Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Semantic Routing for Enhanced Performance of LLM-Assisted Intent-Based 5G Core Network Management and Orchestration
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.15869.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:59:05.121152Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T19:10:54.782175Z
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 ea0614b9-29ba-4f09-b43c-e0539b1c7ffc · inbound
Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems cites this paper.
Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems Semantic Routing for Enhanced Performance of LLM-Assisted Intent-Based 5G Core Network Management and Orchestration
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T19:10:54.787589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 94db83df-2752-42ec-af46-2e8dba200ac7 · inbound
Exploring How LLMs Capture and Represent Domain-Specific Knowledge cites this paper.
Exploring How LLMs Capture and Represent Domain-Specific Knowledge Semantic Routing for Enhanced Performance of LLM-Assisted Intent-Based 5G Core Network Management and Orchestration
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:59:05.121152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1285b1d9-c84e-4025-aca7-3868fb54bc8c · inbound
Engineering Trustworthy Agentic AI for Critical Systems cites this paper.
Engineering Trustworthy Agentic AI for Critical Systems Semantic Routing for Enhanced Performance of LLM-Assisted Intent-Based 5G Core Network Management and Orchestration
Reference 138
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:07:35.902187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.