Paper Citation Record · LEDGER

Federated Learning with Domain Generalization

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2111.10487.

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

pith.paper-citation-record.v1
2111.10487 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:05:06.694871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T23:49:15.064955Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 11ccaec2-215b-417f-b4d7-1e37f91b85d2 · inbound

Federated Domain Generalization via Prompt Learning and Aggregation cites this paper.

Federated Domain Generalization via Prompt Learning and Aggregation Federated Learning with Domain Generalization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T20:05:06.694871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591d7428-d3c8-4726-97f8-9569b2fa1c72 · inbound

DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices cites this paper.

DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices Federated Learning with Domain Generalization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T20:24:32.532100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08359242-7d79-4afc-93da-8a609efec807 · inbound

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training cites this paper.

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training Federated Learning with Domain Generalization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:01:31.111016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d4630c-12f5-47f8-b913-6e96ad778d4f · inbound

FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment cites this paper.

FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment Federated Learning with Domain Generalization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T14:18:19.557534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c1f614-0712-4d10-a99d-c3ec17c90170 · inbound

Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains cites this paper.

Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains Federated Learning with Domain Generalization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:13.587767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bf4ee33-0e95-4089-a1fb-197e7e7b8c5b · inbound

When Shift Happens - Confounding Is to Blame cites this paper.

When Shift Happens - Confounding Is to Blame Federated Learning with Domain Generalization

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T13:40:23.473503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 673ba6e1-dd3b-4d27-88b2-f60f0fbc40a5 · inbound

Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning cites this paper.

Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning Federated Learning with Domain Generalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:06.048858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be0d1f61-6b6a-4cb7-a5a0-c3f291d941b8 · inbound

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints cites this paper.

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints Federated Learning with Domain Generalization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:36:04.589195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 166316b0-e5b8-46da-b674-6d2829bdae3a · inbound

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints cites this paper.

Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints Federated Learning with Domain Generalization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:49:15.068110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.