Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:44:25.481054Z
Paper Citation Record · LEDGER
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers
As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2411.09420.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
54 of 54 outbound references displayed
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- verified fuzzy30
- unresolved24
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 983f661d-3e97-47e0-a7a3-f184317555ec · outbound
This paper cites Uni4eye++: A general masked image modeling multi-modal pre-training framework for ophthalmic image classification and segmentation.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Uni4eye++: A general masked image modeling multi-modal pre-training framework for ophthalmic image classification and segmentation
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation abb8a084-89a2-4846-90d0-3f4338afe7e0 · outbound
This paper cites End-to- end object detection with transformers, 2020.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers End-to- end object detection with transformers, 2020
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 25bb2213-6e22-44b4-ba4a-3bceb595725f · outbound
This paper cites Crossvit: Cross-attention multi-scale vision transformer for image classification.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Crossvit: Cross-attention multi-scale vision transformer for image classification
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6916e746-f155-47a7-8159-6490da88204d · outbound
This paper cites Chen et al.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Chen et al
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 7b811392-787c-4e00-99b9-6e382c5d278d · outbound
This paper cites Ef- ficient decoder-free object detection with transformers, 2022.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Ef- ficient decoder-free object detection with transformers, 2022
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation ba3d82ee-8479-4279-98bd-dfe8bfdbc474 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 6
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Source-reported events for the cited work
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Observation 3bd97567-22d2-4d54-aa4a-d514b0957b74 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 7
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Source-reported events for the cited work
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Observation 65fd272f-6fa3-405d-8dd2-b4966e090407 · outbound
This paper cites Remote sens- ing image scene classification: Benchmark and state of the art.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Remote sens- ing image scene classification: Benchmark and state of the art
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3fb802e3-6cc1-4740-bfe8-1006044c1fc3 · outbound
This paper cites Dosovitskiy.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Dosovitskiy
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 284b5dbc-2b1b-49ea-9314-3cfa494d3ce7 · outbound
This paper cites Large- scale learnable graph convolutional networks.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Large- scale learnable graph convolutional networks
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6776a8df-e616-4961-b19e-10f77f03bffd · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ae6ada0c-adf6-461c-a966-ef5838e263a9 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation bf2e751a-59f7-451a-a9a8-5e9c39d5f92d · outbound
This paper cites Deep residual learning for image recognition.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Deep residual learning for image recognition
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation de3d3995-f34f-4159-af34-df505622b63b · outbound
This paper cites Densely connected convolutional net- works.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Densely connected convolutional net- works
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 4b3203a0-c824-4e07-942a-336727bbac09 · outbound
This paper cites Polarformer: A transformer-based method for multi-lesion segmentation in intravascular oct.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Polarformer: A transformer-based method for multi-lesion segmentation in intravascular oct
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation 8a31a3d3-04b4-4ff3-8e82-895c03c9b8ae · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 7151d80a-451c-41a4-a0c4-930fdde045cd · outbound
This paper cites Iandola, Song Han, Matthew W.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Iandola, Song Han, Matthew W
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 66bdffd6-b056-4528-a2c7-db0245ed8187 · outbound
This paper cites Nct-crc-he: Not all histopathological datasets are equally useful, 2024.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Nct-crc-he: Not all histopathological datasets are equally useful, 2024
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation f1356267-e50a-4e8a-b0d2-047beafe4255 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 19
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Source-reported events for the cited work
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Observation 510f645e-6a30-49f3-9b07-ffd51d03285a · outbound
This paper cites Adam: A Method for Stochastic Optimization.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Adam: A Method for Stochastic Optimization
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9d309a3-2c7a-4bcd-b833-251d0c990cac · outbound
This paper cites Learning multiple layers of features from tiny images.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Learning multiple layers of features from tiny images
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f504d416-5f01-48cd-a6ca-b5fd13eb6242 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a7d3a0a8-581a-41b0-94f8-e27945567be5 · outbound
This paper cites Lee, J.S.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Lee, J.S
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4e6aefaa-f1ca-4e50-8707-c9ad6f359075 · outbound
This paper cites Feature pyramid networks for object detection, 2016.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Feature pyramid networks for object detection, 2016
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0b9140a9-f850-43e6-aaca-e46a8a30615f · outbound
This paper cites Feature pyramid networks for object detection, 2017.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Feature pyramid networks for object detection, 2017
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17dd8b49-a639-4e43-846b-6b98844b625f · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 1ff58198-b241-459a-9ecb-2644b85ab323 · outbound
This paper cites Understanding the effective receptive field in deep convolu- tional neural networks.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Understanding the effective receptive field in deep convolu- tional neural networks
