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Paper Citation Record · LEDGER

CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.14132.

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

pith.paper-citation-record.v1
2404.14132 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 2026-08-11T17:33:18.055157Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:38:07.500969Z

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 007aecf8-167e-4ace-a39a-55820318a1a4 · inbound

From Noise to Nuance: Advances in Deep Generative Image Models cites this paper.

From Noise to Nuance: Advances in Deep Generative Image Models CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-11T17:33:18.055157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:33:18.055157Z digest=sha256:fe2373cde4dc12d6a44b676723a28805a1014c7767dee656e5659038230ce369

Observation 04336443-f1ac-43c5-9a2c-63c97cdfe260 · inbound

A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement cites this paper.

A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:38:07.505901Z

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=2026-08-05T15:38:07.464445Z digest=sha256:6c335504d5475bb5f030ee6ede647e8397c608b0228dd3e92e9b43d0ac95de5f