Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Modelling multivariate extremes through angular-radial decomposition of the density function
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.12711.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:58:33.015448Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T18:51:09.091666Z
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 90d97d36-e698-45d8-9ad4-c8fc12a3a166 · inbound
Piecewise-linear modeling of multivariate geometric extremes cites this paper.
Piecewise-linear modeling of multivariate geometric extremes Modelling multivariate extremes through angular-radial decomposition of the density function
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:58:33.015448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9d8e087-3dc7-4ea7-a3d7-e433d7e8e800 · inbound
Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution cites this paper.
Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution Modelling multivariate extremes through angular-radial decomposition of the density function
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:52:01.858701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e761bcd-25cf-471c-a311-8b70ea1c6127 · inbound
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning cites this paper.
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning Modelling multivariate extremes through angular-radial decomposition of the density function
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:51:09.093072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.