Paper Citation Record · LEDGER

Large Language Models in Cybersecurity: State-of-the-Art

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.00891.

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

pith.paper-citation-record.v1
2402.00891 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:44:03.956555Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 345d1aec-2a6f-40e2-8300-4858a48b9913 · inbound

APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models cites this paper.

APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models Large Language Models in Cybersecurity: State-of-the-Art

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T21:44:03.956555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df69e76a-fa28-4369-b5dd-1e389aac5a59 · inbound

How Good LLM-Generated Password Policies Are? cites this paper.

How Good LLM-Generated Password Policies Are? Large Language Models in Cybersecurity: State-of-the-Art

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:14.050395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8854c77-ae70-4615-b84e-a4d1fbcbd9de · inbound

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space cites this paper.

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space Large Language Models in Cybersecurity: State-of-the-Art

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:50.441666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f02c66bd-d8c0-4d03-ab22-6e32659f1f97 · inbound

On the Surprising Efficacy of LLMs for Penetration-Testing cites this paper.

On the Surprising Efficacy of LLMs for Penetration-Testing Large Language Models in Cybersecurity: State-of-the-Art

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T21:10:06.607291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ca019c9-6e21-4470-829e-321cf868c04b · inbound

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing cites this paper.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing Large Language Models in Cybersecurity: State-of-the-Art

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:02.743537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca4ffda-1001-45bf-8a5c-b7dd191cd13f · inbound

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report cites this paper.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Large Language Models in Cybersecurity: State-of-the-Art

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T05:57:29.352613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd35ebd1-9da2-41cc-82df-abca5511ef83 · inbound

Toward Cybersecurity-Expert Small Language Models cites this paper.

Toward Cybersecurity-Expert Small Language Models Large Language Models in Cybersecurity: State-of-the-Art

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T09:40:27.207569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1101c306-7f87-4fb7-b1fe-2802056e90b7 · inbound

Scale-free congestion clusters in large-scale traffic networks: a continuum modeling study cites this paper.

Scale-free congestion clusters in large-scale traffic networks: a continuum modeling study Large Language Models in Cybersecurity: State-of-the-Art

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T09:27:26.581889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35680c8a-41e1-43cd-918a-cc1b5d30298f · inbound

LanG -- A Governance-Aware Agentic AI Platform for Unified Security Operations cites this paper.

LanG -- A Governance-Aware Agentic AI Platform for Unified Security Operations Large Language Models in Cybersecurity: State-of-the-Art

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:25:51.395652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5aebf6db-9a5e-42d9-8fa6-2f27e964983e · inbound

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training cites this paper.

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training Large Language Models in Cybersecurity: State-of-the-Art

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:50:40.036820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a135c9d0-6de3-4ab4-95f7-810f6a4c28f0 · inbound

Towards Automated Pentesting with Large Language Models cites this paper.

Towards Automated Pentesting with Large Language Models Large Language Models in Cybersecurity: State-of-the-Art

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:11:04.085607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.