Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:24.421340Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:24.421340Z
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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation 72724f0b-68c9-444d-bacd-cc961685ea6d · inbound
Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation cites this paper.
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 2026-08-18T06:34:40.430872+00:00.