Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep hierarchical reinforcement agents for automated penetration testing
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.06449.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:11:10.045952Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T16:41:38.223898Z
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 c25c7df7-9357-45d6-84db-e4a11fc879fd · inbound
Training RL Agents for Multi-Objective Network Defense Tasks cites this paper.
Training RL Agents for Multi-Objective Network Defense Tasks Deep hierarchical reinforcement agents for automated penetration testing
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:10.045952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edfc6776-d7ca-4b69-b1ea-c84665dc253a · inbound
xOffense: An Autonomous Multi-Agent Framework for Penetration Testing with Domain-Adapted Large Language Models cites this paper.
xOffense: An Autonomous Multi-Agent Framework for Penetration Testing with Domain-Adapted Large Language Models Deep hierarchical reinforcement agents for automated penetration testing
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T16:41:38.226839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.