Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.12132.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:18:46.090227Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T23:23:52.151459Z
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 1bdd9b2a-ac6a-4330-b703-73fe93d71527 · inbound
Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects cites this paper.
Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:20:17.003084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ace4cac3-c279-4ec8-9e8a-47bec05921e2 · inbound
Generative AI for Internet of Things Security: Challenges and Opportunities cites this paper.
Generative AI for Internet of Things Security: Challenges and Opportunities Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T23:23:52.156657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 10c354aa-8d46-4194-8e40-0918d9cd9dba · inbound
MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models cites this paper.
MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:18:46.090227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83a05d1d-9738-4848-b7de-d64f5635cd19 · inbound
Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs cites this paper.
Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:36:33.719003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9045ec9-b9d4-4229-a3be-417c6812f80f · inbound
On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models cites this paper.
On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:21:42.190210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.