Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T11:32:02.334448Z
Paper Citation Record · LEDGER
What Matters When Building Universal Multilingual Named Entity Recognition Models?
As of 4 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2601.06347.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c6f59ee3-6b93-4252-981f-b081de1fdada · outbound
This paper cites Bidirectional LSTM-CRF Models for Sequence Tagging.
What Matters When Building Universal Multilingual Named Entity Recognition Models? Bidirectional LSTM-CRF Models for Sequence Tagging
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:32:02.165238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ae92744-4773-4f4e-b459-d19361da1709 · outbound
This paper cites UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.
What Matters When Building Universal Multilingual Named Entity Recognition Models? UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Reference 2022
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-03T11:32:02.334448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71901e8f-c2c3-44f1-a6b7-821bb9f1315a · outbound
This paper cites Language Models are Few-Shot Learners.
What Matters When Building Universal Multilingual Named Entity Recognition Models? Language Models are Few-Shot Learners
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:32:02.033602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.