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Paper Citation Record · LEDGER

A Survey on Deep learning based Document Image Enhancement

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.02719.

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

pith.paper-citation-record.v1
2112.02719 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:58:10.142281Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:51:23.964230Z

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 5e491190-8c18-4994-8fe9-f1048a1a8726 · inbound

DocShaDiffusion: Diffusion Model in Latent Space for Document Image Shadow Removal cites this paper.

DocShaDiffusion: Diffusion Model in Latent Space for Document Image Shadow Removal A Survey on Deep learning based Document Image Enhancement

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:10.142281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:10.142281Z digest=sha256:100bba89c50a0625461328711d8263f19ac344086ae5089d2dc27827a82612db

Observation 91a1b7e4-4dea-437e-b6ed-7c4182ce8bf4 · inbound

A Multistage Extraction Pipeline for Long Scanned Financial Documents: An Empirical Study in Industrial KYC Workflows cites this paper.

A Multistage Extraction Pipeline for Long Scanned Financial Documents: An Empirical Study in Industrial KYC Workflows A Survey on Deep learning based Document Image Enhancement

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:23.966605Z

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=2026-05-07T13:43:30.511187Z digest=sha256:e3a60e50ecae433a28ba9cdd869bee179b7fbe5dd03f257f7f6651b3e47de109