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Paper Citation Record · LEDGER

A Comprehensive Survey of Document-level Relation Extraction (2016-2023)

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.16396.

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

pith.paper-citation-record.v1
2309.16396 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:49:32.150626Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:42:04.426695Z

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 a0add38b-ad0f-412f-9d7c-36051102cff6 · inbound

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends cites this paper.

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends A Comprehensive Survey of Document-level Relation Extraction (2016-2023)

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:42:04.429135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-19T04:38:49.512293Z digest=sha256:d1b4f154b8cbabc625554e56b2ac329ab1cc7ef00e0c918402e856b15697b8b1

Observation e6350dbd-db38-476e-aa92-6fcf56e922fd · inbound

Multi-Relation Extraction in Entity Pairs using Global Context cites this paper.

Multi-Relation Extraction in Entity Pairs using Global Context A Comprehensive Survey of Document-level Relation Extraction (2016-2023)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T14:49:32.150626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:49:32.150626Z digest=sha256:315f20daf8c77cd354849e164fbe7db0184d39141d55a390efd96ed42c798402

Observation fc4836ea-2f1d-445d-b8bf-c76d5d3f4f6c · 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 A Comprehensive Survey of Document-level Relation Extraction (2016-2023)

Reference 222

Resolution
unresolved
no resolver link, observed 2026-08-02T14:55:43.011235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:55:43.011235Z digest=sha256:404d67688879cdfead0b15040e1f1f090a1d98c883a5cad9debe29725f7da9f4