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UpBlock

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

UpBlock appears in the code Syntology harvested for 15 papers, as 17 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 2 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 UpBlock 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 10 of the 17 distinct code bodies named UpBlock; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
9ran
7unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 19 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

15 papers shown of 15, newest first; 19 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; 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
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 56f9d90393e88d53 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 4f4b9acf83d1da3c ran no licence file found · pointer only
-Semantics-Aware Logical Anomaly Detection added by Syntology 2025-09 (from id) MaticFuc/SALAD/ae.py e9961b404f0444f1 unverified MIT (permissive)
PAPM: A Physics-aware Proxy Model for Process Systems 7 Jul 2024 pengwei07/papm/papm/model/pdeunet.py 5f44095c7d71012a ran no licence file found · pointer only
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning 27 May 2024 aailab-kaist/DBAE/ddbm/unet.py 5a2cb2800ec7d0de ran Apache-2.0 (permissive)
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers 3 Jan 2024 EasyRy/CRA-PCN/models/crapcn.py 0d8684e3d516a211 unverified no licence file found · pointer only
arXiv:2310.18894 2023-10 (from id) Crazy-Jack/nips2023_shape_vs_texture/few-shot-img-syn/TopKGen/models.py 5a2cb2800ec7d0de 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 2b5306125b24e7ca ran MIT (permissive)
Transformer for Partial Differential Equations' Operator Learning 26 May 2022 BaratiLab/OFormer/BVP/nn_module/cnn_module.py d2a267488e5f88c6 unverified MIT (permissive)
Ensemble learning priors unfolding for scalable Snapshot Compressive Sensing 25 Jan 2022 integritynoble/ELP-Unfolding/scalable_ELP/scalable.py d9973247d799f7aa ran fingerprinted no licence file found · pointer only
Projected GANs Converge Faster 1 Nov 2021 dome272/ProjectedGAN-pytorch/projected_gan.py 32d6c5741cfd6028 ran · our draft was wrong MIT (permissive)
Unsupervised Foreground Extraction via Deep Region Competition 29 Oct 2021 yupeiyu98/deep-region-competition/drc_workspace/src/models.py e976201ab6c52f60 ran fingerprinted no licence file found · pointer only
Denoising Diffusion Probabilistic Models 19 Jun 2020 explainingai-code/DDPM-Pytorch/models/unet_base.py 044848eaf0604542 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 westgate458/xb-net/XBNet.py 6b4c6ed31fe9bf35 ran no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 EvaBr/AnatomyNets/Networks.py d4334599c31d7c6c ran GPL-3.0 (copyleft) · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 galprz/brain-tumor-segmentation/src/models.py de7fbc68ed8272eb ran no licence file found · pointer only
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 labmlai/annotated_deep_learning_paper_implementations/labml_nn/diffusion/ddpm/unet.py de6ec1e2d99c332f unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 johschmidt42/pytorch-2d-3d-unet-tutorial/unet.py 3db48aa290294f3c unverified MIT (permissive)
arXiv:Ni_CHAIN_Enhancing_Generalization_in_Data-Efficient_GANs_via_lipsCHitz_continuity_constrAIned_CVPR_2024_paper MaxwellYaoNi/CHAIN/FastGANDBig/chain_models.py 5a2cb2800ec7d0de ran 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