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Paper Citation Record · LEDGER

GPDFlow: Generative Multivariate Threshold Exceedance Modeling via Normalizing Flows

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.11822.

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

pith.paper-citation-record.v1
2503.11822 v1

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:20.956757Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T16:31:09.510276Z

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 eb0b6bef-6299-44f4-8b08-cbb3e16797a9 · inbound

Generative modelling of multivariate geometric extremes using normalising flows cites this paper.

Generative modelling of multivariate geometric extremes using normalising flows GPDFlow: Generative Multivariate Threshold Exceedance Modeling via Normalizing Flows

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T00:45:20.956757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:45:20.956757Z digest=sha256:a5e97eb6357c06da0730578f563364760be9e32a6720f2aadbe30c34cbdafd29

Observation b33bc814-42ea-45c1-acd1-90dc4f0a6413 · inbound

Extrapolation in Statistical Learning with Extreme Value Theory cites this paper.

Extrapolation in Statistical Learning with Extreme Value Theory GPDFlow: Generative Multivariate Threshold Exceedance Modeling via Normalizing Flows

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:31:09.515993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T16:26:07.319256Z digest=sha256:d39b97d4f3d704d45a82bb83d9155ad458762e08ee70496ad63656dd745e6777