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check_args

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

check_args appears in the code Syntology harvested for 16 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 7 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 check_args 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 8 of the 18 distinct code bodies named check_args; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
4ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
1ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 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

16 papers shown of 16, 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. 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
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making 31 May 2024 vaseline555/AAggFF/src/utils.py 43cca8168ffe729a ran MIT (permissive)
Diffusion for World Modeling: Visual Details Matter in Atari 20 May 2024 eloialonso/diamond/src/play.py 204c0d753710de95 ran · violated contract MIT (permissive)
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI 25 Oct 2023 data-provenance-initiative/data-provenance-collection/src/download_and_filter.py 58ed8b203a017731 unverified Apache-2.0 (permissive)
Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution 3 Aug 2023 jinyeying/nighttime_dehaze/main_test.py 0d652e0f4dcb88ac unverified no licence file found · pointer only
Test of Time: Instilling Video-Language Models with a Sense of Time 5 Jan 2023 bpiyush/TestOfTime/postpretrain.py f2d84c0542d17a04 unverified MIT (permissive)
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization 31 Oct 2022 ShawnLixx/time-scale_adaptive_minimax/wgan-gp/utils/config.py 26407b790821b879 unverified MIT (permissive)
Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal 6 Oct 2022 jinyeying/fogremoval/main_test.py c9908adcc1cf334a unverified no licence file found · pointer only
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models 1 Mar 2020 xiaozhanguva/Intrinsic-Rob/build_generator_mnist.py b78ee352c8735875 unverified MIT (permissive)
Adaptive Federated Optimization 29 Feb 2020 vaseline555/Federated-Learning-in-PyTorch/src/utils.py 26d709a4649d9aea unverified MIT (permissive)
Compositional Generalization in Image Captioning 10 Sep 2019 mitjanikolaus/compositional-image-captioning/plot_recall_results.py 43ab196cba0414cc ran · our draft was wrong licence not identified · pointer only
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating 2019-05 (from id) ssloxford/biometric-backdoors/face/adversarial/atk_face.py 1ad4d307fcb64cd3 ran · violated contract licence not identified · pointer only
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating 2019-05 (from id) ssloxford/biometric-backdoors/face/adversarial/countermeasure.py e67635f123338937 ran · violated contract licence not identified · pointer only
Invariant Representations without Adversarial Training 24 May 2018 dcmoyer/inv-rep/src/adv.py 59018abfb0f04c99 unverified MIT (permissive)
Invariant Representations without Adversarial Training 24 May 2018 dcmoyer/inv-rep/src/run_navib.py f01f20d39b2db43c unverified MIT (permissive)
Neural Autoregressive Flows 3 Apr 2018 RotemMayo/NAF/maf_experiments.py a1027e5a50bc4a17 ran · our draft was wrong no licence file found · pointer only
Unsupervised Image-to-Image Translation Networks 2 Mar 2017 taki0112/UNIT-Tensorflow/main_multi_gpu.py 531b6465788d669b unverified MIT (permissive)
YOLO9000: Better, Faster, Stronger 25 Dec 2016 FMsunyh/keras-yolo2/core/tools/evaluate.py 884ec4546c029f7f ran · violated contract Apache-2.0 (permissive)
Adversarial Autoencoders 18 Nov 2015 hwalsuklee/tensorflow-mnist-AAE/run_main.py c7ed80691a368de3 ran · our draft was wrong 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