Paper Citation Record · LEDGER

Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.12801.

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

pith.paper-citation-record.v1
2402.12801 v2

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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:31:15.654108Z

measured 0 of 1 external citation measurements

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 91e36755-4998-451f-af2a-4bbaf0249f8b · inbound

GerPS-Compare: Comparing NER methods for legal norm analysis cites this paper.

GerPS-Compare: Comparing NER methods for legal norm analysis Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T23:31:15.654108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.