Paper Citation Record · LEDGER

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies)

As of 22 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:2508.19428.

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

pith.paper-citation-record.v1
2508.19428 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:51:17.967040Z

measured 8 of 8 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:06:21.603205Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

verified exact2
verified fuzzy1
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d1eb41e-b802-4df0-aa1e-49906ad20cae · outbound

This paper cites LLMs4OL: Large Language Models for Ontology Learning.

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) LLMs4OL: Large Language Models for Ontology Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:51:18.195479Z

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 64811441-e655-4c61-9533-cb8b30117e0b · outbound

This paper cites Phoenixes at llms4ol 2024 tasks a, b, and c: Retrieval augmented generation for ontology learning,.

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) Phoenixes at llms4ol 2024 tasks a, b, and c: Retrieval augmented generation for ontology learning,

Reference 2

Resolution: verified exact; doi, observed 2026-08-05T15:51:18.025099Z

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 ce5d1272-e56f-4d79-bf9c-2557db3cd69d · outbound

This paper cites LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge.

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 a013d801-8827-4fbd-9289-29b672448587 · outbound

This paper cites End-to-End Ontology Learning with Large Language Models.

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) End-to-End Ontology Learning with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:17.944332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29cfa2f-4fb2-41a9-93f2-d825f96afff3 · outbound

This paper cites LLMs4Life: Large Language Models for Ontology Learning in Life Sciences.

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) LLMs4Life: Large Language Models for Ontology Learning in Life Sciences

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:17.954145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b39128e8-e24b-48fd-aefa-6f88aa1ecb41 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:17.960799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f0032e7-6fb8-4681-94fb-39d5aacf1033 · outbound

This paper cites LLMs4OL 2025: The 2nd Large Language Models for Ontology Learning Challenge at the 24th ISWC.

Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) LLMs4OL 2025: The 2nd Large Language Models for Ontology Learning Challenge at the 24th ISWC

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:51:18.220021Z

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.

Pith citing papers

Observation 177cfef2-bdf2-487a-9043-7832853a72e9 · 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 Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T15:06:21.603205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.