Paper Citation Record · LEDGER

GSNR: Graph Smooth Null-Space Representation for Inverse Problems

As of 6 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2602.20328.

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

pith.paper-citation-record.v1
2602.20328 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T20:15:41.939673Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T14:26:58.288381Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T14:27:24.088217Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy52
unresolved4
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b95ebbe0-8ab2-4466-93c6-05f8e66d87fb · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.318423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bb93e460-6307-435e-8ded-643991f96d32 · outbound

This paper cites Computed tomography reconstruction using deep image prior and learned reconstruction methods.Inverse Problems, 36(9):094004.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Computed tomography reconstruction using deep image prior and learned reconstruction methods.Inverse Problems, 36(9):094004

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.311603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5a30c29d-a3d6-4037-9a6e-134e13017b0f · outbound

This paper cites Color imaging array.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Color imaging array

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.307976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 638d736b-8527-476e-8668-68019598d5ae · outbound

This paper cites Modern regularization methods for inverse problems.Acta numerica, 27:1–111.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Modern regularization methods for inverse problems.Acta numerica, 27:1–111

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.322695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b7b67a1d-e701-426d-84f7-b1c8abac3618 · outbound

This paper cites an unresolved cited work.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-15T20:16:35.315104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ab021f8f-2b9c-4a99-aa0a-7864f31d18d1 · outbound

This paper cites Plug- and-play admm for image restoration: Fixed-point conver- gence and applications.IEEE Transactions on Computa- tional Imaging, 3(1):84–98.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Plug- and-play admm for image restoration: Fixed-point conver- gence and applications.IEEE Transactions on Computa- tional Imaging, 3(1):84–98

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.297711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e6872666-e2c1-426d-9fec-c5fcfc30646f · outbound

This paper cites Deep decomposition learning for inverse imaging problems.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Deep decomposition learning for inverse imaging problems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.288093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e0e13699-9f3c-4f28-bb4e-762fc4961009 · outbound

This paper cites an unresolved cited work.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Unresolved cited work

Reference 8

Resolution: parse uncertain; raw_fallback, observed 2026-05-15T20:16:35.294356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb6353e2-5480-4ea0-8922-036ba2a3f103 · outbound

This paper cites Diffusion pos- terior sampling for general noisy inverse problems.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Diffusion pos- terior sampling for general noisy inverse problems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.267766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3a9d97ab-ffbc-4665-8cf9-5305c54494ac · outbound

This paper cites Regu- larization by denoising via fixed-point projection (red-pro).

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Regu- larization by denoising via fixed-point projection (red-pro)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.275700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18a35b3e-54d7-4c61-98fe-38d7e00c4331 · outbound

This paper cites AdaIR: Adap- tive all-in-one image restoration via frequency mining and modulation.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems AdaIR: Adap- tive all-in-one image restoration via frequency mining and modulation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.264549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d07a7d41-348c-45ee-b8c1-25b04e41933e · outbound

This paper cites Sar image despeckling by deep neural networks: from a pre-trained model to an end-to-end training strategy.Remote Sensing, 12(16).

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Sar image despeckling by deep neural networks: from a pre-trained model to an end-to-end training strategy.Remote Sensing, 12(16)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.301344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf273433-a4e4-4fe1-8279-1e66401d8b50 · outbound

This paper cites an unresolved cited work.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-15T20:16:35.304581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b1a65e46-58ab-4524-9f00-b81862a8043e · outbound

This paper cites Ideal spatial adapta- tion by wavelet shrinkage.Biometrika, 81(3):425–455.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Ideal spatial adapta- tion by wavelet shrinkage.Biometrika, 81(3):425–455

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.254735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3a576f65-1120-4c61-9d48-fc640fe1cf70 · outbound

This paper cites Pseudo- invertible neural networks.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Pseudo- invertible neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.257975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0afc366-4637-4c54-9db5-167dddb6a40e · outbound

This paper cites Manifold preserving guided diffusion.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Manifold preserving guided diffusion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.248849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f99aef95-21b7-4efa-9448-2cf6bb55cd28 · outbound

This paper cites A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal de- noiser.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal de- noiser

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.251287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ab3d0af8-9635-4c84-8dd0-42d51a0d515c · outbound

This paper cites NPN: Non-Linear Projec- tions of the Null-Space for Imaging Inverse Problems.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems NPN: Non-Linear Projec- tions of the Null-Space for Imaging Inverse Problems

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.261452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e9610fb7-1ccb-4556-abf5-b0ee3fdced91 · outbound

This paper cites an unresolved cited work.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-15T20:16:35.270113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e9f95f7b-ee0a-408b-935b-f3bae13acaf8 · outbound

This paper cites How to learn a graph from smooth sig- nals.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems How to learn a graph from smooth sig- nals

