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constant

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

constant appears in the code Syntology harvested for 36 papers, as 11 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 31 of the papers; 1 of the code bodies carries 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 constant 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 6 of the 11 distinct code bodies named constant; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
2ran
5unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 18 of the 36 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

36 papers shown of 36, newest first; 36 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 9 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
A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets added by Syntology 2026-08 (from id) xfetus/fetal-ultrasound-edm2/torch_utils/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
Elucidating the SNR-t Bias of Diffusion Probabilistic Models added by Syntology 2026-04 (from id) AMAP-ML/DCW/torch_utils/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior added by Syntology 2026-04 (from id) slimgroup/SAGE/torch_utils/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
xaitimesynth: Evaluating Attribution Methods with Synthetic Ground Truth xaitimesynth: A Python Package for Evaluating Attribution Methods for Time Series with Synthetic Ground Truth added by Syntology 2026-03 (from id) gregorbaer/xaitimesynth/xaitimesynth/components.py 132de940c6367e8c unverified MIT (permissive)
Physics-Informed Diffusion Models in Spectral Space added by Syntology 2026-02 (from id) deeplearningmethods/PISD/torch_utils/misc.py 6d32f9cf6f29b386 ran MIT (permissive)
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models added by Syntology 2025-12 (from id) NVlabs/edm/torch_utils/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
MAD: Manifold Attracted Diffusion added by Syntology 2025-09 (from id) delbraechter/MAD/torch_utils/misc.py 6d32f9cf6f29b386 ran 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/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation added by Syntology 2025-08 (from id) DLR-RM/oc-dit/ocdit/models/ocdit.py 2c37e8b70c375691 ran · our draft was wrong MIT (permissive)
arXiv:2507.10072 2025-07 (from id) kunzhan/wpp/EDM-DWT-MM/torch_utils/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching 17 Jun 2025 inria-thoth/ddm4ip/ddm4ip/networks/unets.py 6d32f9cf6f29b386 ran MIT (permissive)
Unified Continuous Generative Models 12 May 2025 LINs-Lab/UCGM/networks/edm2.py 6d32f9cf6f29b386 ran Apache-2.0 (permissive)
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs 8 Mar 2025 milkthink-lab/routereval/router/MLPR_LinearR/tools.py 2713e130185a23e5 unverified MIT (permissive)
Memorization and Regularization in Generative Diffusion Models 27 Jan 2025 baptistar/DiffusionModelDynamics/RectangleImages/torch_utils/misc.py 6d32f9cf6f29b386 ran MIT (permissive)
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs 12 Dec 2024 yuanzhi-zhu/oftsr/fm/augment.py 6d32f9cf6f29b386 ran Apache-2.0 (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/misc.py 6d32f9cf6f29b386 ran 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/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
DiffusionPDE: Generative PDE-Solving Under Partial Observation 25 Jun 2024 jhhuangchloe/DiffusionPDE/torch_utils/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
DiffuBox: Refining 3D Object Detection with Point Diffusion 25 May 2024 cxy1997/DiffuBox/torch_utils/misc.py 6d32f9cf6f29b386 ran 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/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
Deconstructing Denoising Diffusion Models for Self-Supervised Learning 25 Jan 2024 futurexiang/ddae/model/augment.py 6d32f9cf6f29b386 ran 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/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
String Sound Synthesizer on GPU-accelerated Finite Difference Scheme 2023-11 (from id) jin-woo-lee/torch-fdtd-string/src/utils/control.py 5a5eb58c13df0b83 ran GPL-3.0 (copyleft) · pointer only
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling 10 Oct 2023 JegZheng/LEGODiffusion/torch_utils/misc.py 6d32f9cf6f29b386 ran MIT (permissive)
Observation-Guided Diffusion Probabilistic Models 6 Oct 2023 junoh-kang/ogdm_edm/torch_utils/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
Beta Diffusion 14 Sep 2023 mingyuanzhou/Beta-Diffusion/image_experiment/torch_utils/misc.py 6d32f9cf6f29b386 ran MIT (permissive)
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis 4 Sep 2023 THUDM/RelayDiffusion/torch_utils/misc.py 6d32f9cf6f29b386 ran Apache-2.0 (permissive)
Elucidating the Exposure Bias in Diffusion Models 29 Aug 2023 forever208/edm-es/torch_utils/misc.py 6d32f9cf6f29b386 ran no licence file found · pointer only
Fast Diffusion Model 12 Jun 2023 sail-sg/fdm/torch_utils/misc.py 6d32f9cf6f29b386 ran Apache-2.0 (permissive)
Variational Diffusion Models 1 Jul 2021 revsic/jax-variational-diffwave/vlbdiffwave/impl.py 4f4db12a92cab549 ran · our draft was wrong MIT (permissive)
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy 24 Jun 2021 chr5tphr/zennit/src/zennit/attribution.py 4e5e3092fd005ad9 ran · our draft was wrong LGPL-3.0 (copyleft) · pointer only
Multi-Agent Interactions Modeling with Correlated Policies 4 Jan 2020 apexrl/CoDAIL/multi-agent-irl/irl/mack/kfac_discriminator_codail.py 51b561109c463fd3 ran · honoured contract fingerprinted Apache-2.0 (permissive)
JAX, M.D.: A Framework for Differentiable Physics 9 Dec 2019 google/jax-md/jax_md/interpolate.py 2c76bb3ef11ab9af unverified Apache-2.0 (permissive)
Beyond Human-Level Accuracy: Computational Challenges in Deep Learning 3 Sep 2019 baidu-research/catamount/catamount/api/ops.py 62b570cb7bd5111d unverified Apache-2.0 (permissive)
Programming with a Differentiable Forth Interpreter 21 May 2016 uclmr/d4/d4/intermediate.py 53e66edf0a42913f unverified MIT (permissive)
arXiv:Xia_Rectified_Diffusion_Guidance_for_Conditional_Generation_CVPR_2025_paper thuxmf/recfg/torch_utils/misc.py 6d32f9cf6f29b386 ran 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".

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