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Paper Citation Record · LEDGER

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2505.03431.

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

pith.paper-citation-record.v1
2505.03431 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:55:28.894981Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:30:37.280836Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:30:37.353421Z

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 677ba08f-fb21-4a33-9c3a-46924bf0ef5e · outbound

This paper cites Lcrca: image super- resolution using lightweight concatenated residual channel attention net- works,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Lcrca: image super- resolution using lightweight concatenated residual channel attention net- works,

Reference 1

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Observation ed119e12-9be9-403a-8031-2e3137c252ca · outbound

This paper cites Pre-trained vggnet architecture for remote-sensing image scene classification,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Pre-trained vggnet architecture for remote-sensing image scene classification,

Reference 2

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Observation e871ba6c-b36e-4e3c-8d2e-df2c595d3dd1 · outbound

This paper cites Feature fusion with deep supervision for remote-sensing image scene classification,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Feature fusion with deep supervision for remote-sensing image scene classification,

Reference 3

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Observation 8eb9cb2a-0f56-450d-91f4-fa81d5a785bc · outbound

This paper cites Bag of words kaze (bowk) with two-step classification for high-resolution remote sensing images,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Bag of words kaze (bowk) with two-step classification for high-resolution remote sensing images,

Reference 4

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Observation c4c001ea-c113-422a-b233-dd6da5d62127 · outbound

This paper cites Patch-based discriminative learning for remote sensing scene classification,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Patch-based discriminative learning for remote sensing scene classification,

Reference 5

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Observation 465bc1fc-9e43-42c1-936e-bc061167818a · outbound

This paper cites Single hyperspectral image super-resolution using a progressive upsampling deep prior network,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Single hyperspectral image super-resolution using a progressive upsampling deep prior network,

Reference 6

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Observation 17cf2978-7716-4032-8731-15f0f7867ee8 · outbound

This paper cites Hyperspectral and multispectral image fusion based on band simulation,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Hyperspectral and multispectral image fusion based on band simulation,

Reference 7

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Observation d932784d-d5c9-4936-b830-b11c4af24b36 · outbound

This paper cites Deep blind super- resolution for hyperspectral images,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Deep blind super- resolution for hyperspectral images,

Reference 8

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Observation 53db6c18-3d18-4e12-a4a5-39884cece8b1 · outbound

This paper cites Bayesian fusion of multi-band images,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Bayesian fusion of multi-band images,

Reference 9

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Observation 668bef20-b6a6-4b81-a688-ca85c0567903 · outbound

This paper cites Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion,

Reference 10

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Observation 2f0dfa5a-bce6-4efc-9f16-3d20aad4a460 · outbound

This paper cites Sparse spatio-spectral representation for hyperspectral image super-resolution,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Sparse spatio-spectral representation for hyperspectral image super-resolution,

Reference 11

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Observation 18aff0d7-81bf-4747-b382-d5a7dd770d49 · outbound

This paper cites An integrated approach to registration and fusion of hyperspectral and multispectral images,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution An integrated approach to registration and fusion of hyperspectral and multispectral images,

Reference 12

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Observation 1c600059-0fc7-48ab-8b1d-b08b5f81e63b · outbound

This paper cites Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network

Reference 13

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Observation a2d68616-acde-4d85-b1e1-8feeaa5b215a · outbound

This paper cites Hi- erarchical spatio-spectral fusion for hyperspectral image super resolution via sparse representation and pre-trained deep model,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Hi- erarchical spatio-spectral fusion for hyperspectral image super resolution via sparse representation and pre-trained deep model,

Reference 14

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Observation 4e67e478-8f82-4df1-8d20-029f2f1a5296 · outbound

This paper cites Hyperspectral image super-resolution based on feature diversity extraction,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Hyperspectral image super-resolution based on feature diversity extraction,

Reference 15

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Observation 936dc150-0b62-482b-a4c0-fefac1991ec1 · outbound

This paper cites Hyperspectral image super-resolution with convlstm skip-connections,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Hyperspectral image super-resolution with convlstm skip-connections,

