Paper Citation Record · LEDGER

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning

As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2606.16304.

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

pith.paper-citation-record.v1
2606.16304 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-15T10:46:07.438824Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

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verified fuzzy0
unresolved44
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malformed identifier0
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External citation measurements

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Outbound references

Observation 8c88acc7-b9b9-47a9-b41f-d31bcdbb0e7e · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Communication-efficient learning of deep networks from decentralized data

Reference 1

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Observation 87f88ec0-27fb-457f-9f13-2a5026a83a07 · outbound

This paper cites Advances and open problems in federated learning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Advances and open problems in federated learning

Reference 2

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Observation 36836ed9-0171-4cb0-a83c-445031fb773f · outbound

This paper cites Federated learning: Challenges, methods, and future directions.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Federated learning: Challenges, methods, and future directions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation a3c34f1a-6e15-48fa-9d7b-f4fc734694fd · outbound

This paper cites an unresolved cited work.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Unresolved cited work

Reference 4

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Observation 750fe0d8-eb7a-4ac1-866f-666ef0881aa5 · outbound

This paper cites Machine unlearning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Machine unlearning

Reference 5

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Observation 25f5f7dc-ded4-4bd1-a654-edd0d63e985f · outbound

This paper cites Understanding black-box predictions via influence functions.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Understanding black-box predictions via influence functions

Reference 6

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Observation 14036f69-e170-4b37-9301-aedd6e4f4de0 · outbound

This paper cites Machine unlearning: A survey.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Machine unlearning: A survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 546b2a2a-044c-452e-8469-0075bc8858dd · outbound

This paper cites Federated unlearning: A survey on methods, design guidelines, and evaluation metrics.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Federated unlearning: A survey on methods, design guidelines, and evaluation metrics

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 19975fcf-7c11-4f9f-883c-3c0ad4e82e21 · outbound

This paper cites FedEraser: Enabling efficient client-level data removal from federated learning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning FedEraser: Enabling efficient client-level data removal from federated learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation f0e1850a-0325-46e2-80e8-4e646daa4d87 · outbound

This paper cites Asynchronous federated unlearning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Asynchronous federated unlearning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation f07b75e4-714a-4517-9472-4b0fd9a26fd7 · outbound

This paper cites FedRecovery: Differentially private machine unlearning for federated learning frameworks.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning FedRecovery: Differentially private machine unlearning for federated learning frameworks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 2efd5977-9e1c-4667-9d69-78fc7518b43f · outbound

This paper cites Unlearning during learning: An efficient federated machine unlearning method.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Unlearning during learning: An efficient federated machine unlearning method

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation df588011-edb5-4528-8f07-ce7b78d7d1ba · outbound

This paper cites Federated unlearning with gradient descent and conflict mitigation.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Federated unlearning with gradient descent and conflict mitigation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 5b2b21e6-8051-41f6-88fe-f7b4562d7c45 · outbound

This paper cites Federated unlearning via class-discriminative pruning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Federated unlearning via class-discriminative pruning

Reference 14

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Observation 9c5515ec-a7f1-40ed-9219-0b7545120775 · outbound

This paper cites Federated Unlearning: How to Efficiently Erase a Client in FL?.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Federated Unlearning: How to Efficiently Erase a Client in FL?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation d3dca6aa-00f5-4115-8181-1d4139d07d07 · outbound

This paper cites Ferrari: Federated feature unlearning via optimizing feature sensitivity.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Ferrari: Federated feature unlearning via optimizing feature sensitivity

Reference 16

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Observation cd377197-de87-4631-9e9f-0e234ed013d4 · outbound

This paper cites A survey on federated unlearning: Challenges and opportunities.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning A survey on federated unlearning: Challenges and opportunities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 7e974420-4198-47cb-92a8-ea257f7430b4 · outbound

This paper cites VeriFi: Towards verifiable federated unlearning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning VeriFi: Towards verifiable federated unlearning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 79f596c2-a752-431f-a18d-5e745cd5d6f6 · outbound

This paper cites Federated optimization in heterogeneous networks.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Federated optimization in heterogeneous networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 09793301-8c0b-4775-a57e-9450b39e2de0 · outbound

This paper cites Towards personalized federated learning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Towards personalized federated learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 9dbd09de-1d48-4071-b405-b5ea6bffd73f · outbound

This paper cites Federated Learning with Personalization Layers.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Federated Learning with Personalization Layers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 1ab3070e-8dc1-4fd8-9008-8d64881c1b78 · outbound

This paper cites Exploiting shared representations for personalized federated learning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Exploiting shared representations for personalized federated learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation b51797fd-010b-4b60-9bbf-7d07599dd1f0 · outbound

