{"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/log-2","entry":"Log","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":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":6,"n_samples_ran":5,"n_samples_fingerprinted":2,"n_places":6,"n_places_pointer_only":4,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":5,"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":"2502.18508","paper":"/paper/refine-inversion-free-backdoor-defense-via","title":"REFINE: Inversion-Free Backdoor Defense via Model Reprogramming","date":"2025-02-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"whitolfchen/refine","path":"refine.py","file_url":"https://github.com/whitolfchen/refine/blob/HEAD/refine.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"ec3a04dbcd72b9ff","mcp_get_code":{"code_sha256":"ec3a04dbcd72b9ff"}},{"arxiv_id":"2410.05295","paper":"/paper/autodan-turbo-a-lifelong-agent-for-strategy","title":"AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs","date":"2024-10-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"safolab-wisc/autodan-turbo","path":"pipeline.py","file_url":"https://github.com/safolab-wisc/autodan-turbo/blob/HEAD/pipeline.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"aac277ca6868ec00","mcp_get_code":{"code_sha256":"aac277ca6868ec00"}},{"arxiv_id":"2405.20313","paper":"/paper/sequence-augmented-se-3-flow-matching-for","title":"Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation","date":"2024-05-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dreamfold/foldflow","path":"FoldFlow/so3/so3_helpers.py","file_url":"https://github.com/dreamfold/foldflow/blob/HEAD/FoldFlow/so3/so3_helpers.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"79b0d906d3f1985a","mcp_get_code":{"code_sha256":"79b0d906d3f1985a"}},{"arxiv_id":"2405.09786","paper":"/paper/ibd-psc-input-level-backdoor-detection-via","title":"IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency","date":"2024-05-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"thuyimingli/backdoorbox","path":"core/defenses/IBD_PSC.py","file_url":"https://github.com/thuyimingli/backdoorbox/blob/HEAD/core/defenses/IBD_PSC.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-2.0","inline_ok":false,"code_sha256_prefix":"e6ae719ff0fda7d5","mcp_get_code":{"code_sha256":"e6ae719ff0fda7d5"}},{"arxiv_id":"2301.13749","paper":"/paper/multi-fidelity-covariance-estimation-in-the","title":"Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry","date":"2023-01-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"amaurais/lemf","path":"spd.py","file_url":"https://github.com/amaurais/lemf/blob/HEAD/spd.py","status":"unverified","verification_level":0,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"d6f86956b960cd87","mcp_get_code":{"code_sha256":"d6f86956b960cd87"}},{"arxiv_id":"2106.06103","paper":"/paper/conditional-variational-autoencoder-with","title":"Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech","date":null,"month_inferred_from_arxiv_id":"2021-06","title_source":"archive","repo":"jmp84/vits","path":"models.py","file_url":"https://github.com/jmp84/vits/blob/HEAD/models.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"ecedf3198e3c1020","mcp_get_code":{"code_sha256":"ecedf3198e3c1020"}}]}