Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Preliminary Study on Using Large Language Models in Software Pentesting
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.17459.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:35:02.374741Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T14:31:06.419448Z
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 eb06f0af-f841-4b45-8473-6a471ea7b66e · inbound
From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs cites this paper.
From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs A Preliminary Study on Using Large Language Models in Software Pentesting
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:35:02.374741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87efcbb1-2a03-423b-bdf0-d015d4404e70 · inbound
A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations: An LLM Case cites this paper.
A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations: An LLM Case A Preliminary Study on Using Large Language Models in Software Pentesting
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:31:06.422680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.