{"total":19,"rows":[{"id":"2606.02800","title":"Cosmos 3: Omnimodal World Models for Physical AI","created":"2026-06-01","cited_by_count":165,"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":"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":"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":"2603.22212","title":"Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World Models","created":"2026-03-23","cited_by_count":18,"area":"wm"},{"id":"2604.01985","title":"World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry","created":"2026-04-02","cited_by_count":18,"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":"2604.26848","title":"STARRY: Spatial-Temporal Action-Centric World Modeling for Robotic Manipulation","created":"2026-04-29","cited_by_count":10,"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":"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":"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":"2607.23783","title":"$N_0$-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation","created":"2026-07-26","cited_by_count":2,"area":"wm"},{"id":"2609.31394","title":"InternW0-$Δ$: A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open Data","created":"2026-09-25","cited_by_count":1,"area":"wm"},{"id":"2609.38163","title":"Rethinking Representations for World-Action Modeling","created":"2026-09-29","cited_by_count":1,"area":"wm"},{"id":"2609.34968","title":"RoboFL: Federated Expert Assembly for World Action Models","created":"2026-09-28","cited_by_count":0,"area":"wm"},{"id":"2609.39973","title":"EWAM: Emergent Depth-Wise Specialization in a Unified Embodied Model -- From Semantic Understanding through Visual Foresight to Action","created":"2026-09-30","cited_by_count":0,"area":"wm"},{"id":"2610.00638","title":"TacDyn-WAM: Learning Implicit Tactile Dynamics in a Heterogeneous Visuo-Tactile World Action Model","created":"2026-09-30","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}