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Paper Citation Record · LEDGER

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution

As of 21 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2505.24605.

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

pith.paper-citation-record.v1
2505.24605 v1

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measured 72 of 72 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

72 of 72 outbound references displayed

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Outbound references

Observation 9e4d5563-93b2-4139-8fb1-4ebb0794eaf2 · outbound

This paper cites Remote sensing image super-resolution and object detection: Benchmark and state of the art,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Remote sensing image super-resolution and object detection: Benchmark and state of the art,

Reference 1

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Observation 2ecbb6ea-79db-4fa8-b3b4-978ba4febab8 · outbound

This paper cites Recent advances of hyperspectral imaging technology and applications in agriculture,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Recent advances of hyperspectral imaging technology and applications in agriculture,

Reference 2

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Observation 885c59a5-0f00-455a-b166-4db7e6ec480e · outbound

This paper cites Hyperspectral imaging for clinical applications,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Hyperspectral imaging for clinical applications,

Reference 3

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Observation 0d629cd1-ca8a-48ba-b402-c6723a09185c · outbound

This paper cites Extraction of spectral information from hyperspectral data and application of hyperspectral imaging for food and agricultural products,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Extraction of spectral information from hyperspectral data and application of hyperspectral imaging for food and agricultural products,

Reference 4

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Observation 5d771d71-3d07-4caa-b0e8-9fe0465da387 · outbound

This paper cites A review: Remote sensing sensors,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A review: Remote sensing sensors,

Reference 5

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Observation 7df14036-0ed1-4ca2-9668-1bd4b55c8fef · outbound

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

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Hyperspectral image super- resolution using deep convolutional neural network,

Reference 6

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Observation 0b08462c-2f6a-4fc4-a8f4-2850d781577e · outbound

This paper cites Hyperspectral image super-resolution via deep spatiospectral at- tention convolutional neural networks,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Hyperspectral image super-resolution via deep spatiospectral at- tention convolutional neural networks,

Reference 7

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Observation 9f997405-4133-46f7-83bb-926bf22fe4e3 · outbound

This paper cites Essaformer: Efficient transformer for hyperspectral image super- resolution,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Essaformer: Efficient transformer for hyperspectral image super- resolution,

Reference 8

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Observation 284c2374-b3da-45b7-a70e-225753aec2a1 · outbound

This paper cites Deep unfolding network for spatiospectral image super-resolution,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Deep unfolding network for spatiospectral image super-resolution,

Reference 9

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Observation 93c7848a-b3c5-483c-a863-1cabe127a00d · outbound

This paper cites Spatial and spectral joint super- resolution using convolutional neural network,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Spatial and spectral joint super- resolution using convolutional neural network,

Reference 10

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Observation d193b33b-e821-4a5d-b927-9e397b1b9944 · outbound

This paper cites Multi-task interaction learning for spatiospectral image super-resolution,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Multi-task interaction learning for spatiospectral image super-resolution,

Reference 11

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Observation dc120349-3c0e-47b7-8a93-b87a9d03330e · outbound

This paper cites Motion analysis for image enhancement: Res- olution, occlusion, and transparency,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Motion analysis for image enhancement: Res- olution, occlusion, and transparency,

Reference 12

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This paper cites Robust super-resolution,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Robust super-resolution,

Reference 13

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This paper cites A survey of pansharpening methods with a new band-decoupled variational model,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A survey of pansharpening methods with a new band-decoupled variational model,

Reference 14

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This paper cites Image super- resolution: A comprehensive review, recent trends, challenges and ap- plications,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Image super- resolution: A comprehensive review, recent trends, challenges and ap- plications,

Reference 15

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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution New edge-directed interpolation,

Reference 16

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This paper cites Cubic convolution interpolation for digital image processing,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Cubic convolution interpolation for digital image processing,

Reference 17

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This paper cites Regularization-based multi-frame super-resolution: A systematic review,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Regularization-based multi-frame super-resolution: A systematic review,

Reference 18

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This paper cites Image deblurring and super- resolution by adaptive sparse domain selection and adaptive regular- ization,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Image deblurring and super- resolution by adaptive sparse domain selection and adaptive regular- ization,

Reference 19

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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Nonlocally centralized sparse representation for image restoration,

Reference 20

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Observation 319917fe-88ac-4c24-91b9-5c2e34e5c3e1 · outbound

This paper cites What if image self- similarity can be better exploited in data fidelity terms?.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution What if image self- similarity can be better exploited in data fidelity terms?

Reference 21

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

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Image super-resolution using deep convolutional networks,

Reference 22

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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Enhanced deep residual networks for single image super-resolution,

Reference 23

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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Densely connected convolutional networks,

Reference 24

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This paper cites A review on single image super resolution techniques using generative adversarial network,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A review on single image super resolution techniques using generative adversarial network,

Reference 25

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This paper cites Dual-domain prior unfolding network for remote sensing image super-resolution,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Dual-domain prior unfolding network for remote sensing image super-resolution,

Reference 26

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Swinir: Image restoration using swin transformer,

Reference 28

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This paper cites Efficient long-range attention network for image super-resolution,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Efficient long-range attention network for image super-resolution,

Reference 29

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This paper cites Hyperspectral image superresolution by transfer learning,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Hyperspectral image superresolution by transfer learning,

Reference 30

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

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Learning spatial-spectral prior for super-resolution of hyperspectral imagery,

Reference 31

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This paper cites Spectral super-resolution meets deep learning: Achievements and challenges,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Spectral super-resolution meets deep learning: Achievements and challenges,

Reference 32

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This paper cites Adversarial networks for spatial context-aware spectral image reconstruction from rgb,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Adversarial networks for spatial context-aware spectral image reconstruction from rgb,

Reference 33

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Observation 1819d322-de54-4cb4-8c07-aed6e1c191c8 · outbound

This paper cites Learned Spectral Super-Resolution.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Learned Spectral Super-Resolution

Reference 34

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no resolver link, observed 2026-08-07T12:22:49.078004Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:22:49.078004Z digest=sha256:ee8031bf41cb18b0feefea370474fe366ae4e637b066aae9657d6b3280155cde

Observation 36ce5d1e-8d69-4c1c-9993-ced8ebbdab97 · outbound

This paper cites Accurate Spectral Super-resolution from Single RGB Image Using Multi-scale CNN.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Accurate Spectral Super-resolution from Single RGB Image Using Multi-scale CNN

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:22:53.912839Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:49.188304Z digest=sha256:1f5ef5523b7d413b18eb67c10dcfe8e4bc8a06fc803cdbf155e3a69421b6ef60

Observation 29e7e1fb-e5d3-451a-a470-41ba1b65f8a9 · outbound

This paper cites Adaptive weighted attention network with camera spectral sensitivity prior for spectral reconstruction from rgb images,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Adaptive weighted attention network with camera spectral sensitivity prior for spectral reconstruction from rgb images,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:22:49.285016Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:22:49.285016Z digest=sha256:92c4d5d27ac2e19b8fa4636a9a7fb81248185e987830727a09ba7708946aee1d

Observation 68a9a05d-5b9e-4242-8bb2-50e2d8d7dcce · outbound

This paper cites Rgb to spectral reconstruction via learned basis functions and weights,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Rgb to spectral reconstruction via learned basis functions and weights,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:02.241685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:49.360420Z digest=sha256:41bdfb370e46bcbf1047ec5ee9a6275c3567a46c3077322b4d40a35fbf9cecfe

Observation e78ffa4e-dda7-4845-bda2-91e046f237d0 · outbound

This paper cites Learning hyperspectral images from rgb images via a coarse-to-fine cnn,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Learning hyperspectral images from rgb images via a coarse-to-fine cnn,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:01.995645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:49.455315Z digest=sha256:58d6c78bb859bba72a1cf14e5fcc1c4dd5bf40cfd8a208b855132fde2780f5f0

Observation 0416adbe-7ce7-457d-8726-da4a33acced2 · outbound

This paper cites Deep amended gradient descent for efficient spectral reconstruction from single rgb images,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Deep amended gradient descent for efficient spectral reconstruction from single rgb images,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:01.743599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:49.554954Z digest=sha256:f0967d7b7fbb50d7e0d74cf9868bf1686bc6e335025a7855846d63b653c892b1

