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D_arch

Syntologyentry name in harvested coderead from the graph 2026-09-24

D_arch appears in the code Syntology harvested for 21 papers, as 8 distinct code bodies found in 31 places (a place is one code body under one paper). At least one of them ran in 17 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named D_arch do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 2 of the 8 distinct code bodies named D_arch; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
0ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 31 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

21 papers shown of 21, newest first; 31 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment 9 Dec 2024 postech-ami/Sound2Scene/BigGAN_PyTorch/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment 9 Dec 2024 postech-ami/Sound2Scene/BigGAN_PyTorch/BigGANdeep.py a99a05ac52533be9 unverified MIT (permissive)
Training Unbiased Diffusion Models From Biased Dataset 2 Mar 2024 ermongroup/fairgen/src/KL-BigGAN/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong no licence file found · pointer only
Training Unbiased Diffusion Models From Biased Dataset 2 Mar 2024 ermongroup/fairgen/src/KL-BigGAN/BigGANdeep.py a99a05ac52533be9 unverified no licence file found · pointer only
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation 26 Apr 2023 gnobitab/FuseDream/BigGAN_utils/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation 26 Apr 2023 gnobitab/FuseDream/BigGAN_utils/BigGANdeep.py a99a05ac52533be9 unverified MIT (permissive)
Handwritten Text Generation from Visual Archetypes 27 Mar 2023 hnam-1765/writevit/models/BigGAN_networks.py d5e0c4c475f7d0ea unverified MIT (permissive)
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis 19 Jun 2022 lyqcom/biggan/model/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong Apache-2.0 (permissive)
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training 31 May 2022 liang-hou/augself-gan/augself-biggan/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
Synthesizing Informative Training Samples with GAN 15 Apr 2022 VICO-UoE/IT-GAN/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong no licence file found · pointer only
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks 28 Jan 2022 ajbrock/BigGAN-PyTorch/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks 28 Jan 2022 ajbrock/BigGAN-PyTorch/BigGANdeep.py a99a05ac52533be9 unverified MIT (permissive)
Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation 14 Jan 2022 giclab/transfer-tuning/src/models/gans/BigGAN/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation 14 Jan 2022 giclab/transfer-tuning/src/models/gans/BigGAN/BigGANdeep.py a99a05ac52533be9 unverified MIT (permissive)
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation 17 Aug 2021 csyxwei/orojar/biggan_discovery/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong BSD-2-Clause (permissive)
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation 17 Aug 2021 csyxwei/orojar/biggan_discovery/BigGANdeep.py a99a05ac52533be9 unverified BSD-2-Clause (permissive)
Self-Supervised GANs with Label Augmentation 16 Jun 2021 liang-hou/ssgan-la/BigGAN-PyTorch/BigGAN.py 59c5a6342553eae1 ran · our draft was wrong no licence file found · pointer only
SMYRF: Efficient Attention using Asymmetric Clustering 11 Oct 2020 identical code first harvested elsewhere 85eb95cce203dfc7 ran · our draft was wrong licence of this copy not recorded
Adversarial score matching and improved sampling for image generation 11 Sep 2020 AlexiaJM/AdversarialConsistentScoreMatching/models/models_biggan.py 732d74a7cda572d3 unverified MIT (permissive)
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement 24 Aug 2020 wpeebles/hessian_penalty/biggan_discovery/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong BSD-2-Clause (permissive)
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement 24 Aug 2020 wpeebles/hessian_penalty/biggan_discovery/BigGANdeep.py a99a05ac52533be9 unverified BSD-2-Clause (permissive)
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation 30 Mar 2020 XingangPan/deep-generative-prior/models/biggan.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation 23 Mar 2020 amzn/convolutional-handwriting-gan/models/BigGAN_networks.py 999dd6faac5c1ade unverified MIT (permissive)
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation 23 Mar 2020 arshjot/ScrabbleGAN/models/model_utils/BigGAN.py d1231aefd93679b5 unverified MIT (permissive)
MineGAN: effective knowledge transfer from GANs to target domains with few images 11 Dec 2019 yaxingwang/MineGAN/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
MineGAN: effective knowledge transfer from GANs to target domains with few images 11 Dec 2019 yaxingwang/MineGAN/BigGANdeep.py a99a05ac52533be9 unverified MIT (permissive)
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks 26 Nov 2018 alexandonian/ganocracy/gan_training/ganocracy/models/biggan.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
Large Scale GAN Training for High Fidelity Natural Image Synthesis 28 Sep 2018 kidist-amde/biggan-pytorch/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
arXiv:aaai_20247 csmiler/ProbeGAN/BigGAN.py 85eb95cce203dfc7 ran · our draft was wrong MIT (permissive)
arXiv:aaai_20247 csmiler/ProbeGAN/BigGANdeep.py a99a05ac52533be9 unverified MIT (permissive)
arXiv:aaai_16917 ganji15/HiGAN/networks/BigGAN_networks.py 5fd3e7a74d93e1d4 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections