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Paper Citation Record · LEDGER

Federated Learning for 6G: Applications, Challenges, and Opportunities

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.01338.

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

pith.paper-citation-record.v1
2101.01338 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:54:14.829457Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:05:17.569154Z

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 09e53b0b-e179-4ff0-881a-201f51a6dea0 · inbound

6G Cellular Networks: Mapping the Landscape for the IMT-2030 Framework cites this paper.

6G Cellular Networks: Mapping the Landscape for the IMT-2030 Framework Federated Learning for 6G: Applications, Challenges, and Opportunities

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:05:17.574127Z

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=2026-08-10T15:05:16.785850Z digest=sha256:6d9165dc6b9160a4c55825eea53490139ea51eeb01e3fe4e623cedf62e570ac5

Observation 1ee945f7-9aa1-411b-b9fa-c31b062ae361 · 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 Federated Learning for 6G: Applications, Challenges, and Opportunities

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:14.829457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:54:14.829457Z digest=sha256:a8fbedc4263ee0242045b86460d69990c6cd149ac808c152ed822c73659c184d