Observation 8ec2d99b-ac52-4420-90cd-2561e86fea8b · outbound

This paper cites A new benchmark based on recent advances in multispectral pansharpening: Revisiting pansharpening with classical and emerging pansharpening methods,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A new benchmark based on recent advances in multispectral pansharpening: Revisiting pansharpening with classical and emerging pansharpening methods,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:01.612050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:49.652088Z digest=sha256:6acd5abc8d5f4936a27cae530b1e88cefaa2749078e039e6b29817795e5a6979

Observation ff702965-3369-4293-a4e5-08e6934fb8f1 · outbound

This paper cites Multispectral and hyperspectral image fusion in remote sensing: A survey,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Multispectral and hyperspectral image fusion in remote sensing: A survey,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:01.388464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:49.710128Z digest=sha256:9e8b2f183487217acbde8dfdd6a4b5e8ed35e75ad85b0a81d1d4dfeb8e163132

Observation b5ea7e8a-59ea-4f0e-be3f-039b5bf8272e · outbound

This paper cites A comprehensive overview of satellite image fusion: From classical model-based to cutting-edge deep learning approaches,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A comprehensive overview of satellite image fusion: From classical model-based to cutting-edge deep learning approaches,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:01.103098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:49.804993Z digest=sha256:4f134b2dab2962839939060c37d63e21e82af2bc8b3463000c5d106037392258

Observation f2a4c923-8862-4776-ab41-4209e2985a99 · outbound

This paper cites Color enhancement of highly correlated images. ii. channel ratio and “chromaticity.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Color enhancement of highly correlated images. ii. channel ratio and “chromaticity

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:00.949558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:49.894172Z digest=sha256:f282c6ac440cd259d76df705891b575caea67b07d3009d4bf294925e30842c1a

Observation 51f387c9-2eb1-449f-8c14-d815adc9601f · outbound

This paper cites Comparison of three different methods to merge multiresolution and multispectral data- landsat tm and spot panchromatic,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Comparison of three different methods to merge multiresolution and multispectral data- landsat tm and spot panchromatic,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:00.722134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:50.005718Z digest=sha256:11c3613831a7575e93bc67ab950ee5b57fe617409d6ceeec750b79f72f8c070d

Observation 381e244d-4ee1-4aa3-b068-e78ceee3495b · outbound

This paper cites Improving component substitution pansharpening through multivariate regression of ms + pan data,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Improving component substitution pansharpening through multivariate regression of ms + pan data,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:00.503494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:50.221777Z digest=sha256:a5d1b6fafd32d59cdb87040f6ced203bcad1ac5263795045cd6df29a64359744

Observation 4fd2a76a-0406-45b5-8259-a57df9dd5795 · outbound

This paper cites Mtf- tailored multiscale fusion of high-resolution ms and pan imagery,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Mtf- tailored multiscale fusion of high-resolution ms and pan imagery,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:00.304585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:50.496960Z digest=sha256:341743ea8e47e53c60d14aeea85351c7a5daa1ec78a6a8c120468d54822f4b46

Observation 6067cf69-e002-40cc-b1cc-fcbe527d6600 · outbound

This paper cites A wavelet based algorithm for pan sharpening landsat 7 imagery,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A wavelet based algorithm for pan sharpening landsat 7 imagery,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:00.165187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:50.671048Z digest=sha256:a3ed19a4b400a79d769e5aef1b528ba520e0c3427c0a7fa7ccbf7a938b6b69a9

Observation 1839c83b-9f90-4720-a280-a0ff9fa06305 · outbound

This paper cites Introduction of sensor spectral response into image fusion methods. application to wavelet-based methods,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Introduction of sensor spectral response into image fusion methods. application to wavelet-based methods,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:59.974281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:50.781407Z digest=sha256:e200080b757d17b0edbd62d4f3c6d6d4d9e8561b62ece0e6e4ab579cf9b3e3fe

Observation a0073d6b-5b31-4ec0-b3f6-8d5b02767878 · outbound

This paper cites Fusion of multispectral and panchromatic images by local mean and variance matching filtering techniques,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Fusion of multispectral and panchromatic images by local mean and variance matching filtering techniques,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:59.821685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:50.879484Z digest=sha256:845ce96908a5b0ab516ca251fb730963430331ffad212d04a2eba549038aa291

