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Paper Citation Record · LEDGER

Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.08778.

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

pith.paper-citation-record.v1
2301.08778 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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:57:20.679166Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T19:25:31.690834Z

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 c90b7baa-520e-4395-a974-ef6d9c4b2ec9 · inbound

A Taxonomy of Attacks and Defenses in Split Learning cites this paper.

A Taxonomy of Attacks and Defenses in Split Learning Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T22:57:20.679166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:57:20.679166Z digest=sha256:fe5237fc9ca9856b0b70680c471d7b6834bc47236da6e71de4d17eb0e78868fe

Observation e287e1c7-6fc3-4491-9795-a4f9fe834f1c · inbound

Modular Federated Learning: A Meta-Framework Perspective cites this paper.

Modular Federated Learning: A Meta-Framework Perspective Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:22.731688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:22.731688Z digest=sha256:fe334a1a5b41b3603209a8ca15c3066dd3d116aa9238c4e768b239533e8642b3

Observation 2c6b1063-ae2d-425d-9912-fc69ff2782fc · inbound

TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data cites this paper.

TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-15T19:25:31.698877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:25:31.433876Z digest=sha256:58cc24d9c069fa967773a184a10f40378339ba6914bdaa5b02ee78465888bb4c