Paper Citation Record · LEDGER

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2509.05982.

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

pith.paper-citation-record.v1
2509.05982 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:52:02.271194Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact3
verified fuzzy2
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c0bdf86-647b-4dd0-99e0-dfad61dbca66 · outbound

This paper cites Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T04:52:01.645966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 489ff7aa-edc4-4c1a-93a8-3dc5f5d6c408 · outbound

This paper cites Implications of Artificial Intelligence on Health Data Privacy and Confidentiality.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution Implications of Artificial Intelligence on Health Data Privacy and Confidentiality

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T04:52:02.969843Z

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 d088529c-6420-4cf6-9296-607fd0351d43 · outbound

This paper cites ArXiv preprint arXiv.2404.10899.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution ArXiv preprint arXiv.2404.10899

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-05T04:52:02.867394Z

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 e9d8e087-3dc7-4ea7-a3d7-e433d7e8e800 · outbound

This paper cites Modelling multivariate extremes through angular-radial decomposition of the density function.

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 eaeeed8d-8c8b-4acf-adfe-2d7274c17860 · outbound

This paper cites Theoretical guarantees for neural estimators in parametric statistics.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution Theoretical guarantees for neural estimators in parametric statistics

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T04:52:01.903397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f50a4332-6e24-4fa7-9f5d-cc008bb64dde · outbound

This paper cites R package version 0.1.2,https://CRAN.R-project.org/package= NeuralEstimators.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution R package version 0.1.2,https://CRAN.R-project.org/package= NeuralEstimators

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-05T04:52:02.687949Z

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 a40fcb4f-8609-4b6f-bccd-9de09db73266 · outbound

This paper cites ArXiv preprint arXiv:2412.07957.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution ArXiv preprint arXiv:2412.07957

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-05T04:52:02.526744Z

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 019cb2b9-5634-4b39-b24f-cc8d1c50272b · outbound

This paper cites Validating Bayesian Inference Algorithms with Simulation-Based Calibration.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution Validating Bayesian Inference Algorithms with Simulation-Based Calibration

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-05T04:52:02.271194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a393320-b430-46ff-a48e-8e13f11f14aa · outbound

This paper cites secondary.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution secondary

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:52:03.180836Z

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 81beb8b2-9737-4a43-ad19-77334e95e677 · outbound

This paper cites (Eds.), Contribution of Working Groups I, II, and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution (Eds.), Contribution of Working Groups I, II, and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:52:03.345904Z

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 54c7de8a-5861-49d8-a543-3b0934a9a90e · outbound

This paper cites Guided Image Generation with Conditional Invertible Neural Networks.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution Guided Image Generation with Conditional Invertible Neural Networks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T04:52:01.690673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece2ca5e-459e-46fb-85fe-48be3dca500e · outbound

This paper cites ArXiv preprint arXiv:2503.23156.

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution ArXiv preprint arXiv:2503.23156

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T04:52:01.600214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.