Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T01:00:00.056298Z

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 c61d643f-d762-4f11-9741-91b6b736152e · inbound

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing cites this paper.

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing Large Language Models in Cybersecurity: State-of-the-Art

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:00.056298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee91b01-b29f-446d-a637-d22f631b8fea · 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 Large Language Models in Cybersecurity: State-of-the-Art

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T23:42:15.193291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01492768-f96c-4ca6-8175-b4d15992233c · inbound

Labeling NIDS Rules with MITRE ATT&CK Techniques: Machine Learning vs. Large Language Models cites this paper.

Labeling NIDS Rules with MITRE ATT&CK Techniques: Machine Learning vs. Large Language Models Large Language Models in Cybersecurity: State-of-the-Art

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:28:38.284853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55a5e382-a4d6-405a-a976-34a5494ab796 · inbound

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI cites this paper.

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI Large Language Models in Cybersecurity: State-of-the-Art

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:07.320538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b59aebb5-e0b6-4022-ad24-19530eac2880 · inbound

Enhancing Phishing Email Identification with Large Language Models cites this paper.

Enhancing Phishing Email Identification with Large Language Models Large Language Models in Cybersecurity: State-of-the-Art

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T21:38:52.502655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.