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MNIST

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

MNIST appears in the code Syntology harvested for 12 papers, as 11 distinct code bodies found in 13 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 MNIST 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 11 distinct code bodies named MNIST; 11 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
11unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 13 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

12 papers shown of 12, newest first; 13 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 2 papers added by Syntology. 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
Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics added by Syntology 2026-05 (from id) brain-lab-research/SGDiffusion/src/utils.py 6b3e2abd8b904f36 unverified no licence file found · pointer only
Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes added by Syntology 2025-11 (from id) PatrickZH/DeepCore/deepcore/datasets/mnist.py 386d95ec922f5372 unverified MIT (permissive)
Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection 17 Jun 2025 ZhijingWan/RAM-APL/deepcore/datasets/mnist.py 386d95ec922f5372 unverified MIT (permissive)
Efficient and Robust Quantization-aware Training via Adaptive Coreset Selection 12 Jun 2023 huangowen/qat-acs/deepcore/datasets/mnist.py 386d95ec922f5372 unverified MIT (permissive)
Minimizing Control for Credit Assignment with Strong Feedback 14 Apr 2022 pennfranc/bio-inspired-continual-learning/Continual-Learning-Benchmark/clb_dataloaders/base.py 9a3033fb697cd22a unverified Apache-2.0 (permissive)
WOOD: Wasserstein-based Out-of-Distribution Detection 13 Dec 2021 wyn430/wood/Dataset.py a0cba96655cb0ff3 unverified MIT (permissive)
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix 7 Oct 2020 tldoan/PCA-OGD/dataloaders/base.py 72c9598b309e4e5a unverified MIT (permissive)
Meta-Consolidation for Continual Learning 1 Oct 2020 JosephKJ/merlin/lib/consolidate.py b82ee827d83c2eff unverified no licence file found · pointer only
Proper Network Interpretability Helps Adversarial Robustness in Classification 26 Jun 2020 akhilanb/proper-interpretability/funcs.py ed99dc8820ef0915 unverified MIT (permissive)
Proper Network Interpretability Helps Adversarial Robustness in Classification 26 Jun 2020 AkhilanB/Proper-Interpretability/funcs.py aeb5bbdc2435ad02 unverified MIT (permissive)
Similarity of Neural Networks with Gradients 25 Mar 2020 marcozullich/pruned_layer_similarity/layer_sim/datasets.py 15d4f21d63e777a0 unverified MIT (permissive)
Multi-class Classification without Multi-class Labels 2 Jan 2019 GT-RIPL/L2C/dataloaders/default.py b5ffa7a38f9d609e unverified MIT (permissive)
Auto-Encoding Variational Bayes 20 Dec 2013 shib0li/VAE-PyTorch/models/vae.py 019d56cdaaaaeb51 unverified 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