Paper Citation Record · LEDGER

Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.00247.

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

pith.paper-citation-record.v1
2308.00247 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:51:42.615301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T00:57:00.405896Z

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 5bf1969d-d886-4b3d-b467-1006297310c9 · inbound

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient cites this paper.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.615301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8cf8d10-9ec7-458f-8be0-78144c7404f9 · inbound

J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume cites this paper.

J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T14:59:14.741261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f02783-6483-440d-90d9-3ddf6f405c10 · inbound

A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images cites this paper.

A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T13:50:35.252891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6048f6d-ed4e-4e29-a90e-2946ac009f34 · inbound

Rotation-Equivariant Self-Supervised Method in Image Denoising cites this paper.

Rotation-Equivariant Self-Supervised Method in Image Denoising Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:48.089299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87d5dc5b-601e-4098-9976-de61e5538881 · inbound

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection cites this paper.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:25.692549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b33174-25d2-43cf-820f-1c6226248e0e · inbound

Deploying Self-Supervised Learning for Real Seismic Data Denoising cites this paper.

Deploying Self-Supervised Learning for Real Seismic Data Denoising Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T00:57:00.408540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.