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Paper Citation Record · LEDGER

A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.08934.

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

pith.paper-citation-record.v1
2208.08934 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:16:19.440427Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:45:59.912820Z

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 76b5e19a-3439-44c7-827e-d436a10dd904 · inbound

Event-Driven Online Vertical Federated Learning cites this paper.

Event-Driven Online Vertical Federated Learning A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:19.440427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:16:19.440427Z digest=sha256:ab45e5a8826e2b3a37e5425839a52ed8df00e27fcf96badc81878750dd2ffde3

Observation 4f8e1d83-22db-42a6-8836-c8c805e381b1 · 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 A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:46:00.052989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:45:58.832411Z digest=sha256:4e952e46bfa7e390a4150cb64c9b064436a5cc3d8e9cf4158646863c85cc96f1