{"total":185,"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":"2404.08471","title":"Revisiting Feature Prediction for Learning Visual Representations from Video","created":"2024-02-15","cited_by_count":531,"area":"wm"},{"id":"2602.15922","title":"World Action Models are Zero-shot Policies","created":"2026-02-17","cited_by_count":465,"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":"2603.19312","title":"LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels","created":"2026-03-13","cited_by_count":273,"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":"2403.02622","title":"World Models for Autonomous Driving: An Initial Survey","created":"2024-03-05","cited_by_count":80,"area":"wm"},{"id":"2403.00504","title":"Learning and Leveraging World Models in Visual Representation Learning","created":"2024-03-01","cited_by_count":72,"area":"wm"},{"id":"2605.15178","title":"SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer","created":"2026-05-14","cited_by_count":55,"area":"wm"},{"id":"2507.00917","title":"A Survey: Learning Embodied Intelligence from Physical Simulators and World Models","created":"2025-07-01","cited_by_count":51,"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":"2506.09981","title":"ReSim: Reliable World Simulation for Autonomous Driving","created":"2025-06-11","cited_by_count":44,"area":"wm"},{"id":"2509.02722","title":"Planning with Reasoning using Vision Language World Model","created":"2025-09-02","cited_by_count":36,"area":"wm"},{"id":"2511.09057","title":"PAN: A World Model for General, Actionable, and Long-Horizon World Simulation","created":"2025-11-12","cited_by_count":36,"area":"wm"},{"id":"2605.26379","title":"When Does LeJEPA Learn a World Model?","created":"2026-05-25","cited_by_count":30,"area":"wm"},{"id":"2602.06001","title":"Visuo-Tactile World Models","created":"2026-02-05","cited_by_count":29,"area":"wm"},{"id":"2509.20021","title":"Embodied AI: From LLMs to World Models","created":"2025-09-24","cited_by_count":24,"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":"2601.00844","title":"Value-guided action planning with JEPA world models","created":"2025-12-28","cited_by_count":21,"area":"wm"},{"id":"2506.04363","title":"WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning","created":"2025-06-04","cited_by_count":20,"area":"wm"},{"id":"2606.20104","title":"Sensorimotor World Models: Perception for Action via Inverse Dynamics","created":"2026-06-18","cited_by_count":20,"area":"wm"},{"id":"2504.13820","title":"CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning","created":"2025-04-18","cited_by_count":19,"area":"wm"},{"id":"2601.19834","title":"Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models","created":"2026-01-27","cited_by_count":19,"area":"wm"},{"id":"2605.07278","title":"Predictive but Not Plannable: RC-aux for Latent World Models","created":"2026-05-08","cited_by_count":19,"area":"wm"},{"id":"2503.17109","title":"Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval","created":"2025-03-21","cited_by_count":18,"area":"wm"},{"id":"2601.14354","title":"VJEPA: Variational Joint Embedding Predictive Architectures as Probabilistic World Models","created":"2026-01-20","cited_by_count":17,"area":"wm"},{"id":"2605.09241","title":"Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models","created":"2026-05-10","cited_by_count":16,"area":"wm"},{"id":"2501.00226","title":"Generative Emergent Communication: Large Language Model is a Collective World Model","created":"2024-12-31","cited_by_count":15,"area":"wm"},{"id":"2504.13065","title":"EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance","created":"2025-04-17","cited_by_count":15,"area":"wm"},{"id":"2606.26217","title":"Fast LeWorldModel","created":"2026-06-24","cited_by_count":15,"area":"wm"},{"id":"2411.02914","title":"Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey","created":"2024-11-05","cited_by_count":14,"area":"wm"},{"id":"2510.08713","title":"Towards Unified World Models for Visual Navigation via Memory-Augmented Planning and Foresight","created":"2025-10-09","cited_by_count":14,"area":"wm"},{"id":"2405.15083","title":"MuDreamer: Learning Predictive World Models without Reconstruction","created":"2024-05-23","cited_by_count":13,"area":"wm"},{"id":"2407.00118","title":"From Efficient Multimodal Models to World Models: A