{"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/load-from-pickle","entry":"load_from_pickle","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":1,"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":1,"n_samples_fingerprinted":0,"n_places":6,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":5},"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":"2402.11339","paper":"/paper/expressive-higher-order-link-prediction","title":"Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking","date":"2024-02-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"simonzhang00/hypergraphsymmetrybreaking","path":"hsb/datapipe/loader.py","file_url":"https://github.com/simonzhang00/hypergraphsymmetrybreaking/blob/HEAD/hsb/datapipe/loader.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"code_sha256_prefix":"59b335d89644e2b8","mcp_get_code":{"code_sha256":"59b335d89644e2b8"}},{"arxiv_id":"2010.02432","paper":"/paper/a-panda-no-it-s-a-sloth-slowdown-attacks-on-1","title":"A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference","date":"2020-10-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sanghyun-hong/deepsloth","path":"utils.py","file_url":"https://github.com/sanghyun-hong/deepsloth/blob/HEAD/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"6a4c4e404ba00cd1","mcp_get_code":{"code_sha256":"6a4c4e404ba00cd1"}},{"arxiv_id":"2006.07556","paper":"/paper/neural-architecture-search-using-bayesian","title":"Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels","date":"2020-06-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xingchenwan/nasbowl","path":"loader.py","file_url":"https://github.com/xingchenwan/nasbowl/blob/HEAD/loader.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b7eaf69387d2ac0c","mcp_get_code":{"code_sha256":"b7eaf69387d2ac0c"}},{"arxiv_id":"2002.06776","paper":"/paper/how-to-0wn-nas-in-your-spare-time","title":"How to 0wn NAS in Your Spare Time","date":"2020-02-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Sanghyun-Hong/How-to-0wn-NAS-in-Your-Spare-Time","path":"utils/loaders.py","file_url":"https://github.com/Sanghyun-Hong/How-to-0wn-NAS-in-Your-Spare-Time/blob/HEAD/utils/loaders.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b2a5883a58adeb43","mcp_get_code":{"code_sha256":"b2a5883a58adeb43"}},{"arxiv_id":"1910.06772","paper":"/paper/counterfactual-diagnosis","title":"Counterfactual diagnosis","date":"2019-10-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"babylonhealth/counterfactual-diagnosis","path":"utils.py","file_url":"https://github.com/babylonhealth/counterfactual-diagnosis/blob/HEAD/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":"295309e250349980","mcp_get_code":{"code_sha256":"295309e250349980"}},{"arxiv_id":"1702.00748","paper":"/paper/qcd-aware-recursive-neural-networks-for-jet","title":"QCD-Aware Recursive Neural Networks for Jet Physics","date":"2017-02-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"glouppe/recnn","path":"recnn/preprocessing.py","file_url":"https://github.com/glouppe/recnn/blob/HEAD/recnn/preprocessing.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"863867e0a01794b3","mcp_get_code":{"code_sha256":"863867e0a01794b3"}}]}