{"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/read-aclimdb","entry":"read_aclImdb","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":6,"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":1,"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":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":"2604.21046","paper":"/paper/arxiv-2604-21046","title":"JEPAMatch: Geometric Representation Shaping for Semi-Supervised Learning","date":null,"month_inferred_from_arxiv_id":"2026-04","title_source":"syntology","repo":"aah94/JEPAMatch","path":"preprocess/preprocess_aclimdb.py","file_url":"https://github.com/aah94/JEPAMatch/blob/HEAD/preprocess/preprocess_aclimdb.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"eed03e5ff5639e09","mcp_get_code":{"code_sha256":"eed03e5ff5639e09"}},{"arxiv_id":"2409.19245","paper":"/paper/forgetting-ignorance-or-myopia-revisiting-key","title":"Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning","date":"2024-09-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"wxr99/Forgetting-Ignorance-or-Myopia-Revisiting-Key-Challenges-in-Online-Continual-Learning","path":"preprocess/preprocess_aclimdb.py","file_url":"https://github.com/wxr99/Forgetting-Ignorance-or-Myopia-Revisiting-Key-Challenges-in-Online-Continual-Learning/blob/HEAD/preprocess/preprocess_aclimdb.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"eed03e5ff5639e09","mcp_get_code":{"code_sha256":"eed03e5ff5639e09"}},{"arxiv_id":"2403.15567","paper":"/paper/do-not-trust-what-you-trust-miscalibration-in","title":"Do not trust what you trust: Miscalibration in Semi-supervised Learning","date":"2024-03-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shambhavicodes/miscalibration-ssl","path":"preprocess/preprocess_aclimdb.py","file_url":"https://github.com/shambhavicodes/miscalibration-ssl/blob/HEAD/preprocess/preprocess_aclimdb.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"eed03e5ff5639e09","mcp_get_code":{"code_sha256":"eed03e5ff5639e09"}},{"arxiv_id":"2310.18910","paper":"/paper/instant-semi-supervised-learning-with","title":"InstanT: Semi-supervised Learning with Instance-dependent Thresholds","date":"2023-10-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tmllab/2023_NeurIPS_InstanT","path":"preprocess/preprocess_aclimdb.py","file_url":"https://github.com/tmllab/2023_NeurIPS_InstanT/blob/HEAD/preprocess/preprocess_aclimdb.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"eed03e5ff5639e09","mcp_get_code":{"code_sha256":"eed03e5ff5639e09"}},{"arxiv_id":"2306.04621","paper":"/paper/align-distill-and-augment-everything-all-at","title":"Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration","date":"2023-06-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"emasa/adello-ltssl","path":"preprocess/preprocess_aclimdb.py","file_url":"https://github.com/emasa/adello-ltssl/blob/HEAD/preprocess/preprocess_aclimdb.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"eed03e5ff5639e09","mcp_get_code":{"code_sha256":"eed03e5ff5639e09"}},{"arxiv_id":"2208.07204","paper":"/paper/usb-a-unified-semi-supervised-learning","title":"USB: A Unified Semi-supervised Learning Benchmark for Classification","date":"2022-08-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Westlake-AI/SemiReward","path":"preprocess/preprocess_aclimdb.py","file_url":"https://github.com/Westlake-AI/SemiReward/blob/HEAD/preprocess/preprocess_aclimdb.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"eed03e5ff5639e09","mcp_get_code":{"code_sha256":"eed03e5ff5639e09"}}]}