Pith. sign in

Paper Citation Record · LEDGER

Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.06250.

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

pith.paper-citation-record.v1
2308.06250 v2

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:54:14.575584Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:39:46.354824Z

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 fe4053de-745c-456e-8811-944b2b0cc025 · inbound

Enhancing QoS in Edge Computing through Federated Layering Techniques: A Pathway to Resilient AI Lifelong Learning Systems cites this paper.

Enhancing QoS in Edge Computing through Federated Layering Techniques: A Pathway to Resilient AI Lifelong Learning Systems Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:39:46.565579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T13:39:44.204901Z digest=sha256:8953c5e2ea6eb67c28ba87774de4d8a523fd1b2170a781820cca9b1cdbccf36b

Observation 699d17cf-d6c6-4617-bef4-fc22aa94a875 · inbound

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks cites this paper.

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:14.575584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:14.575584Z digest=sha256:8ab5035f948ac869b71365129fd8e3e13215171d509c891d1764850db0f616c4