Pith. sign in

Paper Citation Record · LEDGER

SplitNN-driven Vertical Partitioning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2008.04137.

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

pith.paper-citation-record.v1
2008.04137 v1

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:53:22.259406Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T01:57:06.091780Z

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 c8c00bdc-ffa1-49fb-b2d8-dfb35fa29995 · inbound

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

Modular Federated Learning: A Meta-Framework Perspective SplitNN-driven Vertical Partitioning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:22.259406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:22.259406Z digest=sha256:937410f4a07476309c77e3c219f1cffde03f4e98369c8fa87cb754d5b1152cc4

Observation 1d321ded-0d28-45f1-b7c9-5aed171d7570 · inbound

Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning cites this paper.

Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning SplitNN-driven Vertical Partitioning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T01:57:06.094792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T01:54:30.814618Z digest=sha256:0cde967c76e2aa687e6158718d50ad44ae57949af63669a71aa08b15ab13c463