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Paper Citation Record · LEDGER

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.17361.

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

pith.paper-citation-record.v1
2506.17361 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:41:00.648294Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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  • verified fuzzy40
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27b1a84c-7fad-4827-b34f-f7695eddd14a · outbound

This paper cites Hyperspectralimagesuper-resolutionviadual-domain network based on hybrid convolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectralimagesuper-resolutionviadual-domain network based on hybrid convolution

Reference 1

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Observation e0d87c1c-8cdb-43d3-961e-07b834b90c87 · outbound

This paper cites Hyperspectral anomaly detection based on machine learning: An overview.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectral anomaly detection based on machine learning: An overview

Reference 2

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Observation 3403b3cc-97d2-4a64-93e8-c38219d3bffe · outbound

This paper cites Single image super-resolution based on progressive fusion of orientation-aware features.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Single image super-resolution based on progressive fusion of orientation-aware features

Reference 3

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Observation d8ef3936-5637-456d-8b67-5413798f48d4 · outbound

This paper cites Hyperspectral image super-resolution via nonlocal low-rank tensor approximation and total variation regularization.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectral image super-resolution via nonlocal low-rank tensor approximation and total variation regularization

Reference 4

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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.

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Observation 6fff84c7-0832-4033-8dee-527a1219aee5 · outbound

This paper cites Single image super-resolution based on trainable feature matching attention network.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Single image super-resolution based on trainable feature matching attention network

Reference 5

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation bd56771c-3073-415e-8006-9fcd515a5558 · outbound

This paper cites Image super-resolution using deep convolutional networks.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Image super-resolution using deep convolutional networks

Reference 6

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Source-reported events for the cited work

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Observation 022aa0b0-6316-4597-8715-c50b3c11e9e7 · outbound

This paper cites Enhanced deep residual networks for single image super-resolution, in: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Enhanced deep residual networks for single image super-resolution, in: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp

Reference 7

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f2fd05f5-40c3-49b2-9ae5-e15370390863 · outbound

This paper cites Hyperspectralimagesuper-resolutionbasedonspatialcorrelation-regularized unmixing convolutional neural network.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectralimagesuper-resolutionbasedonspatialcorrelation-regularized unmixing convolutional neural network

Reference 8

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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.

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Observation 98221607-18e4-4401-b2e9-bad17f382e41 · outbound

This paper cites Hyperspectral image spatial super-resolution via 3d full convolutional neural network.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectral image spatial super-resolution via 3d full convolutional neural network

Reference 9

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Observation 821698fb-6158-4d99-bd25-92e555f43d73 · outbound

This paper cites Interactformer: Interactive transformer and cnn for hyperspectral image super-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Interactformer: Interactive transformer and cnn for hyperspectral image super-resolution

Reference 10

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Observation da7e52d3-3ac7-43cc-ada2-a71d56d05937 · outbound

This paper cites Learning spatial-spectral prior for super-resolution of hyperspectral imagery.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Learning spatial-spectral prior for super-resolution of hyperspectral imagery

Reference 11

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:41:00.555780Z digest=sha256:694f833a36fc34509908fe473195e6c11fcb67162dd045ea972c0c2aedf1e7fa

Observation a2d2044f-5420-47ba-8176-d8bfb7d29b53 · outbound

This paper cites Hyperspectral image super-resolution via recurrent feedback embedding and spatial–spectral consistency regularization.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectral image super-resolution via recurrent feedback embedding and spatial–spectral consistency regularization

Reference 12

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Source-reported events for the cited work

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Observation 0e590f9c-466c-46ab-9420-142d9b6e2f4f · outbound

This paper cites Cnn-enhanced graph attention network for hyperspectral image super-resolution using non-local self-similarity.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Cnn-enhanced graph attention network for hyperspectral image super-resolution using non-local self-similarity

Reference 13

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Source-reported events for the cited work

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Observation 94aa78f1-ce95-45dc-8b52-7845f7d11164 · outbound

This paper cites Hyperspectral image superresolution using spectrum and feature context.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectral image superresolution using spectrum and feature context

Reference 14

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.

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Observation 1b49ba5d-e7fb-465d-b9a6-3976fadf9c0d · outbound

This paper cites Group shuffle and spectral-spatial fusion for hyperspectral image super-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Group shuffle and spectral-spatial fusion for hyperspectral image super-resolution

Reference 15

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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.

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Observation 7f829f71-3b71-4a78-913f-3bc8eca3fe9c · outbound

This paper cites Blueprint separable residual network for efficient image super-resolution, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Blueprint separable residual network for efficient image super-resolution, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a11915ea-8ef9-42a0-ada5-8eb4948e62db · outbound

This paper cites Single image super-resolution based on directional variance attention network.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Single image super-resolution based on directional variance attention network

Reference 17

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Observation 9153d37f-7632-415f-acc9-21ff3e2564cc · outbound

This paper cites Hyperspectral image super-resolution using deep convolutional neural network.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectral image super-resolution using deep convolutional neural network

Reference 18

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Source-reported events for the cited work

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Observation 3dc1dec2-8737-4154-8895-b7c6890734e6 · outbound

This paper cites Hyperspectral image superresolution by transfer learning.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectral image superresolution by transfer learning

Reference 19

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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.

