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DiffusionEmbedding

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

DiffusionEmbedding appears in the code Syntology harvested for 6 papers, as 9 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 5 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 DiffusionEmbedding 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 9 distinct code bodies named DiffusionEmbedding; 1 is 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
8ran
1unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 9 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

6 papers shown of 6, newest first; 9 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
Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance 11 Nov 2023 kaen2891/adversarial_fine-tuning_using_generated_respiratory_sound/Diffwave/model.py 7173ee08aff4e2ba ran no licence file found · pointer only
Toward Reliable Human Pose Forecasting with Uncertainty 13 Apr 2023 vita-epfl/unposed/models/deposit/deposit.py 34d7372e72da5c14 ran fingerprinted AGPL-3.0 (copyleft) · pointer only
Diffusion models for missing value imputation in tabular data 31 Oct 2022 pfnet-research/CSDI_T/src/main_model_table.py 02d307cedb8057f0 ran fingerprinted MIT (permissive)
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates 17 Jun 2022 mindslab-ai/nuwave2/model.py daa1ce0045d6e8f9 ran · metamorphic tier: deterministic fingerprinted BSD-3-Clause (permissive)
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates 17 Jun 2022 maum-ai/nuwave/model.py 2c33ff18a8323072 ran · metamorphic tier: invariant fingerprinted BSD-3-Clause (permissive)
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates 17 Jun 2022 rishikksh20/NU-Wave2-pytorch/model.py 816f7b789ef8c328 unverified MIT (permissive)
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation 7 Jul 2021 adrianatienza1996/DiffusionModels/CSDI/model.py e810d3ec37cb56b4 ran MIT (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 neillu23/cdiffuse/src/cdiffuse/model.py 4774d75a47fa7f01 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 keonlee9420/DiffGAN-TTS/model/diffusion.py 2bbf0db2a024a96d ran · metamorphic tier: deterministic fingerprinted 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