{"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/smooth-crossentropy","entry":"smooth_crossentropy","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":3,"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":5,"n_samples_ran":4,"n_samples_fingerprinted":0,"n_places":6,"n_places_pointer_only":4,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":2,"ran_fixture":0,"ran":2,"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":"2410.22656","paper":"/paper/reweighting-local-mimina-with-tilted-sam","title":"Reweighting Local Mimina with Tilted SAM","date":"2024-10-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"litian96/TSAM","path":"image/model/smooth_cross_entropy.py","file_url":"https://github.com/litian96/TSAM/blob/HEAD/image/model/smooth_cross_entropy.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"f4dd60141fdfbf0b","mcp_get_code":{"code_sha256":"f4dd60141fdfbf0b"}},{"arxiv_id":"2410.10683","paper":"/paper/sampa-sharpness-aware-minimization","title":"SAMPa: Sharpness-aware Minimization Parallelized","date":"2024-10-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"LIONS-EPFL/SAMPa","path":"model/smooth_cross_entropy.py","file_url":"https://github.com/LIONS-EPFL/SAMPa/blob/HEAD/model/smooth_cross_entropy.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8ba7b4a94a39f790","mcp_get_code":{"code_sha256":"8ba7b4a94a39f790"}},{"arxiv_id":"2410.10683","paper":"/paper/sampa-sharpness-aware-minimization","title":"SAMPa: Sharpness-aware Minimization Parallelized","date":"2024-10-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"LIONS-EPFL/SAMPa","path":"utility.py","file_url":"https://github.com/LIONS-EPFL/SAMPa/blob/HEAD/utility.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"f86df65986410c1d","mcp_get_code":{"code_sha256":"f86df65986410c1d"}},{"arxiv_id":"2410.10373","paper":"/paper/sharpness-aware-minimization-efficiently","title":"Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training","date":"2024-10-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zzp1012/SAM-in-Late-Phase","path":"src/utils/SAM.py","file_url":"https://github.com/zzp1012/SAM-in-Late-Phase/blob/HEAD/src/utils/SAM.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"996ab226a85f70fb","mcp_get_code":{"code_sha256":"996ab226a85f70fb"}},{"arxiv_id":"2407.12993","paper":"/paper/improving-sam-requires-rethinking-its","title":"Improving SAM Requires Rethinking its Optimization Formulation","date":"2024-07-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lions-epfl/bisam","path":"loss_fnc.py","file_url":"https://github.com/lions-epfl/bisam/blob/HEAD/loss_fnc.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e34a3257087e025a","mcp_get_code":{"code_sha256":"e34a3257087e025a"}},{"arxiv_id":"2405.20763","paper":"/paper/improving-generalization-and-convergence-by","title":"Improving Generalization and Convergence by Enhancing Implicit Regularization","date":"2024-05-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"wmz9/IRE-algorithm-framework","path":"CV/cifar/model/smooth_cross_entropy.py","file_url":"https://github.com/wmz9/IRE-algorithm-framework/blob/HEAD/CV/cifar/model/smooth_cross_entropy.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"f4dd60141fdfbf0b","mcp_get_code":{"code_sha256":"f4dd60141fdfbf0b"}}]}