco-Manipulation","created":"2026-08-06","cited_by_count":6,"area":"wm"},{"id":"2608.10232","title":"FACT: Failure-Aware Causal Training for World-Action Models","created":"2026-08-10","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":"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":"2604.16592","title":"Human Cognition in Machines: A Unified Perspective of World Models","created":"2026-04-17","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":"2606.27677","title":"DIM-WAM: World-Action Modeling with Diverse Historical Event Memory","created":"2026-06-26","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":"2608.13489","title":"DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation","created":"2026-08-13","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":"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":"2607.01060","title":"RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation","created":"2026-07-01","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":"2608.00793","title":"DynamicWAM: Dual-Path Motion Conditioning for World-Action Models in Dynamic Manipulation","created":"2026-08-01","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":"2608.20430","title":"RISE: Adaptive Imagination for World Action Models","created":"2026-08-20","cited_by_count":4,"area":"wm"},{"id":"2609.00188","title":"ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training","created":"2026-08-31","cited_by_count":4,"area":"wm"},{"id":"2605.06247","title":"CKT-WAM: Parameter-Efficient Context Knowledge Transfer Between World Action Models","created":"2026-05-07","cited_by_count":3,"area":"wm"},{"id":"2605.20752","title":"GaussianDream: A Feed-Forward 3D Gaussian World Model for Robotic Manipulation","created":"2026-05-20","cited_by_count":3,"area":"wm"},{"id":"2606.00113","title":"World Models for Robotic Manipulation: A Survey","created":"2026-05-27","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":"2606.09457","title":"$\\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models","created":"2026-06-08","cited_by_count":3,"area":"wm"},{"id":"2606.12403","title":"World Pilot: Steering Vision-Language-Action Models with World-Action Priors","created":"2026-06-10","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":"2607.14943","title":"Steering Robustness into World Action Models via Mechanistic Interpretability and Optimal Control","created":"2026-07-16","cited_by_count":3,"area":"wm"},{"id":"2607.26657","title":"Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control","created":"2026-07-29","cited_by_count":3,"area":"wm"},{"id":"2608.05903","title":"Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action Models","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"}],"next_cursor":"100"}