Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:28:19.651918Z
Paper Citation Record · LEDGER
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters
As of 23 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.09923.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
13 of 13 outbound references displayed
- verified exact2
- verified fuzzy8
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 216af133-3df2-44e0-867b-1ebef24f80f0 · outbound
This paper cites Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:28:19.845931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5e62fdbf-cd54-4567-b1e3-2c2e83fd640a · outbound
This paper cites Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T04:28:19.707159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9f67323d-358a-455b-b094-057a0a386c8a · outbound
This paper cites Constructing an interpretable deep denoiser by unrolling graph Laplacian regularizer,.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Constructing an interpretable deep denoiser by unrolling graph Laplacian regularizer,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:28:19.833097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7337cc3b-667f-46a7-94b4-eecb1db4f238 · outbound
This paper cites Mixed graph signal analysis of joint image denoising / interpolation,.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Mixed graph signal analysis of joint image denoising / interpolation,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:28:19.817842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cefcce59-dd9f-4d69-9a9f-835d0a9f5bf9 · outbound
This paper cites an unresolved cited work.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:28:19.804335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 49a9cd50-228e-47ff-ba51-2dbcdf2bd19c · outbound
This paper cites The emerging field of signal processing on graphs,.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters The emerging field of signal processing on graphs,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:28:19.623538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 311abee5-ee66-4069-bb34-56342001c1b2 · outbound
This paper cites Wavelets on graphs via spectral graph theory,.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Wavelets on graphs via spectral graph theory,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:28:19.783521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e8d14313-8344-4ba7-bd4b-373181633794 · outbound
This paper cites Convolutional neural networks on graphs with fast localized spectral filtering,.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Convolutional neural networks on graphs with fast localized spectral filtering,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:28:19.771203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 42caa91f-47ec-4bed-9e2b-dbac3c6fe7ee · outbound
This paper cites Interpretable deep image denoiser by unrolling graph Laplacian regularizer,.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Interpretable deep image denoiser by unrolling graph Laplacian regularizer,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:28:19.759334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b120593e-cb0a-4a5b-a7d7-4e0fdc7e677c · outbound
This paper cites Deep Graph Laplacian Regularization for Robust Denoising of Real Images.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Deep Graph Laplacian Regularization for Robust Denoising of Real Images
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T04:28:19.689110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4e3d1975-0898-4a48-a0e4-a979152b6520 · outbound
This paper cites an unresolved cited work.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T04:28:19.745605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e71eef3d-dcbb-401a-96d1-ef9400174e9c · outbound
This paper cites Blind estimation of white Gaus- sian noise variance in highly textured images,.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Blind estimation of white Gaus- sian noise variance in highly textured images,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:28:19.733129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b3948444-e71f-4580-a88e-db858c96c05a · outbound
This paper cites Piecewise polynomial, positive definite and compactly supported radial func- tions of minimal degree,.
Unrolling a Graph-Laplacian Denoiser Realizes Only Compositions of Polynomial Graph Filters Piecewise polynomial, positive definite and compactly supported radial func- tions of minimal degree,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T04:28:19.719490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.