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.278558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 534f8a3c-8cf8-4a58-bd32-2eb678256817 · outbound

This paper cites Kamilov, Charles A.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Kamilov, Charles A

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.241498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd3595de-cb07-4bcc-a681-8ae5b3bac4db · outbound

This paper cites Adam: a method for stochastic opti- mization.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Adam: a method for stochastic opti- mization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.236377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61348bec-2aed-4fd5-a6df-6003ad5d98af · outbound

This paper cites Efficient visual state space model for image deblurring.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Efficient visual state space model for image deblurring

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.239015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2b9c52cf-5fa6-4fa1-b3dc-8593323e62c6 · outbound

This paper cites Krizhevsky.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Krizhevsky

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.243693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 32e736f7-e07a-40d6-a994-75377a1738f2 · outbound

This paper cites ARPACK users’ guide: solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems ARPACK users’ guide: solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.221938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba1b1431-78fd-4609-9afa-04d9d7ce5a88 · outbound

This paper cites Deep learning face attributes in the wild.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Deep learning face attributes in the wild

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.224916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6fc522e8-50e6-4bff-98c4-ed5658ae9734 · outbound

This paper cites Compressed sensing mri.IEEE signal pro- cessing magazine, 25(2):72–82.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Compressed sensing mri.IEEE signal pro- cessing magazine, 25(2):72–82

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.227893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d1867b3f-fee3-4c32-a191-492ca39d057d · outbound

This paper cites Denoising: a powerful building block for imaging, inverse problems and machine learning.Philosophical Transactions A, 383(2299): 20240326.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Denoising: a powerful building block for imaging, inverse problems and machine learning.Philosophical Transactions A, 383(2299): 20240326

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.231010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d40ccd58-2bf3-4602-ad90-cd09f01cfb8e · outbound

This paper cites Graph-wavelet filterbanks for edge-aware image processing.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Graph-wavelet filterbanks for edge-aware image processing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.211484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 679bb8e4-313e-498b-a0a6-5f55a27c25e8 · outbound

This paper cites Graph signal processing: Overview, challenges, and applications.Proceedings of the IEEE, 106(5):808–828.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Graph signal processing: Overview, challenges, and applications.Proceedings of the IEEE, 106(5):808–828

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.215212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c4969d7-2a26-40dc-ae32-3d9e5a25821d · outbound

This paper cites Proximal algorithms.Foun- dations and Trends in Optimization, 1(3):127–239.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Proximal algorithms.Foun- dations and Trends in Optimization, 1(3):127–239

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.204850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5d707e9f-8966-40db-a882-2de97ddaf320 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Pytorch: An imperative style, high-performance deep learning library

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.198356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a747684-9820-42a8-96a8-9f6683f620af · outbound

This paper cites Non-local regularization of inverse problems.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Non-local regularization of inverse problems

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.201498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b1944b87-f6a6-4dc5-bad6-489c04cdf77a · outbound

This paper cites Plug and play augmented hqs: Convergence analysis and its application in mri reconstruction.Neuro- computing, 518:1–14.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Plug and play augmented hqs: Convergence analysis and its application in mri reconstruction.Neuro- computing, 518:1–14

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.208284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc108b48-59b8-4a80-b643-c90ac1da005b · outbound

This paper cites Regularization by denoising: Clarifications and new interpretations.IEEE transactions on computational imaging, 5(1):52–67.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Regularization by denoising: Clarifications and new interpretations.IEEE transactions on computational imaging, 5(1):52–67

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.218771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7394b5bc-60d9-4b1b-9464-0cf0e619593c · outbound

This paper cites The little engine that could: Regularization by denoising (red).

GSNR: Graph Smooth Null-Space Representation for Inverse Problems The little engine that could: Regularization by denoising (red)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.246100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28cf2223-3fb2-431f-8b84-3c625d7786fc · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems High-resolution image synthesis with latent diffusion models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.273200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e975732-9a98-4818-ba2a-839ac64addf4 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems U- net: Convolutional networks for biomedical image segmen- tation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.284761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f7e14df-09dd-4d6d-a683-b606a2bb754f · outbound

This paper cites Rudin, Stanley Osher, and Emad Fatemi.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Rudin, Stanley Osher, and Emad Fatemi

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.233917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 055c7fd8-1d9f-48bb-9659-eae37a0d9d23 · outbound

This paper cites Chapman and Hall/CRC.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Chapman and Hall/CRC

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.291199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e8ab251-fa68-4ce6-b8ab-71351b8001e9 · outbound

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

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Plug-and-play methods provably converge with properly trained denoisers

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.188594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a5d15ebe-29b6-4242-86b3-44ca25ec5649 · outbound

