{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/dump-value","entry":"dump_value","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":5,"n_papers_ran":5,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":1,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":0},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2403.00326","paper":"/paper/dams-detr-dynamic-adaptive-multispectral","title":"DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion","date":"2024-03-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"gjj45/DAMSDet","path":"ppdet/core/workspace.py","file_url":"https://github.com/gjj45/DAMSDet/blob/HEAD/ppdet/core/workspace.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"891281774f8942bd","mcp_get_code":{"code_sha256":"891281774f8942bd"}},{"arxiv_id":"2308.07313","paper":"/paper/group-pose-a-simple-baseline-for-end-to-end","title":"Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation","date":"2023-08-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Michel-liu/GroupPose-Paddle","path":"ppdet/core/workspace.py","file_url":"https://github.com/Michel-liu/GroupPose-Paddle/blob/HEAD/ppdet/core/workspace.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"891281774f8942bd","mcp_get_code":{"code_sha256":"891281774f8942bd"}},{"arxiv_id":"2304.08069","paper":"/paper/detrs-beat-yolos-on-real-time-object","title":"DETRs Beat YOLOs on Real-time Object Detection","date":"2023-04-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lyuwenyu/RT-DETR","path":"rtdetr_paddle/ppdet/core/workspace.py","file_url":"https://github.com/lyuwenyu/RT-DETR/blob/HEAD/rtdetr_paddle/ppdet/core/workspace.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"891281774f8942bd","mcp_get_code":{"code_sha256":"891281774f8942bd"}},{"arxiv_id":"2004.10934","paper":"/paper/yolov4-optimal-speed-and-accuracy-of-object","title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","date":"2020-04-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"nemonameless/PaddleDetection_YOLOX","path":"ppdet/core/workspace.py","file_url":"https://github.com/nemonameless/PaddleDetection_YOLOX/blob/HEAD/ppdet/core/workspace.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"891281774f8942bd","mcp_get_code":{"code_sha256":"891281774f8942bd"}},{"arxiv_id":"1912.06218","paper":"/paper/yolact-better-real-time-instance-segmentation","title":"YOLACT++: Better Real-time Instance Segmentation","date":"2019-12-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhengzhe97/yolactpaddle","path":"ppdet/core/workspace.py","file_url":"https://github.com/zhengzhe97/yolactpaddle/blob/HEAD/ppdet/core/workspace.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"891281774f8942bd","mcp_get_code":{"code_sha256":"891281774f8942bd"}}]}