{"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/read-split","entry":"read_split","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":4,"n_samples_ran":2,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":2,"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":"2409.12140","paper":"/paper/morag-multi-fusion-retrieval-augmented","title":"MoRAG -- Multi-Fusion Retrieval Augmented Generation for Human Motion","date":"2024-09-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Motion-RAG/MoRAG","path":"MoRAG/morag_retrieval.py","file_url":"https://github.com/Motion-RAG/MoRAG/blob/HEAD/MoRAG/morag_retrieval.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":"8e0292a5562ba3ad","mcp_get_code":{"code_sha256":"8e0292a5562ba3ad"}},{"arxiv_id":"2401.02460","paper":"/paper/improved-zero-shot-classification-by-adapting","title":"Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions","date":"2024-01-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cvl-umass/AdaptCLIPZS","path":"vdt_utils.py","file_url":"https://github.com/cvl-umass/AdaptCLIPZS/blob/HEAD/vdt_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"0fb1c181d94319b3","mcp_get_code":{"code_sha256":"0fb1c181d94319b3"}},{"arxiv_id":"2301.01197","paper":"/paper/backdoor-attacks-against-dataset-distillation","title":"Backdoor Attacks Against Dataset Distillation","date":"2023-01-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"liuyugeng/baadd","path":"DD/datasets/pascal_voc.py","file_url":"https://github.com/liuyugeng/baadd/blob/HEAD/DD/datasets/pascal_voc.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":"26cdf3966b9542d6","mcp_get_code":{"code_sha256":"26cdf3966b9542d6"}},{"arxiv_id":"1910.02551","paper":"/paper/improving-dataset-distillation","title":"Soft-Label Dataset Distillation and Text Dataset Distillation","date":"2019-10-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ilia10000/dataset-distillation","path":"datasets/pascal_voc.py","file_url":"https://github.com/ilia10000/dataset-distillation/blob/HEAD/datasets/pascal_voc.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"4cd96988611c685e","mcp_get_code":{"code_sha256":"4cd96988611c685e"}},{"arxiv_id":"1811.10959","paper":"/paper/dataset-distillation","title":"Dataset Distillation","date":"2018-11-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"SsnL/dataset-distillation","path":"datasets/pascal_voc.py","file_url":"https://github.com/SsnL/dataset-distillation/blob/HEAD/datasets/pascal_voc.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"26cdf3966b9542d6","mcp_get_code":{"code_sha256":"26cdf3966b9542d6"}}]}