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Paper Citation Record · LEDGER

The Power of Extrapolation in Federated Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.13766.

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

pith.paper-citation-record.v1
2405.13766 v5

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:53:06.160330Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:03:21.954133Z

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 fcc8ee5a-abd8-47c4-be01-c78a651bb36d · inbound

Tighter Performance Theory of FedExProx cites this paper.

Tighter Performance Theory of FedExProx The Power of Extrapolation in Federated Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:03:21.957056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T18:58:32.168274Z digest=sha256:eee338512cbef4e0c49ecd50e682b20e81a1abe9db5930d3d7fbe58b5ef50c6d

Observation 8f4b53b5-215e-42c0-b92e-7b1cb76579ff · inbound

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications cites this paper.

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications The Power of Extrapolation in Federated Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:06.160330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:06.160330Z digest=sha256:9ce55a08e76e1deefe30d4a3b66357e33a239d6c155191b4ccdac9c91aea631d