{"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/path-to-str","entry":"path_to_str","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":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":4,"n_samples_ran":1,"n_samples_fingerprinted":1,"n_places":5,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"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":"2608.31009","paper":"/paper/arxiv-2608-31009","title":"Language-Informed Flow Matching for Trend-Guided Structure-Based 3D Molecular Generation","date":null,"month_inferred_from_arxiv_id":"2026-08","title_source":"syntology","repo":"kasurl/LiFT","path":"src/sample_and_evaluate.py","file_url":"https://github.com/kasurl/LiFT/blob/HEAD/src/sample_and_evaluate.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a9b68cec61c96e07","mcp_get_code":{"code_sha256":"a9b68cec61c96e07"}},{"arxiv_id":"2406.12031","paper":"/paper/large-scale-transfer-learning-for-tabular","title":"Large Scale Transfer Learning for Tabular Data via Language Modeling","date":"2024-06-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mlfoundations/tabliblib","path":"tabliblib/dedup_utils.py","file_url":"https://github.com/mlfoundations/tabliblib/blob/HEAD/tabliblib/dedup_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"39954605fabc6757","mcp_get_code":{"code_sha256":"39954605fabc6757"}},{"arxiv_id":"2203.07544","paper":"/paper/a-unified-framework-for-rank-based-evaluation","title":"A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs","date":"2022-03-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"pykeen/pykeen","path":"src/pykeen/ablation/ablation.py","file_url":"https://github.com/pykeen/pykeen/blob/HEAD/src/pykeen/ablation/ablation.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"48a40bdaf5175dc2","mcp_get_code":{"code_sha256":"48a40bdaf5175dc2"}},{"arxiv_id":"2007.14175","paper":"/paper/pykeen-1-0-a-python-library-for-training-and","title":"PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings","date":"2020-07-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"SmartDataAnalytics/PyKEEN","path":"src/pykeen/ablation/ablation.py","file_url":"https://github.com/SmartDataAnalytics/PyKEEN/blob/HEAD/src/pykeen/ablation/ablation.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"48a40bdaf5175dc2","mcp_get_code":{"code_sha256":"48a40bdaf5175dc2"}},{"arxiv_id":"openreview_pB6WAdnRDR","paper":null,"title":"arXiv:openreview_pB6WAdnRDR","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"pfizer-opensource/SAND","path":"sand/index/index.py","file_url":"https://github.com/pfizer-opensource/SAND/blob/HEAD/sand/index/index.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":"e126ac6d6061feeb","mcp_get_code":{"code_sha256":"e126ac6d6061feeb"}}]}