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get_data_scaler

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

get_data_scaler appears in the code Syntology harvested for 20 papers, as 2 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 18 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 get_data_scaler 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 2 distinct code bodies named get_data_scaler; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · 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: 5 of the 20 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

20 papers shown of 20, newest first; 20 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 3 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
3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models added by Syntology 2026-03 (from id) SusanneSchaub/TPDM_Implant_Inpainting/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong no licence file found · pointer only
Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model added by Syntology 2026-01 (from id) ml4bio/RiboDiffusion/utils.py f6477cfb5f1e7189 unverified MIT (permissive)
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 346d2e6cc8b48a5d ran · our draft was wrong 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 346d2e6cc8b48a5d ran · our draft was wrong no licence file found · pointer only
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency 2 Jul 2024 yangling0818/consistency_flow_matching/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong MIT (permissive)
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching 29 May 2024 YasminZhang/ICTM/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong MIT (permissive)
RiboDiffusion: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models 17 Apr 2024 ml4bio/ribodiffusion/utils.py f6477cfb5f1e7189 unverified MIT (permissive)
Bellman Optimal Stepsize Straightening of Flow-Matching Models 27 Dec 2023 nguyenngocbaocmt02/boss/ImageGeneration/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong 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 346d2e6cc8b48a5d ran · our draft was wrong no licence file found · pointer only
Spontaneous Symmetry Breaking in Generative Diffusion Models 31 May 2023 gabrielraya/symmetry_breaking_diffusion_models/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong MIT (permissive)
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces 18 May 2023 lanl/blackout-diffusion/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong BSD-3-Clause (permissive)
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting 20 Feb 2023 zhenzhel/lift_map_detect/recon.py 346d2e6cc8b48a5d ran · our draft was wrong Apache-2.0 (permissive)
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation 4 Dec 2022 graph-0/graphgdp/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong MIT (permissive)
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation 9 Oct 2022 sony/fp-diffusion/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong Apache-2.0 (permissive)
gDDIM: Generalized denoising diffusion implicit models 11 Jun 2022 qsh-zh/gDDIM/blur_jax/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong Apache-2.0 (permissive)
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models 27 May 2022 byeonghu-na/INDM/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong Apache-2.0 (permissive)
Subspace Diffusion Generative Models 3 May 2022 bjing2016/subspace-diffusion/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong Apache-2.0 (permissive)
Score-based diffusion models for accelerated MRI 8 Oct 2021 HJ-harry/score-MRI/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong 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 346d2e6cc8b48a5d ran · our draft was wrong Apache-2.0 (permissive)
arXiv:Chung_Solving_3D_Inverse_Problems_Using_Pre-Trained_2D_Diffusion_Models_CVPR_2023_paper HJ-harry/DiffusionMBIR/datasets.py 346d2e6cc8b48a5d ran · our draft was wrong 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