Paper Citation Record · LEDGER

Communication-Efficient Federated Learning via Optimal Client Sampling

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2007.15197.

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

pith.paper-citation-record.v1
2007.15197 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:19:12.186848Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:07:27.793760Z

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 9242daca-4d40-4b0c-9dfd-3e581f1d6ad2 · inbound

FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning cites this paper.

FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning Communication-Efficient Federated Learning via Optimal Client Sampling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T18:19:12.186848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7550d45e-0ae2-4cfd-af40-d825e9113479 · inbound

Client-Centric Federated Adaptive Optimization cites this paper.

Client-Centric Federated Adaptive Optimization Communication-Efficient Federated Learning via Optimal Client Sampling

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T19:35:47.106530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdcd4d4e-1f8b-4394-aa86-ddbedd9a5db9 · inbound

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation cites this paper.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Communication-Efficient Federated Learning via Optimal Client Sampling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:39.072124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bf39266-a38f-425d-9d52-3d079dea2685 · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Communication-Efficient Federated Learning via Optimal Client Sampling

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:13:59.721717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf6c220d-6a78-4a68-b7ad-2b7bdd3d2ea7 · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Communication-Efficient Federated Learning via Optimal Client Sampling

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:11:22.926744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a11aba05-e7bf-4ca5-96b8-4728c6cc064d · 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 Communication-Efficient Federated Learning via Optimal Client Sampling

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:07:27.795806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.