Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Notes on asymptotics of sample eigenstructure for spiked covariance models with non-Gaussian data
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1810.10427.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:55:52.850306Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:16:10.821775Z
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 87937d52-d33d-4962-9a31-7c9a54f5309e · inbound
Estimation of the number of principal components in high-dimensional multivariate extremes cites this paper.
Estimation of the number of principal components in high-dimensional multivariate extremes Notes on asymptotics of sample eigenstructure for spiked covariance models with non-Gaussian data
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:16:10.975696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fd67c4a0-1520-46c9-a8f0-41030a99aee9 · inbound
High-dimensional ridgeless least squares interpolation under spiked covariance structures cites this paper.
High-dimensional ridgeless least squares interpolation under spiked covariance structures Notes on asymptotics of sample eigenstructure for spiked covariance models with non-Gaussian data
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T11:14:51.632866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd281810-6722-496f-9ca2-8a69ad68de75 · inbound
Limiting eigen-structure of spiked sample covariance matrices under missing observations cites this paper.
Limiting eigen-structure of spiked sample covariance matrices under missing observations Notes on asymptotics of sample eigenstructure for spiked covariance models with non-Gaussian data
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:55:52.850306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.