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Paper Citation Record · LEDGER

Exploring Vacant Classes in Label-Skewed Federated Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.02329.

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

pith.paper-citation-record.v1
2401.02329 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:50:57.963192Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:53:29.898393Z

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 7cc45481-9a1e-4045-b2ed-53ce33d270ff · inbound

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher cites this paper.

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Exploring Vacant Classes in Label-Skewed Federated Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:53:29.904752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T21:49:43.939791Z digest=sha256:d59c07e5b93750c9a48e37a0c401b6d01f7a7b90b873deb0c8cc765acb92eb64

Observation 545c6e29-4150-4a81-8065-be551b25d551 · inbound

FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning cites this paper.

FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning Exploring Vacant Classes in Label-Skewed Federated Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T21:50:57.963192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:50:57.963192Z digest=sha256:dddc45c0f66bc99658512fa644ace10a8c4d8287bf221e7b676eecdfa9f1dbc9