Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.18066.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:41:15.911526Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T15:04:46.850428Z
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 2268dd02-ac26-460e-bafa-053fdcd1bde8 · inbound
Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems cites this paper.
Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:15.911526Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 656e5ded-6741-4e17-90e5-35a82da2daf7 · inbound
Resilience under Uncertainty: Securing 6G through Stochastic Reinstantiation of RAN Functions cites this paper.
Resilience under Uncertainty: Securing 6G through Stochastic Reinstantiation of RAN Functions Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:33:09.517762Z
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 f181e085-2099-4a18-8ad0-d78b491957c0 · inbound
Joint Outage Detection and Compensation for Self-Healing 5G RAN via Deep Reinforcement Learning cites this paper.
Joint Outage Detection and Compensation for Self-Healing 5G RAN via Deep Reinforcement Learning Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T15:04:46.851951Z
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.