Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.12801.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:23:16.934901Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T00:38:23.277128Z
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 5c482c5f-a381-48a5-bfd7-6c8649679e89 · inbound
Evaluating Named Entity Recognition Models for Russian Cultural News Texts: From BERT to LLM cites this paper.
Evaluating Named Entity Recognition Models for Russian Cultural News Texts: From BERT to LLM Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:23:16.934901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5e896ad-c9dd-47cc-9d71-78af02c6c905 · inbound
Generating High Quality Synthetic Data for Dutch Medical Conversations cites this paper.
Generating High Quality Synthetic Data for Dutch Medical Conversations Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:38:23.278589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9cc4c6d2-125e-4487-9b71-5571a3ec0026 · inbound
DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition cites this paper.
DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T08:48:01.860986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.