Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.10146.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:51:17.937923Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation ce5d1272-e56f-4d79-bf9c-2557db3cd69d · inbound
Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) cites this paper.
Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:51:17.937923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68888f9f-9237-47ca-907f-af5caea76e56 · inbound
Generative Ontology Induction: Domain-Agnostic Schema Discovery from Document Corpora Using Large Language Models cites this paper.
Generative Ontology Induction: Domain-Agnostic Schema Discovery from Document Corpora Using Large Language Models LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:06:21.755506Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78f0d2c5-535a-40a6-93bd-2bc2e2b9015d · inbound
SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.
SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
Reference 109
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-02T13:38:26.806512Z
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.