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Paper Citation Record · LEDGER

Key Information Extraction From Documents: Evaluation And Generator

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.14624.

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

pith.paper-citation-record.v1
2106.14624 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:38:34.519684Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 eeac0cbd-e93e-4932-a5fa-0cef14505ce1 · inbound

Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document Synthesis cites this paper.

Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document Synthesis Key Information Extraction From Documents: Evaluation And Generator

Reference 92

Resolution
unresolved
no resolver link, observed 2026-07-11T16:02:00.920066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T16:02:00.920066Z digest=sha256:069056724b255367d1a0466713d843f60840ead060088db3d5ba6cfa445cd38e

Observation 7504eafc-1175-42ff-8cd0-a8f38d45eca3 · inbound

DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation cites this paper.

DocAnnot -- Accelerating the Creation of Key Information Extraction Datasets with GenAI-Powered Auto-annotation Key Information Extraction From Documents: Evaluation And Generator

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T14:38:34.519684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:34.519684Z digest=sha256:5d6edd8c4eaa24706393dab3a936146892c0f8e88ee3bd450afc07abcd4fb588