Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.16198.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-07T12:06:18.999230Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:56:54.114999Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 9e060da7-1250-4ee4-b99a-4e0aabe6ed4a · inbound
ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6418474-0966-4765-8135-ef197cc3c095 · inbound
Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning
Reference 44
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 512c2b76-924c-4375-92e2-d7f3a902abef · inbound
AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning
Reference 95
Source-reported events for the cited work
Unavailable: canonical work link unavailable.