Home › Code › is_persistent

is_persistent

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

is_persistent appears in the code Syntology harvested for 21 papers, as 1 distinct code body found in 21 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 is_persistent 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 1 distinct code body named is_persistent; 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
0ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 21 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

21 papers shown of 21, newest first; 21 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; 2 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
Elucidating the SNR-t Bias of Diffusion Probabilistic Models added by Syntology 2026-04 (from id) AMAP-ML/DCW/torch_utils/persistence.py e8b31ffccfa05efc unverified licence not identified · pointer only
SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior added by Syntology 2026-04 (from id) slimgroup/SAGE/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
Physics-Informed Diffusion Models in Spectral Space added by Syntology 2026-02 (from id) deeplearningmethods/PISD/torch_utils/persistence.py e8b31ffccfa05efc unverified MIT (permissive)
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models added by Syntology 2025-12 (from id) NVlabs/edm/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
MAD: Manifold Attracted Diffusion added by Syntology 2025-09 (from id) delbraechter/MAD/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
Local Mechanisms of Compositional Generalization in Conditional Diffusion added by Syntology 2025-09 (from id) NVlabs/edm2/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
arXiv:2507.10072 2025-07 (from id) kunzhan/wpp/EDM-DWT-MM/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
Memorization and Regularization in Generative Diffusion Models 27 Jan 2025 baptistar/DiffusionModelDynamics/RectangleImages/torch_utils/persistence.py e8b31ffccfa05efc unverified MIT (permissive)
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/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
PAPM: A Physics-aware Proxy Model for Process Systems 7 Jul 2024 pengwei07/PAPM/papm/model/pdecno/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
DiffusionPDE: Generative PDE-Solving Under Partial Observation 25 Jun 2024 jhhuangchloe/DiffusionPDE/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
DiffuBox: Refining 3D Object Detection with Point Diffusion 25 May 2024 cxy1997/DiffuBox/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model 26 Mar 2024 dongrunmin/RefDiff/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
A Good Score Does not Lead to A Good Generative Model 10 Jan 2024 sixuli/ddpm_and_kde/src/DiffMemorize/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling 10 Oct 2023 JegZheng/LEGODiffusion/torch_utils/persistence.py e8b31ffccfa05efc unverified MIT (permissive)
Observation-Guided Diffusion Probabilistic Models 6 Oct 2023 junoh-kang/ogdm_edm/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
Beta Diffusion 14 Sep 2023 mingyuanzhou/Beta-Diffusion/image_experiment/torch_utils/persistence.py e8b31ffccfa05efc unverified MIT (permissive)
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis 4 Sep 2023 THUDM/RelayDiffusion/torch_utils/persistence.py e8b31ffccfa05efc unverified Apache-2.0 (permissive)
Elucidating the Exposure Bias in Diffusion Models 29 Aug 2023 forever208/edm-es/torch_utils/persistence.py e8b31ffccfa05efc unverified no licence file found · pointer only
Fast Diffusion Model 12 Jun 2023 sail-sg/fdm/torch_utils/persistence.py e8b31ffccfa05efc unverified Apache-2.0 (permissive)
arXiv:Xia_Rectified_Diffusion_Guidance_for_Conditional_Generation_CVPR_2025_paper thuxmf/recfg/torch_utils/persistence.py e8b31ffccfa05efc 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