Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multiple change point detection in functional data with applications to biomechanical fatigue data
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.11108.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:13:15.408627Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T23:21:29.073128Z
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 78418efa-af2a-4435-8686-753a586d24b1 · inbound
From sparse to dense functional time series: phase transitions of detecting structural breaks and beyond cites this paper.
From sparse to dense functional time series: phase transitions of detecting structural breaks and beyond Multiple change point detection in functional data with applications to biomechanical fatigue data
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T23:21:29.079522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 26598621-cfb1-41ba-9790-28c33d0ad84d · inbound
Recursive Multiple Change Point Detection of Nonstationary Time Series: Instability Tests, Estimation and Confidence Intervals cites this paper.
Recursive Multiple Change Point Detection of Nonstationary Time Series: Instability Tests, Estimation and Confidence Intervals Multiple change point detection in functional data with applications to biomechanical fatigue data
Reference 161
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:13:15.408627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.