Paper Citation Record · LEDGER

Robust Federated Learning on Edge Devices with Domain Heterogeneity

As of 24 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.10128.

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

pith.paper-citation-record.v1
2505.10128 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:18:48.585802Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy5
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ccbf3fde-e1ce-403d-a29c-e7444c550f5c · outbound

This paper cites Federated learning for healthcare: Systematic review and architecture proposal,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Federated learning for healthcare: Systematic review and architecture proposal,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:47.764962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9be8c9a5-a8e7-49c0-8cea-bbeca33ee3c9 · outbound

This paper cites Federated rec- ommendation systems,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Federated rec- ommendation systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:47.855431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba18ad38-0f8e-4620-9e41-d417447031c5 · outbound

This paper cites Federated learning review: Fundamentals, enabling technologies, and future applications,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Federated learning review: Fundamentals, enabling technologies, and future applications,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:47.862997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 843c7c02-2022-43eb-8fe4-efd81c4ece14 · outbound

This paper cites Deepseek-inspired exploration of rl-based llms and synergy with wireless networks: A survey,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Deepseek-inspired exploration of rl-based llms and synergy with wireless networks: A survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:47.894765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37e098ed-f2b8-45b5-a999-a7afa4a34bd4 · outbound

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

Robust Federated Learning on Edge Devices with Domain Heterogeneity Communication-efficient learning of deep networks from decentralized data,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:47.962866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a176906-196a-4c09-bf80-a1cdaa035c79 · outbound

This paper cites Advances and open problems in federated learning,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Advances and open problems in federated learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:47.979556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0398461-3bd0-47cd-a25d-f0020804af6f · outbound

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

Robust Federated Learning on Edge Devices with Domain Heterogeneity Federated learning: Challenges, methods, and future directions,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:47.994481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d70f50-4f0c-476f-9aa4-de9a6af00b5d · outbound

This paper cites Heterogeneous feder- ated learning: State-of-the-art and research challenges,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Heterogeneous feder- ated learning: State-of-the-art and research challenges,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.098233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e086824f-ad03-49b6-9467-289fe321bacf · outbound

This paper cites Prototype completion with primitive knowledge for few-shot learning,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Prototype completion with primitive knowledge for few-shot learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:18:49.925720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8af338b-99d3-403d-aea2-f25167ed217e · outbound

This paper cites Morphological prototyping for unsupervised slide representation learning in computational pathology,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Morphological prototyping for unsupervised slide representation learning in computational pathology,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:18:49.735155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3bc97371-e0fd-45d4-a9a8-bd5ca0da8d5e · outbound

This paper cites Fedproto: Federated prototype learning across heterogeneous clients,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Fedproto: Federated prototype learning across heterogeneous clients,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.237309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 062320e4-b031-4d1b-8ad2-87a5d090e46f · outbound

This paper cites Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.251364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 502a1788-d9ae-47cc-9d7a-240e01f3936b · outbound

This paper cites Rethinking federated learning with domain shift: A prototype view,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Rethinking federated learning with domain shift: A prototype view,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.261152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 585877ef-5f7d-478a-b772-fa307551fb3a · outbound

This paper cites Fedccl: Federated dual-clustered feature contrast under domain heterogeneity,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Fedccl: Federated dual-clustered feature contrast under domain heterogeneity,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:18:49.466619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a883da02-24e6-4789-976f-d39d2a9aacf4 · outbound

This paper cites Geodesic flow kernel for unsupervised domain adaptation,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Geodesic flow kernel for unsupervised domain adaptation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:18:49.342520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80e9bf0e-ef69-4dd9-bf3d-0b3a408c6152 · outbound

This paper cites A database for handwritten text recognition research,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity A database for handwritten text recognition research,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:18:49.309857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dc53ab8d-a7cf-479c-9653-3cdb9da0cf7a · outbound

This paper cites Gradient-based learning applied to document recognition,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Gradient-based learning applied to document recognition,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.428649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6c888f-ced0-4c56-925e-8aebea0951c0 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Reading digits in natural images with unsupervised feature learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.446221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be05f29e-0710-4be3-9f48-d371b823636b · outbound

This paper cites Effects of Degradations on Deep Neural Network Architectures.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Effects of Degradations on Deep Neural Network Architectures

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.457034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87646d7-6c91-4cde-a7c8-b4c593e0d69a · outbound

This paper cites Model-contrastive federated learning,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Model-contrastive federated learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.473923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897d937e-0bfb-40d4-b8d2-5fef759d3071 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Pytorch: An imperative style, high-performance deep learning library,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.480261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc85f777-24dd-4c1c-b4ae-eda24df32a6c · outbound

This paper cites Deep residual learning for image recognition,.

Robust Federated Learning on Edge Devices with Domain Heterogeneity Deep residual learning for image recognition,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:18:48.585802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.