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Paper Citation Record · LEDGER

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models

As of 17 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2501.08195.

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

pith.paper-citation-record.v1
2501.08195 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:07.211684Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4ab235fa-3d1a-4d85-b565-3aa8385fc25a · outbound

This paper cites Hyperspectral push-broom microscope development and characterization.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Hyperspectral push-broom microscope development and characterization

Reference 1

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Observation 9647cf84-59ed-4127-915e-a8c7038fdb70 · outbound

This paper cites an unresolved cited work.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Unresolved cited work

Reference 2

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Source-reported events for the cited work

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Observation 5a8e25f6-d333-48c6-8347-70e40992a22f · outbound

This paper cites Fast hyperspectral image denoising and inpainting based on low-rank and sparse representations.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Fast hyperspectral image denoising and inpainting based on low-rank and sparse representations

Reference 3

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Observation 7d6b6ef1-5f7d-4668-91fa-f225d2a9a9d1 · outbound

This paper cites Tensor completion via complementary global, local, and nonlocal priors.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Tensor completion via complementary global, local, and nonlocal priors

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1c89fa12-43a9-4a09-b603-4fedae53c8a4 · outbound

This paper cites Tensor completion via collaborative sparse and low-rank transforms.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Tensor completion via collaborative sparse and low-rank transforms

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2bcaabb4-aa4b-4097-8fc3-d9850126fea5 · outbound

This paper cites Self-supervised nonlinear transform-based tensor nuclear norm for multi-dimensional image recovery.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Self-supervised nonlinear transform-based tensor nuclear norm for multi-dimensional image recovery

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dbe0cd06-a4cd-4893-86ee-7a48caa7e76e · outbound

This paper cites MPCT: Multiscale point cloud transformer with a residual network.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models MPCT: Multiscale point cloud transformer with a residual network

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2ed1ae54-5120-42a2-9060-1ea75cba96c3 · outbound

This paper cites EGST: Enhanced geometric structure transformer for point cloud registration.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models EGST: Enhanced geometric structure transformer for point cloud registration

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c9bd62cd-bd76-46c8-89d9-0161fd09a0fe · outbound

This paper cites HSI-IPNet: Hyperspectral imagery inpainting by deep learning with adaptive spectral extraction.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models HSI-IPNet: Hyperspectral imagery inpainting by deep learning with adaptive spectral extraction

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c22a3fe9-da67-4583-9e2d-0ad4d0b08b97 · outbound

This paper cites Deep image prior.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Deep image prior

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation afc367d8-8fcd-4225-81d9-ad2c2fd7fe29 · outbound

This paper cites Deep hyperspectral prior: Single-image denoising, inpainting, super-resolution.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Deep hyperspectral prior: Single-image denoising, inpainting, super-resolution

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2f11a7bf-0219-4ac8-890b-61a37c477cf9 · outbound

This paper cites Self-supervised neural networks for spectral snapshot compressive imaging.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Self-supervised neural networks for spectral snapshot compressive imaging

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8855726b-3128-49b9-b8ec-8a40bc6a3447 · outbound

This paper cites Deep Plug-and-Play Prior for Hyperspectral Image Restoration.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Deep Plug-and-Play Prior for Hyperspectral Image Restoration

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e39d5ee2-296f-4291-9dba-ea0abba77264 · outbound

This paper cites Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging

Reference 14

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local_arxiv, observed 2026-08-10T20:34:07.340803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 445fc733-1a93-44ad-a250-3036741a74ef · outbound

This paper cites Image reconstruction for mri using deep cnn priors trained without groundtruth.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Image reconstruction for mri using deep cnn priors trained without groundtruth

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3744b64b-4c01-47dd-88d7-ad0e49cbcac7 · outbound

This paper cites Robust Hyperspectral Inpainting via Low-Rank Regularized Untrained Convolutional Neural Network.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Robust Hyperspectral Inpainting via Low-Rank Regularized Untrained Convolutional Neural Network

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2451ea1a-da57-471b-9ff1-28793292e543 · outbound

This paper cites Decoupled-and-coupled networks: Self-supervised hyperspectral image super-resolution with subpixel fusion.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Decoupled-and-coupled networks: Self-supervised hyperspectral image super-resolution with subpixel fusion

