Paper Citation Record · LEDGER

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics

As of 9 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2507.02748.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.02748 v1

Coverage vector

measured 67 of 67 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

67 of 67 outbound references displayed

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External citation measurements

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Outbound references

Observation 1f013bcb-5215-4ff6-9c0d-efc1b491732f · outbound

This paper cites Univer- sal physics transformers: A framework for efficiently scaling neural operators.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Univer- sal physics transformers: A framework for efficiently scaling neural operators

Reference 1

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Observation 909c4f27-96da-4c85-bbc2-b02c276f89c7 · outbound

This paper cites Neural machine translation by jointly learning to align and translate.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Neural machine translation by jointly learning to align and translate

Reference 2

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This paper cites Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A

Reference 3

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Observation 53a4381e-1bb5-4eba-ac4d-6d25ad3b1226 · outbound

This paper cites Food-101–mining discriminative components with random forests.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Food-101–mining discriminative components with random forests

Reference 4

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Observation 0a60644d-8585-42fc-a460-1692b5248ca5 · outbound

This paper cites Learning a neural solver for parametric PDEs to en- hance physics-informed methods.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Learning a neural solver for parametric PDEs to en- hance physics-informed methods

Reference 5

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Observation d71d0be6-2212-4a68-859c-cb2415001d0c · outbound

This paper cites Bracewell.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Bracewell

Reference 6

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Observation 26a02c54-056e-413b-b16f-c688ab72e4b4 · outbound

This paper cites Multi-level adaptive solutions to boundary- value problems.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Multi-level adaptive solutions to boundary- value problems

Reference 7

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This paper cites A multigrid tutorial.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics A multigrid tutorial

Reference 8

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Observation f21f28a1-7c21-45d4-aff5-5df244366a83 · outbound

This paper cites Continuum attention for neural oper- ators.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Continuum attention for neural oper- ators

Reference 9

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Observation 7d900541-3414-4e7c-ab6e-cf00149933fb · outbound

This paper cites Choose a transformer: Fourier or galerkin.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Choose a transformer: Fourier or galerkin

Reference 10

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Observation 7cc95c6e-bf02-4d29-ba3f-3dfaeaf754c0 · outbound

This paper cites When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Reference 11

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This paper cites Rethinking Attention with Performers.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Rethinking Attention with Performers

Reference 12

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Unresolved cited work

Reference 13

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This paper cites Courant, K.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Courant, K

Reference 14

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Observation 5fed9c95-08ce-45fc-bcfa-cbc9ba090944 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Imagenet: A large-scale hierarchical image database

Reference 15

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Observation 3b82da32-4d65-4691-9388-21e95502df3d · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 16

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Observation b73a571b-33b7-448a-9dda-3fee68954511 · outbound

This paper cites The emergence of clusters in self-attention dynamics, 2024.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics The emergence of clusters in self-attention dynamics, 2024

Reference 17

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This paper cites A mathematical perspective on transform- ers, 2024.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics A mathematical perspective on transform- ers, 2024

Reference 18

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Observation 8d38a7db-3f16-417f-8351-d839fb4bccaa · outbound

This paper cites A new version of the fast multipole method for the laplace equation in three dimensions.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics A new version of the fast multipole method for the laplace equation in three dimensions

Reference 19

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This paper cites Multiwavelet-based operator learning for differential equations.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Multiwavelet-based operator learning for differential equations

Reference 20

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Multi-grid methods and applications

Reference 21

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This paper cites Deep residual learning for image recognition.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Deep residual learning for image recognition

Reference 22

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This paper cites Fast mul- tipole attention: A divide-and-conquer attention mechanism for long sequences, 2024.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Fast mul- tipole attention: A divide-and-conquer attention mechanism for long sequences, 2024

Reference 23

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This paper cites Physics-informed ma- chine learning.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Physics-informed ma- chine learning

Reference 24

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This paper cites Neural operator: Learning maps between function spaces with applications to pdes.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Neural operator: Learning maps between function spaces with applications to pdes

Reference 25

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics 3d object representations for fine-grained categorization

Reference 26

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This paper cites Characterizing possible failure modes in physics-informed neural networks.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Characterizing possible failure modes in physics-informed neural networks

Reference 27

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Observation 214c85b8-8d17-4816-84a9-6a0d6110e05f · outbound

This paper cites Learning multiple layers of features from tiny images, 2009.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Learning multiple layers of features from tiny images, 2009

Reference 28

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Imagenet classification with deep convolutional neural net- works

Reference 29

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Tiny imagenet visual recognition challenge

Reference 30

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This paper cites Backpropagation applied to handwrit- ten zip code recognition.Neural computation, 1(4):541–551,.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Backpropagation applied to handwrit- ten zip code recognition.Neural computation, 1(4):541–551,

Reference 31

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This paper cites Multipole graph neural operator for parametric partial differential equations.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Multipole graph neural operator for parametric partial differential equations

Reference 32

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This paper cites Fourier neural operator for paramet- ric partial differential equations, 2021.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Fourier neural operator for paramet- ric partial differential equations, 2021

Reference 33

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Observation 564e40d6-86cf-4fdb-a9c1-175b7133e1db · outbound

This paper cites Geometry-informed neural operator for large-scale 3d pdes.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Geometry-informed neural operator for large-scale 3d pdes

Reference 34

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Swin transformer: Hierarchical vision transformer using shifted windows

Reference 35

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Swin transformer v2: Scaling up capacity and resolution

Reference 36

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This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 37

