Paper Citation Record · LEDGER

pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.01350.

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

pith.paper-citation-record.v1
2402.01350 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:22:38.087480Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 43b80815-ec29-4d8c-82fc-e484e9d7603c · inbound

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning cites this paper.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T19:22:38.087480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c6f00b6-b444-439b-8477-640e37d109ea · inbound

Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach cites this paper.

Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:22:59.592924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f676e5ae-48d7-4004-ac4f-ce4ec63c12df · inbound

FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing cites this paper.

FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:40:18.966973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 79654deb-d067-4db5-a59f-6c678aee713f · inbound

Personalized Digital Health Modeling with Adaptive Support Users cites this paper.

Personalized Digital Health Modeling with Adaptive Support Users pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:50:26.397168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fba99a37-f12e-4798-89bf-fd4d8ecf5979 · inbound

Personalized Digital Health Modeling with Adaptive Support Users cites this paper.

Personalized Digital Health Modeling with Adaptive Support Users pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:55:10.658335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dac746b9-7c66-4ef1-967c-f9d2885be285 · inbound

FedCoE: Bridging Generalization and Personalization via Federated Coordinated Dual-level MoEs cites this paper.

FedCoE: Bridging Generalization and Personalization via Federated Coordinated Dual-level MoEs pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:29:42.157300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 40b653c4-9cd7-4bd8-9ec7-1bc8c06a46c8 · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

Reference 141

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T00:28:42.824430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7563c895-b084-4702-a941-275c7f652208 · inbound

Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning cites this paper.

Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:04:39.209770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.