Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Inroads into Autonomous Network Defence using Explained Reinforcement Learning
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.09318.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:44:17.551544Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:56:37.644881Z
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 f9f38285-e333-4884-aaca-3b687848d262 · inbound
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems cites this paper.
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:44:17.551544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11c87942-2cec-4280-8348-1e38a379147c · inbound
Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence cites this paper.
Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:02:40.864353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d08dd40a-5faf-4a5b-9ba1-7ef417bfa29b · inbound
Optimal Security Response to Network Intrusions in IT Systems cites this paper.
Optimal Security Response to Network Intrusions in IT Systems Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:52:20.179745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53fdf076-33e5-4d6c-8a3e-1c8547239467 · inbound
Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents cites this paper.
Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:56:37.648083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ec724c20-b1f3-4690-b629-4f0b78fd465c · inbound
Adaptive Network Security Policies via Belief Aggregation and Rollout cites this paper.
Adaptive Network Security Policies via Belief Aggregation and Rollout Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:57:04.542153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.