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Paper Citation Record · LEDGER

NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.15343.

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

pith.paper-citation-record.v1
2402.15343 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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:53:24.614481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:13:16.025844Z

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 388e7e80-4436-4167-a6df-e22a9740a22f · inbound

SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings cites this paper.

SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T13:53:24.614481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:53:24.614481Z digest=sha256:88cec885fac7c72a6a2a817e0343c36bf96241d84fa7c8bd01b9eb9b621dc8d8

Observation 56eb667c-8ab7-46ad-a3da-79f63db713f7 · inbound

DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition cites this paper.

DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:48:01.852917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T08:45:42.300740Z digest=sha256:771aaa3e72a5e9bba55c25d13ab9e7bad0e7cde9ac9abdf8b0f1ff833e27450d

Observation cf4a7c41-6445-483c-a27b-961b16e4fc6d · inbound

MultiSoc-4D: A Benchmark for Diagnosing Instruction-Induced Label Collapse in Closed-Set LLM Annotation of Bengali Social Media cites this paper.

MultiSoc-4D: A Benchmark for Diagnosing Instruction-Induced Label Collapse in Closed-Set LLM Annotation of Bengali Social Media NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:00:56.934496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T00:54:00.257401Z digest=sha256:c9a0e2bab4576361bfb87749a5d64dc052ac3069e44a132ff2e330c36d429ab8

Observation 35c2fab6-8631-47f6-b550-36b1a72e6d96 · inbound

GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction cites this paper.

GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:06:36.279357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:43:18.697486Z digest=sha256:4b6155ee1860127c37d0844229f822e260d64efcc47a8c508de373cceed8223d

Observation ab47fe54-41f1-492c-97cf-5a5e80c904c6 · inbound

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content cites this paper.

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T09:13:16.027526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T09:11:58.843585Z digest=sha256:bf635cd69d0a97a00085c3017b49c20bd0e8d89be017700c88ecef9004b0cb7c