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Paper Citation Record · LEDGER

DocILE Benchmark for Document Information Localization and Extraction

As of 12 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.05658.

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

pith.paper-citation-record.v1
2302.05658 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 2026-07-11T06:31:22.384518+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T16:02:00.920066Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:09:59.437869Z

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 7c936fa0-35fc-427c-b6bc-645698ba693c · inbound

Beyond Logprobs: A Multi-Signal Confidence Engine for LLM-Based Document Field Extraction cites this paper.

Beyond Logprobs: A Multi-Signal Confidence Engine for LLM-Based Document Field Extraction DocILE Benchmark for Document Information Localization and Extraction

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:09:59.455219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-11T06:31:22.384518+00:00.

source=pdf_text observed=2026-06-25T23:52:07.754083Z digest=sha256:4d4acf15a9442a25b6c2469822629820ddda0d1bb3ea4287dcd2cb086ffb4d68

Observation 5dc9a41b-5099-442e-8556-3bb6023f390a · 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 DocILE Benchmark for Document Information Localization and Extraction

Reference 93

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:c0dacb8e1562f67a59ce844a7397e175711b37b79725b901f61d9119d1da4438