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Paper Citation Record · LEDGER

Federated Learning in Vehicular Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.01412.

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

pith.paper-citation-record.v1
2006.01412 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:14:34.091064Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:15:56.899152Z

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 1d7494e5-e002-4d10-88ff-44881d8d74a0 · inbound

On the Theoretical Foundations of Data Exchange Economies cites this paper.

On the Theoretical Foundations of Data Exchange Economies Federated Learning in Vehicular Networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T00:14:34.091064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:14:34.091064Z digest=sha256:6a66f1794c7a9b84939dae7339a02630b4bb924180584a61397f7b38d2a68d1c

Observation 262c5dc5-7eab-4135-b609-f7ad9e324e95 · inbound

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness cites this paper.

What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness Federated Learning in Vehicular Networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:21.430032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:27:21.430032Z digest=sha256:47b9164ea2aa0b13f3c6b006e41feca0ffc09f28fe675f713ee3596f48088eaa

Observation 2a8130f5-f0b4-4b81-bbae-21b3a487a35d · inbound

Distributed Online Convex Optimization with Compressed Communication: Optimal Regret and Applications cites this paper.

Distributed Online Convex Optimization with Compressed Communication: Optimal Regret and Applications Federated Learning in Vehicular Networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:15:56.901382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T17:44:29.076520Z digest=sha256:bc87e4b557832f2d68593f44675af9042b75be0256a7d188d76ca99bff99f212