{"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/filter-args","entry":"filter_args","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":2,"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":2,"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":2,"unverified":3},"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":"2503.07598","paper":"/paper/vace-all-in-one-video-creation-and-editing","title":"VACE: All-in-One Video Creation and Editing","date":"2025-03-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ali-vilab/vace","path":"vace/vace_pipeline.py","file_url":"https://github.com/ali-vilab/vace/blob/HEAD/vace/vace_pipeline.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":"76567eccecdf7882","mcp_get_code":{"code_sha256":"76567eccecdf7882"}},{"arxiv_id":"2410.05757","paper":"/paper/temperature-optimization-for-bayesian-deep","title":"Temperature Optimization for Bayesian Deep Learning","date":"2024-10-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"weiyaw/tempered-posteriors","path":"inference.py","file_url":"https://github.com/weiyaw/tempered-posteriors/blob/HEAD/inference.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"52941c123cdcadee","mcp_get_code":{"code_sha256":"52941c123cdcadee"}},{"arxiv_id":"2402.12259","paper":"/paper/open3dsg-open-vocabulary-3d-scene-graphs-from","title":"Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships","date":"2024-02-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"boschresearch/Open3DSG","path":"open3dsg/models/network_GNN.py","file_url":"https://github.com/boschresearch/Open3DSG/blob/HEAD/open3dsg/models/network_GNN.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"AGPL-3.0","inline_ok":false,"code_sha256_prefix":"5255beb6ffa2726c","mcp_get_code":{"code_sha256":"5255beb6ffa2726c"}},{"arxiv_id":"2305.01644","paper":"/paper/key-locked-rank-one-editing-for-text-to-image","title":"Key-Locked Rank One Editing for Text-to-Image Personalization","date":"2023-05-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ChenDarYen/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization","path":"clipseg/general_utils.py","file_url":"https://github.com/ChenDarYen/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization/blob/HEAD/clipseg/general_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"febf3c4380082c74","mcp_get_code":{"code_sha256":"febf3c4380082c74"}},{"arxiv_id":"2302.14389","paper":"/paper/information-restricted-neural-language-models","title":"Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context","date":"2023-02-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"alexandrepsq/information-restrited-nlms","path":"src/irnlm/utils.py","file_url":"https://github.com/alexandrepsq/information-restrited-nlms/blob/HEAD/src/irnlm/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":"674fa3bc13cb4436","mcp_get_code":{"code_sha256":"674fa3bc13cb4436"}}]}