{"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/create-config","entry":"create_config","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":11,"n_papers_ran":5,"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":10,"n_samples_ran":4,"n_samples_fingerprinted":0,"n_places":11,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"ran":3,"unverified":6},"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":"2606.13818","paper":"/paper/arxiv-2606-13818","title":"PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"PGM-Lab/2022-AISTATS-diversity","path":"uncertainty_baselines/models/bert.py","file_url":"https://github.com/PGM-Lab/2022-AISTATS-diversity/blob/HEAD/uncertainty_baselines/models/bert.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"295ee5b09ae2c97c","mcp_get_code":{"code_sha256":"295ee5b09ae2c97c"}},{"arxiv_id":"2601.12055","paper":"/paper/arxiv-2601-12055","title":"Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer","date":null,"month_inferred_from_arxiv_id":"2026-01","title_source":"syntology","repo":"IPMI-ICNS-UKE/AUTO-DIP","path":"data_loaders/create_configs_fmd.py","file_url":"https://github.com/IPMI-ICNS-UKE/AUTO-DIP/blob/HEAD/data_loaders/create_configs_fmd.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"593b5a6395d8d993","mcp_get_code":{"code_sha256":"593b5a6395d8d993"}},{"arxiv_id":"2506.12687","paper":null,"title":"arXiv:2506.12687","date":null,"month_inferred_from_arxiv_id":"2025-06","title_source":null,"repo":"Yuzt-zju/CoCorrRec","path":"module/config.py","file_url":"https://github.com/Yuzt-zju/CoCorrRec/blob/HEAD/module/config.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"61476ed48967cec6","mcp_get_code":{"code_sha256":"61476ed48967cec6"}},{"arxiv_id":"2406.03946","paper":"/paper/a-probabilistic-approach-to-learning-the","title":"A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs","date":"2024-06-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"QUVA-Lab/partial-escnn","path":"experiments/eval_model.py","file_url":"https://github.com/QUVA-Lab/partial-escnn/blob/HEAD/experiments/eval_model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause-Clear","inline_ok":false,"code_sha256_prefix":"c660e35bb41e7b32","mcp_get_code":{"code_sha256":"c660e35bb41e7b32"}},{"arxiv_id":"2310.04678","paper":"/paper/doris-mae-scientific-document-retrieval-using","title":"DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries","date":"2023-10-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Real-Doris-Mae/Doris-Mae-Dataset","path":"benchmarking/config.py","file_url":"https://github.com/Real-Doris-Mae/Doris-Mae-Dataset/blob/HEAD/benchmarking/config.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"29ff7e283ebb4d2f","mcp_get_code":{"code_sha256":"29ff7e283ebb4d2f"}},{"arxiv_id":"2307.16177","paper":"/paper/fusing-vhr-post-disaster-aerial-imagery-and","title":"Fusing VHR Post-disaster Aerial Imagery and LiDAR Data for Roof Classification in the Caribbean","date":"2023-07-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"GFDRR/caribbean-rooftop-classification","path":"utils/config.py","file_url":"https://github.com/GFDRR/caribbean-rooftop-classification/blob/HEAD/utils/config.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"53d45e52e02599a7","mcp_get_code":{"code_sha256":"53d45e52e02599a7"}},{"arxiv_id":"2301.11558","paper":"/paper/accelerating-guided-diffusion-sampling-with","title":"Accelerating Guided Diffusion Sampling with Splitting Numerical Methods","date":"2023-01-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"swizad/split-diffusion","path":"config.py","file_url":"https://github.com/swizad/split-diffusion/blob/HEAD/config.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3b0e100c928e4d3f","mcp_get_code":{"code_sha256":"3b0e100c928e4d3f"}},{"arxiv_id":"2106.04015","paper":"/paper/uncertainty-baselines-benchmarks-for","title":"Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning","date":"2021-06-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"thlarsen13/thlarsen_uncertainty_models","path":"uncertainty_baselines/models/bert.py","file_url":"https://github.com/thlarsen13/thlarsen_uncertainty_models/blob/HEAD/uncertainty_baselines/models/bert.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"295ee5b09ae2c97c","mcp_get_code":{"code_sha256":"295ee5b09ae2c97c"}},{"arxiv_id":"2003.13830","paper":"/paper/sign-language-transformers-joint-end-to-end","title":"Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation","date":"2020-03-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"OvrK12/slt","path":"configs/generate_config.py","file_url":"https://github.com/OvrK12/slt/blob/HEAD/configs/generate_config.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":"e6f5331cdef4924c","mcp_get_code":{"code_sha256":"e6f5331cdef4924c"}},{"arxiv_id":"1902.06704","paper":"/paper/towards-non-saturating-recurrent-units-for","title":"Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies","date":"2019-01-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"apsarath/NRU","path":"nru_project/utils/utils.py","file_url":"https://github.com/apsarath/NRU/blob/HEAD/nru_project/utils/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":"33a1f20d474facef","mcp_get_code":{"code_sha256":"33a1f20d474facef"}},{"arxiv_id":"aaai_5479","paper":null,"title":"arXiv:aaai_5479","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"thunlp/QAjudge","path":"config_parser/parser.py","file_url":"https://github.com/thunlp/QAjudge/blob/HEAD/config_parser/parser.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"313ff292e85c84e9","mcp_get_code":{"code_sha256":"313ff292e85c84e9"}}]}