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Paper Citation Record · LEDGER

Three Approaches for Personalization with Applications to Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2002.10619.

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

pith.paper-citation-record.v1
2002.10619 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 2026-08-08T06:32:00.761636+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:36:53.758911Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:44:56.408203Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 45f6f7df-f5b2-40d7-bee6-a0bfef6a2165 · inbound

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion cites this paper.

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Three Approaches for Personalization with Applications to Federated Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:08:55.582405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T18:08:55.311069Z digest=sha256:07b00778d4c2157ad917dfdd5dbb5c4e7d3ba5c82adf11d182bf866c811381dc

Observation c4fbd592-5bde-4ea5-90e1-fcd0fe64db61 · inbound

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

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Three Approaches for Personalization with Applications to Federated Learning

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:48:39.291221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T23:47:28.874336Z digest=sha256:0122d3373a9f38df61f517758fc5a90c3cc028149a42d88be96c80f5f056f04e

Observation b1256a1d-8066-47f0-8b59-519742a3dce9 · inbound

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning cites this paper.

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning Three Approaches for Personalization with Applications to Federated Learning

Reference 31

Resolution
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no resolver link, observed 2026-08-07T23:36:53.758911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:36:53.758911Z digest=sha256:2da9be08dfba2b8066e8f6424fafeb080730f35d5af72738c771f78c029f753f

Observation 5238e042-0f17-441a-995b-541a5aa9b733 · inbound

Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft cites this paper.

Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft Three Approaches for Personalization with Applications to Federated Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:56.994795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:56.994795Z digest=sha256:1e5e4f0a2447f3cc793729f768f22bd3f755e80531333ffeb450d7d3fca45342

Observation 94ff3aa7-7dd1-4983-9dbc-1690f71e98c2 · inbound

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity cites this paper.

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Three Approaches for Personalization with Applications to Federated Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:28.717182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:28.717182Z digest=sha256:668fef655f691c2fd47b10ffdd6c905dfd39b2ff2ad9e049560a0203b8599352

Observation 2a897e71-cf47-467d-b647-4cac2bea47e7 · inbound

Clustered Federated Learning via Embedding Distributions cites this paper.

Clustered Federated Learning via Embedding Distributions Three Approaches for Personalization with Applications to Federated Learning

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:23.045514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:23.045514Z digest=sha256:3c4555cea60d672fe334594f4447c7cc2a719e8c159732944ddba6b39b7495a2

Observation e70b6994-4d53-4400-9cb1-497356762b1b · inbound

SPIRE: Conditional Personalization for Federated Diffusion Generative Models cites this paper.

SPIRE: Conditional Personalization for Federated Diffusion Generative Models Three Approaches for Personalization with Applications to Federated Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:58.969749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:58.969749Z digest=sha256:5c17015eb957f0de6862a286eb844fc80dfff7f8c8bd170e1c655652204564c1

Observation 7400da7d-53ab-4665-9a11-dc494c0ceedf · inbound

Adaptive collaboration for online personalized distributed learning with heterogeneous clients cites this paper.

Adaptive collaboration for online personalized distributed learning with heterogeneous clients Three Approaches for Personalization with Applications to Federated Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:04:52.825925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:52.825925Z digest=sha256:37cfcd28aa891c1bfea705788b168860a5759d64a582dbba3cbf1797f891892b

Observation 2250fe74-8c08-45ae-87d6-2b4daef550eb · inbound

DICE: Data Influence Cascade in Decentralized Learning cites this paper.

DICE: Data Influence Cascade in Decentralized Learning Three Approaches for Personalization with Applications to Federated Learning

Reference 2008

Resolution
unresolved
no resolver link, observed 2026-08-06T19:00:01.503047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:00:01.503047Z digest=sha256:66f7029982080f0446e6f62a3890a21cf093480c4c02a684c640c05a64548b11

Observation 790a10df-2419-4f58-b6a4-1af30c781524 · inbound

Federated Learning for Commercial Image Sources cites this paper.

