{"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-shuffle-ids","entry":"get_shuffle_ids","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":9,"n_papers_ran":8,"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":0,"n_places":9,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":1,"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":"2603.04825","paper":"/paper/arxiv-2603-04825","title":"Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning","date":null,"month_inferred_from_arxiv_id":"2026-03","title_source":"syntology","repo":null,"path":"","file_url":null,"status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":null,"inline_ok":false,"code_sha256_prefix":"e2e91e39d8368ced","mcp_get_code":{"code_sha256":"e2e91e39d8368ced"}},{"arxiv_id":"2301.00772","paper":"/paper/pcrlv2-a-unified-visual-information","title":"PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis","date":"2023-01-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"RL4M/PCRLv2","path":"train_2d.py","file_url":"https://github.com/RL4M/PCRLv2/blob/HEAD/train_2d.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e2e91e39d8368ced","mcp_get_code":{"code_sha256":"e2e91e39d8368ced"}},{"arxiv_id":"2209.13476","paper":"/paper/mine-your-own-anatomy-revisiting-medical","title":"Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels","date":"2022-09-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"charlesyou999648/MONA","path":"code/model_2D.py","file_url":"https://github.com/charlesyou999648/MONA/blob/HEAD/code/model_2D.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e2e91e39d8368ced","mcp_get_code":{"code_sha256":"e2e91e39d8368ced"}},{"arxiv_id":"2201.05131","paper":"/paper/simreg-regression-as-a-simple-yet-effective","title":"SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation","date":"2022-01-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ucdvision/simreg","path":"tools.py","file_url":"https://github.com/ucdvision/simreg/blob/HEAD/tools.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e2e91e39d8368ced","mcp_get_code":{"code_sha256":"e2e91e39d8368ced"}},{"arxiv_id":"2008.00188","paper":"/paper/augmented-skeleton-based-contrastive-action","title":"Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition","date":"2020-08-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Mikexu007/AS_CAL","path":"pretrain_and_linEval.py","file_url":"https://github.com/Mikexu007/AS_CAL/blob/HEAD/pretrain_and_linEval.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e2e91e39d8368ced","mcp_get_code":{"code_sha256":"e2e91e39d8368ced"}},{"arxiv_id":"2007.07423","paper":"/paper/comparing-to-learn-surpassing-imagenet","title":"Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations","date":"2020-07-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":null,"inline_ok":false,"code_sha256_prefix":"e2e91e39d8368ced","mcp_get_code":{"code_sha256":"e2e91e39d8368ced"}},{"arxiv_id":"1911.05722","paper":"/paper/momentum-contrast-for-unsupervised-visual","title":"Momentum Contrast for Unsupervised Visual Representation Learning","date":"2019-11-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"HobbitLong/CMC","path":"train_moco_ins.py","file_url":"https://github.com/HobbitLong/CMC/blob/HEAD/train_moco_ins.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-2-Clause","inline_ok":true,"code_sha256_prefix":"e2e91e39d8368ced","mcp_get_code":{"code_sha256":"e2e91e39d8368ced"}},{"arxiv_id":"aaai_29519","paper":null,"title":"arXiv:aaai_29519","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"wu-dd/DIRK","path":"model.py","file_url":"https://github.com/wu-dd/DIRK/blob/HEAD/model.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e2e91e39d8368ced","mcp_get_code":{"code_sha256":"e2e91e39d8368ced"}},{"arxiv_id":"136910021","paper":null,"title":"arXiv:136910021","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"UCDvision/CMSF","path":"util.py","file_url":"https://github.com/UCDvision/CMSF/blob/HEAD/util.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a7a6cd1db3bfafa9","mcp_get_code":{"code_sha256":"a7a6cd1db3bfafa9"}}]}