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Paper Citation Record · LEDGER

Colorization Transformer

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.04432.

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

pith.paper-citation-record.v1
2102.04432 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:18:19.215446Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T18:34:13.516644Z

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 908fca03-e406-46fd-887a-8414e9bdf519 · inbound

Finite Scalar Quantization: VQ-VAE Made Simple cites this paper.

Finite Scalar Quantization: VQ-VAE Made Simple Colorization Transformer

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:34:13.518328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T18:34:13.439993Z digest=sha256:08d70e49dcb6458aba333b65e8e5769dae3c22ef95f2a1620231943259693da4

Observation 4c1f2a7e-43ff-4cab-acb5-091ac387bc85 · inbound

Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis cites this paper.

Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis Colorization Transformer

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-08T13:18:19.215446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:18:19.215446Z digest=sha256:9f4989273bcc9f358df107735fb6b070ba9eef34534016544f59c61c36ec9e3e