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Paper Citation Record · LEDGER

Autonomous Penetration Testing using Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.05965.

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

pith.paper-citation-record.v1
1905.05965 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:31:51.307799Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:31:51.985700Z

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 98bc48af-4cb4-42e1-aa2a-2798c6e59b98 · inbound

Reinforcement Learning for Automated Cybersecurity Penetration Testing cites this paper.

Reinforcement Learning for Automated Cybersecurity Penetration Testing Autonomous Penetration Testing using Reinforcement Learning

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:31:52.052781Z

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=arxiv_source observed=2026-08-06T21:31:51.307799Z digest=sha256:88fe9381df8ad6357e416e0d47b9a1824534fbce16b67efce828c00c33b117bb

Observation a5e22f6a-ca5c-4d82-a11b-a1dc7ef8e77a · inbound

VulnGym: Evaluating Vulnerability Management Strategies against Advanced Persistent Threats cites this paper.

VulnGym: Evaluating Vulnerability Management Strategies against Advanced Persistent Threats Autonomous Penetration Testing using Reinforcement Learning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-07-31T11:52:39.072784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T11:52:39.072784Z digest=sha256:214cc3c6d6245c2e6919c74a1bd29d570f346ce476138c7e760c652f4a4e7000