Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CVE-LLM : Automatic vulnerability evaluation in medical device industry using large language models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.14640.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:58:13.800590Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T13:58:14.992598Z
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 bbb6b528-6da7-4626-b0ca-e7623ccfb959 · inbound
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights cites this paper.
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights CVE-LLM : Automatic vulnerability evaluation in medical device industry using large language models
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T13:58:14.997252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.