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SpatialAttention

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

SpatialAttention appears in the code Syntology harvested for 17 papers, as 17 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 17 of the papers; 9 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 SpatialAttention 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 17 of the 17 distinct code bodies named SpatialAttention; 0 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
17ran
0unverified
9fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 17 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

17 papers shown of 17, newest first; 17 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 5 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
Text2Sign: A Single-GPU Diffusion Baseline for Text-to-Sign Language Video Generation added by Syntology 2026-07 (from id) xiaruize0911/text2sign/pipeline.py def041c465dd155a ran no licence file found · pointer only
Spatiotemporal Imputation with Graph-Informed Flow Matching added by Syntology 2026-06 (from id) zepengzhang/GiFlow/models/FlowMatching.py c1c003bc04896094 ran · metamorphic tier: deterministic no licence file found · pointer only
AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks added by Syntology 2026-06 (from id) Graph-Machine-Learning-Group/grin/lib/nn/layers/spatial_attention.py cbbd08b22a4a403a ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting added by Syntology 2026-03 (from id) nstavr04/MasterThesisSnellius/SmaAT-QMix-UNet/models/SmaAT_UNet_VQ_lightning.py 7af9b82594a1f7c4 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
SegMate: Asymmetric Attention-Based Lightweight Architecture for Efficient Multi-Organ Segmentation added by Syntology 2026-02 (from id) andreibunea99/SegMate/models/segmate_v2.py eeef74e7e0f418ab ran fingerprinted no licence file found · pointer only
arXiv:2506.17457 2025-06 (from id) PKU-XD/EventAD/models/EventAD.py f062899a78236fb9 ran Apache-2.0 (permissive)
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking 6 May 2025 LiShenglana/GDSTrack/lib/model/models/WFCG.py f542dd0aeec7b78e ran fingerprinted GPL-3.0 (copyleft) · pointer only
ControlFusion: A Controllable Image Fusion Framework with Language-Vision Degradation Prompts 30 Mar 2025 Linfeng-Tang/ControlFusion/model/ControlFusion.py 4a9889e4b1b18fc3 ran fingerprinted no licence file found · pointer only
BANet: Bilateral Aggregation Network for Mobile Stereo Matching 5 Mar 2025 gangweix/banet/banet-2d/core/BANet.py 40dda37e454c1200 ran · metamorphic tier: deterministic MIT (permissive)
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer 16 Sep 2023 fudong03/mmst-vit/models_mmst_vit.py da3b4c554c894e11 ran · metamorphic tier: invariant licence not identified · pointer only
Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition 21 Jul 2023 leeisack/Latent-OFER/networks/OURS.py a1215e966402b806 ran MIT (permissive)
The Surprisingly Straightforward Scene Text Removal Method With Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis 14 Oct 2022 naver/garnet/CODE/model.py 0232762ca983a25d ran · metamorphic tier: invariant fingerprinted Apache-2.0 (permissive)
Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention 19 May 2022 WhatAboutMyStar/SCAAE/model.py 26c4eb97deb29053 ran · metamorphic tier: invariant no licence file found · pointer only
Unifying Motion Deblurring and Frame Interpolation with Events 23 Mar 2022 XiangZ-0/EVDI/codes/Networks/EVDI.py efc081449fadb76b ran fingerprinted no licence file found · pointer only
Object Tracking by Jointly Exploiting Frame and Event Domain 19 Sep 2021 Jee-King/ICCV2021_Event_Frame_Tracking/ltr/models/backbone/inter_attention.py e93262cac6f69156 ran fingerprinted MIT (permissive)
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks 31 Jul 2021 Graph-Machine-Learning-Group/grin/lib/nn/models/grin.py e608547e9d7686ef ran no licence file found · pointer only
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? 21 Jun 2021 rish-16/tokenlearner-pytorch/tokenlearner_pytorch/tokenlearner_pytorch.py 292a82cba1f85aa3 ran · metamorphic tier: deterministic fingerprinted 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".

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