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Paper Citation Record · LEDGER

The Use of Large Language Models (LLM) for Cyber Threat Intelligence (CTI) in Cybercrime Forums

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.03354.

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

pith.paper-citation-record.v1
2408.03354 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:13:04.270509Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T18:06:42.990001Z

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 dfe9c0d3-0f54-4479-aa5f-618d2af6f4e2 · inbound

From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction cites this paper.

From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction The Use of Large Language Models (LLM) for Cyber Threat Intelligence (CTI) in Cybercrime Forums

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:13:04.270509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:13:04.270509Z digest=sha256:3deb99d0f11c9b72d04ea1f729a3c52d2ad3982cf0deae0de2340fc65025ff43

Observation 2ad65aec-4437-4019-9684-16ad5d47b633 · inbound

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities cites this paper.

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities The Use of Large Language Models (LLM) for Cyber Threat Intelligence (CTI) in Cybercrime Forums

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:06:42.992932Z

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.

source=pdf_text observed=2026-05-18T18:04:09.528381Z digest=sha256:3b2e9d9beb1f72d2556d90331a90f6f84e3721a7d8da7e1fc6f3de397e7e1a3c

Observation b4c41f0b-72ee-4205-88d0-482eb7eb2494 · inbound

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence cites this paper.

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence The Use of Large Language Models (LLM) for Cyber Threat Intelligence (CTI) in Cybercrime Forums

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:48.491596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:48.491596Z digest=sha256:0aaa9c32eafb2e7baeecb9b59fdff1792bd2faf4497d7cccf837917b246c901c