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Paper Citation Record · LEDGER

A Survey on Contribution Evaluation in 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:2405.02364.

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

pith.paper-citation-record.v1
2405.02364 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:16:20.137727Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T01:57:06.107697Z

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 54cef82e-45d1-4839-b18c-d2db5635b513 · inbound

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection cites this paper.

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection A Survey on Contribution Evaluation in Vertical Federated Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:16:20.137727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:16:20.137727Z digest=sha256:6ca01e4937efabda8c4d90a4d161baeb7666d531aa4833e45e1ea965c81c9184

Observation c3c1b59b-55db-47af-b62b-99b03eaca3c8 · 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 A Survey on Contribution Evaluation in Vertical Federated Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-16T01:57:06.109880Z

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=2026-05-16T01:54:30.814618Z digest=sha256:15013889dad31cf8e7fa556efa4641d569562c83d7bf9c47f125a673bdee9714