This paper cites Ditto: Fair and robust federated learning through personalization.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Ditto: Fair and robust federated learning through personalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation f903a6f5-fef5-4e93-ba63-24e5458ae1bb · outbound

This paper cites FedBN: Federated learning on non-IID features via local batch normalization.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning FedBN: Federated learning on non-IID features via local batch normalization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 09991b9d-d47f-4060-bed9-c9d098b34a24 · outbound

This paper cites FedALA: Adaptive local aggregation for personalized federated learning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning FedALA: Adaptive local aggregation for personalized federated learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 75d087e6-3fa9-4fa2-89e1-224c5172bb69 · outbound

This paper cites Zero-shot federated unlearning via transforming from data-dependent to personalized model-centric.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Zero-shot federated unlearning via transforming from data-dependent to personalized model-centric

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 61df79c6-3234-46a4-b8a0-d4cf7e167729 · outbound

This paper cites Mimir: Data-free federated unlearning through client-specific prompt generation for personalized models.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Mimir: Data-free federated unlearning through client-specific prompt generation for personalized models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation dea48ab7-3c2c-44d0-9755-f44a83a9e789 · outbound

This paper cites Unlearning through knowledge overwriting: Reversible federated unlearning via selective sparse adapter.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Unlearning through knowledge overwriting: Reversible federated unlearning via selective sparse adapter

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 87f2242c-6e31-4e1b-a2a7-cf5ca68cf7da · outbound

This paper cites A survey of machine unlearning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning A survey of machine unlearning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 7ca97cd0-df0f-4b0e-bac2-5ed163080baa · outbound

This paper cites Remember what you want to forget: Algorithms for machine unlearning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Remember what you want to forget: Algorithms for machine unlearning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation d862753b-263a-4474-a84d-9a8fa9e914f7 · outbound

This paper cites Unrolling SGD: Understanding factors of influence in machine unlearning.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Unrolling SGD: Understanding factors of influence in machine unlearning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation e5cf61e8-1fc9-48ae-9f5f-2069c5d552cf · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Overcoming catastrophic forgetting in neural networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation eb6b0f79-f9c4-4ced-9dc4-1cfe4c87c7df · outbound

This paper cites The right to be forgotten in federated learning: An efficient realization with rapid retraining.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning The right to be forgotten in federated learning: An efficient realization with rapid retraining

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation a3abd2dd-bce7-448c-a836-417bb7ce5b93 · outbound

This paper cites Machine unlearning of federated clusters.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Machine unlearning of federated clusters

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 06132d32-809f-4210-b410-a72b76283c4f · outbound

This paper cites NoT: Federated unlearning via weight negation.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning NoT: Federated unlearning via weight negation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 1d8b415a-f035-4f8b-b879-768ab04effe6 · outbound

This paper cites Fast federated machine unlearning with nonlinear functional theory.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Fast federated machine unlearning with nonlinear functional theory

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 3c8d2916-0d47-47ea-aa5a-ccf540543914 · outbound

This paper cites Federated unlearning for on-device recommendation.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Federated unlearning for on-device recommendation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation a459bb1f-fb34-4e3b-9aca-74458f1e696b · outbound

This paper cites Sequential informed federated unlearning: Efficient and provable client unlearning in federated optimization.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Sequential informed federated unlearning: Efficient and provable client unlearning in federated optimization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation b506253e-dc85-4a44-ad16-9da34af2ffb6 · outbound

This paper cites Federated learning on non-IID data silos: An experimental study.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Federated learning on non-IID data silos: An experimental study

Reference 39

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Observation 75e9eaa8-9d41-4a57-84b7-0548103f65d9 · outbound

This paper cites On bridging generic and personalized federated learning for image classification.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning On bridging generic and personalized federated learning for image classification

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation c19088c0-cb4f-4518-a939-31d90a657efc · outbound

This paper cites Personalized federated learning with Moreau envelopes.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Personalized federated learning with Moreau envelopes

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation e0d7a9ae-dea2-436c-a19d-9bf3e30dcc83 · outbound

This paper cites Membership inference attacks against machine learning models.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Membership inference attacks against machine learning models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 67e26967-529b-413e-889d-92267014d6d7 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning LEAF: A Benchmark for Federated Settings

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Observation 9e515e6e-d9be-471e-b576-0f4632f66bb2 · outbound

This paper cites Magneto-electric properties and low-energy excitations of multiferroic FeCr2S4.

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning Magneto-electric properties and low-energy excitations of multiferroic FeCr2S4

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-15T10:46:07.438824Z

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Pith citing papers

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