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Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:53.878925Z

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 fcbeacad-1bbb-4041-883f-f67abce5fe8b · inbound

HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun cites this paper.

HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T20:10:13.627183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:10:13.627183Z digest=sha256:e7292eb695df30e42b7fdba63dd96e9c8fb381244fcb183e588db9505244ec99

Observation a5f888ba-a577-45d2-8774-fd5a70317bc0 · inbound

GerPS-Compare: Comparing NER methods for legal norm analysis cites this paper.

GerPS-Compare: Comparing NER methods for legal norm analysis NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T23:31:15.164756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:31:15.164756Z digest=sha256:81c3a1245decbe4f9541c759002dd8679ccdd305018a3e796f64c7d1cd316dec

Observation 4ffbea51-9470-42b7-ac70-53611d533ea3 · inbound

Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data cites this paper.

Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T16:25:16.755873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:25:16.755873Z digest=sha256:d25de7a6582dea4375987efb5e5576a17373a765427d865bfe1c37c08000edc4

Observation d70124a5-5185-41ac-ae14-7ed7642fa877 · inbound

GLiREL -- Generalist Model for Zero-Shot Relation Extraction cites this paper.

GLiREL -- Generalist Model for Zero-Shot Relation Extraction NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:31.530005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:31.530005Z digest=sha256:226c84c07dae2276356dd9843d3e253ab8e256262ad8d9c7a83e4fd6b0bb757f

Observation fd0f8ae7-ce90-43b9-9f77-d66fa6ffe40a · 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 NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T11:37:53.878925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:37:53.878925Z digest=sha256:42db845dd780257c36292758d46828ffe192228af39c8e90cefc26e51c04d3fa

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=sha256:2683fe9938d7ce622edf44433342fd5cdcc0a6005e0f8bae42b2973436ca1a90

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T08:45:42.300740Z digest=sha256:346574ebdce74e24f67e6f49361f54ae0c7d693aec273891d1d750c462b9389a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T00:54:00.257401Z digest=sha256:67484ae54e5813b336561fb2eea2200fedc35f3ac82a19012b84e78a74ce8707

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T03:43:18.697486Z digest=sha256:d9f3bdae54797d0c60c3a8293d642c680651fcd1d6848d12cfc6826b4bd5afe5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T09:11:58.843585Z digest=sha256:722bdc9248e49f27392d4f7615df5008f21b3b94562abf005267179876db209f