{"total":62,"rows":[{"id":"2111.12594","title":"Conditional Object-Centric Learning from Video","created":"2021-11-24","cited_by_count":248,"area":"wm"},{"id":"2410.13232","title":"Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation","created":"2024-10-17","cited_by_count":126,"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":"2204.11371","title":"Learning Symmetric Embeddings for Equivariant World Models","created":"2022-04-24","cited_by_count":54,"area":"wm"},{"id":"2412.14957","title":"Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination","created":"2024-12-19","cited_by_count":45,"area":"wm"},{"id":"2106.09608","title":"Learning Knowledge Graph-based World Models of Textual Environments","created":"2021-06-17","cited_by_count":31,"area":"wm"},{"id":"2111.01587","title":"Procedural Generalization by Planning with Self-Supervised World Models","created":"2021-11-02","cited_by_count":31,"area":"wm"},{"id":"2206.11403","title":"Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation","created":"2022-06-22","cited_by_count":31,"area":"wm"},{"id":"2602.11389","title":"Causal-JEPA: Learning World Models through Object-Level Latent Masking","created":"2026-02-11","cited_by_count":29,"area":"wm"},{"id":"2306.06561","title":"Learning World Models with Identifiable Factorization","created":"2023-06-11","cited_by_count":23,"area":"wm"},{"id":"2204.13661","title":"Toward Compositional Generalization in Object-Oriented World Modeling","created":"2022-04-28","cited_by_count":22,"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":"2206.11131","title":"Variational Causal Dynamics: Discovering Modular World Models from Interventions","created":"2022-06-22","cited_by_count":16,"area":"wm"},{"id":"2012.14228","title":"Causal World Models by Unsupervised Deconfounding of Physical Dynamics","created":"2020-12-28","cited_by_count":15,"area":"wm"},{"id":"2307.09205","title":"Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning","created":"2023-07-18","cited_by_count":15,"area":"wm"},{"id":"2310.12690","title":"Neurosymbolic Grounding for Compositional World Models","created":"2023-10-19","cited_by_count":14,"area":"wm"},{"id":"2511.02225","title":"Learning Interactive World Model for Object-Centric Reinforcement Learning","created":"2025-11-04","cited_by_count":11,"area":"wm"},{"id":"2204.13022","title":"Binding Actions to Objects in World Models","created":"2022-04-27","cited_by_count":10,"area":"wm"},{"id":"2401.17835","title":"Simplifying Latent Dynamics with Softly State-Invariant World Models","created":"2024-01-31","cited_by_count":10,"area":"wm"},{"id":"2411.06890","title":"SPARTAN: A Sparse Transformer World Model Attending to What Matters","created":"2024-11-11","cited_by_count":10,"area":"wm"},{"id":"2607.01531","title":"OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration for ARC-AGI-3","created":"2026-07-01","cited_by_count":8,"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":"2202.05333","title":"Factored World Models for Zero-Shot Generalization in Robotic Manipulation","created":"2022-02-10","cited_by_count":6,"area":"wm"},{"id":"2604.27895","title":"Graph World Models: Concepts, Taxonomy, and Future Directions","created":"2026-04-30","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":"2602.01780","title":"DDP-WM: Disentangled Dynamics Prediction for Efficient World Models","created":"2026-02-02","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":"2301.04783","title":"Predictive World Models from Real-World Partial Observations","created":"2023-01-12","cited_by_count":4,"area":"wm"},{"id":"2310.17178","title":"Relational Object-Centric Actor-Critic","created":"2023-10-26","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":"2506.23068","title":"Curious Causality-Seeking Agents Learn Meta Causal World","created":"2025-06-29","cited_by_count":4,"area":"wm"},{"id":"2607.12474","title":"From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discovery","created":"2026-07-14","cited_by_count":4,"area":"wm"},{"id":"2608.14490","title":"Twin: Playing an Unknown Game with a Test-Time Digital Twin","created":"2026-08-14","cited_by_count":4,"area":"wm"},{"id":"2606.27780","title":"Understanding Rollout Error in Graph World Models","created":"2026-06-26","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":"2609.20800","title":"JEPA-Anything: Learning Predictive Models across Different Worlds","created":"2026-09-17","cited_by_count":3,"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":"2605.30542","title":"Physically Viable World Models: A Case for Query-Conditioned Embodied AI","created":"2026-05-28","cited_by_count":2,"area":"wm"},{"id":"2303.09534","title":"InCrowdFormer: On-Ground Pedestrian World Model From Egocentric Views","created":"2023-03-16","cited_by_count":1,"area":"wm"},{"id":"2506.01529","title":"Learning Abstract World Models with a Group-Structured Latent Space","created":"2025-06-02","cited_by_count":1,"area":"wm"},{"id":"2601.06604","title":"Object-Centric World Models Meet Monte Carlo Tree Search","created":"2026-01-10","cited_by_count":1,"area":"wm"},{"id":"2607.20653","title":"PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics","created":"2026-07-22","cited_by_count":1,"area":"wm"},{"id":"2609.38927","title":"World-as-Graph: Relational World Modeling Through Latent Space Graphs","created":"2026-09-30","cited_by_count":1,"area":"wm"},{"id":"2210.12278","title":"Sample Efficient Robot Learning with Structured World Models","created":"2022-10-21","cited_by_count":0,"area":"wm"},{"id":"2401.00057","title":"Generalization properties of contrastive world models","created":"2023-12-29","cited_by_count":0,"area":"wm"},{"id":"2504.03861","title":"Improving World Models using Deep Supervision with Linear Probes","created":"2025-04-04","cited_by_count":0,"area":"wm"},{"id":"2602.21467","title":"Geometric Priors for Generalizable World Models via Vector Symbolic Architecture","created":"2026-02-25","cited_by_count":0,"area":"wm"},{"id":"2604.11041","title":"From Topology to Trajectory: LLM-Driven World Models For Supply Chain Resilience","created":"2026-04-13","cited_by_count":0,"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":"2606.06832","title":"STRIPS-WM: Learning Grounded Propositional STRIPS-style World Models from Images","created":"2026-06-05","cited_by_count":0,"area":"wm"},{"id":"2606.10359","title":"ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience","created":"2026-06-09","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":"2607.26336","title":"Learning Implicit Causal World Models from Multi-Agent Demonstrations","created":"2026-07-28","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":"2609.02046","title":"Modeling What Changes: Sparse, Residual World Models for Object-Centric Manipulation","created":"2026-09-02","cited_by_count":0,"area":"wm"},{"id":"2609.02339","title":"AGI Maze Prediction Datasets: A Compact Benchmark for Learning World Dynamics with Transformers","created":"2026-09-02","cited_by_count":0,"area":"wm"},{"id":"2609.22175","title":"Contrastive World Models","created":"2026-08-27","cited_by_count":0,"area":"wm"},{"id":"2609.32837","title":"Scanning While Imagining: A Scene-Graph World Model for Robotic Ultrasound Navigation","created":"2026-09-26","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"},{"id":"2610.18637","title":"Grid or Nodes? Probing Object Memory in World Models Under Partial Observability","created":"2026-10-13","cited_by_count":0,"area":"wm"},{"id":"2610.19364","title":"Dynamic Graph World Modelling: Learning Future Dynamics from Temporal Context","created":"2026-10-14","cited_by_count":0,"area":"wm"}],"next_cursor":null}