{"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/quality-to-factor","entry":"quality_to_factor","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":2,"n_samples_ran":2,"n_samples_fingerprinted":2,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":2,"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":"2402.06659","paper":"/paper/shadowcast-stealthy-data-poisoning-attacks","title":"Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models","date":"2024-02-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"umd-huang-lab/VLM-Poisoning","path":"DiffJPEG/utils.py","file_url":"https://github.com/umd-huang-lab/VLM-Poisoning/blob/HEAD/DiffJPEG/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8ae1de364298b758","mcp_get_code":{"code_sha256":"8ae1de364298b758"}},{"arxiv_id":"2310.19011","paper":"/paper/efficient-test-time-adaptation-for-super-1","title":"Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction","date":"2023-10-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dengzeshuai/srtta","path":"src/utils/diffjpeg.py","file_url":"https://github.com/dengzeshuai/srtta/blob/HEAD/src/utils/diffjpeg.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"d588215e006deb50","mcp_get_code":{"code_sha256":"d588215e006deb50"}},{"arxiv_id":"2309.03020","paper":"/paper/seal-a-framework-for-systematic-evaluation-of","title":"SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution","date":"2023-09-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xpixelgroup/seal","path":"seal/utils/diffjpeg.py","file_url":"https://github.com/xpixelgroup/seal/blob/HEAD/seal/utils/diffjpeg.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"d588215e006deb50","mcp_get_code":{"code_sha256":"d588215e006deb50"}},{"arxiv_id":"2108.09034","paper":"/paper/advdrop-adversarial-attack-to-dnns-by","title":"AdvDrop: Adversarial Attack to DNNs by Dropping Information","date":"2021-08-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"rjduan/advdrop","path":"utils.py","file_url":"https://github.com/rjduan/advdrop/blob/HEAD/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8ae1de364298b758","mcp_get_code":{"code_sha256":"8ae1de364298b758"}},{"arxiv_id":"Wu_Robust_Image_Forgery_Detection_Over_Online_Social_Network_Shared_Images_CVPR_2022_paper","paper":null,"title":"arXiv:Wu_Robust_Image_Forgery_Detection_Over_Online_Social_Network_Shared_Images_CVPR_2022_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"HighwayWu/ImageForensicsOSN","path":"DiffJPEG/DiffJPEG.py","file_url":"https://github.com/HighwayWu/ImageForensicsOSN/blob/HEAD/DiffJPEG/DiffJPEG.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8ae1de364298b758","mcp_get_code":{"code_sha256":"8ae1de364298b758"}}]}