Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T18:26:25.690351Z
Paper Citation Record · LEDGER
Gaussian and bootstrap approximations for functional principal component regression
As of 9 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2603.12518.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 04788752-9363-480d-9355-6a81748e89ee · outbound
This paper cites Inference for function-on-function regression: central limit theorem and resid- ual bootstrap.To appear in Statistics and Its Interface, 2026+.
Gaussian and bootstrap approximations for functional principal component regression Inference for function-on-function regression: central limit theorem and resid- ual bootstrap.To appear in Statistics and Its Interface, 2026+
Reference 2005
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:26:25.690351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fd775e8-e382-4477-a641-4000dac5077f · outbound
This paper cites Inference for Projection Parameters in Linear Regression: beyond $d = o(n^{1/2})$.
Gaussian and bootstrap approximations for functional principal component regression Inference for Projection Parameters in Linear Regression: beyond $d = o(n^{1/2})$
Reference 2007
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:26:25.682978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8884ccfb-2fed-4443-8e12-2386a317a081 · outbound
This paper cites High-dimensional Hilbert-Schmidt linear regression with Hilbert manifold variables.To appear in Annals of Statistics, 2026+.
Gaussian and bootstrap approximations for functional principal component regression High-dimensional Hilbert-Schmidt linear regression with Hilbert manifold variables.To appear in Annals of Statistics, 2026+
Reference 2011
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:26:25.687381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.