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Paper Citation Record · LEDGER

Artificial Intelligence in 3GPP 5G-Advanced: A Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.05092.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.05092 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:55:26.217887Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T10:28:06.535824Z

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 c7e450ee-7e7a-4cdb-8e6c-c4aceac20a8e · inbound

A Tutorial on Non-Terrestrial Networks: Towards Global and Ubiquitous 6G Connectivity cites this paper.

A Tutorial on Non-Terrestrial Networks: Towards Global and Ubiquitous 6G Connectivity Artificial Intelligence in 3GPP 5G-Advanced: A Survey

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-11T10:28:06.539835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T10:28:05.734855Z digest=sha256:82676ddb032a707275a6f89a52e63f55e19f24e475d78683336a5ce24c242ca3

Observation 21abd084-3cf5-4f60-9ace-c0bbcab715b7 · inbound

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks cites this paper.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Artificial Intelligence in 3GPP 5G-Advanced: A Survey

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T05:55:26.217887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:55:26.217887Z digest=sha256:e8bfc6c83c4a89f93492f3e94d8e5423612b0ace1f0082c31d35ed6be21e348e