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skip

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

skip appears in the code Syntology harvested for 14 papers, as 16 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 1 of the code bodies carries 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 skip 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 3 of the 16 distinct code bodies named skip; 13 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
3ran
13unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 17 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

14 papers shown of 14, newest first; 17 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 1 papers added by Syntology; 3 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
Enpowering Your Pansharpening Models with Generalizability: Unified Distribution is All You Need added by Syntology 2025-10 (from id) yc-cui/UniPAN/UniPAN/model/UAPN/network.py 328672fb12a25e0e ran · metamorphic tier: deterministic MIT (permissive)
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding 20 Jul 2024 jtaoz/gkpile-deconvolution/networks/skip.py 7237a78c59f54b81 unverified BSD-2-Clause (permissive)
Robust Classification by Coupling Data Mollification with Label Smoothing 3 Jun 2024 markusheinonen/supervised-mollification/src/data.py 26408fb3c5c566c7 ran fingerprinted no licence file found · pointer only
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution 24 Apr 2024 XYLGroup/DKP/DiffDKP/guided_diffusion/networks.py 1fb5210be0317d62 unverified Apache-2.0 (permissive)
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution 24 Apr 2024 XYLGroup/DKP/DIPDKP/DIPDKP/model/networks.py 934de750b2c90b3e unverified Apache-2.0 (permissive)
What is in Your Safe Data? Identifying Benign Data that Breaks Safety 1 Apr 2024 princeton-nlp/benign-data-breaks-safety/ft_datasets/alpaca_dataset/alpaca_remove_safety.py 84cf7fe41466b4b3 unverified no licence file found · pointer only
What is in Your Safe Data? Identifying Benign Data that Breaks Safety 1 Apr 2024 princeton-nlp/benign-data-breaks-safety/ft_datasets/dolly_dataset/dolly_remove_safety.py a01a8759063203f2 unverified no licence file found · pointer only
Leveraging Code to Improve In-context Learning for Semantic Parsing 16 Nov 2023 allenai/code-semparse/code_semparse/eval/datamodel_helper.py 99e2f8251e3051b3 ran Apache-2.0 (permissive)
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration 12 Mar 2023 miaoyuchun/DDS2M/runners/VS2M.py fcdaabe2ad9315c9 unverified no licence file found · pointer only
3DB: A Framework for Debugging Computer Vision Models 7 Jun 2021 3db/3db/docs_src/conf.py afb840b25d05224f unverified MIT (permissive)
Improving Yorùbá Diacritic Restoration 23 Mar 2020 Niger-Volta-LTI/yoruba-adr/src/aggregate_corpora_make_parallel_text.py c22eacab3a47c841 unverified MIT (permissive)
Improving Yorùbá Diacritic Restoration 23 Mar 2020 Niger-Volta-LTI/yoruba-adr/src/make_parallel_text.py 24eb99bdacdea303 unverified MIT (permissive)
Gauge Equivariant Convolutional Networks and the Icosahedral CNN 11 Feb 2019 JeremyBYU/FastGaussianAccumulator/src_docs/conf.py 80aa537d3f57de1c unverified MIT (permissive)
Deformable Convolutional Networks 17 Mar 2017 metaphorz/deep-image-prior-hqskipnet/models/skip.py 2d0d83b79a1d4a05 unverified licence not identified · pointer only
arXiv:Zang_IntraTomo_Self-Supervised_Learning-Based_Tomography_via_Sinogram_Synthesis_and_Prediction_ICCV_2021_paper matheusgadelha/ShapeRecDeepPrior/models/skip.py c0e07869abc20153 unverified MIT (permissive)
arXiv:Li_Self-Supervised_Blind_Motion_Deblurring_With_Deep_Expectation_Maximization_CVPR_2023_paper Chilie/Deblur_MCEM/networks/skip.py 6695dc305b87d106 unverified Apache-2.0 (permissive)
arXiv:Li_Deep_Random_Projector_Accelerated_Deep_Image_Prior_CVPR_2023_paper sun-umn/Deep-Random-Projector/1_Denoising/models/skip.py c0e07869abc20153 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