Paper Citation Record · LEDGER

Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.14084.

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

pith.paper-citation-record.v1
2309.14084 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:45:29.093919Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

15
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e4d5bd3e-5ef7-49d4-8db7-a9e5793e3c6c · inbound

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools cites this paper.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T13:45:29.093919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a4f87dd-d839-475f-a9c5-4dd5405d99d8 · inbound

Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages cites this paper.

Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T22:40:44.349730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83fc8c0-d1e0-464d-8a45-d8f0ed976ac5 · inbound

FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework cites this paper.

FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T12:24:19.775538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 845b16e5-7110-4964-abdb-967fdeac13b3 · inbound

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach cites this paper.

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-09T12:05:57.675044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.