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cubic

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

cubic appears in the code Syntology harvested for 19 papers, as 6 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 14 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 cubic 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 4 of the 6 distinct code bodies named cubic; 2 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
4ran
2unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 19 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

19 papers shown of 19, newest first; 19 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 2 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
Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping added by Syntology 2026-05 (from id) Seunghyeok0715/CLAMP/forward_operators.py ee77cd8fde21ffd1 ran fingerprinted MIT (permissive)
Physics-Informed Diffusion Models in Spectral Space added by Syntology 2026-02 (from id) deeplearningmethods/PISD/torch_utils/resizer.py ee77cd8fde21ffd1 ran fingerprinted MIT (permissive)
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration 2 Dec 2024 House-Leo/FoundIR/matlab_functions.py 2a78a7db11a55ede ran fingerprinted MIT (permissive)
ZoomLDM: Latent Diffusion Model for multi-scale image generation 25 Nov 2024 cvlab-stonybrook/ZoomLDM/large_image_gen/resizer.py ee77cd8fde21ffd1 ran fingerprinted MIT (permissive)
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing 7 Oct 2024 TFNTF/PostEdit/forward_operator/resizer.py ee77cd8fde21ffd1 ran fingerprinted no licence file found · pointer only
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal 21 Aug 2024 QMoQ/OAPT/oapt/matlab_functions.py 2a78a7db11a55ede ran fingerprinted no licence file found · pointer only
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing 1 Jul 2024 zhangbingliang2019/DAPS/forward_operator/resizer.py ee77cd8fde21ffd1 ran fingerprinted MIT (permissive)
DiffusionPDE: Generative PDE-Solving Under Partial Observation 25 Jun 2024 jhhuangchloe/DiffusionPDE/torch_utils/resizer.py ee77cd8fde21ffd1 ran fingerprinted no licence file found · pointer only
Correlation Matching Transformation Transformers for UHD Image Restoration 2 Jun 2024 supersupercong/uhdformer/comput_psnr_ssim.py 2a78a7db11a55ede ran fingerprinted no licence file found · pointer only
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model 16 May 2024 yongsongh/irsrmamba/bic_dataset.py 6635958fcc485de3 ran fingerprinted Apache-2.0 (permissive)
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer 7 May 2024 thudm/inf-dit/dit/image_degradation.py cf8b0785f1ca3da5 ran fingerprinted Apache-2.0 (permissive)
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction 25 Mar 2024 x1xu/diffusion-plug-and-play/util/resizer.py ee77cd8fde21ffd1 ran fingerprinted no licence file found · pointer only
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis 30 Sep 2023 merlresearch/SteeredDiffusion/guided_diffusion/guided_diffusion/interp_methods.py 69f91d76e488739d unverified AGPL-3.0 (copyleft) · pointer only
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow 11 Aug 2023 bcmi/DCI-VTON-Virtual-Try-On/ldm/resizer.py ee77cd8fde21ffd1 ran fingerprinted MIT (permissive)
CLIP-Mesh: Generating textured meshes from text using pretrained image-text models 24 Mar 2022 NasirKhalid24/CLIP-Mesh/utils/resize_right.py 69f91d76e488739d unverified MIT (permissive)
Diffusion Models Beat GANs on Image Synthesis 11 May 2021 afiaka87/clip-guided-diffusion/cgd/ResizeRight/interp_methods.py 69f91d76e488739d unverified MIT (permissive)
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks 1 Sep 2018 HyeongJu916/Boaz-SR-ESRGAN-PyTorch/esrgan_pytorch/utils.py cf8b0785f1ca3da5 ran fingerprinted Apache-2.0 (permissive)
Accelerating the Super-Resolution Convolutional Neural Network 1 Aug 2016 Lornatang/FSRCNN-PyTorch/imgproc.py 0d462506dbb0db2d unverified Apache-2.0 (permissive)
Accurate Image Super-Resolution Using Very Deep Convolutional Networks 14 Nov 2015 Lornatang/DRRN-PyTorch/imgproc.py 0d462506dbb0db2d unverified Apache-2.0 (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