Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.07862.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:18:31.221616Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-24T18:24:48.143831Z
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 b760dd68-7cc3-4e7b-aeb3-4e6fc0d9a8a4 · inbound
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges cites this paper.
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Reference 111
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T18:24:48.146844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 631267c1-0cfc-41f3-9aca-6e2c2199a8c8 · inbound
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access cites this paper.
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:18:31.221616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.