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Paper Citation Record · LEDGER

A Review Paper: Noise Models in Digital Image Processing

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1505.03489.

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

pith.paper-citation-record.v1
1505.03489 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:47.972733Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T13:13:27.183120Z

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 64808b8d-2d1f-45c2-9070-bf2520e1c64c · inbound

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements cites this paper.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements A Review Paper: Noise Models in Digital Image Processing

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:47.972733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:47.972733Z digest=sha256:1d75a4996a2634b7b85b249037826057560cc14f86e625afa76c4ffc23e4b013

Observation f74dd2b6-dd38-4e91-a1de-e431ab545df2 · inbound

Optimisation of amplification and gas mixture for directional Dark Matter searches with the CYGNO/INITIUM project cites this paper.

Optimisation of amplification and gas mixture for directional Dark Matter searches with the CYGNO/INITIUM project A Review Paper: Noise Models in Digital Image Processing

Reference 206

Resolution
unresolved
no resolver link, observed 2026-08-06T20:34:29.380129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:34:29.380129Z digest=sha256:e2cf38641eece7953c4911029188edd0494dfb3d4b82d7770e9f6957e53b5ad9

Observation 864ae383-443f-4095-9dee-30e06a9d738f · inbound

Deep Feature-specific Imaging cites this paper.

Deep Feature-specific Imaging A Review Paper: Noise Models in Digital Image Processing

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-19T01:36:58.601863Z

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.

source=pdf_text observed=2026-05-19T01:35:04.808027Z digest=sha256:76e26de6e9d24199d60081ebf5888efda7e3b96cfa8957ce35d98648253b688c

Observation 1c929aaa-fe95-4e36-95a2-e0a50c549be8 · inbound

Machine Learning Enhanced Laser Spectroscopy for Multi-Species Gas Detection in Complex and Harsh Environments cites this paper.

Machine Learning Enhanced Laser Spectroscopy for Multi-Species Gas Detection in Complex and Harsh Environments A Review Paper: Noise Models in Digital Image Processing

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:10.333301Z

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.

source=pdf_text observed=2026-05-09T18:33:03.300592Z digest=sha256:b529bb71393f42196da9cc33b25bec326f93da9eecac969cbde5adbf133268a0

Observation 443d6a99-2856-4bba-be48-000775e4a055 · inbound

A Multiscale Kinetic Framework for Image Segmentation: From Particle Systems to Continuum Models cites this paper.

A Multiscale Kinetic Framework for Image Segmentation: From Particle Systems to Continuum Models A Review Paper: Noise Models in Digital Image Processing

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-29T13:13:27.184429Z

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.

source=pdf_text observed=2026-06-29T13:12:29.444432Z digest=sha256:81cb93e8e25326d102ed9b815d184eaa37e1fadc65859990ee12fa7d6ee8182a