Reference 17

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Observation af031d4f-e4e4-4cdc-bb1f-666269578d62 · outbound

This paper cites Cross-attention in coupled unmixing nets for unsupervised hyperspectral super-resolution.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Cross-attention in coupled unmixing nets for unsupervised hyperspectral super-resolution

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1cc8a27e-8bf3-435a-b4d7-df7f71b793ee · outbound

This paper cites Dds2m: Self-supervised denoising diffusion spatio-spectral model for hyperspectral image restoration.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Dds2m: Self-supervised denoising diffusion spatio-spectral model for hyperspectral image restoration

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b901fc8b-62fc-4ad4-8fe5-fc32b2f0be15 · outbound

This paper cites Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior

Reference 20

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 477d6dae-eff3-48c2-ab23-6d1f60cb6651 · outbound

This paper cites Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8cb17f50-491e-4161-8924-edb51d25cdae · outbound

This paper cites DeepRED: Deep image prior powered by RED.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models DeepRED: Deep image prior powered by RED

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2dc48996-2177-4bf3-91ff-3b45463c73e4 · outbound

This paper cites Image restoration using total variation regularized deep image prior.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Image restoration using total variation regularized deep image prior

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 27c48559-48b6-4426-931d-862bbf030b07 · outbound

This paper cites A plug-and-play deep image prior.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models A plug-and-play deep image prior

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 60deb71a-3cd4-4f9a-893e-e1d65309262a · outbound

This paper cites Hyperspectral image classification using dictionary-based sparse representation.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Hyperspectral image classification using dictionary-based sparse representation

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e3967c7c-db91-4600-94d3-1979a118a7b6 · outbound

This paper cites Hyperspectral image restoration using low-rank matrix recovery.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Hyperspectral image restoration using low-rank matrix recovery

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 2026-08-16T06:30:59.297886+00:00.

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Observation 95afb210-ec5f-41e3-bbfd-a2e9cfd02de2 · outbound

This paper cites LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 633f6c43-8cf6-4836-baf6-d015ef48cf73 · outbound

This paper cites Online dictionary learning for sparse coding.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Online dictionary learning for sparse coding

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 38bd4a97-2be2-4a4c-9c49-1b67e5eebc2c · outbound

This paper cites Self-paced joint sparse representation for the classification of hyperspectral images.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Self-paced joint sparse representation for the classification of hyperspectral images

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.727250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4e2eb386-146f-4126-887b-a1cdbec55aa4 · outbound

This paper cites Hyperspectral image denoising via sparse representation and low-rank constraint.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Hyperspectral image denoising via sparse representation and low-rank constraint

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.713124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9d2effac-781a-40af-bf53-3740d87d71ce · outbound

This paper cites Sparse unmixing of hyperspectral data.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Sparse unmixing of hyperspectral data

Reference 31

Resolution
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raw_fallback, observed 2026-08-10T20:34:07.698767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3ae10072-48ab-4e6e-b0d3-e239339580fc · outbound

This paper cites Joint spatial and spectral low-rank regularization for hyperspectral image denoising.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Joint spatial and spectral low-rank regularization for hyperspectral image denoising

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.683122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.099297Z digest=sha256:9f4dbf76bee6bc682d252cfc2eae4ccbb02e6638d6ee634c3b1a579652d0588e

Observation 966dbe4c-c922-445b-a2bc-05667299adb4 · outbound

This paper cites Local low-rank and sparse representation for hyperspectral image denoising.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Local low-rank and sparse representation for hyperspectral image denoising

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.666742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.104067Z digest=sha256:72389a28dbd8617ffa11ceb7a6c1f5881d62768d45413819d1a944a53ca331e0

Observation 876728b8-9d4d-4bd8-8473-dae4081d495f · outbound

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

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.652373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.108678Z digest=sha256:af9e51022341df2ff6fe5b63c4b4c890364565034002b735ecefc9f4c9737d82

Observation f17f1958-e350-4b9d-9e8e-4327452faed4 · outbound

This paper cites Proximal algorithms.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Proximal algorithms

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.637272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.112536Z digest=sha256:321a186109329ff31c57fb09a320e21eae0a340aedccea8679d4d1da80b8270d

