Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large language models as oracles for instantiating ontologies with domain-specific knowledge
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.04108.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:10:44.017698Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:36:04.172234Z
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 5b63cf76-1149-445b-bcc5-bd9de53d556c · inbound
Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis cites this paper.
Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Large language models as oracles for instantiating ontologies with domain-specific knowledge
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:10:44.017698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f807d874-ba99-4065-b3fb-f4d041af24cb · inbound
LLM-based Generation of Semantically Diverse and Realistic Domain Model Instances cites this paper.
LLM-based Generation of Semantically Diverse and Realistic Domain Model Instances Large language models as oracles for instantiating ontologies with domain-specific knowledge
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:36:04.176968Z
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.