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get_window_size

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

get_window_size appears in the code Syntology harvested for 21 papers, as 6 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 20 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_window_size 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 6 distinct code bodies named get_window_size; 1 is 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
5ran · fixture could not drive it
0ran
1unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 21 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; 21 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; 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
On Neural Scaling Laws for Weather Emulation through Continual Training added by Syntology 2026-03 (from id) ShashankSubramanian/neural-scaling-weather/batchsub.py 332910afd9042060 unverified licence not identified · pointer only
Extreme Weather Nowcasting via Local Precipitation Pattern Prediction added by Syntology 2026-02 (from id) identical code first harvested elsewhere aad0ea11cb13d353 ran · fixture could not drive it fingerprinted licence of this copy not recorded
Diffusion Model-Based Data Augmentation for Enhanced Neuron Segmentation added by Syntology 2026-01 (from id) HeadLiuYun/NeuroDiff/segmentation_scripts/model/model_Swin_UNETR.py 34484ba7deb03520 ran · fixture could not drive it no licence file found · pointer only
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models 29 Sep 2024 tdlhl/LoRKD/model/SwinUNETR.py 168646537c6adfff ran · fixture could not drive it Apache-2.0 (permissive)
AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking 23 Jul 2024 mrgiovanni/abdomenatlas/model/SwinUNETR.py 168646537c6adfff ran · fixture could not drive it no licence file found · pointer only
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography 28 May 2024 ljwztc/clip-driven-universal-model/model/SwinUNETR.py 168646537c6adfff ran · fixture could not drive it no licence file found · pointer only
Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction 24 May 2024 openearthlab/orca/model/utils.py aad0ea11cb13d353 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer 21 Apr 2024 kepengxu/PGTFormer/modules/swin.py aad0ea11cb13d353 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation 18 Mar 2024 buxiangzhiren/vd-it/models/itcross_video_swin_transformer.py aad0ea11cb13d353 ran · fixture could not drive it fingerprinted no licence file found · pointer only
From Pixel to Cancer: Cellular Automata in Computed Tomography 11 Mar 2024 mrgiovanni/pixel2cancer/networks/swin_transformer_3d.py aad0ea11cb13d353 ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
SwiFT: Swin 4D fMRI Transformer 12 Jul 2023 transconnectome/swift/project/module/models/swin4d_transformer_ver7.py 34484ba7deb03520 ran · fixture could not drive it Apache-2.0 (permissive)
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model 31 May 2023 shaoyanpan/Synthetic-CT-generation-from-MRI-using-3D-transformer-based-denoising-diffusion-model/network/SwinUnetr.py 34484ba7deb03520 ran · fixture could not drive it MIT (permissive)
Exploring Deep Models for Practical Gait Recognition 6 Mar 2023 shiqiyu/opengait/opengait/modeling/models/swingait.py aad0ea11cb13d353 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting 16 Dec 2022 hakamshams/loan/models/SwinTransformer3D.py aad0ea11cb13d353 ran · fixture could not drive it fingerprinted MIT (permissive)
MONAI: An open-source framework for deep learning in healthcare 4 Nov 2022 yaziciz/GLIMS/GLIMS.py 34484ba7deb03520 ran · fixture could not drive it MIT (permissive)
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution 27 Mar 2022 llmpass/RSTT/models/RSTT.py d306f10d62b6ae0c ran · fixture could not drive it no licence file found · pointer only
End-to-End Referring Video Object Segmentation with Multimodal Transformers 29 Nov 2021 mttr2021/MTTR/models/swin_transformer.py aad0ea11cb13d353 ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Video Swin Transformer 24 Jun 2021 SwinTransformer/Video-Swin-Transformer/mmaction/models/backbones/swin_transformer.py aad0ea11cb13d353 ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 25 Mar 2021 innat/VideoSwin/videoswin/blocks/swin_transformer.py 6bd3417ea0844450 ran · fixture could not drive it Apache-2.0 (permissive)
arXiv:aaai_28536 HaoZhang1018/RMR-Fusion/models/dualSwinAE.py 34484ba7deb03520 ran · fixture could not drive it MIT (permissive)
arXiv:Wang_BEVT_BERT_Pretraining_of_Video_Transformers_CVPR_2022_paper xyzforever/BEVT/mmaction/models/backbones/swin_transformer_bevt.py aad0ea11cb13d353 ran · fixture could not drive it fingerprinted 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".

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