{"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/affinecoupling","entry":"AffineCoupling","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":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":10,"n_samples_fingerprinted":2,"n_places":10,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":10,"unverified":0},"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":"2606.09257","paper":"/paper/arxiv-2606-09257","title":"BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"zadid6pretam/BSTabDiff","path":"bstabdiff/block_subunit_gen.py","file_url":"https://github.com/zadid6pretam/BSTabDiff/blob/HEAD/bstabdiff/block_subunit_gen.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"d3494dc9b96d545d","mcp_get_code":{"code_sha256":"d3494dc9b96d545d"}},{"arxiv_id":"2305.08457","paper":"/paper/molhf-a-hierarchical-normalizing-flow-for","title":"MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation","date":"2023-05-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"violet-sto/molhf","path":"models/MolHF.py","file_url":"https://github.com/violet-sto/molhf/blob/HEAD/models/MolHF.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e0ea9e5584744a7e","mcp_get_code":{"code_sha256":"e0ea9e5584744a7e"}},{"arxiv_id":"1807.03039","paper":"/paper/glow-generative-flow-with-invertible-1x1","title":"Glow: Generative Flow with Invertible 1x1 Convolutions","date":"2018-07-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"rosinality/glow-pytorch","path":"model.py","file_url":"https://github.com/rosinality/glow-pytorch/blob/HEAD/model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"6d49cd29d96b9e28","mcp_get_code":{"code_sha256":"6d49cd29d96b9e28"}},{"arxiv_id":"1807.03039","paper":"/paper/glow-generative-flow-with-invertible-1x1","title":"Glow: Generative Flow with Invertible 1x1 Convolutions","date":"2018-07-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"vvvm23/glow","path":"glow/glow.py","file_url":"https://github.com/vvvm23/glow/blob/HEAD/glow/glow.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"ccfc200e43a99a10","mcp_get_code":{"code_sha256":"ccfc200e43a99a10"}},{"arxiv_id":"1807.03039","paper":"/paper/glow-generative-flow-with-invertible-1x1","title":"Glow: Generative Flow with Invertible 1x1 Convolutions","date":"2018-07-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Naagar/Glow_NormalizingFlow_implimentation","path":"glow.py","file_url":"https://github.com/Naagar/Glow_NormalizingFlow_implimentation/blob/HEAD/glow.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"373806f87fa29229","mcp_get_code":{"code_sha256":"373806f87fa29229"}},{"arxiv_id":"1807.03039","paper":"/paper/glow-generative-flow-with-invertible-1x1","title":"Glow: Generative Flow with Invertible 1x1 Convolutions","date":"2018-07-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lifeitech/fce-2d","path":"flows/glow.py","file_url":"https://github.com/lifeitech/fce-2d/blob/HEAD/flows/glow.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"59684e4be6834453","mcp_get_code":{"code_sha256":"59684e4be6834453"}},{"arxiv_id":"1807.03039","paper":"/paper/glow-generative-flow-with-invertible-1x1","title":"Glow: Generative Flow with Invertible 1x1 Convolutions","date":"2018-07-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"KiUngSong/Generative-Models","path":"Glow/Glow_pytorch.py","file_url":"https://github.com/KiUngSong/Generative-Models/blob/HEAD/Glow/Glow_pytorch.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"22cf5be44ad0609c","mcp_get_code":{"code_sha256":"22cf5be44ad0609c"}},{"arxiv_id":"1605.08803","paper":"/paper/density-estimation-using-real-nvp","title":"Density estimation using Real NVP","date":"2016-05-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"simonwestberg/DD2412-Glow","path":"model.py","file_url":"https://github.com/simonwestberg/DD2412-Glow/blob/HEAD/model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b774329417d3cb53","mcp_get_code":{"code_sha256":"b774329417d3cb53"}},{"arxiv_id":"1605.08803","paper":"/paper/density-estimation-using-real-nvp","title":"Density estimation using Real NVP","date":"2016-05-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"rhychen/Glow","path":"models/glow.py","file_url":"https://github.com/rhychen/Glow/blob/HEAD/models/glow.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"fcdf1094082b5983","mcp_get_code":{"code_sha256":"fcdf1094082b5983"}},{"arxiv_id":"1410.8516","paper":"/paper/nice-non-linear-independent-components","title":"NICE: Non-linear Independent Components Estimation","date":"2014-10-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"vincentstimper/normalizing-flows","path":"normflows/flows/affine/coupling.py","file_url":"https://github.com/vincentstimper/normalizing-flows/blob/HEAD/normflows/flows/affine/coupling.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3c08d19a3ff50fa8","mcp_get_code":{"code_sha256":"3c08d19a3ff50fa8"}}]}