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Paper Citation Record · LEDGER

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.12750.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.12750 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:47:16.357985Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T13:55:21.092869Z

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 1b0a926c-ce18-4d43-8ed3-74b87019b18a · inbound

Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction cites this paper.

Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T23:42:15.204890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:42:15.204890Z digest=sha256:d160b46fb98e55a1309243c1fd93b66a33ec02bf297f8d1f1465a169c54eac22

Observation 1403fe2b-1356-437d-bf88-1487a4ab10af · inbound

Mapping the Landscape of Generative AI in Network Monitoring and Management cites this paper.

Mapping the Landscape of Generative AI in Network Monitoring and Management Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T04:38:57.083771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:38:57.083771Z digest=sha256:215738dac60c3a3a55129c6fbf2d89aefe2d05fdc2c535d3b91ba4d72be30958

Observation a60e50e0-a2ef-4f19-bff5-8c677f1b69a3 · inbound

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis cites this paper.

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:55:21.144582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T13:55:17.790054Z digest=sha256:7d6536de5dc3657a6417b88a0a82a26e7b5b8e0049394e4da281705c3e7bbb3a

Observation f60c4bb1-d7b3-4f5f-918e-888daf382f02 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:25.641845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:25.641845Z digest=sha256:a7ea29b53c7650bb4cfffb22a76b4ea5eed83b1eaa6338d7069ac7c32fb2d692

Observation 7c1233c3-5d66-49a0-bd05-fc5f60cea649 · inbound

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs cites this paper.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.357985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.357985Z digest=sha256:29b342d0bd4af21855d530b9ecca8925df9253b08e8a9d34531d751473b4cd13

Observation 3de244d2-555f-495f-bd7b-a3d23175c1bc · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:17.584408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:17.584408Z digest=sha256:9ef8630ef4c65770e41b673081d9683faed089ee7d9dd2fd722993277c5a7f7f