Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:47:06.916803Z
Paper Citation Record · LEDGER
Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes
As of 12 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2412.10753.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-25T22:30:05.423238Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T18:50:04.614043Z
Reference resolution
2 of 2 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ba9311be-a77a-4191-bb1b-74b00b9fb8da · outbound
This paper cites We have ( ˆU (2))T Σ ˆU (2) | Zn ∼ IW p−m ( ˆU (2))T An ˆU (2), n+ νn − 2m.
Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes We have ( ˆU (2))T Σ ˆU (2) | Zn ∼ IW p−m ( ˆU (2))T An ˆU (2), n+ νn − 2m
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:47:06.979873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 713f4acb-096c-4226-ad8c-594af6730d1f · outbound
This paper cites G Proof of Theorem 3.1 We give the proof of Theorem 3.1.
Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes G Proof of Theorem 3.1 We give the proof of Theorem 3.1
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:47:06.962062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation 2dbfa590-96ec-49bd-be08-7d5a21a6129c · inbound
Bayesian Estimation of the Eigenstructure in High-Dimensional Approximate Factor Models cites this paper.
Bayesian Estimation of the Eigenstructure in High-Dimensional Approximate Factor Models Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T18:50:04.615694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.