Paper Citation Record · LEDGER

An Empirical Study on Information Extraction using Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2305.14450.

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

pith.paper-citation-record.v1
2305.14450 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:26:56.199103Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:58.839259Z

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 8521c910-643f-4483-be77-0d6b37e19988 · inbound

Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema cites this paper.

Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema An Empirical Study on Information Extraction using Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:18.136677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a83e843-4d9a-4b91-98ae-d35d1d8d0ea5 · inbound

STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection cites this paper.

STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection An Empirical Study on Information Extraction using Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:24.217212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f89a94c-b89d-4d08-a437-585bb8849a85 · inbound

A Structured Literature Review on Traditional Approaches in Current Natural Language Processing cites this paper.

A Structured Literature Review on Traditional Approaches in Current Natural Language Processing An Empirical Study on Information Extraction using Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:56.199103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8d47ec-9535-425f-b58a-9757bd6b6ac2 · inbound

MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.

MPL: Multiple Programming Languages with Large Language Models for Information Extraction An Empirical Study on Information Extraction using Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:10.398716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ace9672-d524-4fed-b6e9-3a88c4fc332a · inbound

Fine-Grained Chinese Hate Speech Understanding: Span-Level Resources, Coded Term Lexicon, and Enhanced Detection Frameworks cites this paper.

Fine-Grained Chinese Hate Speech Understanding: Span-Level Resources, Coded Term Lexicon, and Enhanced Detection Frameworks An Empirical Study on Information Extraction using Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:30.733727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac72c3bd-76be-488e-a54b-7e85cb4c2281 · inbound

MExplore: an entity-based visual analytics approach for medical expertise acquisition cites this paper.

MExplore: an entity-based visual analytics approach for medical expertise acquisition An Empirical Study on Information Extraction using Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:22.087901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 514851a7-6174-46fe-8593-23c2124d13ea · inbound

GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface cites this paper.

GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface An Empirical Study on Information Extraction using Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:54.172614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c38022f4-9ebd-4a40-a593-92930eb7b77e · inbound

From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models cites this paper.

From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models An Empirical Study on Information Extraction using Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:04.834755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f27bfd6-677d-4a13-b9c8-2050ad249750 · inbound

Semantic Reranking at Inference Time for Hard Examples in Rhetorical Role Labeling cites this paper.

Semantic Reranking at Inference Time for Hard Examples in Rhetorical Role Labeling An Empirical Study on Information Extraction using Large Language Models

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:28:14.296142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4787323a-0957-4bce-92ad-0fffc08a8333 · inbound

DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis cites this paper.

DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis An Empirical Study on Information Extraction using Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:12:24.487385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3550e3dd-1933-4021-ab9c-2cd1eab658a4 · inbound

Task Decomposition for Efficient Annotation cites this paper.

Task Decomposition for Efficient Annotation An Empirical Study on Information Extraction using Large Language Models

Reference 169

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:59:58.840760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 198ae72e-2c76-46ca-b176-de47f31cf756 · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications An Empirical Study on Information Extraction using Large Language Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:05:51.155030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f0a6e79-203c-47db-b458-a60cfdf5b51e · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.198289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f9517dd4-f80c-4242-8e0f-b6dee550f424 · inbound

Discourse-Aware Policy Analysis with Argumentation: A Hybrid LLM-Symbolic Framework for Disaster Governance cites this paper.

Discourse-Aware Policy Analysis with Argumentation: A Hybrid LLM-Symbolic Framework for Disaster Governance An Empirical Study on Information Extraction using Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T05:47:19.872628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.