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crop_resize

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

crop_resize appears in the code Syntology harvested for 16 papers, as 4 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 1 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 crop_resize 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 1 of the 4 distinct code bodies named crop_resize; 3 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
1ran · fixture could not drive it
0ran
3unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 16 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

16 papers shown of 16, newest first; 16 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 1 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
When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models added by Syntology 2026-01 (from id) rarazafin/score_diffusion_ensemble/score_based_cifar10/datasets.py fd14d238ccd5f679 unverified no licence file found · pointer only
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems 15 Jul 2024 hj-harry/ddip3d/datasets.py 8279187d1539ad53 unverified no licence file found · pointer only
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency 2 Jul 2024 yangling0818/consistency_flow_matching/datasets.py fd14d238ccd5f679 unverified MIT (permissive)
Bellman Optimal Stepsize Straightening of Flow-Matching Models 27 Dec 2023 nguyenngocbaocmt02/boss/ImageGeneration/datasets.py fd14d238ccd5f679 unverified no licence file found · pointer only
Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior 5 Sep 2023 berthyf96/score_prior/score_flow/datasets.py fd14d238ccd5f679 unverified no licence file found · pointer only
Spontaneous Symmetry Breaking in Generative Diffusion Models 31 May 2023 gabrielraya/symmetry_breaking_diffusion_models/datasets.py fd14d238ccd5f679 unverified MIT (permissive)
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces 18 May 2023 lanl/blackout-diffusion/datasets.py fd14d238ccd5f679 unverified BSD-3-Clause (permissive)
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation 9 Oct 2022 sony/fp-diffusion/datasets.py fd14d238ccd5f679 unverified Apache-2.0 (permissive)
gDDIM: Generalized denoising diffusion implicit models 11 Jun 2022 qsh-zh/gDDIM/blur_jax/datasets.py fd14d238ccd5f679 unverified Apache-2.0 (permissive)
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models 27 May 2022 byeonghu-na/INDM/datasets.py fd14d238ccd5f679 unverified Apache-2.0 (permissive)
Subspace Diffusion Generative Models 3 May 2022 bjing2016/subspace-diffusion/datasets.py fd14d238ccd5f679 unverified Apache-2.0 (permissive)
Score-based diffusion models for accelerated MRI 8 Oct 2021 HJ-harry/score-MRI/datasets.py fd14d238ccd5f679 unverified Apache-2.0 (permissive)
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation 10 Jun 2021 Kim-Dongjun/Soft-Truncation/datasets.py fd14d238ccd5f679 unverified Apache-2.0 (permissive)
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features 13 May 2019 toshi-k/kaggle-bengaliai-handwritten-grapheme-classification/source/02_nn_solution/debug_dataset.py 7406ca7275b897ae ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
arXiv:Lin_HiPose_Hierarchical_Binary_Surface_Encoding_and_Correspondence_Pruning_for_RGB-D_CVPR_2024_paper lyltc1/HiPose/hipose/bop_dataset_3d.py 758f75d8fce9a2cd unverified MIT (permissive)
arXiv:Chung_Solving_3D_Inverse_Problems_Using_Pre-Trained_2D_Diffusion_Models_CVPR_2023_paper HJ-harry/DiffusionMBIR/datasets.py 8279187d1539ad53 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