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Observation d98be94d-517c-462e-81f7-35c0dbee7847 · outbound

This paper cites 3dfcnn: Real-time action recognition using 3d deep neural networks with raw depth information.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution 3dfcnn: Real-time action recognition using 3d deep neural networks with raw depth information

Reference 20

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Source-reported events for the cited work

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Observation 98746b9e-d044-4feb-8e5f-e193c9150566 · outbound

This paper cites Mixed 2d/3d convolutional network for hyperspectral image super-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Mixed 2d/3d convolutional network for hyperspectral image super-resolution

Reference 21

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Observation 5163595d-0b7c-4e1a-a871-01d1137d0b5d · outbound

This paper cites Hyperspectralimagesuper-resolutionviadual-domain network based on hybrid convolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectralimagesuper-resolutionviadual-domain network based on hybrid convolution

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.

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Observation 35775ace-85be-4915-a3d5-b6db5f9584ee · outbound

This paper cites Single hyperspectral image super-resolution with grouped deep recursive residual network, in: 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), IEEE.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Single hyperspectral image super-resolution with grouped deep recursive residual network, in: 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), IEEE

Reference 23

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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.

source=pdf_text observed=2026-08-06T23:41:00.593959Z digest=sha256:c54185fb874db66d5f16a078241693c3a9ae0fbf14d5c3c893d15c06eb476c01

Observation 5a0aa12b-f777-4180-aa57-89befacededd · outbound

This paper cites A spectral grouping and attention-driven residual dense network for hyperspectral image super-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution A spectral grouping and attention-driven residual dense network for hyperspectral image super-resolution

Reference 24

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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.

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Observation 189f91b8-7089-4cb7-bb0e-9c9b5e4e9ff3 · outbound

This paper cites Msdformer: Multiscale deformable transformer for hyperspectral image super-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Msdformer: Multiscale deformable transformer for hyperspectral image super-resolution

Reference 25

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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.

source=pdf_text observed=2026-08-06T23:41:00.599755Z digest=sha256:e47b09569f8050bfd9b144dd2da3c005503b7e53617dce3803d063c9565acf09

Observation 4952a268-47de-4174-950f-88bdb311172c · outbound

This paper cites Msdformer: Multiscale deformable transformer for hyperspectral image super-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Msdformer: Multiscale deformable transformer for hyperspectral image super-resolution

Reference 26

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.

source=pdf_text observed=2026-08-06T23:41:00.602950Z digest=sha256:5ff62f0171ac5fc01b046c1b335d15aa2d380693386ca0c3d56b9765fe15af7c

Observation bce082ca-1a5b-4af6-894a-4236a4ff1a8b · outbound

This paper cites Hyperspectral image super-resolution meets deep learning: A survey and perspective.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectral image super-resolution meets deep learning: A survey and perspective

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.

source=pdf_text observed=2026-08-06T23:41:00.606112Z digest=sha256:c3ea9f20ce96e1d7bd5b6b9be57c6d464d4bead045c8617b8bead3d3a7e6653a

Observation 63862582-2a9c-473e-8766-2efbfefdafc3 · outbound

This paper cites Remotesensingimagesuper-resolutionviamultiscaleenhancement network.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Remotesensingimagesuper-resolutionviamultiscaleenhancement network

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.818142Z

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.

source=pdf_text observed=2026-08-06T23:41:00.609493Z digest=sha256:41747132d7670728f234074d6183821ac65002895fb3f3d271ff0b6b1022a2c1

Observation 9ab00f5b-acb8-4ffe-9da8-1eda975ad428 · outbound

This paper cites Ssir:Spatialshufflemulti-headself-attentionforsingleimagesuper-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Ssir:Spatialshufflemulti-headself-attentionforsingleimagesuper-resolution

Reference 29

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raw_fallback, observed 2026-08-06T23:41:00.808323Z

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.

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Observation 3844280c-68a9-4291-8aef-e57543c47da4 · outbound

This paper cites Dense extreme inception network for edge detection.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Dense extreme inception network for edge detection

Reference 30

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.

source=pdf_text observed=2026-08-06T23:41:00.615426Z digest=sha256:09fbf11439dd863ab57d61d93ccf3674470b733a2f9767ec4a29308bb0828487

Observation 8713156b-b872-4815-8a32-2a507c59bde4 · outbound

This paper cites Focal modulation networks.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Focal modulation networks

Reference 31

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.

source=pdf_text observed=2026-08-06T23:41:00.618202Z digest=sha256:0dd43d42f336d5062f2d17ed7a5f9803bac448eeb240a37895a2f873ddd9af3c

