Paper Citation Record · LEDGER

Few-shot Learning for Named Entity Recognition in Medical Text

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1811.05468.

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

pith.paper-citation-record.v1
1811.05468 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:34:37.515836Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T16:59:58.885689Z

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 0c70d503-9800-4f4f-9ace-270d41bd9d35 · inbound

Low-Resource Name Tagging Learned with Weakly Labeled Data cites this paper.

Low-Resource Name Tagging Learned with Weakly Labeled Data Few-shot Learning for Named Entity Recognition in Medical Text

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T11:11:02.238457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7ba7263-8541-4740-88e3-7013dc961f25 · inbound

Beyond Text: Characterizing Domain Expert Needs in Document Research cites this paper.

Beyond Text: Characterizing Domain Expert Needs in Document Research Few-shot Learning for Named Entity Recognition in Medical Text

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T12:34:37.515836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0ebfa4-294a-4c51-9694-0603b2d1a282 · inbound

Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning cites this paper.

Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning Few-shot Learning for Named Entity Recognition in Medical Text

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T12:11:03.776831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df6ba7ce-50b1-4dfa-925f-323ad194c22e · inbound

Weakly Supervised Medical Entity Extraction and Linking for Chief Complaints cites this paper.

Weakly Supervised Medical Entity Extraction and Linking for Chief Complaints Few-shot Learning for Named Entity Recognition in Medical Text

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T12:08:08.315022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91fe143-b81c-47c0-ae16-c46bb5535425 · inbound

Task Decomposition for Efficient Annotation cites this paper.

Task Decomposition for Efficient Annotation Few-shot Learning for Named Entity Recognition in Medical Text

Reference 123

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T16:59:58.887321Z

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.