Observation 5de1229e-30c9-457b-8bcb-fa3139c68f51 · outbound

This paper cites Plug-and-play priors for model based reconstruction.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Plug-and-play priors for model based reconstruction

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.622028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.116075Z digest=sha256:1dbc7b836e4a62bffb99083b4a3a2077c848637461c17fef952883d5f6c4ed62

Observation 11220a2b-122a-49d0-9407-23159c313329 · outbound

This paper cites An iterative thresholding algorithm for linear inverse problems with a sparsity constraint.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.607035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.120401Z digest=sha256:a5e2a8ae53a5423498c2af6ef3fdd4fd135ca535ceb4dcef740901a955711443

Observation 2934cd09-7086-483e-ab05-29cc96097921 · outbound

This paper cites A singular value thresholding algorithm for matrix completion.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models A singular value thresholding algorithm for matrix completion

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.591688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.124816Z digest=sha256:93c5d01375e4e611f216a4cf439060bf809f09396ece766f82268f1f8fdf5fc6

Observation cbf2b935-208d-495a-b267-8c079e5aebec · outbound

This paper cites Plug-and-play priors for bright field electron tomography and sparse interpolation.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Plug-and-play priors for bright field electron tomography and sparse interpolation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.576051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.129253Z digest=sha256:3f93712e0f6f610fc6316d61245a3031845b2bb65bcdb68f9ef206eeec626c65

Observation cee8f81c-934b-4d39-8238-a4106c4573d7 · outbound

This paper cites Fixed-point and objective convergence of plug-and-play algorithms.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Fixed-point and objective convergence of plug-and-play algorithms

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.560184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.133561Z digest=sha256:2228112b73c8deb4715d7fa35b1efeefe8c1d119fe78e764a6283332e6cfe817

Observation 9356deae-c27b-402e-b27b-5b135314a242 · outbound

This paper cites Convex Analysis and Variational Problems; SIAM: Philadelphia, PA, USA, 1999.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Convex Analysis and Variational Problems; SIAM: Philadelphia, PA, USA, 1999

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.545122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.137920Z digest=sha256:75ff07c0fca2f6e1e5cf26a9a4f7413ab7b42ba2d71aeec53a2efd5065d3cdc3

Observation a456b366-0940-4269-9f2e-580ad18f6543 · outbound

This paper cites Plug-and-play methods provably converge with properly trained denoisers.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Plug-and-play methods provably converge with properly trained denoisers

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.531648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.142670Z digest=sha256:722191f7caf57445d9c6fbe7946ee4c85075e8ac2da8f6be2a699ecb89ff2c0b

Observation d5d189bb-0643-415d-9a3d-ae0ecb51a231 · outbound

This paper cites Airborne Hyperspectral Data over Chikusei; SAL-2016-05-27; University of Tokyo: Tokyo, Japan, 2016.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Airborne Hyperspectral Data over Chikusei; SAL-2016-05-27; University of Tokyo: Tokyo, Japan, 2016

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.517042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.146913Z digest=sha256:cea398e653b44dd103e3799a8b965df065abd9cc4494cc815fc51c09aa715bbc

Observation 645825e5-078a-4ae0-a182-287dfe301f2f · outbound

This paper cites 220 band AVIRIS hyperspectral image data set: June 12, 1992 Indian Pine test site 3.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models 220 band AVIRIS hyperspectral image data set: June 12, 1992 Indian Pine test site 3

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.502311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.151432Z digest=sha256:520c64e1246111191c9d8cc7a02706b740ce3a2bcc00633dc207f23cbc136c10

Observation 41951281-fba9-49d6-90a4-ac32fd3f8397 · outbound

This paper cites Orbital edge computing: Nanosatellite constellations as a new class of computer system.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Orbital edge computing: Nanosatellite constellations as a new class of computer system

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.487674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.155607Z digest=sha256:d2d03236ccb1b3f1585b6178080171df709218c31d0c6413e7ebfdd8a96ea821

Observation 48374242-7f70-4453-9996-fd8901fe0273 · outbound

This paper cites Regularisation of neural networks by enforcing lipschitz continuity.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Regularisation of neural networks by enforcing lipschitz continuity