Survey","created":"2024-06-27","cited_by_count":13,"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":"2602.18639","title":"Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models","created":"2026-02-20","cited_by_count":13,"area":"wm"},{"id":"2406.10667","title":"UniZero: Generalized and Efficient Planning with Scalable Latent World Models","created":"2024-06-15","cited_by_count":12,"area":"wm"},{"id":"2605.10426","title":"CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving","created":"2026-05-11","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":"2505.20425","title":"OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation","created":"2025-05-26","cited_by_count":11,"area":"wm"},{"id":"2512.09929","title":"Closing the Train-Test Gap in World Models for Gradient-Based Planning","created":"2025-12-10","cited_by_count":11,"area":"wm"},{"id":"2605.31111","title":"Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models","created":"2026-05-29","cited_by_count":11,"area":"wm"},{"id":"2603.26741","title":"Language-Conditioned World Modeling for Visual Navigation","created":"2026-03-23","cited_by_count":10,"area":"wm"},{"id":"2411.07690","title":"World Models: The Safety Perspective","created":"2024-11-12","cited_by_count":9,"area":"wm"},{"id":"2606.23444","title":"SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors","created":"2026-06-22","cited_by_count":9,"area":"wm"},{"id":"2607.10362","title":"A Control Theory of Predictability in Latent World Models","created":"2026-07-11","cited_by_count":9,"area":"wm"},{"id":"2501.14622","title":"ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning","created":"2025-01-24","cited_by_count":8,"area":"wm"},{"id":"2605.21963","title":"ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data","created":"2026-05-21","cited_by_count":8,"area":"wm"},{"id":"2608.06799","title":"Is Forward Prediction Enough? Physical State Grounding for JEPA World Models","created":"2026-08-07","cited_by_count":8,"area":"wm"},{"id":"2608.22764","title":"LpWM: A Case for Sparse Representations in World Models","created":"2026-08-24","cited_by_count":8,"area":"wm"},{"id":"2406.19756","title":"Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train","created":"2024-06-28","cited_by_count":7,"area":"wm"},{"id":"2502.05857","title":"EgoAgent: A Joint Predictive Agent Model in Egocentric Worlds","created":"2025-02-09","cited_by_count":7,"area":"wm"},{"id":"2505.03176","title":"seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models","created":"2025-05-06","cited_by_count":7,"area":"wm"},{"id":"2512.23676","title":"Web World Models","created":"2025-12-29","cited_by_count":7,"area":"wm"},{"id":"2607.17973","title":"SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning","created":"2026-07-20","cited_by_count":7,"area":"wm"},{"id":"2602.23058","title":"GeoWorld: Geometric World Models","created":"2026-02-26","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":"2608.05720","title":"PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models","created":"2026-08-06","cited_by_count":6,"area":"wm"},{"id":"2405.18193","title":"In-Context Symmetries: Self-Supervised Learning through Contextual World Models","created":"2024-05-28","cited_by_count":5,"area":"wm"},{"id":"2602.12540","title":"Self-Supervised JEPA-based World Models for LiDAR Occupancy Completion and Forecasting","created":"2026-02-13","cited_by_count":5,"area":"wm"},{"id":"2606.24101","title":"NavWM: A Unified Navigation World Model for Foresight-Driven Planning","created":"2026-06-23","cited_by_count":5,"area":"wm"},{"id":"2606.27014","title":"A Generalization Theory for JEPA-Based World Models","created":"2026-06-25","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":"2608.17542","title":"No Gaussian Required: Contrastive Inverse Dynamics for JEPA World Models","created":"2026-08-18","cited_by_count":5,"area":"wm"},{"id":"2503.01411","title":"Learning Actionable World Models for Industrial Process Control","created":"2025-03-03","cited_by_count":4,"area":"wm"},{"id":"2510.14977","title":"Terra: Explorable Native 3D World Model with Point Latents","created":"2025-10-16","cited_by_count":4,"area":"wm"},{"id":"2603.02765","title":"Next Embedding Prediction Makes World Models Stronger","created":"2026-03-03","cited_by_count":4,"area":"wm"},{"id":"2605.23699","title":"CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models","created":"2026-05-22","cited_by_count":4,"area":"wm"},{"id":"2606.15594","title":"Pixels to Proofs: