{"total":17,"rows":[{"id":"2607.06401","title":"A Definition and Roadmap for World Models","created":"2026-07-07","cited_by_count":5,"area":"wm"},{"id":"2602.12218","title":"The Observer Effect in World Models: Invasive Adaptation Corrupts Latent Physics","created":"2026-02-12","cited_by_count":3,"area":"wm"},{"id":"2606.00133","title":"World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications","created":"2026-05-28","cited_by_count":3,"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":"2608.08689","title":"A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration","created":"2026-08-09","cited_by_count":2,"area":"wm"},{"id":"2603.07545","title":"DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration","created":"2026-03-08","cited_by_count":1,"area":"wm"},{"id":"2605.00412","title":"Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling","created":"2026-05-01","cited_by_count":1,"area":"wm"},{"id":"2605.08279","title":"LaWM: Least Action World Models for Long-Horizon Physical Consistency from Visual Observations","created":"2026-05-08","cited_by_count":1,"area":"wm"},{"id":"2606.00115","title":"Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions","created":"2026-05-27","cited_by_count":1,"area":"wm"},{"id":"2211.00942","title":"Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network","created":"2022-11-02","cited_by_count":0,"area":"wm"},{"id":"2607.07763","title":"Unlocking Temporal Generalization in Hamiltonian Video Dynamics Models","created":"2026-07-08","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":"2608.23526","title":"Correcting a learned physical invariant improves world-model rollouts","created":"2026-08-24","cited_by_count":0,"area":"wm"},{"id":"2609.13194","title":"Diagnosing Faults in Reinforcement Learning Simulators and World Models with Canonical Polynomial Invariants","created":"2026-08-12","cited_by_count":0,"area":"wm"},{"id":"2609.19674","title":"Conservation Buys Stability and Factoring Buys Counterfactuals in Physical World Models","created":"2026-09-17","cited_by_count":0,"area":"wm"},{"id":"2609.39604","title":"Why Do Conventional World Models Fail to Learn Cellular Automata?","created":"2026-09-30","cited_by_count":0,"area":"wm"},{"id":"2610.00280","title":"Stable and Counterfactually Robust Physical World Models from Imposed Structure and Learned Physics","created":"2026-09-24","cited_by_count":0,"area":"wm"}],"next_cursor":null}