Paper Citation Record · LEDGER

Optimal Client Sampling for Federated Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:32:44.697957Z

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 2dcfd0be-26ef-4706-b3cf-99146117d602 · inbound

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models cites this paper.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Optimal Client Sampling for Federated Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.320879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8b4af0-39ce-476f-afc8-a6decfa7bd21 · inbound

Client-Centric Federated Adaptive Optimization cites this paper.

Client-Centric Federated Adaptive Optimization Optimal Client Sampling for Federated Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T19:35:46.785711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5906e0c9-8d29-43aa-80dc-f74354297693 · inbound

Energy-Efficient Federated Learning for AIoT using Clustering Methods cites this paper.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Optimal Client Sampling for Federated Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:44.697957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b15708d6-83cf-4fa4-837c-820c5ac27b52 · inbound

RIFLES: Resource-effIcient Federated LEarning via Scheduling cites this paper.

RIFLES: Resource-effIcient Federated LEarning via Scheduling Optimal Client Sampling for Federated Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:25:26.381313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.