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.471186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.159776Z digest=sha256:712ad1496b0d641940aa9e20756196b23c2384ac2118487b835db217173beb61

Observation 07b99111-f88d-4df4-9fa6-4d222cebb16f · outbound

This paper cites Early Stopping for Deep Image Prior.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Early Stopping for Deep Image Prior

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:07.164201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:07.164201Z digest=sha256:4b509b03f61a52a18e888a354af6ec9d7880fc41982e5d360dd63a2d196a12b6

Observation f02174a9-ac92-4412-a7fc-80fb5da6d979 · outbound

This paper cites Deep sparse and low-rank prior for hyperspectral image denoising.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Deep sparse and low-rank prior for hyperspectral image denoising

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.455319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.169168Z digest=sha256:cf07db4bceb8e4d8775d10621226e3eae6ac26e68d6027227c6e94b0acd79ca2

Observation a80c42f3-c432-4ba0-b371-89342c5167a7 · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Spectral Normalization for Generative Adversarial Networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:07.173310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:07.173310Z digest=sha256:91e20edacb21b0611b42249298190f7a7fc44b87d3a24da847e598e025da6f66

Observation 4271d2c1-d062-43c7-a0c2-099b99c5ddd1 · outbound

This paper cites Unsupervised deep hyperspectral inpainting using a new mixing model.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Unsupervised deep hyperspectral inpainting using a new mixing model

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.440074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.179019Z digest=sha256:7cfe1299c11b519719fbfaceb3b43d26537e41f0719734fb0d1fd7c2a259d4ad

Observation 3c5ee7ce-dbe5-4001-aba0-2c3df5a23ad7 · outbound

This paper cites A single model CNN for hyperspectral image denoising.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models A single model CNN for hyperspectral image denoising

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.423633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.183749Z digest=sha256:7d23fe25ebaa3f10631e6f8eeb93b363dbdba8a66dd8794c0d4cdf6721c5e4a9

Observation 7df40dcc-4497-44f0-98d7-bfe71bcaa59c · outbound

This paper cites Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:34:07.269873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.189080Z digest=sha256:8584ff107c2dca86fdfc90428f27e4e57e8389a7ae021f21b4295826883ae978

Observation fd72699a-5445-4f52-b4e6-b6c504f76987 · outbound

This paper cites Transformer meets remote sensing video detection and tracking: A comprehensive survey.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Transformer meets remote sensing video detection and tracking: A comprehensive survey

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.404863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.194599Z digest=sha256:e152d98a89798d912c65e891f030be7ae45abfe3262de2609d591334e29eb42c

Observation b78c67f3-ec40-4086-b692-6accae642447 · outbound

This paper cites Lyapunov stability theory of nonsmooth systems.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Lyapunov stability theory of nonsmooth systems

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.388864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.199424Z digest=sha256:c6fef5311d9c79c0146a7322136db82f3f94cfa716dda3e29611374fc048c544

Observation 8b9dd282-d386-4062-9cd0-8e9e66c1e19c · outbound

This paper cites Lyapunov Theory for Discrete Time Systems.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models Lyapunov Theory for Discrete Time Systems

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:07.203973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:07.203973Z digest=sha256:b0d2d877cef51a51cd063f0ce7994c727cdeacbfee31385a0f18ab738c4a8009

Observation dd4d42f6-6e9e-4831-b1e4-13e38510ae46 · outbound

This paper cites The stability of nonlinear dissipative systems.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models The stability of nonlinear dissipative systems

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.373304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.208357Z digest=sha256:706b662a65dface8c88b20a868bd9dc5d22781d0873dc1c47ed83af1621b5eaa

Observation 760fce6b-682d-4116-b8f3-672e8e7bf1e0 · outbound

This paper cites A fundamental proof of convergence of alternating direction method of multipliers for weakly convex optimization.

Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models A fundamental proof of convergence of alternating direction method of multipliers for weakly convex optimization

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.357781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:34:07.211684Z digest=sha256:8157272b618af6994e83906c1afc446cd8afcdb1ae0f458d9e260def67687c4b

Pith citing papers

No inbound Pith citation observations are available.