Paper Citation Record · LEDGER

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2504.17402.

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

pith.paper-citation-record.v1
2504.17402 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:24.421340Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:24.421340Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T10:46:24.451378Z

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy11
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 221c245b-6abf-469e-bae3-9536d86ad10c · outbound

This paper cites In: European Semantic Web Conf erence.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation In: European Semantic Web Conf erence

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.657703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0c3d55f-59d4-4a16-a9d3-9cbaa50bcad8 · outbound

This paper cites In: 15th I nternational Semantic Web Applications and Tools for Healthcare and Life Sciences (SW AT4HCLS 2024) (to appear) (2024) Title Suppressed Due to Excessive Length 9.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation In: 15th I nternational Semantic Web Applications and Tools for Healthcare and Life Sciences (SW AT4HCLS 2024) (to appear) (2024) Title Suppressed Due to Excessive Length 9

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.647216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2bab0805-5de4-4ad2-864d-0c78cbacfd90 · outbound

This paper cites arXiv preprint arXiv:2407.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation arXiv preprint arXiv:2407

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.635973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c08d569-23b6-4cb0-a8e4-feb1f65173a0 · outbound

This paper cites In: International Semantic Web Conference.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation In: International Semantic Web Conference

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.625635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eef622d7-a798-4b91-93bf-cc412318bfea · outbound

This paper cites Applied Sciences 15(4), 2146 (2025).

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation Applied Sciences 15(4), 2146 (2025)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.615074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d004b9f9-aeb4-4030-b2f5-ff8a5ffc3594 · outbound

This paper cites arXiv preprint arXiv:241 2.02035 (2024).

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation arXiv preprint arXiv:241 2.02035 (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.604383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1abd1287-4d09-43c3-82e8-85b941e5c38e · outbound

This paper cites an unresolved cited work.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:46:24.593233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation beb09abd-13de-4132-9ed9-05c413a2c7a7 · outbound

This paper cites In: European Semantic Web Conference.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation In: European Semantic Web Conference

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.581894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f5b1999-9cf1-43f8-980a-e6ebc59388ec · outbound

This paper cites Scientiﬁc Data 12(1), 274 (2025).

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation Scientiﬁc Data 12(1), 274 (2025)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.570871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f707324-8483-46c2-b3e5-1d3dd7b400c9 · outbound

This paper cites Ontology Generation using Large Language Models.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation Ontology Generation using Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:46:24.402979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7904cd7-066b-4a3e-a1be-9c1158bb9798 · outbound

This paper cites M.: Dataset of ontology competency questions to sparql-owl queries translations.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation M.: Dataset of ontology competency questions to sparql-owl queries translations

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.560539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0df8de62-018e-45b8-a539-e6f5de822622 · outbound

This paper cites In: Proc.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation In: Proc

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.549857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7d6e27c-5a49-46db-9613-957abbb54bc6 · outbound

This paper cites In: European Semantic Web Conference.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation In: European Semantic Web Conference

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:46:24.539116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 627364cd-1a94-48dc-bf1a-2d6173655be2 · outbound

This paper cites Information Processing & Management 62(3), 104042 (2025).

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation Information Processing & Management 62(3), 104042 (2025)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:46:24.417838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72724f0b-68c9-444d-bacd-cc961685ea6d · outbound

This paper cites Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation.

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:46:24.457194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 72724f0b-68c9-444d-bacd-cc961685ea6d · inbound