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get_noise

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

get_noise appears in the code Syntology harvested for 29 papers, as 22 distinct code bodies found in 30 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 3 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 get_noise 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 9 of the 22 distinct code bodies named get_noise; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
2ran · fixture could not drive it
2ran
13unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 30 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

29 papers shown of 29, newest first; 30 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 6 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
BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers added by Syntology 2026-06 (from id) jdeschena/blockgen/noise_schedules.py 6214e0180e3a7ed6 ran no licence file found · pointer only
ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment added by Syntology 2026-05 (from id) black-forest-labs/flux/src/flux/sampling.py 1e742c4d4e7504cf ran Apache-2.0 (permissive)
Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model added by Syntology 2026-01 (from id) ChenyuWang-Monica/DRAKES/drakes_dna/noise_schedule.py fe6314378d2def00 unverified no licence file found · pointer only
A theory of diversity for random matrices with applications to in-context learning of Schrödinger equations added by Syntology 2026-01 (from id) LuGroupUMN/Diversity-of-random-matrices/utils/data_utils.py 380550f0ab9b01ef unverified no licence file found · pointer only
Information-Theoretic Discrete Diffusion added by Syntology 2025-10 (from id) Dongjae0324/infodis/noise_lib.py c7a7325b30d3491b unverified no licence file found · pointer only
Diffusion Alignment as Variational Expectation-Maximization added by Syntology 2025-10 (from id) Jaewoopudding/dav/discrete-sequence/noise_schedule.py fe6314378d2def00 unverified MIT (permissive)
arXiv:2507.18192 2025-07 (from id) AIDC-AI/TeEFusion/utils.py c3ea67e2a4e3471e unverified licence not identified · pointer only
Partition Generative Modeling: Masked Modeling Without Masks 24 May 2025 kuleshov-group/mdlm/noise_schedule.py fe6314378d2def00 unverified Apache-2.0 (permissive)
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation 2 Apr 2025 bytedance/UNO/uno/flux/pipeline.py f6d9d4596b3ebd28 unverified Apache-2.0 (permissive)
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models 12 Mar 2025 kuleshov-group/bd3lms/noise_schedule.py e1fdbc4d0bebba92 unverified Apache-2.0 (permissive)
Remasking Discrete Diffusion Models with Inference-Time Scaling 1 Mar 2025 kuleshov-group/remdm/diffusion.py 2174721db8d9cdb6 ran · our draft was wrong Apache-2.0 (permissive)
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation 18 Feb 2025 AIDC-AI/CHATS/pipelines/pipeline_sd15.py b88196ca26eed2e5 unverified Apache-2.0 (permissive)
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods 3 Feb 2025 ozekri/SEPO/GRPO_MDLM_DNA/noise_schedule.py fe6314378d2def00 unverified MIT (permissive)
Simple Guidance Mechanisms for Discrete Diffusion Models 13 Dec 2024 kuleshov-group/discrete-diffusion-guidance/noise_schedule.py 63ffe982a59e3d2c unverified Apache-2.0 (permissive)
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design 17 Oct 2024 chenyuwang-monica/drakes/drakes_dna/noise_schedule.py fe6314378d2def00 unverified no licence file found · pointer only
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data 6 Jun 2024 ml-gsai/radd/noise_lib.py c7a7325b30d3491b unverified Apache-2.0 (permissive)
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models 27 May 2024 sun-umn/dmplug/sr_inp_nonlinear.py 6eb7012cf0ec3021 unverified no licence file found · pointer only
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution 25 Oct 2023 louaaron/Score-Entropy-Discrete-Diffusion/noise_lib.py c7a7325b30d3491b unverified MIT (permissive)
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust 31 May 2023 YuxinWenRick/tree-ring-watermark/src/tree_ring_watermark/_get_noise.py 648e9cd35d6b74d0 unverified MIT (permissive)
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech 30 Dec 2022 majidAdibian77/ResGrad/resgrad/model/diffusion.py 9211d7c738c4dfe9 unverified MIT (permissive)
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights 21 Jul 2022 identical code first harvested elsewhere cc7ee43eadf25dac ran · fixture could not drive it licence of this copy not recorded
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective 29 Nov 2021 vita-epfl/causalmotion/spurious/models.py cc7ee43eadf25dac ran · fixture could not drive it MIT (permissive)
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction 18 May 2020 Majiker/STAR/src/star.py bf98ee08b0615ac8 unverified MIT (permissive)
Robust and interpretable blind image denoising via bias-free convolutional neural networks 13 Jun 2019 LabForComputationalVision/bias_free_denoising/utils/noise_model.py 6f7ba2d60b362341 unverified MIT (permissive)
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders 12 Jun 2019 fabiankaechele/samplingfromautoencoders/scripts/AE.py 30a4d49c13fa25c4 ran · honoured contract fingerprinted MIT (permissive)
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints 5 Jun 2018 coolsunxu/sophie/models.py f408d02b2624ecdf ran · our draft was wrong no licence file found · pointer only
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks 29 Mar 2018 rohanchandra30/TrackNPred/model/Prediction/sgan/models.py cc7ee43eadf25dac ran · fixture could not drive it no licence file found · pointer only
Recurrent Highway Networks 12 Jul 2016 jzilly/RecurrentHighwayNetworks/rhn_train.py 707c42ff0294c173 ran · fixture could not drive it MIT (permissive)
Generative Adversarial Networks 10 Jun 2014 huyz1117/GAN-TensorFlow/vanilla_GAN.py a67d76552a210731 ran · honoured contract fingerprinted no licence file found · pointer only
Generative Adversarial Networks 10 Jun 2014 bourcierj/rdfia-tme10-gan/train_dcgan_celeba32.py 8c28a39ce1ec7f9a ran · honoured contract fingerprinted 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".

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