{"id":"9d49c38a-cd4b-43f4-8b9b-53ea23f5070d","arxiv_id":"2504.11995","paper_version":1,"verdict":"CONDITIONAL","confidence":"HIGH","novelty_score":1.0,"correctness_risk":"medium","formal_verification":"none","parameter_count":0,"one_line_summary":"A review of YOLOv12's attention-based architecture and its benchmarks, with all performance numbers sourced from the original YOLOv12 paper rather than new experiments.","lead":"This paper reviews YOLOv12, a real-time object detector that adds attention mechanisms without slowing down. It summarizes the architecture and reports benchmark numbers taken from the original YOLOv12 paper.","discovery_kind":"review","skeptic_critique":null,"referee_report":null,"author_rebuttal":null,"desk_editor":null,"rs_alignment":null,"lean_confirmation":null,"pith_extraction":null,"created_at":"2026-08-16T12:40:27.385002+00:00","model_set":{"reader":"deepseek-v4-flash"},"falsifier":null,"supporting_citations":[],"review_version":1}