Pith. sign in

Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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

  • verified exact2
  • verified fuzzy50
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:08.124179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.954405Z digest=sha256:6e20cf4008e1ab7711a695bacd43af65403964d6f669693e39e822752f408e39

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

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:34:08.108679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.959516Z digest=sha256:cab37bcca1a51f23a5760acd76e2326bbc61b4b9bdd7f25755ec651efe31dee5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:08.092697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.964741Z digest=sha256:51857ef88c19f7b2c8534533908adf7ad8475c60f67dfcb97d17085a14ece473

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:08.076076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.969600Z digest=sha256:81a5d835a5371ef3ad64f8d9015eac28ea5d8eba655e2f4ee26a0b8cbc4cdac2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:08.060965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.974019Z digest=sha256:82f273aa135f92e1c18ed6f619bad9883b07bca338bfb34aef5b25da232431be

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:08.046515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.978610Z digest=sha256:3ba11913f699f62d5079796a6c97117a6db9f9046ae30c780865ec2d51101a87

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:08.032327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.983498Z digest=sha256:4a651d0c979e8e30496d8a4a36aacf84181b567dac7c684a5cd482edfe3b5ac2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:08.017282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.987312Z digest=sha256:9c0635076cf8faa0a5670c0e6102b7438b2e60cfb40a346190a5b895203009f7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:08.000211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.991867Z digest=sha256:4ecf061da49de733f7a9ed1203a84cdd782ac5042d343d08d84f07f7bd4bd5af

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.984832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:06.996550Z digest=sha256:b7798e3172ea8da5e3fa93c0cdaf84048e5a0d7bb714c417941a389c9e6caff1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.969969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.000947Z digest=sha256:d668a45028a824a8347a729108011442d0c25540ad116af8e84ac24974fe1959

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.954724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.005576Z digest=sha256:11a2877e4f4d3a62c7300f9edecb24e84c3a64b0376e7ad9ab257982d7bbac38

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.938817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.009849Z digest=sha256:2ae9b28d9441ec05e0b5e4f3ad2af65212c8ec4182bb48adc1cfec07d4630043

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

Resolution
verified exact
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.014076Z digest=sha256:833b3135cda166b3f81a32d3959d51c46ca45c040c52ed8dd8ac7b1d727a74f2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.922526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.020017Z digest=sha256:62c73c34d12314aee0ff9a7e5ea694f1c47bd1295de180d30e34042b1165c9b8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.907720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.024077Z digest=sha256:5f8c8f930300b174a7a449e6a3e796eeefc1e1afa32fbb677173de69e900e845

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.892141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.028698Z digest=sha256:c9b646bb7499f4737715e2193be1031dd545e84927b7c2b34bfbaabc28e8357c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.877209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.033764Z digest=sha256:1f5d909e0e3199f61ea1e570a03353f8b5835523b5ba258b334def10340e07c5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.861359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.038060Z digest=sha256:0b7de979ec7eac966d028dc49b1b43e1ee530da3fc26d82e936f1173bc459843

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.846546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.043300Z digest=sha256:1d6d2d08292dabb1d430b6e40e82182048465813b452875637eca4a366f2e306

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:34:07.047975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:07.047975Z digest=sha256:35c7dcd83f86549aa1a3faf343e20e12d866311c67d3dd975a53a2fc5accd3ac

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.833078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.053376Z digest=sha256:98d2abd883c0154e1cc73749a138ee30c35dae207d130c9253251eb26b382131

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.816945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.057692Z digest=sha256:81a131160593472b410f90adcce8c6c83521ad1916662b54ea3404cefeeb836d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.799634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.061826Z digest=sha256:dc09d14280a5692168611025ed87139578426d20872a39a8f3f2b6ee9cfb080f

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
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.784919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.066694Z digest=sha256:2149e30a09661c536d435d35b4b421df073b8524e1966a9041469b57c5e5fd3a

