{"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-resolution","entry":"get_resolution","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":2,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"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":"2303.13995","paper":"/paper/line-out-of-distribution-detection-by","title":"LINe: Out-of-Distribution Detection by Leveraging Important Neurons","date":"2023-03-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yonghyun-ahn/line-out-of-distribution-detection-by-leveraging-important-neurons","path":"util/hyperrule.py","file_url":"https://github.com/yonghyun-ahn/line-out-of-distribution-detection-by-leveraging-important-neurons/blob/HEAD/util/hyperrule.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a933bb17fdb8ebb4","mcp_get_code":{"code_sha256":"a933bb17fdb8ebb4"}},{"arxiv_id":"2205.09723","paper":"/paper/robust-and-efficient-medical-imaging-with","title":"Robust and Efficient Medical Imaging with Self-Supervision","date":"2022-05-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"google-research/big_transfer","path":"bit_hyperrule.py","file_url":"https://github.com/google-research/big_transfer/blob/HEAD/bit_hyperrule.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":"a933bb17fdb8ebb4","mcp_get_code":{"code_sha256":"a933bb17fdb8ebb4"}},{"arxiv_id":"2111.09805","paper":"/paper/on-the-effectiveness-of-sparsification-for","title":"DICE: Leveraging Sparsification for Out-of-Distribution Detection","date":"2021-11-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"deeplearning-wisc/dice","path":"util/hyperrule.py","file_url":"https://github.com/deeplearning-wisc/dice/blob/HEAD/util/hyperrule.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a933bb17fdb8ebb4","mcp_get_code":{"code_sha256":"a933bb17fdb8ebb4"}},{"arxiv_id":"2108.02833","paper":"/paper/elaborative-rehearsal-for-zero-shot-action","title":"Elaborative Rehearsal for Zero-shot Action Recognition","date":"2021-08-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"DeLightCMU/ElaborativeRehearsal","path":"bit_pytorch/bit_hyperrule.py","file_url":"https://github.com/DeLightCMU/ElaborativeRehearsal/blob/HEAD/bit_pytorch/bit_hyperrule.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a933bb17fdb8ebb4","mcp_get_code":{"code_sha256":"a933bb17fdb8ebb4"}},{"arxiv_id":"1811.11742","paper":"/paper/3d-human-pose-estimation-in-video-with","title":"3D human pose estimation in video with temporal convolutions and semi-supervised training","date":"2018-11-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"facebookresearch/VideoPose3D","path":"inference/infer_video.py","file_url":"https://github.com/facebookresearch/VideoPose3D/blob/HEAD/inference/infer_video.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"3796316610a45f92","mcp_get_code":{"code_sha256":"3796316610a45f92"}}]}