{"total":19,"rows":[{"id":"2605.00080","title":"World Model for Robot Learning: A Comprehensive Survey","created":"2026-04-30","cited_by_count":46,"area":"wm"},{"id":"2505.10819","title":"PoE-World: Compositional World Modeling with Products of Programmatic Experts","created":"2025-05-16","cited_by_count":26,"area":"wm"},{"id":"2501.00296","title":"From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models","created":"2024-12-31","cited_by_count":11,"area":"wm"},{"id":"2502.07591","title":"DMWM: Dual-Mind World Model with Long-Term Imagination","created":"2025-02-11","cited_by_count":10,"area":"wm"},{"id":"2503.02143","title":"Four Principles for Physically Interpretable World Models","created":"2025-03-04","cited_by_count":10,"area":"wm"},{"id":"2509.26255","title":"ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning","created":"2025-09-30","cited_by_count":9,"area":"wm"},{"id":"2508.18507","title":"Language Models For Generalised PDDL Planning: Synthesising Sound and Programmatic Policies","created":"2025-08-25","cited_by_count":7,"area":"wm"},{"id":"2602.11291","title":"H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model","created":"2026-02-11","cited_by_count":7,"area":"wm"},{"id":"2602.10480","title":"Neuro-Symbolic Synergy for World Modeling","created":"2026-02-11","cited_by_count":6,"area":"wm"},{"id":"2607.00836","title":"From World Models to World Action Models: A Concise Tutorial for Robotics","created":"2026-07-01","cited_by_count":4,"area":"wm"},{"id":"2412.12870","title":"Physically Interpretable World Models via Weakly Supervised Representation Learning","created":"2024-12-17","cited_by_count":3,"area":"wm"},{"id":"2512.11061","title":"VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation","created":"2025-12-11","cited_by_count":3,"area":"wm"},{"id":"2511.04646","title":"DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration","created":"2025-11-06","cited_by_count":2,"area":"wm"},{"id":"2512.17992","title":"Unifying Deep Predicate Invention with Pre-trained Foundation Models","created":"2025-12-19","cited_by_count":2,"area":"wm"},{"id":"2602.02799","title":"Joint Learning of Hierarchical Neural Options and Abstract World Model","created":"2026-02-02","cited_by_count":1,"area":"wm"},{"id":"2609.35047","title":"EMPIRIC: Experiment-Driven Learning of Residual World Models for Robot Planning","created":"2026-09-28","cited_by_count":1,"area":"wm"},{"id":"2605.15975","title":"Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning","created":"2026-05-15","cited_by_count":0,"area":"wm"},{"id":"2609.15113","title":"Legislating World-Model-Based Planning with Legal Reasoning","created":"2026-09-14","cited_by_count":0,"area":"wm"},{"id":"2610.05409","title":"BeliefGraph-JEPA: Structured Latent World Models for Action-Conditioned Time Series","created":"2026-10-04","cited_by_count":0,"area":"wm"}],"next_cursor":null}