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Paper Citation Record · LEDGER

LLMs4OL: Large Language Models for Ontology Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.16648.

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

pith.paper-citation-record.v1
2307.16648 v2

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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:15:39.520215Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:51:18.185563Z

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 d6c7b04b-24a6-4f50-b8dd-1a5a027292b5 · inbound

Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias cites this paper.

Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias LLMs4OL: Large Language Models for Ontology Learning

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T04:15:39.520215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:15:39.520215Z digest=sha256:d53421a50b82f9359fe0474d93dd106602a1474b99fac04d017879c1347bec51

Observation 8d1eb41e-b802-4df0-aa1e-49906ad20cae · 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: 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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T15:51:17.924329Z digest=sha256:f37baaeadcc78bc76e72c54a3e759e30dad10cc396ea9b84b144c6891c58597e

Observation c62f141a-95c4-4ea7-9156-d8db286096e0 · inbound

Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report cites this paper.

Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report LLMs4OL: Large Language Models for Ontology Learning

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-16T00:25:41.035129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:25:41.035129Z digest=sha256:243396e6a8f62b27a097e581563687623a676d3b510a8035b7501ed92d70de9b