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Paper Citation Record · LEDGER

Three Approaches for Personalization with Applications to Federated Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:56.994795Z

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T18:08:55.311069Z digest=sha256:fe8c1ae7632519c403c8ea244ef4e0696f66b0237ef5d67a14e26995967f12d4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T23:47:28.874336Z digest=sha256:6b861d3c77f245c6f72b113f773fcce0de0574cb1a94546092fb09441e249bdf

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
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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=sha256:6579e16ab5f5510281dfbee364178d118658238ae9f2001f76ca032a06946da1

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=sha256:6e0f6a7379c425256d677d5a309dfb440cb556b38f40fa2934a2db80578596ba

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=sha256:4ac5f84c4b1f8b9d812e7b6aafbf5138ecae13f06317c7476fff64f4ea3c6acb

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:d16b6169dacf26aac32f406f0a4439578722ba279c8e1c6c0bc88a3fe2beaa98

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=sha256:0b1c294bca9869ab7709bcda396d2d8bf7680b1674f97eb62b42fc91c1598b6e

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=sha256:06913c9571d1da6222bac1f4e4a52986f96991ecbb3a3f284e9ef87db614c380

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=sha256:6ea8f60add62f545831b31f3df9d0b11d19aef420aa8e0643b4a2b64e4fb83cb

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:f2a5d2994fb7b1a429fd5b28ac80fedd1c19c3e9b31e0fbd0a18a2f82281c8db

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=sha256:5445a180b94dc8fa2dad64ed427acefd4b5d5a126142331b945058c16f62c3da

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=sha256:8121006e4f126e0ea4a199792940021d0e6e1d7c3b13ff946d4abf9a8971b24f

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=sha256:09b89e21c6541a7dc23e5b7c145c93609a6d460ff497c8297779e9f0be67768b

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=sha256:88f277ac7e6c5454af584176e35f27fae0e6e30598c06b28f23c60b7d55ada18

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:b455feddec571df89ffa6c20dcf88c311da4f80c028effb0197dfaff6ff717b5

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=sha256:4c3a652727fb27be4aa8c905c4efa89562c31dc86546fa0d66a19fc87f5c78c4

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:d0c3664a0132654b2d8259faff750b45966a1acc19255e1818fc8279548b0def

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:17:38.140844Z digest=sha256:4dc3b47c2253a692790215e1c21ef08edcd444afca8ca9e1256dc9b9ac406144

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T04:41:41.370083Z digest=sha256:75da0c6d1e45564fe35076a45bfbbd55e885b782be99a8bed03d98f52a7c5491