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
raw_fallback, observed 2026-08-10T20:34:07.770468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.071785Z digest=sha256:023e707168f78ac14e802fb686c1687e75cd927e74ba8ff4e95b7f9e5845b1e3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.756250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.076213Z digest=sha256:5d154a454fce664e7eaf1afcdffbdd4b81d4da9414f6b25f2f1d8da18f79496a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:07.741949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.081027Z digest=sha256:f0cd613f72fb73bb5538cd043b38839fb34f459aa4feb20df3e93f7b61189f13

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.086053Z digest=sha256:31629b21ac7ab48e2eb6c8e6d2c47e8e6f861a5fdd92b8d251fe599df31798a1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.090446Z digest=sha256:e8867f2c184af5bb06a1d3ca1900e3725e82f622e1115c5600372d53b7d4a24c

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
verified fuzzy
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.094505Z digest=sha256:c5243e828b283668b746a9657a19d7fbf2d4cd8bbb7616f21d7c7e196a977626

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.099297Z digest=sha256:869d8e7c2b92c038764b773cd5a59c8de9b2f9e3e81f8f7b0f2ceca08ddbe7e6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.104067Z digest=sha256:406340f574c92b783d5fe2997c657adfe4e0b5d9f306b2061d890143b649e045

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.108678Z digest=sha256:fca9f3f63d981133570238b5e60f8760c3dbabbe4be0fa4491797201e0dab47f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.112536Z digest=sha256:c3766153d1e60739b5be9bdd8b3a61e6cb3a103408a1f5221696d6a3df7c0763

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.116075Z digest=sha256:b6a744e27524666310b598a5221b010aeceb468486437b5974779452900fff7b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.120401Z digest=sha256:9c5f6f9120c223741db4dd548ea8c2abfe493d83d552ecb43103d760172c771a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.124816Z digest=sha256:ddbfc722ead2d0f40ba0ed9c0386b0acdb08cdf4a9cc5e8fee5994b246e7b461

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.129253Z digest=sha256:8fb007bcca5ad45774e574369ec4c3978c30e357133f53ba0ede1bd630b623c6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.133561Z digest=sha256:443e895de1076f45a10880468498f8da249f6ca6f5ad20d4e23ac4a8088c1d0a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.137920Z digest=sha256:15dd720d7a548169a612a30f9c48fcaa927878c9769ff35571b5a8d2fde3d4ec

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.142670Z digest=sha256:123c31a0d234d66faf10c7debe5b1b35d49070260f3e37ecbb76023c1a011677

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.146913Z digest=sha256:71b4df32f64232961e2918d733a458339612c6d877d4c9d3308e1631e6619e00

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.151432Z digest=sha256:737aecb1f24601fbb0a2b6a02fa9617b7520051a91254677d8a9cb25fe1a404a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.155607Z digest=sha256:1e85d2d71bf1ec5a824d7a02a639af23b4ce9f2afb0c93c87b0536331cebfee1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.159776Z digest=sha256:b0b2b228a3f27ed922acd09bc868585b24109f101dd18449336401056f1c859e

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=sha256:98dc2da766228626479679fb33eff2efffd4e41df3e017fe36d2a361a0c2a9d5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.169168Z digest=sha256:7203b5dceffa5bdedecc9e820526126dec544b0f9fae4c5fbe5bf93969906055

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.179019Z digest=sha256:1fec377ebb863b89d3e3532c63d3e641d2d2b85f0d8f9af5dc11f563c782cb6e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.183749Z digest=sha256:c30f83770ab11b042be3fca3d97c8a950ccd049f922e6f7c59c3634c4a9b4118

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.189080Z digest=sha256:c82195f646e87bbbe685257f5663fb9003dfe7d7769c606cd1fa19c84a99a1dd

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.194599Z digest=sha256:9c6fbc3be8191c11b9e322f3a8ae821243c49703ccbef993bebebb9f94425bc0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.199424Z digest=sha256:b0409946bb112aac766bb9b078ac9cd0c952c4ae3123892e916679f99d870783

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.208357Z digest=sha256:2829e4a9634a9d065326df4b61d2c6cd6b354f5872451c15402de3ce592d6d95

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:34:07.211684Z digest=sha256:0f9e56ee5af385e4a0c7801e05c35d084c7422c73c0eb0669153095a4a2f989e

Pith citing papers

No inbound Pith citation observations are available.