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Paper Citation Record · LEDGER

Towards Explainable Network Intrusion Detection using Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.04342.

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

pith.paper-citation-record.v1
2408.04342 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:11:46.384950Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:44:21.192526Z

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 bf174d16-2ce0-4e8b-875a-ea9009fb8e75 · inbound

LLM-based event log analysis techniques: A survey cites this paper.

LLM-based event log analysis techniques: A survey Towards Explainable Network Intrusion Detection using Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:46.384950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:11:46.384950Z digest=sha256:60b5d44538622dd40f3c6a317c12a21f07ad7d373ff7f983f321aaddfdb9cb02

Observation 2631e992-56e6-4fbc-9d61-fcf60bd419b8 · inbound

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions cites this paper.

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions Towards Explainable Network Intrusion Detection using Large Language Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:44:21.203148Z

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.

source=pdf_text observed=2026-08-06T19:44:20.962926Z digest=sha256:cc4bfada8d0501a12f9c5482db9c97f018e33c3f81be43e7ce7ae7d6226f66b0

Observation 33c92988-db8c-4a23-8476-309d5857a17c · inbound

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

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Towards Explainable Network Intrusion Detection using Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:22.769118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:22.769118Z digest=sha256:7141119b9d6f3cfd5366f8bcb00c9fde304190f0e107dd84b933ab5ebdbfc94c

Observation 4128d971-a4d1-40c3-acdb-69edba8d29c7 · inbound

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

Large Language Models for Security Operations Centers: A Comprehensive Survey Towards Explainable Network Intrusion Detection using Large Language Models

Reference 218

Resolution
unresolved
no resolver link, observed 2026-08-04T17:32:21.455905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:32:21.455905Z digest=sha256:a635968596d624a307dbf8d180e8472e66c1e2b54719844aa0ed362097076c2e

Observation 47d0e22f-37f3-44be-b122-e780c0638e76 · inbound

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations cites this paper.

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations Towards Explainable Network Intrusion Detection using Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T00:34:16.781418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:34:16.781418Z digest=sha256:1fdf31e5432fc7a1d5327c496422a7cd5608f8febefcd68e38a554ab1991a2e8