{"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/time-function","entry":"time_function","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":7,"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":1,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":4},"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":"2509.11937","paper":"/paper/arxiv-2509-11937","title":"MMORE: Massive Multimodal Open RAG & Extraction","date":null,"month_inferred_from_arxiv_id":"2025-09","title_source":"syntology","repo":"swiss-ai/mmore","path":"src/mmore/profiler.py","file_url":"https://github.com/swiss-ai/mmore/blob/HEAD/src/mmore/profiler.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":"f1a5d72ab15e48bc","mcp_get_code":{"code_sha256":"f1a5d72ab15e48bc"}},{"arxiv_id":"2402.03300","paper":"/paper/deepseekmath-pushing-the-limits-of","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","date":"2024-02-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yynil/rwkvinside","path":"rl/profiler.py","file_url":"https://github.com/yynil/rwkvinside/blob/HEAD/rl/profiler.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":"b016e9b55d3c8dad","mcp_get_code":{"code_sha256":"b016e9b55d3c8dad"}},{"arxiv_id":"2311.16054","paper":"/paper/metric-space-magnitude-for-evaluating","title":"Metric Space Magnitude for Evaluating the Diversity of Latent Representations","date":"2023-11-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"uoguelph-mlrg/GGM-metrics","path":"evaluation/gin_evaluation.py","file_url":"https://github.com/uoguelph-mlrg/GGM-metrics/blob/HEAD/evaluation/gin_evaluation.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"9dbb5a4e5682531e","mcp_get_code":{"code_sha256":"9dbb5a4e5682531e"}},{"arxiv_id":"2305.04111","paper":"/paper/efficient-and-degree-guided-graph-generation","title":"Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling","date":"2023-05-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tufts-ml/graph-generation-EDGE","path":"eval_utils/evaluation/graph_structure_evaluation.py","file_url":"https://github.com/tufts-ml/graph-generation-EDGE/blob/HEAD/eval_utils/evaluation/graph_structure_evaluation.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"9dbb5a4e5682531e","mcp_get_code":{"code_sha256":"9dbb5a4e5682531e"}},{"arxiv_id":"1902.00981","paper":"/paper/learning-counterfactual-representations-for","title":"Learning Counterfactual Representations for Estimating Individual Dose-Response Curves","date":"2019-02-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"d909b/drnet","path":"drnet/apps/util.py","file_url":"https://github.com/d909b/drnet/blob/HEAD/drnet/apps/util.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8d839b0d284d8c2e","mcp_get_code":{"code_sha256":"8d839b0d284d8c2e"}},{"arxiv_id":"1810.00656","paper":"/paper/perfect-match-a-simple-method-for-learning","title":"Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks","date":"2018-10-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"d909b/perfect_match","path":"perfect_match/apps/util.py","file_url":"https://github.com/d909b/perfect_match/blob/HEAD/perfect_match/apps/util.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8d839b0d284d8c2e","mcp_get_code":{"code_sha256":"8d839b0d284d8c2e"}},{"arxiv_id":"1807.09413","paper":"/paper/3dfeat-net-weakly-supervised-local-3d","title":"3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration","date":"2018-07-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yewzijian/3DFeatNet","path":"utils.py","file_url":"https://github.com/yewzijian/3DFeatNet/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":"a3b6c16887fc456c","mcp_get_code":{"code_sha256":"a3b6c16887fc456c"}}]}