{"about":{"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.","site":"https://codewithpapers.app","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","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/jigsaw/papers/ran/1","list_of":"/method/jigsaw","method":"Jigsaw","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not isolate this method inside it.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,13],"of":13,"counts":{"archive_papers_tagged":140,"with_a_code_link":55,"where_syntology_ran_a_sample":13,"not_listed_spam_title":0,"listed":140,"listed_where_code_ran":13,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":13,"every_run_a_failure_of_syntologys_instrument":0,"listed_with_a_run_with_no_instrument_failure":13,"listed_every_run_a_failure_of_syntologys_instrument":0,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/jigsaw/papers/ran/1","prev":null,"next":null,"papers":[{"paper":"/paper/symmetricdiffusers-learning-discrete","slug":"symmetricdiffusers-learning-discrete","title":"SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups","date":"2024-10-03","arxiv_id":"2410.02942","n_code_links":2,"syntology":{"ran":44,"of":47,"n_ran_checked":13,"n_instrument":31,"unverified":3,"pointer_only":47,"phrase":"44 ran (of which 1 constructed an object rather than computing a result; 13 with no instrument failure: 4 honoured, 1 violated, 8 with no contract checked; 31 where Syntology's instrument failed) · 3 unverified","official":{"repos":["nickzhang53/symmetricdiffusers"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/decoupling-general-and-personalized-knowledge","slug":"decoupling-general-and-personalized-knowledge","title":"Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition","date":"2024-06-28","arxiv_id":"2406.19931","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":4,"n_instrument":2,"unverified":1,"pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["xinghaowu/feddecomp"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/characterizing-large-language-model-geometry","slug":"characterizing-large-language-model-geometry","title":"Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation","date":"2023-12-04","arxiv_id":"2312.01648","n_code_links":1,"syntology":{"ran":7,"of":13,"n_ran_checked":4,"n_instrument":3,"unverified":6,"pointer_only":13,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 6 unverified","official":{"repos":["randallbalestriero/splinellm"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":6,"ran_from_kinds":["official"]}}},{"paper":"/paper/unmasking-and-improving-data-credibility-a","slug":"unmasking-and-improving-data-credibility-a","title":"Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models","date":"2023-11-19","arxiv_id":"2311.11202","n_code_links":1,"syntology":{"ran":13,"of":17,"n_ran_checked":6,"n_instrument":7,"unverified":4,"pointer_only":17,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 7 where Syntology's instrument failed) · 4 unverified","official":{"repos":["docta-ai/docta"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/generalizable-wireless-navigation-through","slug":"generalizable-wireless-navigation-through","title":"Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning","date":"2023-06-11","arxiv_id":"2306.06766","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["panshark/pirl-win"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/jigsaw-learning-to-assemble-multiple-1","slug":"jigsaw-learning-to-assemble-multiple-1","title":"Jigsaw: Learning to Assemble Multiple Fractured Objects","date":"2023-05-29","arxiv_id":"2305.17975","n_code_links":1,"syntology":{"ran":2,"of":4,"n_ran_checked":2,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":"/paper/block-selection-method-for-using-feature-norm","slug":"block-selection-method-for-using-feature-norm","title":"Block Selection Method for Using Feature Norm in Out-of-distribution Detection","date":"2022-12-05","arxiv_id":"2212.02295","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":8,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["gist-ailab/block-selection-for-ood-detection"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/distill-on-the-go-online-knowledge","slug":"distill-on-the-go-online-knowledge","title":"Distill on the Go: Online knowledge distillation in self-supervised learning","date":"2021-04-20","arxiv_id":"2104.09866","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["NeurAI-Lab/DoGo"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/3d-self-supervised-methods-for-medical","slug":"3d-self-supervised-methods-for-medical","title":"3D Self-Supervised Methods for Medical Imaging","date":"2020-06-06","arxiv_id":"2006.03829","n_code_links":1,"syntology":{"ran":14,"of":16,"n_ran_checked":14,"n_instrument":0,"unverified":2,"pointer_only":16,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["HealthML/self-supervised-3d-tasks"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/fine-grained-visual-classification-via","slug":"fine-grained-visual-classification-via","title":"Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches","date":"2020-03-08","arxiv_id":"2003.03836","n_code_links":5,"syntology":{"ran":3,"of":6,"n_ran_checked":1,"n_instrument":2,"unverified":3,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["PRIS-CV/PMG-Progressive-Multi-Granularity-Training","RuoyiDu/PMG-Progressive-Multi-Granularity-Training"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/self-supervised-learning-of-pretext-invariant","slug":"self-supervised-learning-of-pretext-invariant","title":"Self-Supervised Learning of Pretext-Invariant Representations","date":"2019-12-04","arxiv_id":"1912.01991","n_code_links":7,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":4,"phrase":"3 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 3 samples that ran constructed an object rather than computing a result","official":null}},{"paper":"/paper/solving-jigsaw-puzzles-by-the-graph","slug":"solving-jigsaw-puzzles-by-the-graph","title":"Solving Jigsaw Puzzles By the Graph Connection Laplacian","date":"2018-11-07","arxiv_id":"1811.03188","n_code_links":3,"syntology":{"ran":16,"of":21,"n_ran_checked":12,"n_instrument":4,"unverified":5,"pointer_only":0,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 0 violated, 11 with no contract checked; 4 where Syntology's instrument failed) · 5 unverified","official":{"repos":["vahanhuroyan/PuzzleDemoGCL"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/unsupervised-learning-of-visual-1","slug":"unsupervised-learning-of-visual-1","title":"Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles","date":"2016-03-30","arxiv_id":"1603.09246","n_code_links":9,"syntology":{"ran":10,"of":13,"n_ran_checked":7,"n_instrument":3,"unverified":3,"pointer_only":7,"phrase":"10 ran (of which 6 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":null}}],"record_sha256":"a42b89fbab24133342876d8a999bcf2b5bbdca055817dd608b288d8cd2543d52","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}