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Paper Citation Record · LEDGER

Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.01334.

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

pith.paper-citation-record.v1
2404.01334 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:53.943689Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:58.910869Z

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 aa1f94a2-4920-4398-a982-9e9a03b957fa · inbound

LLMs as Data Annotators: How Close Are We to Human Performance cites this paper.

LLMs as Data Annotators: How Close Are We to Human Performance Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T11:37:53.943689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:37:53.943689Z digest=sha256:c288d1179fc8ad5b8ee3e118bf75ca0894adf3d429f9e05180c17e16ffbbbc93

Observation cf758f5d-18ed-4bc5-ae34-5ad90dba93a0 · inbound

Task Decomposition for Efficient Annotation cites this paper.

Task Decomposition for Efficient Annotation Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:59:58.912807Z

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.

source=arxiv_source observed=2026-06-26T00:00:16.588823Z digest=sha256:b849e03423519d6b2e8b2c9d958916b275556fc472e4a68624e76627e4ee6600