{"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/count-bad","entry":"count_bad","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":0,"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":0,"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":0,"unverified":1},"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":"2004.00390","paper":"/paper/more-grounded-image-captioning-by-distilling","title":"More Grounded Image Captioning by Distilling Image-Text Matching Model","date":"2020-04-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"YuanEZhou/Grounded-Image-Captioning","path":"eval_utils.py","file_url":"https://github.com/YuanEZhou/Grounded-Image-Captioning/blob/HEAD/eval_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0a4de8f498e3e70c","mcp_get_code":{"code_sha256":"0a4de8f498e3e70c"}},{"arxiv_id":"2002.12204","paper":"/paper/visual-commonsense-r-cnn","title":"Visual Commonsense R-CNN","date":"2020-02-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Wangt-CN/VC-R-CNN","path":"downstream/AoANet_VC/eval_utils.py","file_url":"https://github.com/Wangt-CN/VC-R-CNN/blob/HEAD/downstream/AoANet_VC/eval_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0a4de8f498e3e70c","mcp_get_code":{"code_sha256":"0a4de8f498e3e70c"}},{"arxiv_id":"1908.06954","paper":"/paper/attention-on-attention-for-image-captioning","title":"Attention on Attention for Image Captioning","date":"2019-08-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"husthuaan/AoANet","path":"eval_utils.py","file_url":"https://github.com/husthuaan/AoANet/blob/HEAD/eval_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0a4de8f498e3e70c","mcp_get_code":{"code_sha256":"0a4de8f498e3e70c"}},{"arxiv_id":"1612.00563","paper":"/paper/self-critical-sequence-training-for-image","title":"Self-critical Sequence Training for Image Captioning","date":"2016-12-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"husthuaan/AAT","path":"eval_utils.py","file_url":"https://github.com/husthuaan/AAT/blob/HEAD/eval_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0a4de8f498e3e70c","mcp_get_code":{"code_sha256":"0a4de8f498e3e70c"}},{"arxiv_id":"aaai_29097","paper":null,"title":"arXiv:aaai_29097","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"njustkmg/NIC","path":"eval_utils.py","file_url":"https://github.com/njustkmg/NIC/blob/HEAD/eval_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0a4de8f498e3e70c","mcp_get_code":{"code_sha256":"0a4de8f498e3e70c"}}]}