Paper Citation Record · LEDGER

How Do Vision Transformers Work?

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2202.06709.

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

pith.paper-citation-record.v1
2202.06709 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:00:16.123817Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

204
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1e2d7390-831f-40a1-a33d-2091a0f01ffd · inbound

D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification cites this paper.

D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification How Do Vision Transformers Work?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T19:00:16.123817Z

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Observation 7650f84e-c0e3-44f3-b0a4-4ba29f4e6669 · inbound

SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery cites this paper.

SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery How Do Vision Transformers Work?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T12:41:01.233642Z

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Observation f48bb99c-1587-4458-8070-ccf9bf6eabf2 · inbound

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation cites this paper.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation How Do Vision Transformers Work?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T10:24:01.262851Z

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Observation 19b47c2d-2810-4f1b-a698-59836a879e85 · inbound

Adaptive High-Pass Kernel Prediction for Efficient Video Deblurring cites this paper.

Adaptive High-Pass Kernel Prediction for Efficient Video Deblurring How Do Vision Transformers Work?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T04:21:34.702751Z

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Observation b2ca3d00-ea22-4df4-ab9f-b0f2c8ec27b2 · inbound

Understanding Transformer-based Vision Models through Inversion cites this paper.

Understanding Transformer-based Vision Models through Inversion How Do Vision Transformers Work?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T19:39:39.182545Z

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Observation 72bb7e87-3ac8-41ff-b091-1070b4e882a2 · inbound

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification cites this paper.

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification How Do Vision Transformers Work?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:42:00.556711Z

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Observation 4a6a50fc-4cfb-4b32-bc6b-ad6063d83578 · inbound

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer cites this paper.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer How Do Vision Transformers Work?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:36.321211Z

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Observation adc93ca0-f0bd-419c-bb9f-691a76683825 · inbound

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction cites this paper.

DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction How Do Vision Transformers Work?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:05.702588Z

Source-reported events for the cited work

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Observation 50ead4e3-8886-4ec9-9447-d9d80d9ae90e · inbound

Bridging the Sim2Real Gap: Vision Encoder Pre-Training for Visuomotor Policy Transfer cites this paper.

Bridging the Sim2Real Gap: Vision Encoder Pre-Training for Visuomotor Policy Transfer How Do Vision Transformers Work?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T14:25:11.982373Z

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Observation 5aa6e507-018f-42ba-b478-ca5a1f3a2ebd · inbound

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion cites this paper.

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion How Do Vision Transformers Work?

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T19:44:20.891764Z

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Observation bda6bfa4-05b9-49aa-ae3c-9d989db58cf9 · inbound

Cross Paradigm Representation and Alignment Transformer for Image Deraining cites this paper.

Cross Paradigm Representation and Alignment Transformer for Image Deraining How Do Vision Transformers Work?

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:01:54.628626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd66d163-2f4f-417e-804b-e63a0360b37e · inbound

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting cites this paper.

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting How Do Vision Transformers Work?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T22:12:12.005496Z

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Observation 544ab5a6-473d-431d-97d0-72d8e1bee1bd · inbound

Insights from Visual Cognition: Understanding Human Action Dynamics with Overall Glance and Refined Gaze Transformer cites this paper.

Insights from Visual Cognition: Understanding Human Action Dynamics with Overall Glance and Refined Gaze Transformer How Do Vision Transformers Work?

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:01.490975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 440e064b-0a4d-49e3-b3f9-30365f4aedd3 · inbound

FreqTrack: Frequency Learning based Vision Transformer for RGB-Event Object Tracking cites this paper.

FreqTrack: Frequency Learning based Vision Transformer for RGB-Event Object Tracking How Do Vision Transformers Work?

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:05:22.452546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4692f353-432d-49d6-9805-1adb7080aac9 · inbound

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems cites this paper.

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems How Do Vision Transformers Work?

Reference 112

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T19:56:16.519623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 220c00fd-10c2-4456-9652-d5b28448e968 · inbound

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting cites this paper.

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting How Do Vision Transformers Work?

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:21:26.219648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 299616c6-00ad-440c-9001-f93df9d438dd · inbound

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting cites this paper.

