{"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/progressmeter","entry":"ProgressMeter","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":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":7,"n_samples_ran":6,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":6,"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":"2410.15430","paper":"/paper/boostadapter-improving-test-time-adaptation","title":"BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping","date":"2024-10-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"taolinzhang/boostadapter","path":"runner.py","file_url":"https://github.com/taolinzhang/boostadapter/blob/HEAD/runner.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"80833faac85e0e96","mcp_get_code":{"code_sha256":"80833faac85e0e96"}},{"arxiv_id":"2403.14198","paper":"/paper/unleashing-unlabeled-data-a-paradigm-for","title":"Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization","date":"2024-03-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"liguopeng0923/UCVGL","path":"train_crossview_sat.py","file_url":"https://github.com/liguopeng0923/UCVGL/blob/HEAD/train_crossview_sat.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"97cbcfb46fa1d469","mcp_get_code":{"code_sha256":"97cbcfb46fa1d469"}},{"arxiv_id":"2210.04092","paper":"/paper/advancing-model-pruning-via-bi-level","title":"Advancing Model Pruning via Bi-level Optimization","date":"2022-10-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"optml-group/bip","path":"trainer/bilevel.py","file_url":"https://github.com/optml-group/bip/blob/HEAD/trainer/bilevel.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"c18c93fce5dd9f44","mcp_get_code":{"code_sha256":"c18c93fce5dd9f44"}},{"arxiv_id":"2207.12258","paper":"/paper/equivariance-and-invariance-inductive-bias","title":"Equivariance and Invariance Inductive Bias for Learning from Insufficient Data","date":"2022-07-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Wangt-CN/EqInv","path":"vipriors_eqinv.py","file_url":"https://github.com/Wangt-CN/EqInv/blob/HEAD/vipriors_eqinv.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":"2f505758149c9b23","mcp_get_code":{"code_sha256":"2f505758149c9b23"}},{"arxiv_id":"2204.10377","paper":"/paper/contrastive-test-time-adaptation","title":"Contrastive Test-Time Adaptation","date":"2022-04-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"DianCh/AdaContrast","path":"target.py","file_url":"https://github.com/DianCh/AdaContrast/blob/HEAD/target.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b4cae627da9d4b40","mcp_get_code":{"code_sha256":"b4cae627da9d4b40"}},{"arxiv_id":"2203.09343","paper":"/paper/cyborgs-contrastively-bootstrapping-object","title":"CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation","date":"2022-03-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"renwang435/CYBORGS","path":"main_cyborgs.py","file_url":"https://github.com/renwang435/CYBORGS/blob/HEAD/main_cyborgs.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"07593e2440494a27","mcp_get_code":{"code_sha256":"07593e2440494a27"}},{"arxiv_id":"2103.05152","paper":"/paper/knowledge-evolution-in-neural-networks","title":"Knowledge Evolution in Neural Networks","date":"2021-03-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ahmdtaha/knowledge_evolution","path":"KE_model.py","file_url":"https://github.com/ahmdtaha/knowledge_evolution/blob/HEAD/KE_model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"141518eec41c8dd6","mcp_get_code":{"code_sha256":"141518eec41c8dd6"}}]}