{"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/split-cluster-acc-v2-balanced","entry":"split_cluster_acc_v2_balanced","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-25T09:33:49+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":3,"n_samples_ran":3,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":2,"ran":1,"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":"2504.03755","paper":"/paper/protogcd-unified-and-unbiased-prototype","title":"ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery","date":"2025-04-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mashijie1028/protogcd","path":"my_utils/cluster_and_log_utils.py","file_url":"https://github.com/mashijie1028/protogcd/blob/HEAD/my_utils/cluster_and_log_utils.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"50edbf115e750bdd","mcp_get_code":{"code_sha256":"50edbf115e750bdd"}},{"arxiv_id":"2403.09974","paper":"/paper/get-unlocking-the-multi-modal-potential-of","title":"Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery","date":"2024-03-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"enguangw/get","path":"util/cluster_and_log_utils.py","file_url":"https://github.com/enguangw/get/blob/HEAD/util/cluster_and_log_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a291ab390272cf0e","mcp_get_code":{"code_sha256":"a291ab390272cf0e"}},{"arxiv_id":"2403.04272","paper":"/paper/active-generalized-category-discovery","title":"Active Generalized Category Discovery","date":"2024-03-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mashijie1028/activegcd","path":"utils_al/train_recipes_ema.py","file_url":"https://github.com/mashijie1028/activegcd/blob/HEAD/utils_al/train_recipes_ema.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"70bddc068d650d19","mcp_get_code":{"code_sha256":"70bddc068d650d19"}},{"arxiv_id":"2310.01376","paper":"/paper/towards-distribution-agnostic-generalized-1","title":"Towards Distribution-Agnostic Generalized Category Discovery","date":"2023-10-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jianhongbai/bacon","path":"model/bacon.py","file_url":"https://github.com/jianhongbai/bacon/blob/HEAD/model/bacon.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"50edbf115e750bdd","mcp_get_code":{"code_sha256":"50edbf115e750bdd"}},{"arxiv_id":"Wang_GET_Unlocking_the_Multi-modal_Potential_of_CLIP_for_Generalized_Category_CVPR_2025_paper","paper":null,"title":"arXiv:Wang_GET_Unlocking_the_Multi-modal_Potential_of_CLIP_for_Generalized_Category_CVPR_2025_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"enguangW/GET","path":"util/cluster_and_log_utils.py","file_url":"https://github.com/enguangW/GET/blob/HEAD/util/cluster_and_log_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a291ab390272cf0e","mcp_get_code":{"code_sha256":"a291ab390272cf0e"}}]}