Observation 4caa92a1-c886-42a6-8d9c-3b9712fd28f2 · outbound

This paper cites On the Relationship between Self-Attention and Convolutional Layers.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution On the Relationship between Self-Attention and Convolutional Layers

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:00.620976Z digest=sha256:e3b3e224dbc5161b8417216c0b48273a2d8c5d9c7484a4f1e2e8a52aa7866316

Observation 730e0d79-a530-47dd-b3a9-34b65c159936 · outbound

This paper cites Hyperspectral image classification via multiscale multiangle attention network.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Hyperspectral image classification via multiscale multiangle attention network

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.778291Z

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.

source=pdf_text observed=2026-08-06T23:41:00.624613Z digest=sha256:68468f6856967aebc994ea6124d3984f18ee590a240ec1b2492f48e5d3d6d1d2

Observation b39f3af6-f28d-4de2-aea9-66c184756188 · outbound

This paper cites Owrt-detr: A novel real-time transformer network for small-object detection in open-water search and rescue from uav aerial imagery.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Owrt-detr: A novel real-time transformer network for small-object detection in open-water search and rescue from uav aerial imagery

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.768350Z

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.

source=pdf_text observed=2026-08-06T23:41:00.627497Z digest=sha256:9d38d3b6ac7af77fee233c9d345d8afc1d0081a13051a9cdc6a9dfc1aa2a74bd

Observation 4f033100-1fe1-4692-a9b7-984254eb76d0 · outbound

This paper cites Spatio-spectral feature classification combining 3d-convolutionalneuralnetworkswithlongshort-termmemoryformotormovement/imagery.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Spatio-spectral feature classification combining 3d-convolutionalneuralnetworkswithlongshort-termmemoryformotormovement/imagery

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.756960Z

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.

source=pdf_text observed=2026-08-06T23:41:00.630328Z digest=sha256:57dd2e5ac7480ae23cfdd185a8ad80bc0f174786dfc3615c5eb97a6cc0930260

Observation 80b9a0c9-75f2-4a15-88a4-d5c0a9fa527f · outbound

This paper cites Combining global receptive field and spatial spectral information for single-image hyperspectral super-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Combining global receptive field and spatial spectral information for single-image hyperspectral super-resolution

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.746091Z

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.

source=pdf_text observed=2026-08-06T23:41:00.633245Z digest=sha256:e7135c2a8e5aa4a9fd8a458d64dfc3fea1f9688562d439319f507ad80da1ff0c

Observation d543d10f-1439-4270-905f-89d67c548260 · outbound

This paper cites A spatial–spectral transformer network with total variation loss for hyperspectral image denoising.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution A spatial–spectral transformer network with total variation loss for hyperspectral image denoising

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.734956Z

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.

source=pdf_text observed=2026-08-06T23:41:00.636306Z digest=sha256:2d1e506c2e5ad41339acfeff7bdb902fa0621f8da72e159c17347dc7b6352cca

Observation 7293a215-c235-4f4b-8111-793830d84980 · outbound

This paper cites Asymmetric content-aided transformer for efficient image super-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Asymmetric content-aided transformer for efficient image super-resolution

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.724374Z

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.

source=pdf_text observed=2026-08-06T23:41:00.639107Z digest=sha256:f88e7be22796fa02ab2e017af19d66d1a03b9adb986a7ed37eb6419209c2842d

Observation ab3f50d6-1bd7-42ce-aba6-51e82ef538f5 · outbound

This paper cites Beyondself-attention:Deformablelargekernelattentionformedicalimagesegmentation,in:ProceedingsoftheIEEE/CVF winter conference on applications of computer vision, pp.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Beyondself-attention:Deformablelargekernelattentionformedicalimagesegmentation,in:ProceedingsoftheIEEE/CVF winter conference on applications of computer vision, pp

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.714394Z

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.

source=pdf_text observed=2026-08-06T23:41:00.641925Z digest=sha256:37fcee9b91e5943007715cb098aeaacf4d5fd399b8d32d039614553081a2fe39

Observation 14ab14da-2ee8-4a98-92ae-aa4077398b20 · outbound

This paper cites Patch loss: A generic multi-scale perceptual loss for single image super-resolution.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution Patch loss: A generic multi-scale perceptual loss for single image super-resolution

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.703777Z

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.

source=pdf_text observed=2026-08-06T23:41:00.645501Z digest=sha256:1986c2e39b7e9dd5411f1f7577d650569d73510ea886045bf563c2c098c336bc

Observation ca197c88-561b-46d5-a6dd-7eb22848572f · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology 33, 6331–6346.

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution IEEE Transactions on Circuits and Systems for Video Technology 33, 6331–6346

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:00.692668Z

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.

source=pdf_text observed=2026-08-06T23:41:00.648294Z digest=sha256:5b3f96ed49f8584d137f820ae4924cd263d588d9bd5e818387ab40410a0a7e31

Pith citing papers

No inbound Pith citation observations are available.