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get_weight

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

get_weight appears in the code Syntology harvested for 21 papers, as 17 distinct code bodies found in 23 places (a place is one code body under one paper). At least one of them ran in 5 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 get_weight 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 5 of the 17 distinct code bodies named get_weight; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
2ran
12unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 23 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; 23 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; 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
HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing added by Syntology 2025-09 (from id) cloor/HazeFlow/models/up_or_down_sampling.py 8db300b9f1afb2d3 unverified MIT (permissive)
Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training 13 Dec 2024 uzn36/dp-syngen/model/up_or_down_sampling.py 8db300b9f1afb2d3 unverified no licence file found · pointer only
FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation 2024-12 (from id) zql-kk/flowpolicy/FlowPolicy/flow_policy_3d/models/up_or_down_sampling.py 8db300b9f1afb2d3 unverified MIT (permissive)
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow 17 Jul 2024 yuanzhi-zhu/SlimFlow/models/up_or_down_sampling.py 8db300b9f1afb2d3 unverified no licence file found · pointer only
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting 29 Mar 2024 htyjers/StrDiffusion/train/discriminator/config/inpainting/models/up_or_down_sampling.py 8db300b9f1afb2d3 unverified Apache-2.0 (permissive)
Class-Imbalanced Graph Learning without Class Rebalancing 27 Aug 2023 zhiningliu1998/bat/baselines/reweight.py 5821da1111d3abeb ran MIT (permissive)
Flow Matching in Latent Space 17 Jul 2023 vinairesearch/lfm/train_flow_latent.py 108b501edfe900a5 ran · honoured contract AGPL-3.0 (copyleft) · pointer only
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection 3 Jun 2023 lygjwy/dos/scores/utils.py b5c11ebfae3c544e unverified MIT (permissive)
Restoration based Generative Models 20 Feb 2023 Jae-Moo/RGM/models/up_or_down_sampling.py 8db300b9f1afb2d3 unverified MIT (permissive)
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts 14 Dec 2022 gaozhitong/mose-auseg/models/MoSE.py 51d24951f7ebb889 ran fingerprinted Apache-2.0 (permissive)
Fast Sampling of Diffusion Models via Operator Learning 24 Nov 2022 devzhk/dsno-pytorch/models/up_or_down_sampling.py 8db300b9f1afb2d3 unverified MIT (permissive)
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions 8 Oct 2021 ispamm/hi2i/core/model.py cf9f3072be35c325 unverified MIT (permissive)
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density 24 Aug 2021 visionlearninggroup/snd/nc_ps/utils/dev.py 290d39bd082c87ea ran · honoured contract MIT (permissive)
Statistical Testing under Distributional Shifts 2021-05 (from id) nikolajthams/testing-under-shifts/experiments/section-5-5/compare-to-ipw.py 8b88f06b682fb454 unverified MIT (permissive)
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization 16 Apr 2021 VITA-Group/BNN_NoBN/layers.py 846a4b93e56bfe0b unverified MIT (permissive)
Neural Architecture Search with Random Labels 28 Jan 2021 megvii-model/RLNAS/nas_bench_201/exps/algos/rlnas_evolution_search_with_angle.py f1b871ab23a3a8c3 ran · our draft was wrong MIT (permissive)
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains 15 Oct 2020 RUC-WSM/WD-Match/src/model.py 971d55d8f7b68385 unverified no licence file found · pointer only
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors 15 Jun 2020 calad0i/HGQ/src/HGQ/proxy/convert.py 9094378ccf4b5d24 unverified Apache-2.0 (permissive)
A Style-Based Generator Architecture for Generative Adversarial Networks 12 Dec 2018 LignumResearch/stylewood-model-usage/training/networks_progan.py 92617215f21b022b unverified licence not identified · pointer only
A Style-Based Generator Architecture for Generative Adversarial Networks 12 Dec 2018 comp-imaging-sci/pic-recon/stylegan2/training/networks_stylegan.py fb9b29923598bc47 unverified MIT (permissive)
A Style-Based Generator Architecture for Generative Adversarial Networks 12 Dec 2018 taki0112/StyleGAN-Tensorflow/ops.py c1859a2f32d50291 unverified MIT (permissive)
EMNIST: an extension of MNIST to handwritten letters 17 Feb 2017 Chizuchizu/amplify-hackathon/src/utils.py 6eee3173de8e2ce0 unverified MIT (permissive)
arXiv:aaai_5584 martinlackner/perpetual/file_loader.py b00d76facb31cfc2 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".

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