Paper Citation Record · LEDGER

Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.15656.

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

pith.paper-citation-record.v1
2407.15656 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:36:29.274127Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:16:58.753219Z

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 b18adbdc-8200-40c8-8a26-99bd23fff732 · inbound

Attack Effect Model based Malicious Behavior Detection cites this paper.

Attack Effect Model based Malicious Behavior Detection Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:29.274127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36298220-f768-49aa-bd7d-9c3239d7aece · inbound

APT-Agent: Automated Penetration Testing using Large Language Models cites this paper.

APT-Agent: Automated Penetration Testing using Large Language Models Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:14:04.090994Z

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.

Observation aeacfcc8-4ee6-4849-a5cf-89fd6584c2bf · inbound

ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense cites this paper.

ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:16:58.754900Z

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.

Observation 6259fb45-5822-4922-940b-d683c5548267 · inbound

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

VulnGym: Evaluating Vulnerability Management Strategies against Advanced Persistent Threats Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T11:52:38.825692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.