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This paper cites Learning nonlinear operators via deeponet based on the universal approximation theorem of operators.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Learning nonlinear operators via deeponet based on the universal approximation theorem of operators

Reference 38

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Observation aefac98a-cc2b-4ff6-9adb-3af4e603c0f4 · outbound

This paper cites Deepxde: A deep learning library for solving differ- ential equations.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Deepxde: A deep learning library for solving differ- ential equations

Reference 39

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This paper cites Multi-scale physical representations for approxi- mating pde solutions with graph neural operators.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Multi-scale physical representations for approxi- mating pde solutions with graph neural operators

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.924959Z

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Nguyen, Vai Suliafu, Stanley J

Reference 41

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This paper cites Automated flower classification over a large number of classes.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Automated flower classification over a large number of classes

Reference 42

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Unresolved cited work

Reference 43

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Observation 0a5899a8-cbe2-49c2-8fc7-a9196f9ad18c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics DINOv2: Learning Robust Visual Features without Supervision

Reference 44

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Cats and dogs

Reference 45

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Observation 7bb895a1-feda-4bae-9331-2deccc0d2033 · outbound

This paper cites Physics informed deep learning (part i): Data-driven solu- tions of nonlinear partial differential equations, 2017.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Physics informed deep learning (part i): Data-driven solu- tions of nonlinear partial differential equations, 2017

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.849186Z

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Observation ae557643-7b82-453f-b226-80facb28c613 · outbound

This paper cites An operator preconditioning perspective on training in physics-informed machine learning.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics An operator preconditioning perspective on training in physics-informed machine learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.831930Z

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This paper cites Sander, Pierre Ablin, Mathieu Blondel, and Gabriel Peyr ´e.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Sander, Pierre Ablin, Mathieu Blondel, and Gabriel Peyr ´e

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.814193Z

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Observation dde9fcb0-4a48-43cd-a8e2-6a77a8aafd43 · outbound

This paper cites Synthesizer: Rethinking self-attention for transformer models.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Synthesizer: Rethinking self-attention for transformer models

Reference 49

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Observation 0fdfe324-be7f-4480-bc2c-721f174ac707 · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Mlp-mixer: An all-mlp architecture for vision

Reference 50

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Source-reported events for the cited work

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This paper cites Going deeper with im- age transformers.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Going deeper with im- age transformers

Reference 51

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Observation e074d501-3e7b-4ee0-86c8-9cacc838f692 · outbound

This paper cites Deit iii: Revenge of the vit.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Deit iii: Revenge of the vit

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.749779Z

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Observation 870034e2-265a-40af-9f36-65790907e355 · outbound

This paper cites Wavelet neural operator: a neural operator for parametric partial differential equations.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Wavelet neural operator: a neural operator for parametric partial differential equations

Reference 53

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This paper cites Attention is all you need.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Attention is all you need

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.730723Z

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Observation a23fc9e9-3368-4b84-b2da-5b765413a563 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Linformer: Self-Attention with Linear Complexity

Reference 55

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This paper cites CViT: Continuous Vision Transformer for Operator Learning.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics CViT: Continuous Vision Transformer for Operator Learning

Reference 56

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This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.714577Z

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Observation ca6d2d7e-a1c2-47bb-bc8b-cddb0c5f6d74 · outbound

This paper cites Tinyvit: Fast pretraining distillation for small vision transformers.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Tinyvit: Fast pretraining distillation for small vision transformers

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.697098Z

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Observation 5a2dc8b0-8505-4748-94fd-8554087ab6ae · outbound

This paper cites Big bird: Transformers for longer sequences.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Big bird: Transformers for longer sequences

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.679588Z

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Observation f2f7bb42-8794-4776-b3e7-ccebc959ab51 · outbound

This paper cites Multi resolution analysis (mra) for approx- imate self-attention, 2022.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Multi resolution analysis (mra) for approx- imate self-attention, 2022

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.663208Z

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Observation a58cc3ea-7a90-4410-ba5e-691587c6a526 · outbound

This paper cites Erwin: A tree-based hierarchical transformer for large-scale physical systems.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Erwin: A tree-based hierarchical transformer for large-scale physical systems

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.645539Z

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This paper cites H-transformer-1d: Fast one- dimensional hierarchical attention for sequences, 2021.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics H-transformer-1d: Fast one- dimensional hierarchical attention for sequences, 2021

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.627999Z

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Observation c06ca6e0-9ef7-4d29-9137-f5f96a12565c · outbound

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:57.609980Z

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Observation b21a0f03-27d0-4924-8d72-ac81c8c4de45 · outbound

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Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:57.593777Z

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Observation e0fb94f4-37e6-4122-be61-cf53b342000b · outbound

This paper cites These drawbacks have spurred the development of more ef- ficient ViT variants.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics These drawbacks have spurred the development of more ef- ficient ViT variants

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.576585Z

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Observation 794f4aee-1c12-43ba-8949-070c13bd3ed6 · outbound

This paper cites patch merging.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics patch merging

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:57.558429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 226a5fb3-f2e4-4264-9c58-304026ff15f4 · outbound

This paper cites an unresolved cited work.

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:29:57.541423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation dc344dca-f8fa-4401-9051-c3d34b9e9700 · inbound

Higher-Order Fourier Neural Operator: Explicit Mode Mixer for Nonlinear PDEs cites this paper.

Higher-Order Fourier Neural Operator: Explicit Mode Mixer for Nonlinear PDEs Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics

Reference 23

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.