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Keep the technical terms themselves unchanged.","excerpt":"Automatic modulation classification (AMC) underpins spectrum sensing and non-cooperative signal identification in cognitive radio"},{"dimension":"date","status":"pass","explanation":"originalPublished 2026-11-04 matches the arXiv v1 submission date. The feed date of 2026-11-05 is correctly not used.","excerpt":"[v1]\nWed, 4 Nov 2026 04:25:29 UTC (107 KB)"},{"dimension":"support","status":"pass","explanation":"The claims match the abstract: complementarity by SNR, the fusion architecture, 55.8% accuracy with gains over both baselines, positive confidence-interval lower bounds, matching each baseline in its strong regime, and single-CPU operation at about 3 MFLOPs per frame. The practical-benefit framing stays as the authors' argument, and the limitation on generalization beyond RadioML 2016.10a is appropriately noted. 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