{"total":22,"rows":[{"id":"2111.12594","title":"Conditional Object-Centric Learning from Video","created":"2021-11-24","cited_by_count":248,"area":"wm"},{"id":"2205.13817","title":"Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models","created":"2022-05-27","cited_by_count":53,"area":"wm"},{"id":"2301.05832","title":"World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges","created":"2023-01-14","cited_by_count":36,"area":"wm"},{"id":"2605.06481","title":"OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation","created":"2026-05-07","cited_by_count":28,"area":"wm"},{"id":"2107.08577","title":"Structured World Belief for Reinforcement Learning in POMDP","created":"2021-07-19","cited_by_count":21,"area":"wm"},{"id":"2307.02427","title":"FOCUS: Object-Centric World Models for Robotics Manipulation","created":"2023-07-05","cited_by_count":17,"area":"wm"},{"id":"2503.06170","title":"Object-Centric World Model for Language-Guided Manipulation","created":"2025-03-08","cited_by_count":16,"area":"wm"},{"id":"2603.04553","title":"Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling","created":"2026-03-04","cited_by_count":15,"area":"wm"},{"id":"2602.16229","title":"Factored Latent Action World Models","created":"2026-02-18","cited_by_count":7,"area":"wm"},{"id":"2311.09064","title":"Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models","created":"2023-11-15","cited_by_count":6,"area":"wm"},{"id":"2402.03326","title":"Slot Structured World Models","created":"2024-01-08","cited_by_count":5,"area":"wm"},{"id":"2303.14889","title":"Model-Based Reinforcement Learning with Isolated Imaginations","created":"2023-03-27","cited_by_count":4,"area":"wm"},{"id":"2404.15109","title":"Compete and Compose: Learning Independent Mechanisms for Modular World Models","created":"2024-04-23","cited_by_count":4,"area":"wm"},{"id":"2410.20922","title":"FACTS: A Factored State-Space Framework For World Modelling","created":"2024-10-28","cited_by_count":4,"area":"wm"},{"id":"2501.14174","title":"Dreamweaver: Learning Compositional World Models from Pixels","created":"2025-01-24","cited_by_count":4,"area":"wm"},{"id":"2107.11676","title":"The Impact of Negative Sampling on Contrastive Structured World Models","created":"2021-07-24","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":"2511.06136","title":"When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It Breaks","created":"2025-11-08","cited_by_count":0,"area":"wm"},{"id":"2605.25620","title":"Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations","created":"2026-05-25","cited_by_count":0,"area":"wm"},{"id":"2606.16489","title":"BRICKS-WM: Building Reusability via Interface Composition Kinetics for Structured World Models","created":"2026-06-15","cited_by_count":0,"area":"wm"},{"id":"2608.22750","title":"MOSH-WM: Mask-Grounded Soft-Hamiltonian Dynamics for Object-Centric World Models","created":"2026-08-24","cited_by_count":0,"area":"wm"},{"id":"2609.36985","title":"Abductive World Modeling via Causal Representation Learning","created":"2026-09-29","cited_by_count":0,"area":"wm"}],"next_cursor":null}