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Paper Citation Record · LEDGER

Vertical Federated Learning: Challenges, Methodologies and Experiments

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.04309.

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

pith.paper-citation-record.v1
2202.04309 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:16:20.825803Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:46:00.209310Z

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 d246c874-d22c-45b2-aa4c-9e4c0ebdb0ea · inbound

Event-Driven Online Vertical Federated Learning cites this paper.

Event-Driven Online Vertical Federated Learning Vertical Federated Learning: Challenges, Methodologies and Experiments

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:20.825803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:16:20.825803Z digest=sha256:daa80e2dd67a394fb36f853f08b7483acddf568e6bd014a9beff96a4a88ad6ad

Observation c86e6f2b-9c3d-4ac7-9ba4-89b39406ea34 · inbound

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data cites this paper.

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data Vertical Federated Learning: Challenges, Methodologies and Experiments

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:46:00.275809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:45:58.824795Z digest=sha256:d7c48c9e67d969bd0e5716b1b6e7a794fdad9e43b2d27ce282e2d209fa160d22