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Paper Citation Record · LEDGER

Maximizing Penetration Testing Success with Effective Reconnaissance Techniques using ChatGPT

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.06391.

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

pith.paper-citation-record.v1
2307.06391 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:27:40.306088Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:16:30.548575Z

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 9ea4c72f-0e6d-40e4-a87c-f9897854db3b · inbound

Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure cites this paper.

Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure Maximizing Penetration Testing Success with Effective Reconnaissance Techniques using ChatGPT

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T04:27:40.306088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:27:40.306088Z digest=sha256:7d81411e63ab57aed0b48d861bcbf1a947d1a90f3d9819128fd92a81aaac61e7

Observation aeda449b-6d37-4764-8f0a-41ad9d9e376b · inbound

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

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Maximizing Penetration Testing Success with Effective Reconnaissance Techniques using ChatGPT

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:24:31.264941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:24:26.197523Z digest=sha256:e0f552d245c125cafc7d268ab5c9c76a8a04a99541e52ff263c242a7d673b106