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Paper Citation Record · LEDGER

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.10663.

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

pith.paper-citation-record.v1
2107.10663 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:59:37.294041Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:00:59.519748Z

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 de1a9ec0-dca9-4b50-92bf-0e0d77b181f7 · inbound

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data cites this paper.

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T22:59:37.294041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:37.294041Z digest=sha256:9f19b50837af130bbe596bf5e19db18af4fa25093ec5a703b657fcd3c1e3dfda

Observation e75c42bf-6225-410a-99a7-31f826fa2ab7 · inbound

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions cites this paper.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T19:21:36.481794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:21:36.481794Z digest=sha256:f16a23c654a06796437c308154e4bd4de35cc5b5df278f0b8a0800a29b161bdc

Observation c9c36da5-727f-4dc3-be92-207a9a494a91 · inbound

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization cites this paper.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:59.529878Z

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=2026-05-10T16:20:43.523895Z digest=sha256:595c1a9b2de324465e1ccce326118e44163b88ffd02614df64bf3235a901deb6