Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.17590.
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 2026-08-06T18:10:14.749361Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T13:21:20.500757Z
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 d1661313-087b-420c-a792-74d0ac533ed7 · inbound
Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3df8eed7-45a3-4547-8b35-49abfb5d2573 · inbound
ZODIAC: Zero-shot Offline Diffusion for Inferring Multi-xApps Conflicts in Open Radio Access Networks Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach
Reference 4
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 81def86d-a950-4c42-935d-c25cd5d7cb3c · inbound
Sutured manifold hierarchies and the Thurston norm Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.