Observation 4ef38e69-fc1a-42b4-bf32-8a0407d65084 · outbound

This paper cites Pansharpening quality assessment using the modulation transfer functions of instruments,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Pansharpening quality assessment using the modulation transfer functions of instruments,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:59.679678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:50.977288Z digest=sha256:1da7365689707e781c8fcbba13a0fd2e298427a7f570b36391cb68e01d2f7955

Observation a84eb763-340f-42e8-9db7-58d6a122c4f6 · outbound

This paper cites A variational model for p+ xs image fusion,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A variational model for p+ xs image fusion,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:59.438597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:51.103170Z digest=sha256:a632e1c6322dfdfb6e0a31c3afabd2e84bc4edc7e8b27c5083a337d10e50c293

Observation 45931af5-1cf2-456c-9c1d-7edfc2f7012f · outbound

This paper cites A nonlocal variational model for pansharpening image fusion,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A nonlocal variational model for pansharpening image fusion,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:59.103361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:51.198883Z digest=sha256:5ecce4754325295e2cfac3c5e26d2319e37952f18a4689d0757686682333d3ab

Observation bb46c21c-7d01-4687-bd04-dd240c265175 · outbound

This paper cites Pansharpening via double nonconvex tensor low- tubal-rank priors,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Pansharpening via double nonconvex tensor low- tubal-rank priors,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:58.849575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:51.438010Z digest=sha256:43e797f75f7b122b56157df84f973c46e1306f9b5cc211fd1fe12fa8fc632b46

Observation 80f473fc-9b55-483f-b041-9d50426beedf · outbound

This paper cites Pannet: A deep network architecture for pan-sharpening,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Pannet: A deep network architecture for pan-sharpening,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:58.669425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:51.558208Z digest=sha256:c4fda44a9b2c1d0993e45e9d11e94a10fb758d204ecc61e076b60899d1180629

Observation b6c5ac79-df8c-4c38-b567-01f94d51b3a3 · outbound

This paper cites Pansharp- ening via detail injection based convolutional neural networks,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Pansharp- ening via detail injection based convolutional neural networks,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:58.474316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:51.640454Z digest=sha256:aba9f9dca0b150805018689da499ece9f2ed6b294b478b54ea3c1a588ccee5d6

Observation 5cd391c4-4131-4e45-8f4b-b3ebae2d3f57 · outbound

This paper cites Super-resolution-guided progressive pansharpen- ing based on a deep convolutional neural network,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Super-resolution-guided progressive pansharpen- ing based on a deep convolutional neural network,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:58.320282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:51.739712Z digest=sha256:a62d12024186c329926dfa65d8c668a503a8ecf46448656318398007eaffd3c2

Observation 88f28798-bb8b-4e0b-a357-35a787014730 · outbound

This paper cites Awfln: An adaptive weighted feature learning network for pansharpening,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Awfln: An adaptive weighted feature learning network for pansharpening,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:58.126048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:51.856567Z digest=sha256:1a77ffaf226c1444e069054f3d69a025b5895be2a4d18750186d77c0ba61b459

Observation 4f3e17a4-e7e3-4213-a8d4-4652419f96ad · outbound

This paper cites Hypertransformer: A textural and spectral feature fusion transformer for pansharpening,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Hypertransformer: A textural and spectral feature fusion transformer for pansharpening,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:57.961240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:51.957703Z digest=sha256:d9026f7d64c434b1c85529bbb155e868984d3efc582c718d6b9c9653e5b696a4

Observation 02908f65-9a89-40e1-8ee6-a2a84e39ab5f · outbound

This paper cites Panformer: A transformer based model for pan-sharpening,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Panformer: A transformer based model for pan-sharpening,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:57.769678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:52.054382Z digest=sha256:4901fc353b63493f8663477bd012e32b8bd8b3a00a23a5fdee249cd54fe3f515

