Pith. sign in

Paper Citation Record · LEDGER

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.16270.

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

pith.paper-citation-record.v1
2303.16270 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:45:58.816502Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:55:40.129628Z

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 c037080a-fd27-44f7-ab5f-f0a18611a71e · 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 Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:58.816502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:45:58.816502Z digest=sha256:6926081fbba4119aa2e03b0e97fc259a344ec63da7972418e95e9a06c1e97c13

Observation feb1967c-d577-4830-a0c4-16fd25f645ea · inbound

Expected Gain-based Escalation in Vertical Federated Learning cites this paper.

Expected Gain-based Escalation in Vertical Federated Learning Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:55:40.131718Z

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=2026-07-01T06:09:52.967421Z digest=sha256:2f399f2f0d111370ab3c3917fb44ee1d8006d3500061155c810e4f7612a2e62d