Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10149.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:43.536990Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T07:31:27.006394Z
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 4f728629-6a63-4c53-8c18-85cd4584f560 · inbound
Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications cites this paper.
Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:10:43.536990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37059304-4dd6-43c3-a587-00a3e7ecca36 · inbound
Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning cites this paper.
Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:31:27.012974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.