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Paper Citation Record · LEDGER

Statistical Estimation and Inference via Local SGD in Federated Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.01326.

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

pith.paper-citation-record.v1
2109.01326 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:35:25.666238Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:15:21.370989Z

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 af517b3b-28ae-40bf-b10d-14430362bfeb · inbound

Online Covariance Matrix Estimation in Sketched Newton Methods cites this paper.

Online Covariance Matrix Estimation in Sketched Newton Methods Statistical Estimation and Inference via Local SGD in Federated Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:15:21.373653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T03:12:32.861939Z digest=sha256:bb9f02b4da1f18ceef20832e875aedcf58ea5a48f0c20a00a7d37889e0a173a9

Observation 589ef146-8f4a-4082-a5fc-dee4d511edaf · inbound

Toward Optimal Statistical Inference in Noisy Linear Quadratic Reinforcement Learning over a Finite Horizon cites this paper.

Toward Optimal Statistical Inference in Noisy Linear Quadratic Reinforcement Learning over a Finite Horizon Statistical Estimation and Inference via Local SGD in Federated Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T21:35:25.666238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:35:25.666238Z digest=sha256:5cb3fbc3e8bfdb0fb61c1ddf28a3ca517cdf68cf023520888550ff4ac71d1957