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Paper Citation Record · LEDGER

Modelling multivariate extremes through angular-radial decomposition of the density function

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.12711.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.12711 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:52:01.858701Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-05T04:52:01.858701Z digest=sha256:06b9dd1d38ea17afece6bede507c086562110eba189392eee9403b988bae4a09

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T13:30:34.588404Z digest=sha256:5c6fb0bd680a9d6732465e813ac5f1dd9ecb1efc092ba1bdbfb40c5a11911e8b