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cifar10

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

cifar10 appears in the code Syntology harvested for 10 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 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 cifar10 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 cifar10; 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: 1 of the 10 places is 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

10 papers shown of 10, 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
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows 3 May 2023 duchao0726/conditionial-swf/dataset.py e4d5a86db39f65e7 unverified Apache-2.0 (permissive)
A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications 2 Nov 2022 bilocq/wgan-gp-benchmark/GAN_utils/dataloader.py b9c65b7f758882f5 unverified MIT (permissive)
Topology-aware Generalization of Decentralized SGD 25 Jun 2022 raiden-zhu/generalization-of-dsgd/gpu_work.py 8c708d78a177641d unverified no licence file found · pointer only
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations 13 Jun 2022 neuromorphiccomputationresearchprogram/connectionist-symbolic-pseudo-secrets/dataset.py 41530e724b5de1d6 unverified Apache-2.0 (permissive)
HCSC: Hierarchical Contrastive Selective Coding 1 Feb 2022 hirl-team/hcsc/hcsc/loader.py 361ad75f42c5ed05 unverified MIT (permissive)
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains 27 Jan 2022 Alibaba-AAIG/Beyond-ImageNet-Attack/cifar/model.py e6436dcd699473d2 unverified MIT (permissive)
Zero-Shot Machine Unlearning 14 Jan 2022 ayu987/zero-shot-unlearning/datasets.py 0cd5e4763f6a998c unverified MIT (permissive)
Learning to Generate Noise for Multi-Attack Robustness 22 Jun 2020 divyam3897/MNG_AC/torch_backend.py 976a0e15b0013751 unverified MIT (permissive)
MixTrain: Scalable Training of Verifiably Robust Neural Networks 6 Nov 2018 ARiSE-Lab/DeepInspect/deepinspect/cifar100/model.py d3fc7fab3961070d unverified MIT (permissive)
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention 10 Feb 2015 leob03/Image_captionning/utils/data.py ffff69e68ad972d9 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