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LinearAttention

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

LinearAttention appears in the code Syntology harvested for 20 papers, as 21 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 16 of the papers; 3 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 LinearAttention 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 21 distinct code bodies named LinearAttention; 4 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
4unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 5 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

20 papers shown of 20, 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 2 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
Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer added by Syntology 2026-06 (from id) Event-AHU/OpenFusion/PNOT/src/HeatOperator/pnot_heat/model.py 04541b9375b614f4 ran MIT (permissive)
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning added by Syntology 2025-09 (from id) LSY-Cython/iMOOE/models/framework.py db3be4d916ec9724 unverified no licence file found · pointer only
arXiv:2506.05584 2025-06 (from id) microsoft/ticl/ticl/models/tabflex.py 906b8e2e76724a87 ran Apache-2.0 (permissive)
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting 11 Feb 2025 ljc-fvnr/structural-aligned-mixture-of-var/models/AutoregressiveAlignment.py fa3be66911755893 ran · metamorphic tier: invariant fingerprinted MIT (permissive)
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection 23 Jul 2024 VisualAIKHU/MonoWAD/visualDet3D/networks/detectors/MonoWAD.py e483acb4ed97bccf ran · metamorphic tier: invariant fingerprinted MIT (permissive)
Learning Trimodal Relation for AVQA with Missing Modality 23 Jul 2024 VisualAIKHU/Missing-AVQA/net_grd_avst/net_avst.py 49dea4e895a85ad5 ran · metamorphic tier: deterministic MIT (permissive)
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations 6 Jun 2024 jhagnberger/vcnef/vcnef/vcnef_1d.py ccb3e8eb10824cdd unverified MIT (permissive)
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability 27 May 2024 opendrivelab/vista/vwm/models/diffusion.py b7508055b9e0c4d0 ran · metamorphic tier: invariant Apache-2.0 (permissive)
Demystify Mamba in Vision: A Linear Attention Perspective 26 May 2024 LeapLabTHU/MLLA/models/mlla.py 145a5aeec8a513b8 ran · metamorphic tier: deterministic MIT (permissive)
Towards Realistic Scene Generation with LiDAR Diffusion Models 31 Mar 2024 hancyran/lidar-diffusion/lidm/modules/diffusion/model_lidm.py 65eaa953ffaffaad ran MIT (permissive)
G3DR: Generative 3D Reconstruction in ImageNet 1 Mar 2024 preddy5/G3DR/src/unet.py 55b2c2cf73849d61 ran · metamorphic tier: deterministic no licence file found · pointer only
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption 7 Sep 2023 sjtuplayer/few-shot-diffusion/model/big_unet.py c71125f439d1d5ea ran · metamorphic tier: deterministic no licence file found · pointer only
Tangent Transformers for Composition, Privacy and Removal 16 Jul 2023 tianyu139/tangent-model-composition/models/linear_attention_layers.py 7e5129a3c76b00c8 ran MIT (permissive)
Scalable Adaptive Computation for Iterative Generation 22 Dec 2022 lucidrains/recurrent-interface-network-pytorch/rin_pytorch/rin_pytorch.py f8753f538bdf8090 ran MIT (permissive)
Transformer Meets Boundary Value Inverse Problems 29 Sep 2022 scaomath/eit-transformer/libs/hut.py 083b5d5af368508a unverified MIT (permissive)
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation 22 Mar 2022 ibaiGorordo/CREStereo-Pytorch/nets/crestereo.py 3afd7dc763d222f2 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
LoFTR: Detector-Free Local Feature Matching with Transformers 1 Apr 2021 kolkir/coarse_loftr_trt/loftr/loftr.py 48e8896da53462be ran Apache-2.0 (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 yiyixuxu/denoising-diffusion-flax/denoising_diffusion_flax/unet.py 48203972e3caa111 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 cjfghk5697/Pytorch-Research-Paper-Implementations/Diffusion/DDPM/models/model.py e66e5ee5660ade9e ran MIT (permissive)
Relational Graph Attention Network for Aspect-based Sentiment Analysis 26 Apr 2020 shenwzh3/RGAT-ABSA/model.py 76ab310ac3cbd178 unverified MIT (permissive)
arXiv:ijcai2025_0890 Auguuust/DiffEC/Diffusion_based/DiffusionModels/noisePredictModels/Unet/_1DUNet.py 2f2928c1feb64d12 ran · metamorphic tier: invariant no licence file found · pointer only

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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