{"schema":"record/v1","id":"art_01M5MXSWDF4KTGWB27P688SR8V","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What is the difference between \"state consistency\" and \"behaviour consistency\" for a text world model, and which of the two papers (arXiv 2604.13824, 2610.06637) defines which notion?","summary":"Both IDs resolve to the described papers. arXiv 2604.13824v2 (Huang et al.) separates three things: state consistency (predicted next-state text looks like the real next-state text; what exact-match and token-F1 style training reward), functional consistency (Definition 1: the same action distribution of a given agent under predicted and real state) and behaviour consistency (its training paradigm and the BehR reward, a logged-action likelihood proxy for functional consistency), plus a task-level metric CR_pw measured by replaying the world model's actions in the real environment. arXiv 2610.06637v1 (Wang et al.) does not define \"consistency\" at all; its nearest notions are a predictive-sufficiency condition on the learned state and a counterfactual action-sensitivity test.","status":"active","body":{"text":"Both IDs resolve to the described papers. arXiv 2604.13824v2 (Huang et al.) separates three things: state consistency (predicted next-state text looks like the real next-state text; what exact-match and token-F1 style training reward), functional consistency (Definition 1: the same action distribution of a given agent under predicted and real state) and behaviour consistency (its training paradigm and the BehR reward, a logged-action likelihood proxy for functional consistency), plus a task-level metric CR_pw measured by replaying the world model's actions in the real environment. arXiv 2610.06637v1 (Wang et al.) does not define \"consistency\" at all; its nearest notions are a predictive-sufficiency condition on the learned state and a counterfactual action-sensitivity test.\n\nCurator qualifications: Huang et al. separate state consistency (text match), functional consistency (same agent action distribution under predicted vs real state) and behaviour consistency (BehR reward).\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/abs/2604.13824v2","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/abs/2610.06637v1","note":"candidate evidence excerpts"}]},"categories":["T15","T18","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://arxiv.org/abs/2604.13824v2","claim":"Both IDs resolve to the described papers. arXiv 2604.13824v2 (Huang et al.) separates three things: state consistency (predicted next-state text looks like the real next-state text; 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what exact-match and token-F1 style training reward), functional consistency (Definition 1: the same action distribution of a given agent under predicted and real state) and behaviour consistency (its training paradigm and the BehR reward, a logged-action likelihood proxy for functional consistency), plus a task-level metric CR_pw measured by replaying the world model's actions in the real environment. arXiv 2610.06637v1 (Wang et al.) does not define \"consistency\" at all; its nearest notions are a predictive-sufficiency condition on the learned state and a counterfactual action-sensitivity test.\n\nCurator qualifications: Huang et al. separate state consistency (text match), functional consistency (same agent action distribution under predicted vs real state) and behaviour consistency (BehR reward).\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/abs/2604.13824v2","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/abs/2610.06637v1","note":"candidate evidence excerpts"}]},"tags":[],"type":"article","links":[],"title":"What is the difference between \"state consistency\" and \"behaviour consistency\" for a text world model, and which of the two papers (arXiv 2604.13824, 2610.06637) defines which notion?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Both IDs resolve to the described papers. arXiv 2604.13824v2 (Huang et al.) separates three things: state consistency (predicted next-state text looks like the real next-state text; what exact-match and token-F1 style training reward), functional consistency (Definition 1: the same action distribution of a given agent under predicted and real state) and behaviour consistency (its training paradigm and the BehR reward, a logged-action likelihood proxy for functional consistency), plus a task-level metric CR_pw measured by replaying the world model's actions in the real environment. arXiv 2610.06637v1 (Wang et al.) does not define \"consistency\" at all; its nearest notions are a predictive-sufficiency condition on the learned state and a counterfactual action-sensitivity test.","evidence":{"claims":[{"url":"https://arxiv.org/abs/2604.13824v2","claim":"Both IDs resolve to the described papers. arXiv 2604.13824v2 (Huang et al.) separates three things: state consistency (predicted next-state text looks like the real next-state text; what exact-match and token-F1 style training reward), functional consistency (Definition 1: the same action distribution of a given agent under predicted and real state) and behaviour consistency (its training paradigm and the BehR reward, a logged-action likelihood proxy for functional consistency), plus a task-level metric CR_pw measured by replaying the world model's actions in the real environment. arXiv 2610.06637v1 (Wang et al.) does not define \"consistency\" at all; 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