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export

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

export appears in the code Syntology harvested for 10 papers, as 4 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 8 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 export 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 2 of the 4 distinct code bodies named export; 2 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
2ran
2unverified
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
TerDiT: Ternary Diffusion Models with Transformers 23 May 2024 Lucky-Lance/TerDiT/models.py 84d035114dad12a2 ran MIT (permissive)
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction 1 Aug 2023 woriazzc/robust-pu/helpers.py 2660b9d52e1de712 ran no licence file found · pointer only
Any-dimensional equivariant neural networks 10 Jun 2023 mateodd25/free-nets/emlp/utils.py 2660b9d52e1de712 ran MIT (permissive)
GC-Flow: A Graph-Based Flow Network for Effective Clustering 26 May 2023 xztcwang/GCFlow/flow_ssl/utils.py 2660b9d52e1de712 ran Apache-2.0 (permissive)
Dimensionless machine learning: Imposing exact units equivariance 2 Apr 2022 weichiyao/scalaremlp/scalaremlp/utils.py 2660b9d52e1de712 ran MIT (permissive)
Scalars are universal: Equivariant machine learning, structured like classical physics 11 Jun 2021 researchworking/scalaremlp/scalaremlp/utils.py 2660b9d52e1de712 ran MIT (permissive)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups 19 Apr 2021 mfinzi/equivariant-MLP/emlp/utils.py 2660b9d52e1de712 ran MIT (permissive)
Label Propagation for Deep Semi-supervised Learning 9 Apr 2019 ahmetius/LP-DeepSSL/mean_teacher/utils.py 2660b9d52e1de712 ran MIT (permissive)
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours 5 Apr 2019 dstamoulis/single-path-nas/nas-search/search_main.py e75aa2c199a09405 unverified Apache-2.0 (permissive)
Symbolic Execution for Deep Neural Networks 2018-07 (from id) Koukyosyumei/Gymbo/src/gymbo/export.py 745a93abf29fa660 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