Paper Citation Record · LEDGER

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.08617.

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

pith.paper-citation-record.v1
2507.08617 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:24:53.196929Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact2
verified fuzzy7
unresolved31
parse uncertain2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b022c172-869c-4ce5-9717-d3507b35ef1a · outbound

This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:24:57.280890Z

Source-reported events for the cited work

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Observation 5275ba8b-cd84-43c0-b168-73eb9b4d36a0 · outbound

This paper cites Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:24:53.820533Z

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Observation 5957ae20-6af8-46df-ace2-16cb0b66bc29 · outbound

This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 77262735-0122-469c-96e7-97b3021421f2 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Distilling the Knowledge in a Neural Network

Reference 4

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Observation 75731ead-c9ee-4984-a2f0-d2a5212a0702 · outbound

This paper cites Stich, and Ananda Theertha Suresh.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Stich, and Ananda Theertha Suresh

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.903355Z

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Observation d7f8d428-90d5-4103-8cd2-c1ed07980cb9 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Federated Learning: Strategies for Improving Communication Efficiency

Reference 6

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Source-reported events for the cited work

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:24:56.811070Z

Source-reported events for the cited work

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This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 8

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This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation ea460242-8bbf-45dd-885d-a481e6a4a54f · outbound

This paper cites Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, and Virginia Smith.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, and Virginia Smith

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.570069Z

Source-reported events for the cited work

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Observation cde5e71e-f84b-4d74-9203-f415df7fdf13 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift On the Convergence of FedAvg on Non-IID Data

Reference 11

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Source-reported events for the cited work

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Observation 7c875951-b3fd-4a11-8ee5-7bfd9ce120fd · outbound

This paper cites Focal Loss for Dense Object Detection.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Focal Loss for Dense Object Detection

Reference 12

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This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 13

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Observation 61f81974-a7b0-4f19-9614-a6243646286b · outbound

This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 14

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This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation ffa7a7c6-a01a-4834-af1f-b10056d42577 · outbound

This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 16

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 17

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Observation ca7206cf-11ad-48fb-b043-4dbc6786d35e · outbound

This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 18

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This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:24:56.121020Z

Source-reported events for the cited work

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 20

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Observation 791ab31d-c506-437d-a0dd-e8849873a5d2 · outbound

This paper cites Wickramaratne and Md Shaad Mahmud.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Wickramaratne and Md Shaad Mahmud

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:55.933219Z

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Observation 190fb0bb-5d5d-412f-8877-c9d0db142cc0 · outbound

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 22

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 23

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Observation abc6580d-b417-4a48-8112-8bb6fdd0199a · outbound

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 24

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 26

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Observation 964a8b47-bfa8-4fde-be39-1a95b495565c · outbound

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 27

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Source-reported events for the cited work

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 28

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 29

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Reference 30

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 31

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Observation 1bea0ad5-192b-49a1-bd8e-d7f76e51f231 · outbound

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Reference 37

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift update) (1) 0.5 (2) 5.0 (3) 0.05 (4) 1.0 CGSV

Reference 38

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Observation d52bec70-6e3d-49df-baec-2ae3d6240536 · outbound

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Reference 39

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Observation 2ffcb816-9c3f-4898-bf8e-fdf776785587 · outbound

This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 40

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Observation 5453efbf-73b3-4229-aba2-fc7231a13b99 · outbound

This paper cites coeff.) 0.01 FedSAC 1) BETA (c_i mapping).

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift coeff.) 0.01 FedSAC 1) BETA (c_i mapping)

Reference 41

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Observation 71df775d-b34f-4e9b-ba92-e94edc04d372 · outbound

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Reference 42

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Observation 466ffdef-a470-4172-8ba4-16cbb6aaca44 · outbound

This paper cites an unresolved cited work.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 43

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Observation 30461db4-94f1-410b-b8ab-e4a88a14f0ea · outbound

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Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Unresolved cited work

Reference 44

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Observation d1978c1d-44e4-4817-9658-59d46ca7a902 · outbound

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Reference 857

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Observation 126eac0f-1019-4b59-9469-7f1c1c0a3df8 · outbound

This paper cites In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:56.428181Z

Source-reported events for the cited work

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Observation 1a630c6a-48aa-4fc5-8007-2b9e759e99f1 · outbound

This paper cites Federated Learning with Non-IID Data.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift Federated Learning with Non-IID Data

Reference 2018

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This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2022

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.