Paper Citation Record · LEDGER

A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2405.14487.

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

pith.paper-citation-record.v1
2405.14487 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:38:57.044375Z

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

21
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 bfced28d-a0dd-491a-9a1d-fc96a46daa86 · 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 A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T04:38:57.044375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5974738f-88df-4339-8063-e23dc664bf74 · inbound

Generative AI for Internet of Things Security: Challenges and Opportunities cites this paper.

Generative AI for Internet of Things Security: Challenges and Opportunities A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.510634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9126a7-9755-4163-949a-fe61298f5ddb · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:06:37.900446Z

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.

Observation 824535aa-baff-4a58-9a00-e3275372f47e · inbound

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

On the Surprising Efficacy of LLMs for Penetration-Testing A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:10:04.514085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 220df542-c8df-4bc4-a3df-8a21d705703f · inbound

PenTest2.0: Towards Autonomous Privilege Escalation Using GenAI cites this paper.

PenTest2.0: Towards Autonomous Privilege Escalation Using GenAI A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:01:15.846726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb275d39-3a86-4342-8385-8eff66bc6596 · inbound

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection cites this paper.

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T17:29:58.767171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 338ed6cf-e4f5-4190-a50e-f2805e89deb2 · inbound

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation cites this paper.

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:42:04.662302Z

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.

Observation 945c38ad-c8e2-4c4f-960b-3e9778d2cfbc · inbound

Enabling Cyber Security Education through Digital Twins and Generative AI cites this paper.

Enabling Cyber Security Education through Digital Twins and Generative AI A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:09.073321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6b03b1e-2659-42ee-a042-1d046db431cb · inbound

Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.

Large Language Models for Security Operations Centers: A Comprehensive Survey A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T17:32:20.806349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba39691-3423-4817-8585-6bc6891ce725 · inbound

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts cites this paper.

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:25:52.160643Z

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.

Observation ae43fd63-ff6c-41c5-80cb-8d26d3523197 · inbound

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? cites this paper.

SoK: Honeypots & LLMs, More Than the Sum of Their Parts? A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:05:48.300657Z

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.

Observation 4134d5ff-1e96-45ef-8cbe-ba8a9acd8483 · 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 A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:50:39.996607Z

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.

Observation 9cfe796f-579f-47f2-9162-b7da0369db03 · inbound

AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey cites this paper.

AI-Driven Security Alert Screening and Alert Fatigue Mitigation in Security Operations Centers: A Comprehensive Survey A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:51:14.693892Z

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.

Observation e827e20e-8d25-4efe-bca8-be4fb2a5b88a · inbound

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions cites this paper.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T03:57:47.560737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6007efe-fc6a-4fa0-af55-5e1d083135b1 · inbound

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation cites this paper.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T23:21:12.858521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.