Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.04550.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:13:15.377088Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:42:37.491882Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7e3b2790-ddf5-40fd-b5b8-1db8a2b84b70 · inbound
From sparse to dense functional time series: phase transitions of detecting structural breaks and beyond From dense to sparse design: Optimal rates under the supremum norm for estimating the mean function in functional data analysis
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b0cd5f2-0ea0-4311-a444-3e7972a76847 · inbound
Prokhorov Metric Convergence of the Partial Sum Process for Reconstructed Functional Data From dense to sparse design: Optimal rates under the supremum norm for estimating the mean function in functional data analysis
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5691f1be-18ab-415f-bf4f-d8b82898f2a6 · inbound
Recursive Multiple Change Point Detection of Nonstationary Time Series: Instability Tests, Estimation and Confidence Intervals From dense to sparse design: Optimal rates under the supremum norm for estimating the mean function in functional data analysis
Reference 151
Source-reported events for the cited work
Unavailable: canonical work link unavailable.