{"total":32,"rows":[{"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":"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":"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":"2604.04198","title":"DriveVA: Video Action Models are Zero-Shot Drivers","created":"2026-04-05","cited_by_count":23,"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":"2606.20781","title":"World Action Models: A Survey","created":"2026-06-18","cited_by_count":12,"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":"2607.05133","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":"2603.10422","title":"World2Act: Latent Action Post-Training from World Model Dynamics","created":"2026-03-11","cited_by_count":8,"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":"2606.06147","title":"WorldFly: A World-Model-Based Vision-Language-Action Model for UAV Navigation","created":"2026-06-04","cited_by_count":6,"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":"2609.02531","title":"Spatially Aware World Action Model via Geometric Latent Diffusion","created":"2026-09-02","cited_by_count":5,"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":"2608.27033","title":"Riemann-1.0: An Embodied World Action Model for Physical AI","created":"2026-08-27","cited_by_count":4,"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":"2606.29908","title":"Pondering the Way: Spatial-perceiving World Action Model for Embodied Navigation","created":"2026-06-29","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":"2608.23927","title":"GlanceWAM: Sparse Test-Time Imagination for World-Action Models","created":"2026-08-25","cited_by_count":3,"area":"wm"},{"id":"2606.32028","title":"DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation","created":"2026-06-30","cited_by_count":2,"area":"wm"},{"id":"2603.12553","title":"Beyond Dense Futures: World Models as Structured Planners for Robotic Manipulation","created":"2026-03-13","cited_by_count":1,"area":"wm"},{"id":"2609.17372","title":"XPACE: Joint World and Action Modeling from Heterogeneous Experience","created":"2026-09-15","cited_by_count":1,"area":"wm"},{"id":"2609.06578","title":"Learning to Use Imagination: Progress-Conditioned Future Utilization for World Action Models","created":"2026-09-06","cited_by_count":0,"area":"wm"},{"id":"2609.33172","title":"Dynamic Manipulation with World-Action Models via Counterfactual Planning","created":"2026-09-27","cited_by_count":0,"area":"wm"},{"id":"2610.00859","title":"CtrlWAM: Controllable World Action Models with Aligned Intent and Foresight","created":"2026-10-01","cited_by_count":0,"area":"wm"},{"id":"2610.01559","title":"Completion Aware Guidance for World Action Models","created":"2026-10-01","cited_by_count":0,"area":"wm"},{"id":"2610.17141","title":"MARS: Systematic Multi-Level Acceleration for World Action Models","created":"2026-10-12","cited_by_count":0,"area":"wm"},{"id":"2610.20604","title":"VITAL: From Visual Motion to Precise Action","created":"2026-10-14","cited_by_count":0,"area":"wm"}],"next_cursor":null}