{"total":31,"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":"2606.02800","title":"Cosmos 3: Omnimodal World Models for Physical AI","created":"2026-06-01","cited_by_count":165,"area":"wm"},{"id":"2511.04670","title":"Cambrian-S: Towards Spatial Supersensing in Video","created":"2025-11-06","cited_by_count":134,"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":"2505.15659","title":"FLARE: Robot Learning with Implicit World Modeling","created":"2025-05-21","cited_by_count":113,"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":"2512.13644","title":"World Models for Learning Dexterous Hand-Object Interactions from Human Videos","created":"2025-12-15","cited_by_count":31,"area":"wm"},{"id":"2605.06388","title":"Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models","created":"2026-05-07","cited_by_count":22,"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":"2607.18367","title":"AlayaWorld: Interactive Long-Horizon World Modeling -- Full Technical Report","created":"2026-07-20","cited_by_count":11,"area":"wm"},{"id":"2604.04913","title":"A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens","created":"2026-04-06","cited_by_count":10,"area":"wm"},{"id":"2603.09241","title":"RAE-NWM: Navigation World Model in Dense Visual Representation Space","created":"2026-03-10","cited_by_count":9,"area":"wm"},{"id":"2606.07687","title":"What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction","created":"2026-06-05","cited_by_count":9,"area":"wm"},{"id":"2605.10347","title":"How Mobile World Model Guides GUI Agents?","created":"2026-05-11","cited_by_count":8,"area":"wm"},{"id":"2512.01342","title":"InternVideo-Next: Towards General Video Foundation Models without Video-Text Supervision","created":"2025-12-01","cited_by_count":7,"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":"2606.21088","title":"MV-WAM: Manifold-Aware World Action Model with Value Augmentation","created":"2026-06-19","cited_by_count":6,"area":"wm"},{"id":"2609.05588","title":"GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation","created":"2026-09-04","cited_by_count":5,"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":"2605.15391","title":"PanoWorld: Geometry-Consistent Panoramic Video World Modeling","created":"2026-05-14","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":"2609.20800","title":"JEPA-Anything: Learning Predictive Models across Different Worlds","created":"2026-09-17","cited_by_count":3,"area":"wm"},{"id":"2607.14005","title":"M$^\\text{4}$World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming","created":"2026-07-15","cited_by_count":2,"area":"wm"},{"id":"2607.04112","title":"DynaVieW: Schema-Guided World Modeling for Understanding Hierarchical Visual Dynamics","created":"2026-07-05","cited_by_count":0,"area":"wm"},{"id":"2608.02428","title":"DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation","created":"2026-08-03","cited_by_count":0,"area":"wm"},{"id":"2608.20065","title":"Orthogonal JEPA: Factorized Predictive States for Latent World Models","created":"2026-08-20","cited_by_count":0,"area":"wm"},{"id":"2608.28216","title":"WALDO: One-Shot Exemplar-Conditioned Object Detection in Cluttered Scenes","created":"2026-08-28","cited_by_count":0,"area":"wm"},{"id":"2609.32013","title":"TriO: Tri-Modal Unsupervised Occupancy World Model for Anything Perception","created":"2026-09-25","cited_by_count":0,"area":"wm"},{"id":"2610.00686","title":"SemanTok: Predictable Semantic Tokens for Efficient Autoregressive Video Generation","created":"2026-09-30","cited_by_count":0,"area":"wm"},{"id":"2610.08760","title":"WorldSonus: Bringing Sound to Worlds","created":"2026-10-06","cited_by_count":0,"area":"wm"},{"id":"2610.13024","title":"What Visual Representations Do World Action Models Need?","created":"2026-10-09","cited_by_count":0,"area":"wm"}],"next_cursor":null}