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DownBlock

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

DownBlock appears in the code Syntology harvested for 13 papers, as 18 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 11 of the papers; 10 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 DownBlock 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 14 of the 18 distinct code bodies named DownBlock; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
14ran
4unverified
10fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 18 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

13 papers shown of 13, newest first; 18 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, and the graph's for 3 papers added by Syntology. 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
Conditional Flow Matching for Probabilistic Downscaling of Maximum 3-day Snowfall in Alaska added by Syntology 2026-04 (from id) glide-ism/wrf-flow/models/unet_models.py 41ea7ee2c5f317fc unverified BSD-3-Clause (permissive)
Depth-Supervised Fusion Network for Seamless-Free Image Stitching added by Syntology 2025-10 (from id) DLUT-YRH/DSFN/Fusion/newCodes/network.py 2789dbe4267ceb7c ran fingerprinted no licence file found · pointer only
-Semantics-Aware Logical Anomaly Detection added by Syntology 2025-09 (from id) MaticFuc/SALAD/ae.py b4454cfb0d4d9a77 ran MIT (permissive)
PAPM: A Physics-aware Proxy Model for Process Systems 7 Jul 2024 pengwei07/papm/papm/model/pdeunet.py 702691d64a49bfbc ran fingerprinted no licence file found · pointer only
Active Diffusion Subsampling 20 Jun 2024 active-diffusion-subsampling/ads/models/layers.py 40e6c3c62c8a2817 ran no licence file found · pointer only
Precipitation nowcasting with generative diffusion models 13 Aug 2023 fmerizzi/precipitation-nowcasting-with-generative-diffusion-models/models.py 6a39e384e67c8f10 ran no licence file found · pointer only
Generating astronomical spectra from photometry with conditional diffusion models 2022-11 (from id) larsdoorenbos/generate-spectra/generative/unet.py 9d96d3cfa9795e5c ran MIT (permissive)
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations 2 Mar 2022 cszhilu1998/SelfDZSR/models/refsr_model.py e6fae0db71c78e16 ran fingerprinted licence not identified · pointer only
Ensemble learning priors unfolding for scalable Snapshot Compressive Sensing 25 Jan 2022 integritynoble/ELP-Unfolding/scalable_ELP/scalable.py 10e2724dbc7f6040 ran fingerprinted no licence file found · pointer only
Projected GANs Converge Faster 1 Nov 2021 dome272/ProjectedGAN-pytorch/projected_gan.py 93f4a2947c32908b ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Projected GANs Converge Faster 1 Nov 2021 autonomousvision/projected_gan/pg_modules/discriminator.py be3ac00fad675c3d ran fingerprinted MIT (permissive)
Unsupervised Foreground Extraction via Deep Region Competition 29 Oct 2021 yupeiyu98/deep-region-competition/drc_workspace/src/models.py c4fe341c6592fa40 ran fingerprinted no licence file found · pointer only
Denoising Diffusion Probabilistic Models 19 Jun 2020 explainingai-code/DDPM-Pytorch/models/unet_base.py 8e8bd48da2e29cc1 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 EvaBr/AnatomyNets/Networks.py daab364195ff1a37 ran fingerprinted GPL-3.0 (copyleft) · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 galprz/brain-tumor-segmentation/src/models.py 8979b2f7e517c540 ran fingerprinted no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 johschmidt42/pytorch-2d-3d-unet-tutorial/unet.py 9a47421ada52341c ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 labmlai/annotated_deep_learning_paper_implementations/labml_nn/diffusion/ddpm/unet.py 1493c9d35d3f297a unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 westgate458/xb-net/XBNet.py fe1349e6ef3e0b7f unverified no licence file found · pointer only

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