Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.14171.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:48:18.827616Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:44:09.166745Z
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 eb5583ad-35df-40a1-8a7f-bc91d4498c7e · inbound
Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems cites this paper.
Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:48:18.827616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e17ac07b-b57a-44b9-ace5-a69efb3f43ad · inbound
Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN cites this paper.
Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T14:44:09.171966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.