Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:53.454895Z
Paper Citation Record · LEDGER
As of 8 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:53.454895Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T04:19:39.074493Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T04:19:42.000609Z
72 of 72 outbound references displayed
External citation measurements
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Observation 9e4d5563-93b2-4139-8fb1-4ebb0794eaf2 · outbound
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
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
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
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
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
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
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
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
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
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
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Multi-task interaction learning for spatiospectral image super-resolution,
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Observation dc120349-3c0e-47b7-8a93-b87a9d03330e · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Motion analysis for image enhancement: Res- olution, occlusion, and transparency,
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Observation 55337be9-9cd1-413d-898e-4047a89fb710 · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Robust super-resolution,
Reference 13
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Observation 5a112952-6865-42e4-bcbc-65915990e42c · outbound
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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Observation 16d1c105-63a1-4a2b-879a-eca25529da2c · outbound
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
Source-reported events for the cited work
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Observation 36f79f17-7fa5-426a-8947-d130110def98 · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution New edge-directed interpolation,
Reference 16
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Observation 4a820e12-8c21-4048-86e4-5c311c1ac8fd · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Cubic convolution interpolation for digital image processing,
Reference 17
Source-reported events for the cited work
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Observation e19da1a8-d500-43ac-ac8f-4a1d7f5d9b22 · outbound
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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Observation 36a129e8-40fb-415f-957b-0b31cfd894cc · outbound
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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Observation f160a453-8fad-44f8-955c-64fa77cb6153 · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Nonlocally centralized sparse representation for image restoration,
Reference 20
Source-reported events for the cited work
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Observation 319917fe-88ac-4c24-91b9-5c2e34e5c3e1 · outbound
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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Observation c3889fe1-6360-41e4-aa06-c2e94b7e8407 · outbound
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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Observation 3541fc9f-ef7d-400b-883a-f44660bcd379 · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Enhanced deep residual networks for single image super-resolution,
Reference 23
Source-reported events for the cited work
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Observation 0865372b-3d78-4b8b-b9d2-951236a77deb · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Densely connected convolutional networks,
Reference 24
Source-reported events for the cited work
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Observation 433f186d-10ac-4bf7-8d22-cd6c71d61683 · outbound
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
Source-reported events for the cited work
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Observation 60ca1bec-20a8-4596-a9b4-9feca69b5b36 · outbound
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
Source-reported events for the cited work
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Observation dd22dc7e-1df3-4675-932a-384f3bafc7d2 · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 27
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Observation b51074df-5aaa-4bbf-a1ea-5da9daa55200 · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Swinir: Image restoration using swin transformer,
Reference 28
Source-reported events for the cited work
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Observation f4dc16ab-540f-47bc-a818-43b3c4bfaec5 · outbound
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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Observation ed36b8f4-1fb1-4503-8b15-75c2960991b8 · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Hyperspectral image superresolution by transfer learning,
Reference 30
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Observation f659dde5-98d1-40b1-89fc-240e5f77d309 · outbound
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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Observation 63e80328-54fd-4846-9c4e-3d9c2ccf386d · outbound
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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Observation 73be9da8-e6a5-43de-b9b4-7381beeaa4dd · outbound
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
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Learned Spectral Super-Resolution
Reference 34
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Observation 36ce5d1e-8d69-4c1c-9993-ced8ebbdab97 · outbound
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
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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,
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Observation 68a9a05d-5b9e-4242-8bb2-50e2d8d7dcce · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Rgb to spectral reconstruction via learned basis functions and weights,
Reference 37
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Observation e78ffa4e-dda7-4845-bda2-91e046f237d0 · outbound
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
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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
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Observation 8ec2d99b-ac52-4420-90cd-2561e86fea8b · outbound
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,
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Observation ff702965-3369-4293-a4e5-08e6934fb8f1 · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Multispectral and hyperspectral image fusion in remote sensing: A survey,
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Observation b5ea7e8a-59ea-4f0e-be3f-039b5bf8272e · outbound
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
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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
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Observation 51f387c9-2eb1-449f-8c14-d815adc9601f · outbound
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
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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
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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
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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A wavelet based algorithm for pan sharpening landsat 7 imagery,
Reference 47
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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
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Reference 49
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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Pansharpening quality assessment using the modulation transfer functions of instruments,
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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A variational model for p+ xs image fusion,
Reference 51
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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A nonlocal variational model for pansharpening image fusion,
Reference 52
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Reference 53
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Reference 54
Source-reported events for the cited work
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Reference 55
Source-reported events for the cited work
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Reference 56
Source-reported events for the cited work
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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Awfln: An adaptive weighted feature learning network for pansharpening,
Reference 57
Source-reported events for the cited work
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Reference 58
Source-reported events for the cited work
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Observation 02908f65-9a89-40e1-8ee6-a2a84e39ab5f · outbound
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Reference 59
Source-reported events for the cited work
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Observation a6630d77-0503-415d-b3c8-e802e7b350dd · outbound
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
Source-reported events for the cited work
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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
Source-reported events for the cited work
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Observation 6d08570e-23c4-4d30-ae08-6af816b95f4b · outbound
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Spatial-spectral dual back-projection network for pansharpening,
Reference 62
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Reference 63
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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
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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Proximal algorithms,
Reference 65
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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution An introduction to continuous optimization for imaging,
Reference 66
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Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution Image super- resolution using very deep residual channel attention networks,
Reference 67
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Reference 68
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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
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
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
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution A universal image quality index,
Reference 72
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Observation 3540ce3c-99c3-4a91-a395-1d028b6a236e · inbound
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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