Probabilistically-Safe Latent World Model Control via Parallel Conformal Robust MPC","created":"2026-06-14","cited_by_count":4,"area":"wm"},{"id":"2606.16076","title":"Phys-JEPA: Physics-Informed Latent World Models for Multivariate Time-Series Forecasting","created":"2026-06-15","cited_by_count":4,"area":"wm"},{"id":"2606.16721","title":"Medical world models: representing medical states, modelling clinical dynamics and guiding intervention policies","created":"2026-06-15","cited_by_count":4,"area":"wm"},{"id":"2607.25242","title":"Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translation","created":"2026-07-28","cited_by_count":4,"area":"wm"},{"id":"2607.26924","title":"Temporally Centered SIGReg Improves LeWorldModel Representations for Robot Policy Learning","created":"2026-07-29","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":"2609.03294","title":"Latent Energy Action Planning with World Models","created":"2026-09-03","cited_by_count":4,"area":"wm"},{"id":"2601.22128","title":"The Patient is not a Moving Document: A World Model Training Paradigm for Longitudinal EHR","created":"2026-01-29","cited_by_count":3,"area":"wm"},{"id":"2605.01694","title":"Latent State Design for World Models under Sufficiency Constraints","created":"2026-05-03","cited_by_count":3,"area":"wm"},{"id":"2605.25313","title":"UWM-JEPA: Predictive World Models That Imagine in Belief Space","created":"2026-05-25","cited_by_count":3,"area":"wm"},{"id":"2606.13053","title":"EV-WM: Event-Verified World Models for Long-Horizon Robotic Manipulation","created":"2026-06-11","cited_by_count":3,"area":"wm"},{"id":"2607.18715","title":"DWM: Separating World Effects from Actions in Latent World Models","created":"2026-07-21","cited_by_count":3,"area":"wm"},{"id":"2607.24267","title":"FeelWorld: Visuo-Tactile World Model for Hierarchical Contact Prediction and Planning","created":"2026-07-27","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":"2607.27017","title":"What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations","created":"2026-07-29","cited_by_count":3,"area":"wm"},{"id":"2608.12939","title":"Diagnosing JEPA World Models with Action-Conditioned Predictive Consistency","created":"2026-08-13","cited_by_count":3,"area":"wm"},{"id":"2608.24855","title":"LeFlow: Generative Latent Flow Planning for World Models","created":"2026-08-25","cited_by_count":3,"area":"wm"},{"id":"2608.29998","title":"The Intervention Gap in Latent World Models","created":"2026-08-30","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":"2508.10489","title":"Learning State-Space Models of Dynamic Systems from Arbitrary Data using Joint Embedding Predictive Architectures","created":"2025-08-14","cited_by_count":2,"area":"wm"},{"id":"2509.17808","title":"Remote Sensing-Oriented World Model","created":"2025-09-22","cited_by_count":2,"area":"wm"},{"id":"2604.07712","title":"CausalVAE as a Plug-in for World Models: Towards Reliable Counterfactual Dynamics","created":"2026-04-09","cited_by_count":2,"area":"wm"},{"id":"2605.05951","title":"HaM-World: Soft-Hamiltonian World Models with Selective Memory for Planning","created":"2026-05-07","cited_by_count":2,"area":"wm"},{"id":"2605.12178","title":"Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics","created":"2026-05-12","cited_by_count":2,"area":"wm"},{"id":"2606.03603","title":"World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning","created":"2026-06-02","cited_by_count":2,"area":"wm"},{"id":"2606.06556","title":"Robots Need More than VLA and World Models","created":"2026-06-04","cited_by_count":2,"area":"wm"},{"id":"2606.08775","title":"Unifying Object-Centric World Models and Diffusion Policy: A Hierarchical Framework for Multi-Stage Robotic Tasks","created":"2026-06-07","cited_by_count":2,"area":"wm"},{"id":"2606.20627","title":"Latent Goal Prediction from Language for Model-Based Planning","created":"2026-05-26","cited_by_count":2,"area":"wm"},{"id":"2607.16314","title":"Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data","created":"2026-07-15","cited_by_count":2,"area":"wm"},{"id":"2608.13438","title":"ContactGuard: Pre-Contact Execution Monitoring with Action-Conditioned Latent World Models","created":"2026-08-13","cited_by_count":2,"area":"wm"},{"id":"2512.17152","title":"PhysFire-WM: A Physics-Informed World Model for Emulating Fire Spread Dynamics","created":"2025-12-19","cited_by_count":1,"area":"wm"}],"next_cursor":"100"}