Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.00405.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:51:26.219303Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:53:50.919302Z
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 28db9665-bee4-4d80-8604-0fd0c93d384f · inbound
Dealing with Annotator Disagreement in Hate Speech Classification cites this paper.
Dealing with Annotator Disagreement in Hate Speech Classification NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:51:26.219303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92c0df19-bd66-49aa-8310-ba2804f7b873 · inbound
Small Language Models in the Real World: Insights from Industrial Text Classification cites this paper.
Small Language Models in the Real World: Insights from Industrial Text Classification NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:09:54.766681Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a00e7646-be11-4835-8007-b07f3e2468df · inbound
RATE: An LLM-Powered Retrieval Augmented Generation Technology-Extraction Pipeline cites this paper.
RATE: An LLM-Powered Retrieval Augmented Generation Technology-Extraction Pipeline NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:53:50.970075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.