{"id":"b2dbcf75-aa70-4d34-85fd-32bc328c8d20","arxiv_id":"2505.14010","paper_version":1,"verdict":"REJECT","confidence":"MODERATE","novelty_score":6.0,"correctness_risk":"high","formal_verification":"none","parameter_count":6,"one_line_summary":"anDehazeFormer combines a physics-guided KV cache with per-block adaptive normalization for ultra-high-definition dehazing, but its stated real-time speed and 5x training speedup are not supported by the reported data.","lead":"A vision transformer for 4K/8K image dehazing pairs adaptive normalization with an atmospheric-scattering-aware key-value cache, claiming lower memory use and faster training. The paper's own tables contradict its headline speed promises, so the practical win is not yet supported.","discovery_kind":"new_application","skeptic_critique":null,"referee_report":null,"author_rebuttal":null,"desk_editor":null,"rs_alignment":null,"lean_confirmation":null,"pith_extraction":null,"created_at":"2026-08-07T15:42:45.563815+00:00","model_set":{"reader":"deepseek-v4-flash"},"falsifier":null,"supporting_citations":[],"review_version":1}