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translate_y

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

translate_y appears in the code Syntology harvested for 7 papers, as 10 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 6 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 translate_y 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 10 distinct code bodies named translate_y; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 4 of the 10 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

7 papers shown of 7, newest first; 10 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
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers 7 Oct 2023 hzlsaber/IPMix/cifar.py 0e7f36bd010453cf ran · our draft was wrong MIT (permissive)
MEMO: Test Time Robustness via Adaptation and Augmentation 18 Oct 2021 kowshikthopalli/sista/SISTA_DA/image_target_memo.py 9680c9d24fbc511b ran · our draft was wrong no licence file found · pointer only
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain 19 Aug 2021 iCGY96/APR/datasets/APR.py 9497b9c7bcc19bdf ran · our draft was wrong MIT (permissive)
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration 2 Apr 2021 theot1/dign/DiGN.py 6785662f742188b4 ran · our draft was wrong MIT (permissive)
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization 29 Jun 2020 hendrycks/imagenet-r/deepfashion_remix/augmix.py 49792e8ad13a4ec5 unverified MIT (permissive)
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty 5 Dec 2019 google-research/augmix/augment_and_mix.py dc2fd8747016a32d ran · our draft was wrong Apache-2.0 (permissive)
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty 5 Dec 2019 ma7555/Augz/augmix.py 0fee3238f1e649f7 ran · our draft was wrong no licence file found · pointer only
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty 5 Dec 2019 Kaushal28/Bengali-AI/src/dataset.py 3dde5c70d4513a54 ran · our draft was wrong no licence file found · pointer only
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty 5 Dec 2019 szacho/augmix-tf/augmix/transformations.py abbc3f2f1c397def unverified MIT (permissive)
RandAugment: Practical automated data augmentation with a reduced search space 30 Sep 2019 lyxxn0414/test-data-generation/auto_augment.py bd8449369ce2815d ran fingerprinted 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