Paper Citation Record · LEDGER

Active Federated Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1909.12641.

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

pith.paper-citation-record.v1
1909.12641 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:20:21.188594Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:09.162459Z

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 4ce25fed-059b-46f0-86ba-57879b890608 · inbound

TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment cites this paper.

TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment Active Federated Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T13:12:27.201519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa553911-deec-4bca-8b33-68b0bd2096cb · inbound

Adaptive Client Selection with Personalization for Communication Efficient Federated Learning cites this paper.

Adaptive Client Selection with Personalization for Communication Efficient Federated Learning Active Federated Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T11:51:37.892198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d0d29fa-a6c5-453a-91c3-b4c85fa0d70a · inbound

BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT cites this paper.

BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT Active Federated Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T21:57:48.829469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5411e95-2846-4fdf-8c01-b3ed1501ee0d · inbound

Client-Centric Federated Adaptive Optimization cites this paper.

Client-Centric Federated Adaptive Optimization Active Federated Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T19:35:46.847927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e927e623-a1d7-425c-a3d8-64d14a031e24 · inbound

Balancing Client Participation in Federated Learning Using AoI cites this paper.

Balancing Client Participation in Federated Learning Using AoI Active Federated Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.188594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090b125a-b7fc-4b19-b200-9224f1091d39 · inbound

Fairness in Federated Learning: Fairness for Whom? cites this paper.

Fairness in Federated Learning: Fairness for Whom? Active Federated Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:14.767471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9c0911-0863-4706-8b01-5be5f784f5b8 · inbound

Tackling Heterogeneity in Federated Learning via Variance-Reduced Boltzmann Sampling within Homogeneous Social Coalitions cites this paper.

Tackling Heterogeneity in Federated Learning via Variance-Reduced Boltzmann Sampling within Homogeneous Social Coalitions Active Federated Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:03.006757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 510f5f6c-6992-443a-8ebd-570e87cbd128 · inbound

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning cites this paper.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Active Federated Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:21.640401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85172bd7-9c10-45fb-ad95-bc967a3fa168 · inbound

FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View cites this paper.

FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View Active Federated Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T13:15:16.088689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1dca776-0b8b-43fe-9ff9-2474d3e81d07 · inbound

VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems cites this paper.

VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems Active Federated Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:31:13.203892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e8025eaf-b5e1-4547-92e1-57c6994aa359 · inbound

ADKO: Agentic Decentralized Knowledge Optimization cites this paper.

ADKO: Agentic Decentralized Knowledge Optimization Active Federated Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:40:53.361002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f7bf7c22-6658-4376-94cf-c6269bd0b768 · inbound

EvoCSFL: Surrogate-Assisted Evolutionary Client Selection for Efficient and Robust Federated Learning cites this paper.

EvoCSFL: Surrogate-Assisted Evolutionary Client Selection for Efficient and Robust Federated Learning Active Federated Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:07:09.164204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.