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Paper Citation Record · LEDGER

When LLMs Meet Cybersecurity: A Systematic Literature Review

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.03644.

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

pith.paper-citation-record.v1
2405.03644 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:10:06.738156Z

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 ae420d7d-a950-4dc1-9830-fc58d49048e1 · inbound

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics cites this paper.

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 4

Resolution
malformed identifier
arxiv_id, observed 2026-05-22T22:32:12.871332Z

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.

source=pdf_text observed=2026-05-22T22:27:18.533162Z digest=sha256:96ed39215c8889104c7a07bcfb892078ec938d8939bdd68491a626a1f98f3583

Observation 685ce474-4585-47ee-9545-9166d04488f1 · inbound

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

On the Surprising Efficacy of LLMs for Penetration-Testing When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-06T21:10:06.738156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:10:06.738156Z digest=sha256:439ebda411933e1fb4d848777728ea0ed3fd9260ea7415ad0db2ce4cd6c2eced

Observation 041659d5-19be-4c6b-a56d-f0db0a4fc0b7 · inbound

Circumventing Safety Alignment in Large Language Models Through Embedding Space Toxicity Attenuation cites this paper.

Circumventing Safety Alignment in Large Language Models Through Embedding Space Toxicity Attenuation When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:13.760965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:13.760965Z digest=sha256:f0fe8bfd43faebd789d9fd6d5869633ca107063a991708b68f6d0690f267607e

Observation 3b81f65b-6993-4cbf-885e-a262f32bd5b5 · inbound

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

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:42:04.656868Z

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.

source=pdf_text observed=2026-05-19T04:37:33.942379Z digest=sha256:3a2e0ca5c6e8cbf630f773042756b0f1de9512151d2200c795fb988818d3ab99

Observation f46b9864-c8e7-4e90-be99-522aa90ba0de · inbound

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

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T05:57:29.527208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.527208Z digest=sha256:f1e4650f31ae3e9c954c678a9169594eb641aab9ec65491ab10ce8fac28715b3

Observation 09debb21-66dd-4e06-8e57-7e8137158297 · inbound

A Survey: Towards Privacy and Security in Mobile Large Language Models cites this paper.

A Survey: Towards Privacy and Security in Mobile Large Language Models When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:17.691699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:17.691699Z digest=sha256:2be17d8b57bbc0d1276d8f07d3e5b49106ce7cd079c8565b7bb63382c478e986

Observation 415a2252-4c04-4f7f-a1ec-ceaa7907e5fe · inbound

Cumplimiento del Reglamento (UE) 2024/1689 en rob\'otica y sistemas aut\'onomos: una revisi\'on sistem\'atica de la literatura cites this paper.

Cumplimiento del Reglamento (UE) 2024/1689 en rob\'otica y sistemas aut\'onomos: una revisi\'on sistem\'atica de la literatura When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T05:58:59.766088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:58:59.766088Z digest=sha256:debaf4be93d92dc49bd60427025a2c7c256c2c416acd64556579072c09e5e50e

Observation d3753283-7266-4245-a467-2b3262959d7b · inbound

VulLink: A Dynamic Open-Access Vulnerability Graph Database for Cybersecurity Data Mining cites this paper.

VulLink: A Dynamic Open-Access Vulnerability Graph Database for Cybersecurity Data Mining When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:35:46.601834Z

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.

source=pdf_text observed=2026-05-10T18:02:39.132736Z digest=sha256:6a0e44e2a18d7bdddfe89195d3c75014d09360414350e6554f1285cdc5f6728b

Observation f535dde2-ba3a-4ae9-9ff7-ca3716948566 · inbound

Cybersecurity Detection Classification with Reasoning-enabled Language Models cites this paper.

Cybersecurity Detection Classification with Reasoning-enabled Language Models When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T06:41:22.167266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T06:41:22.167266Z digest=sha256:a14a61e332b9af14fc33dd2f1a9cdb02ad571900a85be1ffe12175fce6f61104