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Paper Citation Record · LEDGER

Optimal Client Sampling for Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.13723.

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

pith.paper-citation-record.v1
2010.13723 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:52:41.243301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:07:27.802978Z

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 a49e624b-4971-4ca6-a777-0a3a70db2a9e · inbound

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling cites this paper.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Optimal Client Sampling for Federated Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:41.243301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:41.243301Z digest=sha256:b8333355540e2ba7c05430ce78ae3476feb2c3e90ff92cb2a803f6ad5c6f50c2

Observation 267e1983-2aae-4408-93d6-ad5074267975 · inbound

WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning cites this paper.

WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning Optimal Client Sampling for Federated Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:50:19.319745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:19.319745Z digest=sha256:52064bda9032ada4597c80bcb7c7901a675074621dbdd20a102bb3e334a27fb1

Observation 7e87d133-6fd2-4b16-a5e9-5e68d63f03e7 · inbound

Optimizing Split Federated Learning with Unstable Client Participation cites this paper.

Optimizing Split Federated Learning with Unstable Client Participation Optimal Client Sampling for Federated Learning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:26:33.786095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T15:24:04.079011Z digest=sha256:a5a12f6bc38723d9cce0d66b95e9634e5d886347b25bde5ac467c0c43de7eb6b

Observation 6232081b-f19c-4104-81f7-453eecddbeaf · inbound

FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching cites this paper.

FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching Optimal Client Sampling for Federated Learning

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:07:27.804440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T17:31:55.976607Z digest=sha256:92676bc74d23cf5058a31b19867d710875cf4bb8f6238cb19829ae09ff6da21f