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Paper Citation Record · LEDGER

Image Colorization: A Survey and Dataset

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2008.10774.

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

pith.paper-citation-record.v1
2008.10774 v4

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 2026-08-10T18:19:15.039191Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:36:43.259007Z

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 8c495b4e-ca5d-4fde-bcd2-38dcdf42ecb2 · inbound

MASS: Overcoming Language Bias in Image-Text Matching cites this paper.

MASS: Overcoming Language Bias in Image-Text Matching Image Colorization: A Survey and Dataset

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T18:19:15.039191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:19:15.039191Z digest=sha256:f2dadc35c89f9ee042e47e0f68c6088dc2d662850b263b7d8fd7531661af6820

Observation 86894e98-89f2-4eee-a076-c720e97f954b · inbound

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks cites this paper.

Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks Image Colorization: A Survey and Dataset

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:36:43.354312Z

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=arxiv_source observed=2026-08-05T23:36:41.731212Z digest=sha256:0fc2c40b6e4c0ad717026a0e93cad5424b30f35155ac3d6d096a629c59d30f66