{"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/clip-by-tensor","entry":"clip_by_tensor","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":6,"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":1,"n_samples_fingerprinted":1,"n_places":6,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"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":"2508.05689","paper":"/paper/arxiv-2508-05689","title":"Boosting Adversarial Transferability via Residual Perturbation Attack","date":null,"month_inferred_from_arxiv_id":"2025-08","title_source":"syntology","repo":null,"path":"","file_url":null,"status":"ran_draft_wrong","verification_level":2,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"code_sha256_prefix":"11d8e1b97b2f5801","mcp_get_code":{"code_sha256":"11d8e1b97b2f5801"}},{"arxiv_id":"2308.10601","paper":"/paper/improving-the-transferability-of-adversarial-7","title":"Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer","date":"2023-08-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhijin-ge/stm","path":"Incv3_STM_attacks.py","file_url":"https://github.com/zhijin-ge/stm/blob/HEAD/Incv3_STM_attacks.py","status":"ran_draft_wrong","verification_level":2,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"11d8e1b97b2f5801","mcp_get_code":{"code_sha256":"11d8e1b97b2f5801"}},{"arxiv_id":"2307.07873","paper":"/paper/towards-understanding-adversarial","title":"Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability","date":"2023-07-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cgcl-codes/transferattacksurrogates","path":"TransferAttack/imagenet_attack.py","file_url":"https://github.com/cgcl-codes/transferattacksurrogates/blob/HEAD/TransferAttack/imagenet_attack.py","status":"ran_draft_wrong","verification_level":2,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"11d8e1b97b2f5801","mcp_get_code":{"code_sha256":"11d8e1b97b2f5801"}},{"arxiv_id":"2307.06948","paper":"/paper/self-regulating-prompts-foundational-model","title":"Self-regulating Prompts: Foundational Model Adaptation without Forgetting","date":"2023-07-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"asif-hanif/vafa","path":"generate_adv_samples.py","file_url":"https://github.com/asif-hanif/vafa/blob/HEAD/generate_adv_samples.py","status":"ran_draft_wrong","verification_level":2,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"11d8e1b97b2f5801","mcp_get_code":{"code_sha256":"11d8e1b97b2f5801"}},{"arxiv_id":"2306.05225","paper":"/paper/boosting-adversarial-transferability-by-1","title":"Boosting Adversarial Transferability by Achieving Flat Local Maxima","date":"2023-06-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"trustworthy-ai-group/pgn","path":"Incv3_PGN_Attack.py","file_url":"https://github.com/trustworthy-ai-group/pgn/blob/HEAD/Incv3_PGN_Attack.py","status":"ran_draft_wrong","verification_level":2,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"11d8e1b97b2f5801","mcp_get_code":{"code_sha256":"11d8e1b97b2f5801"}},{"arxiv_id":"2007.05201","paper":"/paper/rose-a-retinal-oct-angiography-vessel","title":"ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model","date":"2020-07-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"iMED-Lab/OCTA-Net-OCTA-Vessel-Segmentation-Network","path":"code/OCTA-Net/losses.py","file_url":"https://github.com/iMED-Lab/OCTA-Net-OCTA-Vessel-Segmentation-Network/blob/HEAD/code/OCTA-Net/losses.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"a6980e3ba0fcef1c","mcp_get_code":{"code_sha256":"a6980e3ba0fcef1c"}}]}