Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
High-dimensional data segmentation in regression settings permitting temporal dependence and non-Gaussianity
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.08892.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:24:52.196286Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:24:54.777418Z
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 bf2f428d-366a-497f-b30b-fd40ef180ac5 · inbound
Change Point Localization and Inference in Dynamic Multilayer Networks cites this paper.
Change Point Localization and Inference in Dynamic Multilayer Networks High-dimensional data segmentation in regression settings permitting temporal dependence and non-Gaussianity
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:24:54.841273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a3c1582d-e726-4420-800e-6eb3b56f8e09 · inbound
A General U-Statistic Framework for High-Dimensional Multiple Change-Point Analysis cites this paper.
A General U-Statistic Framework for High-Dimensional Multiple Change-Point Analysis High-dimensional data segmentation in regression settings permitting temporal dependence and non-Gaussianity
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T05:58:32.336515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.