Federated Learning for Commercial Image Sources Three Approaches for Personalization with Applications to Federated Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:15.498048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:15.498048Z digest=sha256:313b194d7db5cabe701c347db42f119de84e902a1b1a3e5216a4f218ad3a87be

Observation 54a41fcd-07fd-4ab1-b0e2-54c655f40317 · inbound

Federated Majorize-Minimization: Beyond Parameter Aggregation cites this paper.

Federated Majorize-Minimization: Beyond Parameter Aggregation Three Approaches for Personalization with Applications to Federated Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:36.966964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:54:36.966964Z digest=sha256:51217a2a23a4c24db585fa0a72e98fac7669dfd382497c6b4033484964ba2076

Observation 294525c7-8d89-4c6a-b1f8-b641b253d10d · inbound

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data cites this paper.

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data Three Approaches for Personalization with Applications to Federated Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:58.871376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:45:58.871376Z digest=sha256:b1373ac34e03fd601cd98beb4be7ca6c933c9f70c24797e8a451435697e9f263

Observation 8bbceb6b-6779-4284-9cf3-5b69e68ad720 · inbound

Generalizable Federated Learning using Client Adaptive Focal Modulation cites this paper.

Generalizable Federated Learning using Client Adaptive Focal Modulation Three Approaches for Personalization with Applications to Federated Learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T20:19:07.921328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:19:07.921328Z digest=sha256:3740c6cf3df7d78dd7dd50f76d504ad1e0e2c8b4d6840ed85742771f8a9b2147

Observation 4fd8d3a3-256e-457b-a01c-c344e6e85875 · inbound

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption cites this paper.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Three Approaches for Personalization with Applications to Federated Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T12:26:27.982200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:26:27.982200Z digest=sha256:043814de6f381a9ab280dd6f8552bf6db64e7038663ca17c4373f6a4db52b21c

Observation 79e19cdf-18b4-4e19-9fc8-7d7aefc37eee · inbound

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data cites this paper.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Three Approaches for Personalization with Applications to Federated Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T22:44:40.660528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T22:44:40.660528Z digest=sha256:a548237979a37d006ff9750fafa698aa9266bf447d2585cecd622fb9a1d2cd20

Observation b9b3f7d9-f136-4e46-8e19-dcae5df4a4f1 · inbound

DFCA: Decentralized Federated Clustering Algorithm cites this paper.

DFCA: Decentralized Federated Clustering Algorithm Three Approaches for Personalization with Applications to Federated Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T09:30:12.884697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:30:12.884697Z digest=sha256:274cf26c089068d2bc5f2f0a013cd623ab5433185636f0e3d2e94622d8551375

Observation d74f25de-e625-44d1-b8b0-99decf382757 · inbound

MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks cites this paper.

MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks Three Approaches for Personalization with Applications to Federated Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T23:35:19.198405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:35:19.198405Z digest=sha256:e5bfd79e406772ef22c7e61ca09e9fe61534664da54daf7c7abd7da99d7aa1d3

Observation bc5e11c3-637d-42f6-aebd-068a076cf9c7 · inbound

Collaborative and Efficient Fine-tuning: Leveraging Task Similarity cites this paper.

Collaborative and Efficient Fine-tuning: Leveraging Task Similarity Three Approaches for Personalization with Applications to Federated Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T03:49:39.995547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:49:39.995547Z digest=sha256:857ca8b90d9f2b52a5dbc728f7affeb1eb3414f88d54ace2928efb6418eb13b8

Observation 7c89bbcb-58b6-4cf8-9c5b-2dc6acfc981c · inbound

FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation cites this paper.

FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation Three Approaches for Personalization with Applications to Federated Learning

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.817149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:17:38.140844Z digest=sha256:1687ca5d0eceb38ab26c7342248f14a9f24c1db6b68daaf8397c90a929db70bf

Observation 62524930-1de6-4068-9b3f-9d28be7c6d02 · inbound

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Three Approaches for Personalization with Applications to Federated Learning

Reference 154

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T16:44:56.409494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T04:41:41.370083Z digest=sha256:d00f2f71d3e4a6c79c22e02bb467f02ee05db50d017b2bb38aa69884bd13d6d8