Reference 16

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Observation 67bbdfea-e361-4f00-9db7-34cef941dae1 · outbound

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

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Combining global receptive field and spatial spectral information for single-image hyperspectral super- resolution,

Reference 17

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Observation ddba5443-e390-4feb-abc4-4989fd163d9d · outbound

This paper cites Spectral–spatial residual network for hyperspectral image classification: A 3-d deep learning framework,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Spectral–spatial residual network for hyperspectral image classification: A 3-d deep learning framework,

Reference 18

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Observation 51c7697e-25cf-4cac-895e-04cf640297d2 · outbound

This paper cites Going deeper with convolutions,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Going deeper with convolutions,

Reference 19

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Observation e5bdb5a2-d0d3-48ad-90c8-4e1333a48b07 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 20

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Observation bda20494-d6d5-4844-8edb-0790bf0a170a · outbound

This paper cites Deep residual learning for image recognition,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Deep residual learning for image recognition,

Reference 21

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Observation 27789c4a-4dd5-4e24-8625-c3b9fd767424 · outbound

This paper cites Enhancing hy- perspectral images via diffusion model and group-autoencoder super- resolution network,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Enhancing hy- perspectral images via diffusion model and group-autoencoder super- resolution network,

Reference 22

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Observation f123e386-bec5-4e97-bd2f-3328295466cd · outbound

This paper cites Exploring the relationship between 2d/3d convolution for hyperspectral image super-resolution,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Exploring the relationship between 2d/3d convolution for hyperspectral image super-resolution,

Reference 23

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Observation 0dba26fe-e528-4e7f-b848-f088c9049a2c · outbound

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

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Mixed 2d/3d convolutional network for hyperspectral image super-resolution,

Reference 24

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Observation 8154b2b6-60f7-4945-83ff-a6cabeb0e7bf · outbound

This paper cites Deep posterior distribution-based embedding for hyperspectral image super-resolution,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Deep posterior distribution-based embedding for hyperspectral image super-resolution,

Reference 25

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Source-reported events for the cited work

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Observation 142da289-f3d2-401b-b7ba-b1d607c140af · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Accurate image super-resolution using very deep convolutional networks,

Reference 26

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Observation 94d3c508-8347-4007-9d79-113b50dc041d · outbound

This paper cites Enhanced deep residual networks for single image super-resolution,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Enhanced deep residual networks for single image super-resolution,

Reference 27

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Observation 75abef85-ebc8-46f7-873e-72019428928e · outbound

This paper cites Msdformer: Multi-scale deformable transformer for hyperspectral image super-resolution,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Msdformer: Multi-scale deformable transformer for hyperspectral image super-resolution,

Reference 28

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Source-reported events for the cited work

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Observation 8a82e3ac-8583-4d8e-a59b-0b8ef56e280c · outbound

This paper cites Multi-scale feature mapping net- work for hyperspectral image super-resolution,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Multi-scale feature mapping net- work for hyperspectral image super-resolution,

Reference 29

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Source-reported events for the cited work

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Observation a245db4d-3c0c-403f-9719-c2a90ae04e40 · outbound

This paper cites As 3 itransunet: Spatial-spectral interactive transformer u-net with alternating sampling for hyperspectral image super-resolution,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution As 3 itransunet: Spatial-spectral interactive transformer u-net with alternating sampling for hyperspectral image super-resolution,

Reference 30

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Source-reported events for the cited work

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Observation b6797329-d1d7-48be-91f9-e13bb412b493 · outbound

This paper cites A comparison of hyperspectral super-resolution techniques for boreal forest imagery,.

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution A comparison of hyperspectral super-resolution techniques for boreal forest imagery,

Reference 31

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Source-reported events for the cited work

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Pith citing papers

Observation e6b5c760-9b78-484d-80a5-cfc608bae8af · inbound

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution cites this paper.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution

Reference 20

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local_arxiv, observed 2026-08-07T10:30:37.357413Z

Source-reported events for the cited work

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