Observation a6630d77-0503-415d-b3c8-e802e7b350dd · outbound

This paper cites Fusformer: A transformer-based fusion network for hyperspectral im- age super-resolution,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Fusformer: A transformer-based fusion network for hyperspectral im- age super-resolution,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:57.636636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:52.184889Z digest=sha256:f5fbba1f4d0f0307cc700ab2793cb758e010a27858b3544dd301f1e7bb5b10e0

Observation 6a914dfd-70e4-4c0a-ba6e-a4e0ebfb17d1 · outbound

This paper cites Deep unfolding tensor rank minimization with generalized detail injection for pansharpening,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Deep unfolding tensor rank minimization with generalized detail injection for pansharpening,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:57.483945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:52.292808Z digest=sha256:636726d5ab431b76bcd14822917555f500127bdc4bc23d65edc8e56b8c7fadb6

Observation 6d08570e-23c4-4d30-ae08-6af816b95f4b · outbound

This paper cites Spatial-spectral dual back-projection network for pansharpening,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Spatial-spectral dual back-projection network for pansharpening,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:57.154130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:52.435191Z digest=sha256:e78cb736191992a27b1748196d64ae78ec26687eddf0493863a25bae7be498a2

Observation a4a3e4ea-c9ac-491e-9192-0bc4c8c8fc65 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T12:22:52.542723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:22:52.542723Z digest=sha256:d8504e489bb222c626a52146ddb109c6cd302732c325e88d6d16ff68f1799f1f

Observation 2db56f41-7e33-4d90-b99f-62440b29f6b4 · outbound

This paper cites Hyperspectral image joint super- resolution via local implicit spatial-spectral function learning,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Hyperspectral image joint super- resolution via local implicit spatial-spectral function learning,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:56.281581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:52.652038Z digest=sha256:c97c1f09cfe628faf5e975c6a798defb228306abc29c30e05fc5eaa2d5222ba3

Observation 094f4578-b3f3-4c17-bd95-edf1e21c8dd5 · outbound

This paper cites Proximal algorithms,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Proximal algorithms,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T12:22:52.763284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:22:52.763284Z digest=sha256:3e5aa60274bc10d2963bf4b75c2ef26d741372f0ec461e3d6c9eb3d0e780b637

Observation 1c45c2b9-db72-4afc-8c6f-748c35d855e0 · outbound

This paper cites An introduction to continuous optimization for imaging,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution An introduction to continuous optimization for imaging,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:56.043450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:52.865736Z digest=sha256:865e8c0501b02879e21c77ae321c63c8c1ddf0ff1be9eefa1d67a689535601f6

Observation 7a039a42-32c1-4c23-add2-c464446a850a · outbound

This paper cites Image super- resolution using very deep residual channel attention networks,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Image super- resolution using very deep residual channel attention networks,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:22:55.876792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:22:52.963009Z digest=sha256:60f6569f5a134c54e6fc2fa27920f54d88a28a76988622e8dfdbe718ef7c9905

Observation e66fdaa5-0c23-45ed-8576-b77fd785c886 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Adam: A Method for Stochastic Optimization

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T12:22:53.077447Z

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Observation a80b2dfb-ce7f-4ce5-8fd1-2591ff153b07 · outbound

This paper cites Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum,

Reference 69

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Observation 73b9042a-bff7-4528-8604-1902d430fdd3 · outbound

This paper cites Ntire 2020 challenge on spectral reconstruction from an rgb image,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Ntire 2020 challenge on spectral reconstruction from an rgb image,

Reference 70

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Observation 8ae26cd0-90c2-4500-964d-de47985fac2c · outbound

This paper cites Rabbani and P.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Rabbani and P

Reference 71

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Observation c22a53ea-6e10-475f-aaac-4517f2b4d8d6 · outbound

This paper cites A universal image quality index,.

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A universal image quality index,

Reference 72

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Pith citing papers

Observation 3540ce3c-99c3-4a91-a395-1d028b6a236e · inbound

Super-Resolution of Sentinel-2 Images Using a Geometry-Guided Back-Projection Network with Self-Attention cites this paper.

Super-Resolution of Sentinel-2 Images Using a Geometry-Guided Back-Projection Network with Self-Attention Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution

Reference 49

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local_arxiv, observed 2026-08-06T04:19:42.070868Z

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