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting How Do Vision Transformers Work?

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:22:59.182144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09948d8c-3c39-45c1-bc5c-3fc16827ce0a · inbound

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging cites this paper.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging How Do Vision Transformers Work?

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.200349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27a182b0-741e-4648-8420-d61fea2a778e · inbound

Elastic Attention Cores for Scalable Vision Transformers cites this paper.

Elastic Attention Cores for Scalable Vision Transformers How Do Vision Transformers Work?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.512019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0764c37-b79e-4187-8c10-b8f5152f1a1d · inbound

CineMatte: Background Matting for Virtual Production and Beyond cites this paper.

CineMatte: Background Matting for Virtual Production and Beyond How Do Vision Transformers Work?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:38:14.674704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 836ebc44-a2f0-4a56-9f51-331eefa78b30 · inbound

FUSE: Frequency-domain Unification and Spectral Energy Alignment for Multi-modal Object Re-Identification cites this paper.

FUSE: Frequency-domain Unification and Spectral Energy Alignment for Multi-modal Object Re-Identification How Do Vision Transformers Work?

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:09:30.617056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d67ecfaa-d20f-41f2-a3bd-060dbb4a3c22 · inbound

The Hidden Evolution of Disguised Visual Context inside the VLM cites this paper.

The Hidden Evolution of Disguised Visual Context inside the VLM How Do Vision Transformers Work?

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:29:29.182535Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5c4ed93-bac7-4d17-8a6b-41ae496d217b · inbound

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting cites this paper.

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting How Do Vision Transformers Work?

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:59:38.406344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86da79d6-8736-4b29-840d-ebccddcce57f · inbound

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting cites this paper.

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting How Do Vision Transformers Work?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T02:09:39.904070Z

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Unavailable: canonical work link unavailable.

Observation cdbb24d2-c8f0-42a3-b67d-3fc0868c7e87 · inbound

Does Your ViT Still Need U-Net for Segmentation? cites this paper.

Does Your ViT Still Need U-Net for Segmentation? How Do Vision Transformers Work?

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:17:17.696415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b647541-45ed-4121-bd76-6999407e8728 · inbound

Identifying Latent Concepts and Structures for Generalized Category Discovery cites this paper.

Identifying Latent Concepts and Structures for Generalized Category Discovery How Do Vision Transformers Work?

Reference 213

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T14:47:03.332595Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 31affc47-fa6f-4d0a-b944-70e6e0874057 · inbound

SFKD: Spatial--Frequency Joint-Aware Heterogeneous Knowledge Distillation via Multi-Level Wavelet Spectral Interaction cites this paper.

SFKD: Spatial--Frequency Joint-Aware Heterogeneous Knowledge Distillation via Multi-Level Wavelet Spectral Interaction How Do Vision Transformers Work?

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:36.800516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8770de0d-8ddd-477e-8fb7-dcb13f6b0beb · inbound

OmniDS: Dual-Stream Context Fusion for Omnidirectional Depth from Fisheye Cameras cites this paper.

OmniDS: Dual-Stream Context Fusion for Omnidirectional Depth from Fisheye Cameras How Do Vision Transformers Work?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T05:17:21.435075Z

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Observation a12d4c63-85c2-490e-9b1b-ccbb096033d8 · inbound

GeoSAM-Lite: A Lightweight Foundation Model for Onboard Remote Sensing Segmentation cites this paper.

GeoSAM-Lite: A Lightweight Foundation Model for Onboard Remote Sensing Segmentation How Do Vision Transformers Work?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T00:08:46.276767Z

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Observation d25ae062-4547-449f-9a14-bbad2cd86fac · inbound

FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small Object Detection cites this paper.

FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small Object Detection How Do Vision Transformers Work?

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-08T01:14:27.482739Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d75ce1ee-b0e0-4468-97f1-3096d6b11345 · inbound

FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small Object Detection cites this paper.

FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small Object Detection How Do Vision Transformers Work?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-11T07:49:40.867148Z

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Observation 8b5802a2-59e6-42b1-8124-ef089b4dca47 · inbound

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control How Do Vision Transformers Work?

Reference 140

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:45.229506Z

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Unavailable: canonical work link unavailable.