This paper cites Deep null space learning for inverse problems: convergence analysis and rates.Inverse Problems, 35(2): 025008.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Deep null space learning for inverse problems: convergence analysis and rates.Inverse Problems, 35(2): 025008

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.191617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5130d5d-2fc3-4e5f-b63c-e84b419f3e09 · outbound

This paper cites an unresolved cited work.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-15T20:16:35.178556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2d6a9b84-d0a5-491d-b525-f2da22230647 · outbound

This paper cites Liaudat, Maxime Song, Johannes Hertrich, Se- bastian Neumayer, and Georg Schramm.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Liaudat, Maxime Song, Johannes Hertrich, Se- bastian Neumayer, and Georg Schramm

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.182148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a1ee0f8f-50b4-4a0f-b888-fa5c4c5b66b0 · outbound

This paper cites Solv- ing imaging inverse problems using plug-and-play denoisers: Regularization and optimization perspectives.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Solv- ing imaging inverse problems using plug-and-play denoisers: Regularization and optimization perspectives

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.185247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2703a22f-7418-480d-901a-a619c4b9efc8 · outbound

This paper cites Equivariant plug-and-play image reconstruc- tion.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Equivariant plug-and-play image reconstruc- tion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.175601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3cc81163-d637-461c-8043-a7ec94d1f57e · outbound

This paper cites A survey on super-resolution imaging.Signal, Image and Video Processing, 5:329–342.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems A survey on super-resolution imaging.Signal, Image and Video Processing, 5:329–342

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.145716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8068bf88-6e48-4bef-9158-f7c69da9fef8 · outbound

This paper cites Degradation-aware feature perturbation for all-in- one image restoration.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Degradation-aware feature perturbation for all-in- one image restoration

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.194774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5dcddcd2-7259-4dd7-99db-e8ba7e8e3ef8 · outbound

This paper cites Venkatakrishnan, Charles A.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Venkatakrishnan, Charles A

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.165940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ff97c09-37ce-4b83-ac87-0d528e2dd6b1 · outbound

This paper cites Hyperspectral image reconstruction using a deep spatial-spectral prior.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Hyperspectral image reconstruction using a deep spatial-spectral prior

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.169128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4bdd0f62-a29c-4d2a-a1cd-50653ce3415f · outbound

This paper cites Fista-net: Learning a fast iterative shrinkage thresholding network for inverse problems in imaging.IEEE Transactions on Medical Imaging, 40(5):1329–1339.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Fista-net: Learning a fast iterative shrinkage thresholding network for inverse problems in imaging.IEEE Transactions on Medical Imaging, 40(5):1329–1339

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.172133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c5a97f05-340e-48a2-90f9-4da23929084c · outbound

This paper cites Generative image inpainting with con- textual attention.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Generative image inpainting with con- textual attention

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.281807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 78d89bf6-9140-4be2-a8a7-e51a690be7a9 · outbound

This paper cites Plug-and-play image restora- tion with deep denoiser prior.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 44(10):6360–6376.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Plug-and-play image restora- tion with deep denoiser prior.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 44(10):6360–6376

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.157051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5591c519-0e83-46c2-8bc3-8cb535d79048 · outbound

This paper cites Deep image deblurring: A survey.International Journal of Com- puter Vision, 130(9):2103–2130.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Deep image deblurring: A survey.International Journal of Com- puter Vision, 130(9):2103–2130

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.154212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d36f61d-74c4-4465-92c0-8ebbf11ec3be · outbound

This paper cites Places: A 10 million image database for scene recognition.IEEE Transactions on Pattern Analy- sis and Machine Intelligence.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Places: A 10 million image database for scene recognition.IEEE Transactions on Pattern Analy- sis and Machine Intelligence

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.159749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 69dcf35a-c305-4e00-bba1-894388bc44ba · outbound

This paper cites Denoising dif- fusion models for plug-and-play image restoration.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Denoising dif- fusion models for plug-and-play image restoration

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.162692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 19a45b84-e8ff-4a48-a896-e6c842bcb181 · outbound

This paper cites Consider measurements from(1)and denote Cy :=HC rrH⊤ +σ 2Im.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Consider measurements from(1)and denote Cy :=HC rrH⊤ +σ 2Im

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:16:35.151719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0ac5970-7ab1-4b13-8c9d-00f0fab4373b · outbound

This paper cites an unresolved cited work.

GSNR: Graph Smooth Null-Space Representation for Inverse Problems Unresolved cited work

Reference 58

Resolution: malformed identifier; raw_fallback, observed 2026-05-15T20:16:35.148515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 7762a3c0-2f8b-4de4-ba72-39de1165670f · inbound

DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems cites this paper.

DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems GSNR: Graph Smooth Null-Space Representation for Inverse Problems

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:27:24.089595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.