{"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/get-head","entry":"get_head","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":7,"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":5,"n_samples_ran":3,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":2,"ran_fixture":0,"ran":1,"unverified":2},"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":"2403.06227","paper":"/paper/pepsi-pathology-enhanced-pulse-sequence","title":"PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI","date":"2024-03-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"peirong26/PEPSI","path":"PEPSI/models/head.py","file_url":"https://github.com/peirong26/PEPSI/blob/HEAD/PEPSI/models/head.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":"136b636aa89c201c","mcp_get_code":{"code_sha256":"136b636aa89c201c"}},{"arxiv_id":"2311.16914","paper":"/paper/brain-id-learning-robust-feature","title":"Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging","date":"2023-11-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"peirong26/Brain-ID","path":"BrainID/models/head.py","file_url":"https://github.com/peirong26/Brain-ID/blob/HEAD/BrainID/models/head.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":"5b564986ff77b9e5","mcp_get_code":{"code_sha256":"5b564986ff77b9e5"}},{"arxiv_id":"2303.09079","paper":"/paper/ssl-cleanse-trojan-detection-and-mitigation","title":"SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning","date":"2023-03-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ucf-ml-research/ssl-cleanse","path":"detector/core/model.py","file_url":"https://github.com/ucf-ml-research/ssl-cleanse/blob/HEAD/detector/core/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2d19f4f3143c2ccf","mcp_get_code":{"code_sha256":"2d19f4f3143c2ccf"}},{"arxiv_id":"2204.11258","paper":"/paper/rmgn-a-regional-mask-guided-network-for","title":"RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on","date":"2022-04-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jokerlc/RMGN-VITON","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"fba352cbdc0f36f0","mcp_get_code":{"code_sha256":"fba352cbdc0f36f0"}},{"arxiv_id":"2105.10123","paper":"/paper/backdoor-attacks-on-self-supervised-learning","title":"Backdoor Attacks on Self-Supervised Learning","date":"2021-05-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"UMBCvision/SSL-Backdoor","path":"byol/model.py","file_url":"https://github.com/UMBCvision/SSL-Backdoor/blob/HEAD/byol/model.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2d19f4f3143c2ccf","mcp_get_code":{"code_sha256":"2d19f4f3143c2ccf"}},{"arxiv_id":"2006.07733","paper":"/paper/bootstrap-your-own-latent-a-new-approach-to","title":"Bootstrap your own latent: A new approach to self-supervised Learning","date":"2020-06-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"htdt/self-supervised","path":"methods/byol.py","file_url":"https://github.com/htdt/self-supervised/blob/HEAD/methods/byol.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"2d19f4f3143c2ccf","mcp_get_code":{"code_sha256":"2d19f4f3143c2ccf"}},{"arxiv_id":"aaai_26259","paper":null,"title":"arXiv:aaai_26259","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"stxupengyu/LSFA","path":"transfer/collector.py","file_url":"https://github.com/stxupengyu/LSFA/blob/HEAD/transfer/collector.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"879283f00eb9090a","mcp_get_code":{"code_sha256":"879283f00eb9090a"}}]}