Paper Citation Record · LEDGER

NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2112.00405.

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

pith.paper-citation-record.v1
2112.00405 v1

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:23:18.970252Z

measured 0 of 1 external citation measurements

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 465865d5-01bb-42d2-985e-600ad90805ad · inbound

Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows cites this paper.

Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T10:23:18.970252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-17T06:30:58.91139+00:00.