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It frames them as the authors' findings and argument, not as established fact.","excerpt":"Authors:Jun Liu, Dajie Sun, Zhenglun Kong, Zhenjiang Fan, Peiyan Dong"},{"dimension":"summary","status":"uncertain","explanation":"The summary is faithful, but a non-specialist would struggle with it. Central terms are left unexplained: world-action models, test-time scaling (extra computation spent while the model runs), learned value selector, hindsight oracle, token pruning, FLOPs, end-to-end speedup, power gate, and pp. Cosmos Policy and RoboCasa are also not identified. The question field is empty; the question appears only at the end of the summary. Smallest repair: add plain-language glosses or term-library tooltips for these terms. Also say briefly that this is a robot-control setting.","excerpt":"World-action models increasingly apply test-time scaling, spending extra inference computation on candidate selection and adaptive allocation to improve control."},{"dimension":"date","status":"pass","explanation":"The originalPublished value, 2026-10-30, matches the arXiv v1 submission date. The later feed date is not used.","excerpt":"[Submitted on 30 Oct 2026]"},{"dimension":"support","status":"pass","explanation":"The claims and figures (1.66 pp, 1.40 pp, 82%, 47%, 1.15x, 1.5x target) match the abstract verbatim. The reading reports the inconclusive result, the corruption fix and its effect on the direct-policy result, and the scope limit without overstating them. The closing question follows from the inconclusive result rather than presupposing an answer.","excerpt":"Conclusions are scoped to the tested configuration."},{"dimension":"media","status":"pass","explanation":"The selected media is the verified direct arXiv abstract page for this paper. It is the most direct access to the source.","excerpt":null}],"createdAt":"2026-11-07T06:31:18.642Z","model":"anthropic/claude-opus-5.5"}],"correctionUrl":"https://escapemeridian.com/corrections/"}