Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generative modelling of multivariate geometric extremes using normalising flows
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.02957.
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 2026-08-11T20:58:32.577709Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T00:46:24.684367Z
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 9e90eb00-9fe8-4d5b-9f26-5b781a7bc359 · inbound
Piecewise-linear modeling of multivariate geometric extremes cites this paper.
Piecewise-linear modeling of multivariate geometric extremes Generative modelling of multivariate geometric extremes using normalising flows
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:58:32.577709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8ae2a7a-dc85-45ec-9730-4cfec0836dc6 · inbound
MOPED: A moving sum method for change point detection in pairwise extremal dependence cites this paper.
MOPED: A moving sum method for change point detection in pairwise extremal dependence Generative modelling of multivariate geometric extremes using normalising flows
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:32:23.861367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a87d0ddc-192b-49cb-9374-cd880a45e3dc · 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 Generative modelling of multivariate geometric extremes using normalising flows
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:51:09.081883Z
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 22ec168d-eb16-4b5a-bd33-f64ae6aa4e29 · inbound
Diagnostic Tools for Extreme Value Regression Models cites this paper.
Diagnostic Tools for Extreme Value Regression Models Generative modelling of multivariate geometric extremes using normalising flows
Reference 62
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T00:46:24.686131Z
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 67d39fb9-4258-40c8-b899-e19efb063b15 · inbound
Flood risk estimation via geometric extremal graphical models cites this paper.
Flood risk estimation via geometric extremal graphical models Generative modelling of multivariate geometric extremes using normalising flows
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:34:06.107319Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.