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ablation_sampler

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

ablation_sampler appears in the code Syntology harvested for 17 papers, as 4 distinct code bodies found in 18 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 ablation_sampler 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 4 distinct code bodies named ablation_sampler; 4 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
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 18 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

17 papers shown of 17, newest first; 18 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 1 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
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models added by Syntology 2025-12 (from id) NVlabs/edm/generate.py 9fbf646e18eed1db unverified no licence file found · pointer only
Memorization and Regularization in Generative Diffusion Models 27 Jan 2025 baptistar/DiffusionModelDynamics/RectangleImages/generate.py 9fbf646e18eed1db unverified MIT (permissive)
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models 9 Dec 2024 reds-lab/restricted_gradient_diversity_unlearning/CIFAR/generate.py 9fbf646e18eed1db unverified no licence file found · pointer only
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure 31 Oct 2024 Morefre/Understanding-Generalizability-of-Diffusion-Models-Requires-Rethinking-the-Hidden-Gaussian-Structure/generate.py 9fbf646e18eed1db unverified no licence file found · pointer only
Training Unbiased Diffusion Models From Biased Dataset 2 Mar 2024 alsdudrla10/TIW-DSM/generate.py 9fbf646e18eed1db unverified no licence file found · pointer only
Label-Noise Robust Diffusion Models 27 Feb 2024 identical code first harvested elsewhere 9fbf646e18eed1db unverified licence of this copy not recorded
A Good Score Does not Lead to A Good Generative Model 10 Jan 2024 sixuli/ddpm_and_kde/src/DiffMemorize/generate_optim.py 9fbf646e18eed1db unverified no licence file found · pointer only
Observation-Guided Diffusion Probabilistic Models 6 Oct 2023 junoh-kang/ogdm_edm/generate.py 9fbf646e18eed1db unverified no licence file found · pointer only
On Memorization in Diffusion Models 4 Oct 2023 sail-sg/DiffMemorize/generate_edm.py 9fbf646e18eed1db unverified MIT (permissive)
Mirror Diffusion Models for Constrained and Watermarked Generation 2 Oct 2023 ghliu/mdm/generate_watermark.py 9fbf646e18eed1db unverified Apache-2.0 (permissive)
Fast Training of Diffusion Models with Masked Transformers 15 Jun 2023 anima-lab/maskdit/sample.py 2e3cfe60a4a3fff3 unverified MIT (permissive)
A Recipe for Watermarking Diffusion Models 17 Mar 2023 yunqing-me/watermarkdm/edm/generate.py 9fbf646e18eed1db unverified MIT (permissive)
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models 8 Feb 2023 identical code first harvested elsewhere daa5186ef7b993ca unverified licence of this copy not recorded
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models 1 Feb 2023 newbeeer/stf/generate.py daa5186ef7b993ca unverified no licence file found · pointer only
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models 26 Jan 2023 1zb/3dshape2vecset/models_class_cond.py b74f496f9e2a413c unverified MIT (permissive)
Classifier-Free Diffusion Guidance 26 Jul 2022 identical code first harvested elsewhere 9fbf646e18eed1db unverified licence of this copy not recorded
Elucidating the Design Space of Diffusion-Based Generative Models 1 Jun 2022 identical code first harvested elsewhere daa5186ef7b993ca unverified licence of this copy not recorded
Elucidating the Design Space of Diffusion-Based Generative Models 1 Jun 2022 identical code first harvested elsewhere 9fbf646e18eed1db unverified licence of this copy not recorded

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".

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