{"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/inv-sigmoid","entry":"inv_sigmoid","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":4,"n_samples_ran":2,"n_samples_fingerprinted":1,"n_places":5,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":1,"ran":1,"unverified":2},"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":"2608.15073","paper":"/paper/arxiv-2608-15073","title":"BOCoDe: Engineering-Centered Benchmarking for Bayesian Optimization","date":null,"month_inferred_from_arxiv_id":"2026-08","title_source":"syntology","repo":"XZT008/Standard-GP-is-all-you-need-for-HDBO","path":"baselines/GP.py","file_url":"https://github.com/XZT008/Standard-GP-is-all-you-need-for-HDBO/blob/HEAD/baselines/GP.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"d07d5892b884a818","mcp_get_code":{"code_sha256":"d07d5892b884a818"}},{"arxiv_id":"2508.17090","paper":"/paper/arxiv-2508-17090","title":"Neural Stochastic Differential Equations on Compact State Spaces: Theory, Methods, and Application to Suicide Risk Modeling","date":null,"month_inferred_from_arxiv_id":"2025-08","title_source":"syntology","repo":"mogu-lab/wsp-demo","path":"utils.py","file_url":"https://github.com/mogu-lab/wsp-demo/blob/HEAD/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"f6e3e29cdcc00d6d","mcp_get_code":{"code_sha256":"f6e3e29cdcc00d6d"}},{"arxiv_id":"2406.16971","paper":"/paper/flexible-tails-for-normalizing-flows","title":"Flexible Tails for Normalizing Flows","date":"2024-06-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tennessee-wallaceh/tailnflows","path":"tailnflows/models/utils.py","file_url":"https://github.com/tennessee-wallaceh/tailnflows/blob/HEAD/tailnflows/models/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"d07d5892b884a818","mcp_get_code":{"code_sha256":"d07d5892b884a818"}},{"arxiv_id":"2203.04913","paper":"/paper/leveling-down-in-computer-vision-pareto","title":"Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers","date":"2022-03-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"oxfordinternetinstitute/oxonfair","path":"src/oxonfair/learners/fair_frontier.py","file_url":"https://github.com/oxfordinternetinstitute/oxonfair/blob/HEAD/src/oxonfair/learners/fair_frontier.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"a0f7783ca53b47b4","mcp_get_code":{"code_sha256":"a0f7783ca53b47b4"}},{"arxiv_id":"1804.02767","paper":"/paper/yolov3-an-incremental-improvement","title":"YOLOv3: An Incremental Improvement","date":"2018-04-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"euske/derpyolo","path":"vocutils.py","file_url":"https://github.com/euske/derpyolo/blob/HEAD/vocutils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"ebad0ef33daaaf54","mcp_get_code":{"code_sha256":"ebad0ef33daaaf54"}}]}