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sample_categorical

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

sample_categorical appears in the code Syntology harvested for 20 papers, as 15 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 16 of the papers; 4 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 sample_categorical 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 11 of the 15 distinct code bodies named sample_categorical; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
3ran · fixture could not drive it
4ran
4unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 20 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

20 papers shown of 20, newest first; 20 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 7 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. 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
BOCoDe: Engineering-Centered Benchmarking for Bayesian Optimization added by Syntology 2026-08 (from id) hvarfner/vanilla_bo_in_highdim/BenchSuite/benchsuite/helper.py e4fdb09f2d550022 ran no licence file found · pointer only
BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers added by Syntology 2026-06 (from id) jdeschena/blockgen/samplers.py 42d20a65c4d664db ran no licence file found · pointer only
Language Modeling with Hyperspherical Flows added by Syntology 2026-05 (from id) s-sahoo/duo/trainer_base.py 300194a15680602c ran fingerprinted Apache-2.0 (permissive)
Information-Theoretic Discrete Diffusion added by Syntology 2025-10 (from id) Dongjae0324/infodis/catsample.py 172aa319a831b3ab ran · fixture could not drive it no licence file found · pointer only
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner added by Syntology 2025-10 (from id) zhouc20/CCDD/ccdd/diffusion_process.py 92703dd64782cadd ran · fixture could not drive it fingerprinted MIT (permissive)
Learnable Sampler Distillation for Discrete Diffusion Models added by Syntology 2025-09 (from id) feiyangfu/LSD/sampler.py 72eccb5c284af3e0 ran · our draft was wrong MIT (permissive)
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control added by Syntology 2025-08 (from id) yuchen-zhu-zyc/MDNS/utils.py 399f607de3e3cec3 unverified no licence file found · pointer only
Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture 24 Jun 2025 scxue/ao-gpt-mdm/catsample.py 363f8d07ea5498f8 unverified no licence file found · pointer only
Simple, Good, Fast: Self-Supervised World Models Free of Baggage 3 Jun 2025 jrobine/sgf/src/wm.py a8117d72551969e1 ran · our draft was wrong fingerprinted MIT (permissive)
Generalized Interpolating Discrete Diffusion 6 Mar 2025 dvruette/gidd/gidd/diffusion_process.py d5a6f595215768b4 ran · our draft was wrong MIT (permissive)
Split Gibbs Discrete Diffusion Posterior Sampling 3 Mar 2025 chuwd19/Split-Gibbs-Discrete-Diffusion-Posterior-Sampling/sampling/sgdd.py 172aa319a831b3ab ran · fixture could not drive it no licence file found · pointer only
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data 6 Jun 2024 ml-gsai/radd/catsample.py 172aa319a831b3ab ran · fixture could not drive it Apache-2.0 (permissive)
Amortizing intractable inference in diffusion models for vision, language, and control 31 May 2024 gfnorg/diffusion-finetuning/diffusion_lm/catsample.py 172aa319a831b3ab ran · fixture could not drive it no licence file found · pointer only
On Uncertainty Quantification for Near-Bayes Optimal Algorithms 28 Mar 2024 meta-inf/ipb/classification/utils.py 0061138c1e64bfcc ran GPL-3.0 (copyleft) · pointer only
Unified Discrete Diffusion for Categorical Data 6 Feb 2024 lingxiaoshawn/usd3/discrete_diffusion.py 3b3f251a40b42cb6 ran · fixture could not drive it fingerprinted MIT (permissive)
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution 25 Oct 2023 louaaron/Score-Entropy-Discrete-Diffusion/catsample.py 172aa319a831b3ab ran · fixture could not drive it MIT (permissive)
DiGress: Discrete Denoising diffusion for graph generation 29 Sep 2022 lingxiaoshawn/pard/pard/diffusion.py 9d8f3764aca720ec ran · our draft was wrong MIT (permissive)
A Continuous Time Framework for Discrete Denoising Models 30 May 2022 identical code first harvested elsewhere 3b3f251a40b42cb6 ran · fixture could not drive it fingerprinted licence of this copy not recorded
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders 5 Apr 2017 NoaCahan/WavenetAutoEncoder/generate.py 68ea19d0fbeefdbd unverified no licence file found · pointer only
arXiv:Jiao_Semi-supervised_Semantics-guided_Adversarial_Training_for_Robust_Trajectory_Prediction_ICCV_2023_paper jrcblue/SSAT-for-Motion-Prediction/train_adv_ssat.py e9106556b7b945d8 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