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Paper Citation Record · LEDGER

LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge

As of 23 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.

pith.paper-citation-record.v1
2409.10146 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:51:17.937923Z

measured 1 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-05T15:51:17.937923Z digest=sha256:16ccc2e4134c397974ddd6a56336c126ad95cfec852aa9365f2b47b9b6ff7490

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.

source=pdf_text observed=2026-08-02T15:06:21.755506Z digest=sha256:31072ed19e9df67f58e5bb8f626d965d13142089d87dc3362cfbf75b770d5570

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

source=arxiv_source observed=2026-08-02T13:37:01.553656Z digest=sha256:8c2df59350fdf1ec8c96815acfc81c3a63782adfeb63d41f5485f2330a40318d