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c6377d94-4a79-4413-8f8f-4f61e54d876a · outbound
This paper cites Shufflenet v2: Practical guidelines for efficient cnn architec- ture design.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Shufflenet v2: Practical guidelines for efficient cnn architec- ture design
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eb7d2557-d003-4db1-9359-a537f8112413 · outbound
This paper cites Mobilevit: Light- weight, general-purpose, and mobile-friendly vision trans- former, 2021.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Mobilevit: Light- weight, general-purpose, and mobile-friendly vision trans- former, 2021
Reference 29
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2bd26d01-f3c2-4654-b909-36bb1195e151 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 30
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Source-reported events for the cited work
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Observation 012c5f7b-1d2a-4208-a68d-da443ccada64 · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 353c0412-45c4-4210-b066-ecd068b300ba · outbound
This paper cites Vidt: An efficient and effective fully transformer-based object detector, 2021.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Vidt: An efficient and effective fully transformer-based object detector, 2021
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5cd6935a-e49e-4c54-a827-5529f6925f77 · outbound
This paper cites Srinivas.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Srinivas
Reference 33
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e7d8562b-288d-4d27-acd0-614cddcd63c6 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 34
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Source-reported events for the cited work
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Observation ac68f6a4-c6a3-481d-9089-34c437506dbe · outbound
This paper cites Going deeper with convolutions.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Going deeper with convolutions
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fcdfaf01-d5dc-40ec-98ca-323ccbc45e07 · outbound
This paper cites Rethinking the inception archi- tecture for computer vision.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Rethinking the inception archi- tecture for computer vision
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 191bf31a-a120-49f8-a0ab-a240e659b6ff · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 37
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bfbdc98f-6979-4036-a55b-9eedd1c99970 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 77cc4263-5a40-49c7-9126-c259d3769c52 · outbound
This paper cites Category feature transformer for semantic segmentation, 2023.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Category feature transformer for semantic segmentation, 2023
Reference 39
- Resolution
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- raw_fallback, observed 2026-08-12T20:44:25.731702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fc9eb6a1-0524-4372-a5d9-811258f72609 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ded668ac-8857-488f-8c94-104d28beef4e · outbound
This paper cites Training data-efficient image transformers & distillation through attention.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Training data-efficient image transformers & distillation through attention
Reference 41
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0f784c9-7cd7-45a1-b891-ccf486bd79ec · outbound
This paper cites Training data-efficient image transformers & distillation through at- tention.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Training data-efficient image transformers & distillation through at- tention
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:25.706392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e269bf1a-accd-41c6-9707-e3547ab8bb2a · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 43
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5e3bf1af-d61d-49a7-a3d0-41a61f3b4139 · outbound
This paper cites Graph at- tention networks.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Graph at- tention networks
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:25.680966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f455ac74-9552-4c81-8c8e-b0509a7abb85 · outbound
This paper cites Deep learning inno- vations for underwater waste detection: An in-depth analy- sis, 2024.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Deep learning inno- vations for underwater waste detection: An in-depth analy- sis, 2024
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:25.667387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 40a6bbc7-eca8-4b39-ade2-c3d103d50d3e · outbound
This paper cites Optimized custom dataset for efficient detection of underwater trash.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Optimized custom dataset for efficient detection of underwater trash
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:25.653065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a3fc2678-ce7e-480e-ba2d-bbb280fb8653 · outbound
This paper cites Non-local neural networks.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Non-local neural networks
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:25.640056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c2f10580-6b6b-4c86-8e8a-fc19a43ecc41 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T20:44:25.627049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2d9f27ba-9c6e-45db-93f7-89d2b453595b · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T20:44:25.613319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 85f723d8-0bbe-450a-b710-318ecef25471 · outbound
This paper cites Multi-label chest x-ray image classification with single positive labels.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Multi-label chest x-ray image classification with single positive labels
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:44:25.600506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bf1b2f89-7be9-4c78-935d-5bc9aa34d2a6 · outbound
This paper cites Alvarez, and Ping Luo.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Alvarez, and Ping Luo
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:44:25.468727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a9c5e20-e47a-4bdb-8ce5-e7a878ef949a · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T20:44:25.578708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c787f9c4-9aff-434a-9eb9-4fbd542d710a · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T20:44:25.565578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 23a0b415-a994-4b99-8482-ccfe209a0a08 · outbound
This paper cites an unresolved cited work.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T20:44:25.552606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.