{"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-accs-for-epoch-across-batches","entry":"get_accs_for_epoch_across_batches","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":5,"n_papers_ran":0,"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":0,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"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":"2604.04518","paper":"/paper/arxiv-2604-04518","title":"Reproducibility study on how to find Spurious Correlations, Shortcut Learning, Clever Hans or Group-Distributional nonrobustness and how to fix them","date":null,"month_inferred_from_arxiv_id":"2026-04","title_source":"syntology","repo":"kohpangwei/group_DRO","path":"analysis_utils.py","file_url":"https://github.com/kohpangwei/group_DRO/blob/HEAD/analysis_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"381380e09fd105f8","mcp_get_code":{"code_sha256":"381380e09fd105f8"}},{"arxiv_id":"2510.02818","paper":"/paper/arxiv-2510-02818","title":"Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets","date":null,"month_inferred_from_arxiv_id":"2025-10","title_source":"syntology","repo":"Sung-Ho-Jo/hierarchical-dro","path":"analysis_utils.py","file_url":"https://github.com/Sung-Ho-Jo/hierarchical-dro/blob/HEAD/analysis_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"381380e09fd105f8","mcp_get_code":{"code_sha256":"381380e09fd105f8"}},{"arxiv_id":"2312.03044","paper":"/paper/rest-enhancing-group-robustness-in-dnns","title":"REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training","date":"2023-12-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhao1402072392/rest","path":"analysis_utils.py","file_url":"https://github.com/zhao1402072392/rest/blob/HEAD/analysis_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"381380e09fd105f8","mcp_get_code":{"code_sha256":"381380e09fd105f8"}},{"arxiv_id":"2310.06161","paper":"/paper/mitigating-simplicity-bias-in-deep-learning","title":"Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness","date":"2023-10-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"estija/cmid","path":"analysis_utils.py","file_url":"https://github.com/estija/cmid/blob/HEAD/analysis_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"381380e09fd105f8","mcp_get_code":{"code_sha256":"381380e09fd105f8"}},{"arxiv_id":"2306.11074","paper":"/paper/simple-and-fast-group-robustness-by-automatic","title":"Simple and Fast Group Robustness by Automatic Feature Reweighting","date":"2023-06-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"AndPotap/afr","path":"gdro_fork/analysis_utils.py","file_url":"https://github.com/AndPotap/afr/blob/HEAD/gdro_fork/analysis_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"381380e09fd105f8","mcp_get_code":{"code_sha256":"381380e09fd105f8"}}]}