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execute_cmdline

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

execute_cmdline appears in the code Syntology harvested for 9 papers, as 10 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 0 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 execute_cmdline 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 0 of the 10 distinct code bodies named execute_cmdline; 10 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
0ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 12 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

9 papers shown of 9, newest first; 12 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. 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
Compositional Transformers for Scene Generation 17 Nov 2021 dorarad/gansformer/dataset_tool.py 9d61e7ebbc0dbe54 unverified MIT (permissive)
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images 20 Jul 2021 sh4174/3DStyleGAN/dataset_tool.py c8bedf5fbf444e07 unverified no licence file found · pointer only
Where and What? Examining Interpretable Disentangled Representations 7 Apr 2021 zhuxinqimac/PS-SC/dataset_tool.py dea74cd7a714496f unverified Apache-2.0 (permissive)
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning 24 Apr 2020 microsoft/DiscoFaceGAN/dataset_tool.py 31857d2f579c1600 unverified MIT (permissive)
In-Domain GAN Inversion for Real Image Editing 31 Mar 2020 genforce/idinvert/dataset_tool.py 31857d2f579c1600 unverified MIT (permissive)
Analyzing and Improving the Image Quality of StyleGAN 3 Dec 2019 Uemuet/-gan/dataset_tool.py 31857d2f579c1600 unverified licence not identified · pointer only
Analyzing and Improving the Image Quality of StyleGAN 3 Dec 2019 Ajasra/TattooStyleGAN2/dataset_tool.py 56dc57ef0acb82be unverified licence not identified · pointer only
Analyzing and Improving the Image Quality of StyleGAN 3 Dec 2019 xx88xx/stylegan2ky/dataset_tool.py 44593202a560da74 unverified licence not identified · pointer only
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models 9 Sep 2019 DingfanChen/GAN-Leaks/gan_models/pggan/dataset_tool.py 81f0ed5010201398 unverified MIT (permissive)
Pioneer Networks: Progressively Growing Generative Autoencoder 9 Jul 2018 AaltoVision/pioneer/h5tool.py 654d2fb3ebbbdba1 unverified MIT (permissive)
Progressive Growing of GANs for Improved Quality, Stability, and Variation 27 Oct 2017 wanderine/ProgressiveGAN3D/dataset_tool.py 71657f89e9bf3330 unverified licence not identified · pointer only
Progressive Growing of GANs for Improved Quality, Stability, and Variation 27 Oct 2017 NikhitaMethwani/Deep-Fakes-Cars-Generation/dataset_tool.py 873eadba807c64d8 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