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draft correctly credits the framework and results to authors Wies Siffels, Giray Önür and Azita Dabiri. It keeps the critique of existing co-optimisation frameworks attributed to the authors.","excerpt":"Authors:Wies Siffels, Giray Önür, Azita Dabiri"},{"dimension":"summary","status":"pass","explanation":"The title, summary and question faithfully reflect the abstract. The draft explains AV, describes the two levels in plain language, and gives the simulation figures with their baselines. The question about variation across demand profiles and parameter settings follows directly from the abstract. Terms like co-optimisation and fixed-time signal control are understandable from context. The framing as simulation-only preserves the gap between the authors' claim of substantial benefits and real-world performance.","excerpt":"The framework is evaluated in simulation under multiple demand profiles and optimisation parameter settings."},{"dimension":"date","status":"pass","explanation":"The original publication date of 2026-11-10 matches the v1 arXiv submission date. It is not the later feed date.","excerpt":"[Submitted on 10 Nov 2026]"},{"dimension":"support","status":"pass","explanation":"All four claims quote the abstract verbatim and stay attributed. The 13.6%, 12.3% and about-80% figures and their comparison baselines are preserved exactly. The limitations and the closing sentence add no unsupported benefits. They correctly note that transfer to real intersections is not established.","excerpt":"Compared with optimized vehicle trajectories with fixed-time signal control, the proposed framework reduces mean travel times by 13.6\\% for AVs and 12.3\\% for cyclists."},{"dimension":"media","status":"pass","explanation":"The selected media is the verified direct arXiv abstract page for this paper. It is the most direct way to access the source.","excerpt":null}],"createdAt":"2026-11-11T22:02:36.362Z","model":"anthropic/claude-opus-5.5"}],"correctionUrl":"https://escapemeridian.com/corrections/"}