Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1903.03985.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:41:28.058564Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:40:24.588828Z
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 47c46141-2c96-4d6c-8839-f3a658badcf0 · inbound
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector cites this paper.
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:41:28.058564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe612a46-5a4f-42cb-8aaa-888363b25c77 · inbound
GerPS-Compare: Comparing NER methods for legal norm analysis cites this paper.
GerPS-Compare: Comparing NER methods for legal norm analysis Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:31:15.431582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29338d58-57b1-45ca-b9c8-ad94fd61b252 · inbound
Development of the user-friendly decision aid Rule-based Evaluation and Support Tool (REST) for optimizing the resources of an information extraction task cites this paper.
Development of the user-friendly decision aid Rule-based Evaluation and Support Tool (REST) for optimizing the resources of an information extraction task Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T00:40:24.664551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.