Paper Citation Record · LEDGER

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.20431.

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

pith.paper-citation-record.v1
2506.20431 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:41.339781Z

measured 36 of 36 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 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

36 of 36 outbound references displayed

verified exact3
verified fuzzy8
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0101aac-e2f1-4e4a-94bb-0beb61c613cc · outbound

This paper cites Zhang, Y.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Zhang, Y

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:52:45.771854Z

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 eb171267-c8ae-4316-8593-b26425c29203 · outbound

This paper cites McMahan, E.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation McMahan, E

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:52:45.677518Z

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 f51c6e70-37d3-49f2-9e94-ad6771193f06 · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:45.543774Z

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 ad4bd3f7-1833-4eaf-b22d-9b380c67dd34 · outbound

This paper cites Federated Learning with Non-IID Data.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Federated Learning with Non-IID Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:38.545634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f64723be-e1f2-47a7-b1b5-7b32e3a8523f · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:45.437070Z

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 239c833e-c171-4045-bffb-329eeea85e0f · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:45.311995Z

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 26bfc576-3f74-4710-a4c9-190897cac99e · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:45.162982Z

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 637ae18f-d846-4857-8424-d7977b25e607 · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:45.020908Z

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 8361aaa7-a8bb-4a60-8fbd-03fb2f5627be · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:44.865487Z

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 bdcd4d4e-1f8b-4394-aa86-ddbedd9a5db9 · outbound

This paper cites Communication-Efficient Federated Learning via Optimal Client Sampling.

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 5c1813ee-d2a1-4668-9334-ced156400c89 · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:44.696761Z

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 e9cfcfbc-838c-4b1c-ac06-9ebba7acd01f · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:44.542736Z

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 920b8a47-f759-4228-955f-c12a691ed957 · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:44.391348Z

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 51478fb1-75af-45c2-901e-a2d753964dbb · outbound

This paper cites Li, D.-C.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Li, D.-C

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:52:44.208143Z

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 f181d46d-3eed-4e33-a4d7-59be6d6ff047 · outbound

This paper cites Zhang, Y.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Zhang, Y

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:52:44.025992Z

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 6025fece-e425-46e1-adf5-9bbb1cfe3e79 · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:43.863322Z

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 2594e441-1f16-4fd2-9aef-089769c469bc · outbound

This paper cites Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:52:42.135684Z

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 170016cc-8097-416f-ac3f-f8b99e8992b6 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:39.717052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f5a7a5d-88fd-4571-a8d6-9de01fb95310 · outbound

This paper cites Zhang, L.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Zhang, L

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:52:43.683342Z

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 ad2ddecf-d824-41f1-932f-072c1b03f3cf · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Distilling the Knowledge in a Neural Network

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:39.910801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e893ef4-28a1-4604-a746-359a4315b5fb · outbound

This paper cites Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:39.994072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10fb3272-81c2-4fa8-a074-d468faef0093 · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:40.079451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3fe519b-08b5-401e-ac27-8fcbd8ab411e · outbound

This paper cites Federated Knowledge Distillation.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Federated Knowledge Distillation

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:52:41.898944Z

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 cf4ae9cb-b856-41f3-81fe-fb3d53cd0abc · outbound

This paper cites Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:40.261436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c219fc7d-10a8-4e98-ba8a-2646d10aee94 · outbound

This paper cites Xiong, R.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Xiong, R

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:52:43.513571Z

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 3c1c2617-e8c3-4610-97c3-084cd8832ab2 · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:43.356501Z

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 6c2c64dd-4ea0-44cb-863c-fa648ca8af31 · outbound

This paper cites Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:52:41.661039Z

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 0172acb0-8e09-4f5f-98af-940115e6e94f · outbound

This paper cites Conditional Generative Adversarial Nets.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Conditional Generative Adversarial Nets

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:40.593487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3604f1e-245b-4e73-b9ff-5ffeec53e961 · outbound

This paper cites FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:40.666203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56eae987-524c-465c-8033-64537a4794d6 · outbound

This paper cites Furlanello, Z.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Furlanello, Z

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:52:43.196619Z

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 d12e9a7e-90af-4df5-a3fa-722f2734bdd0 · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:42.961871Z

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 12b845ac-e7c7-4deb-be60-bf7baa9e82a2 · outbound

This paper cites Revisiting Knowledge Distillation via Label Smoothing Regularization.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Revisiting Knowledge Distillation via Label Smoothing Regularization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:40.960442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5fd6cd-f100-44fe-b0dd-9b49749c93cb · outbound

This paper cites Federated Learning with Matched Averaging.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Federated Learning with Matched Averaging

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:41.048505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cdc981d-8767-4786-a69a-9f6572f88739 · outbound

This paper cites Self-Knowledge Distillation with Progressive Refinement of Targets.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Self-Knowledge Distillation with Progressive Refinement of Targets

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:41.154912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 323d86f9-0c29-4f30-8426-0ef94f507ef4 · outbound

This paper cites an unresolved cited work.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:52:42.655374Z

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 eb5aa57b-36c2-4b12-99dc-ade51fbed962 · outbound

This paper cites Kairouz, H.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Kairouz, H

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:52:42.397423Z

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.

Pith citing papers

No inbound Pith citation observations are available.