Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
End-to-End Edge AI Service Provisioning Framework in 6G ORAN
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.11933.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T21:29:48.542884Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:17:22.173407Z
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 28ce3380-0e71-4de2-a070-cec95b23419d · inbound
A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks cites this paper.
A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks End-to-End Edge AI Service Provisioning Framework in 6G ORAN
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:30:53.134517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f4e7941a-00bf-47b3-a25d-4c6cee50fe68 · inbound
Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks cites this paper.
Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks End-to-End Edge AI Service Provisioning Framework in 6G ORAN
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T20:17:22.174695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4c8b6d55-e28f-46d7-bf32-1cb9b8a591ac · inbound
LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization cites this paper.
LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization End-to-End Edge AI Service Provisioning Framework in 6G ORAN
Reference 117
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:29:48.542884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.