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Paper Citation Record · LEDGER

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1608.03981.

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

pith.paper-citation-record.v1
1608.03981 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:16:18.360661Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:16:18.789331Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fbf8e110-dbbd-4166-b83f-e4ff96ea5c9b · inbound

Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product cites this paper.

Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:16:18.798685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:16:18.360661Z digest=sha256:be3367a543150d0f0fdbb16d39e2abab7d49832dd5d42e147152a73df9d8ec3d

Observation 8cbf0774-f434-4b62-85c2-688dba7f76c0 · inbound

Small, Bias-Free, Blind and Convolutional Denoiser: A compact ConvNeXt U-Net for blind Gaussian color-image denoising cites this paper.

Small, Bias-Free, Blind and Convolutional Denoiser: A compact ConvNeXt U-Net for blind Gaussian color-image denoising Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T05:16:02.524215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T05:16:02.524215Z digest=sha256:a7395748be61c6e57bed8ba5108538e623c1fc5de5de0218df8f90b01d383f0d