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Paper Citation Record · LEDGER

Sparse Bayesian Factor Analysis when the Number of Factors is Unknown

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1804.04231.

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

pith.paper-citation-record.v1
1804.04231 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:28:07.449085Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 ba040ca8-5186-4386-81b4-55562b5ca072 · inbound

An efficient adaptive dimension selection algorithm for multidimensional probit graded response models cites this paper.

An efficient adaptive dimension selection algorithm for multidimensional probit graded response models Sparse Bayesian Factor Analysis when the Number of Factors is Unknown

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T17:28:07.449085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:28:07.449085Z digest=sha256:c48bb1fb24da7e71298c13f6423164922429da505879c40b3e84ca49c6a4d59e