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Paper Citation Record · LEDGER

DocILE Benchmark for Document Information Localization and Extraction

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:36:23.776963Z

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-25T23:52:07.754083Z digest=sha256:93326cf2547023d188180f4cf933ea3224004e63363df7c57193b309c3629993

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:b0a7907900b86b407c2ecdee307025e656b8136e9263ea29c06d7a7391c2cb70

Observation d1a6d516-5f5d-423e-80c3-a8a24f91652d · inbound

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth cites this paper.

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth DocILE Benchmark for Document Information Localization and Extraction

Reference 241

Resolution
unresolved
no resolver link, observed 2026-08-02T14:55:44.442107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:55:44.442107Z digest=sha256:16c11803ffd3e0463fbd38f827a795b7ff55752404f1919872c11b0765226dbe

Observation 181bc623-7cb8-447f-8b88-f80a26865ffb · inbound

Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction cites this paper.

Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction DocILE Benchmark for Document Information Localization and Extraction

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T20:42:51.936311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:42:51.936311Z digest=sha256:f708e491e54f6bd671b1ca28719a086174d7005e21b958898784256c0e69c8df

Observation ba942e8b-3cfa-4205-b6f6-c673ad40075f · inbound

FormStruct-Bench:A Hierarchical and Diagnostic Benchmark for Table-Form Document Structure Recognition cites this paper.

FormStruct-Bench:A Hierarchical and Diagnostic Benchmark for Table-Form Document Structure Recognition DocILE Benchmark for Document Information Localization and Extraction

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T00:36:23.776963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:36:23.776963Z digest=sha256:b40d9fa5bf48e219151d920b58cfd3c687d1010610a9a25ac52427f8d1b21e46