Paper Citation Record · LEDGER

Fair Resource Allocation in Federated Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:1905.10497.

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

pith.paper-citation-record.v1
1905.10497 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:32:54.529386Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

356
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5553a780-a77a-4813-ba1d-be1298f3a251 · inbound

Federated Learning: Challenges, Methods, and Future Directions cites this paper.

Federated Learning: Challenges, Methods, and Future Directions Fair Resource Allocation in Federated Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-14T11:57:36.185885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d528f0f9-d4dd-4a45-b626-9dfbd6b78627 · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization Fair Resource Allocation in Federated Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:30:58.798141Z

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 19960392-a9d7-4776-afbc-bdd0b2869d09 · inbound

FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning cites this paper.

FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning Fair Resource Allocation in Federated Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T04:25:52.541644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6846c745-2e51-4a24-86e5-9af24c619843 · inbound

Incentive-Compatible Federated Learning with Stackelberg Game Modeling cites this paper.

Incentive-Compatible Federated Learning with Stackelberg Game Modeling Fair Resource Allocation in Federated Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:02.709317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac14a11a-ee63-4a1c-9d26-e69d9d608cb0 · inbound

Temporal Analysis of Adversarial Attacks in Federated Learning cites this paper.

Temporal Analysis of Adversarial Attacks in Federated Learning Fair Resource Allocation in Federated Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T18:43:48.902114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8efc0e06-a833-4106-a2b5-81288f2b73bf · inbound

A Post-Processing-Based Fair Federated Learning Framework cites this paper.

A Post-Processing-Based Fair Federated Learning Framework Fair Resource Allocation in Federated Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:28:00.544656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0d145f6-5600-4643-ae82-a48d71affd78 · inbound

Graph Federated Learning Based Proactive Content Caching in Edge Computing cites this paper.

Graph Federated Learning Based Proactive Content Caching in Edge Computing Fair Resource Allocation in Federated Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T21:39:23.807346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae972fe-05d9-4287-9e0f-30748bad787b · inbound

RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility cites this paper.

RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility Fair Resource Allocation in Federated Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:07:14.204510Z

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 70844dd3-43cf-43dd-bb67-8aa118e39c38 · inbound

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

Fairness in Federated Learning: Fairness for Whom? Fair Resource Allocation in Federated Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:17.526795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3fd8009-9835-479a-bff6-208c69edb80e · inbound

A Multi-Objective Optimization framework for Decentralized Learning with coordination constraints cites this paper.

A Multi-Objective Optimization framework for Decentralized Learning with coordination constraints Fair Resource Allocation in Federated Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:19:47.095567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07e25422-cd57-4386-a73f-0f480fa60ff2 · inbound

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning cites this paper.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Fair Resource Allocation in Federated Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T05:47:56.636449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f0fa50-03ad-42ee-8ea6-0885adfa7b1a · inbound

FAIRVAR: Fair Federated Learning via Variance Regularization cites this paper.

FAIRVAR: Fair Federated Learning via Variance Regularization Fair Resource Allocation in Federated Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:32:54.529386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03eebf9c-3e7e-40c4-a626-55cac070f64f · inbound

Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge cites this paper.

Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge Fair Resource Allocation in Federated Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:26:14.399921Z

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 da55b542-38a6-4b0f-98bd-7cb215a02db6 · inbound

FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility cites this paper.

FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility Fair Resource Allocation in Federated Learning

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T03:00:48.647155Z

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 e342625e-107f-4f71-88c5-50988a285d06 · inbound

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning cites this paper.

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning Fair Resource Allocation in Federated Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:38:37.881895Z

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 17946145-ee0f-4af1-8106-39ea124263a5 · inbound

Federated Cross-Modal Retrieval with Missing Modalities via Semantic Routing and Adapter Personalization cites this paper.

Federated Cross-Modal Retrieval with Missing Modalities via Semantic Routing and Adapter Personalization Fair Resource Allocation in Federated Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:06:09.250764Z

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 7306b63b-680e-4bb5-9b80-5985879af87c · inbound

HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning cites this paper.

HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning Fair Resource Allocation in Federated Learning

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:32:34.814066Z

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 9ec36e06-2eb2-4e60-891a-68a160af2881 · inbound

QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning cites this paper.

QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning Fair Resource Allocation in Federated Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:15.724496Z

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 a8cc8932-4426-49d7-ae92-07311bdc82d2 · 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 Fair Resource Allocation in Federated Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:07:27.809307Z

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 24216175-579a-42eb-a6b4-9ffdcb2458e8 · inbound

Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning cites this paper.

Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning Fair Resource Allocation in Federated Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:29.744098Z

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.