{"total":32,"rows":[{"id":"2606.02800","title":"Cosmos 3: Omnimodal World Models for Physical AI","created":"2026-06-01","cited_by_count":165,"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":"2602.10098","title":"VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model","created":"2026-02-10","cited_by_count":118,"area":"wm"},{"id":"2507.23682","title":"villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models","created":"2025-07-31","cited_by_count":63,"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":"2510.19430","title":"GigaBrain-0: A World Model-Powered Vision-Language-Action Model","created":"2025-10-22","cited_by_count":44,"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":"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":"2602.22010","title":"World Guidance: World Modeling in Condition Space for Action Generation","created":"2026-02-25","cited_by_count":36,"area":"wm"},{"id":"2502.15672","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","created":"2025-02-21","cited_by_count":35,"area":"wm"},{"id":"2509.18428","title":"Latent Action Pretraining Through World Modeling","created":"2025-09-22","cited_by_count":24,"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":"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":"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":"2606.05979","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":"2510.05057","title":"StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation","created":"2025-10-06","cited_by_count":11,"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":"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":"2508.20840","title":"Learning Primitive Embodied World Models: Towards Scalable Robotic Learning","created":"2025-08-28","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":"2605.07931","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":"2609.16074","title":"World-Action Models for Robot Learning and Control: A Survey","created":"2026-09-13","cited_by_count":6,"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":"2607.11270","title":"Towards Predictive, Aligned, and Scalable Robot Learning","created":"2026-07-13","cited_by_count":3,"area":"wm"},{"id":"2607.02195","title":"Bridge-WA: Predicting Where and How the World Changes for Robotic Action","created":"2026-07-02","cited_by_count":2,"area":"wm"},{"id":"2609.11561","title":"Memory as Plans: World-Action Modeling with Memory-Grounded Planning","created":"2026-09-10","cited_by_count":2,"area":"wm"},{"id":"2506.17967","title":"Adapting Vision-Language Models for Evaluating World Models","created":"2025-06-22","cited_by_count":1,"area":"wm"},{"id":"2605.16713","title":"GeoWorld-VLM: Geometry from World Models for Vision-Language Models","created":"2026-05-15","cited_by_count":1,"area":"wm"},{"id":"2610.02054","title":"UniWAM: Unified World-Action Model","created":"2026-10-01","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":"2609.24682","title":"Think Like a World Model, Act Like a VLA: Distilling World-Model Representations into Compact Robot Policies","created":"2026-09-21","cited_by_count":0,"area":"wm"},{"id":"2609.31313","title":"Towards VLA-Dreamer: Refining VLA Behavior Using World Models","created":"2026-09-25","cited_by_count":0,"area":"wm"}],"next_cursor":null}