Paper Citation Record · LEDGER

Generative modelling of multivariate geometric extremes using normalising flows

As of 22 August 2026, this Paper Citation Record lists 49 of 49 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.

pith.paper-citation-record.v1
2505.02957 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:21.127870Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:58:32.577709Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:46:24.684367Z

Reference resolution

49 of 49 outbound references displayed

verified exact4
verified fuzzy12
unresolved33
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 281bb48c-77b8-4336-aad6-ef5b4e38687d · outbound

This paper cites Embrechts, and N.

Generative modelling of multivariate geometric extremes using normalising flows Embrechts, and N

Reference 1

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Observation d9e0f71b-7fa2-457c-95e6-7ae5bbaac834 · outbound

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 2

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Observation a6d31031-6d1e-4c0b-9cc5-2720fa2e3ce7 · outbound

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 3

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Observation 82dc0e85-ec2e-4925-98de-b6cc43c105cc · outbound

This paper cites Piecewise-linear modeling of multivariate geometric extremes.

Generative modelling of multivariate geometric extremes using normalising flows Piecewise-linear modeling of multivariate geometric extremes

Reference 4

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Observation 633eb100-d773-4b00-a65e-a78536e5bd3a · outbound

This paper cites Huser, and H.

Generative modelling of multivariate geometric extremes using normalising flows Huser, and H

Reference 5

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Observation a2587e00-0b9f-4054-94bf-c6574e63c54b · outbound

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 6

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Observation 885783f9-51ef-4f79-a153-eefe2e97c1cf · outbound

This paper cites Sohl-Dickstein, and S.

Generative modelling of multivariate geometric extremes using normalising flows Sohl-Dickstein, and S

Reference 7

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Observation 47bab78f-c028-4828-aed9-31bdec49519b · outbound

This paper cites Bekasov, I.

Generative modelling of multivariate geometric extremes using normalising flows Bekasov, I

Reference 8

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Observation 3cae7463-2c11-48c1-9acc-83a0544451e0 · outbound

This paper cites Schwartz, and G.

Generative modelling of multivariate geometric extremes using normalising flows Schwartz, and G

Reference 9

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 10

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 11

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Observation dc024ef2-4843-4a7f-94f8-69363bcefd82 · outbound

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 12

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Observation b94aa7e0-1e9b-4192-abf5-5b505e6196ce · outbound

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 13

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Observation d97abc49-29fd-4a40-92ae-144f63d0fef6 · outbound

This paper cites Herburt, H.

Generative modelling of multivariate geometric extremes using normalising flows Herburt, H

Reference 14

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 15

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Observation 83dfe82b-2cf7-4c0b-bbc5-86ce08d3b00c · outbound

This paper cites Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return Data.

Generative modelling of multivariate geometric extremes using normalising flows Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return Data

Reference 16

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Observation eb0b6bef-6299-44f4-8b08-cbb3e16797a9 · outbound

This paper cites GPDFlow: Generative Multivariate Threshold Exceedance Modeling via Normalizing Flows.

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

Reference 17

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Observation 36b9fa37-8e60-4cb1-aee8-8766f2a3a323 · outbound

This paper cites Opitz, and E.

Generative modelling of multivariate geometric extremes using normalising flows Opitz, and E

Reference 18

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Observation eb148a46-eb1a-4c60-9d63-360be3c75ff3 · outbound

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 19

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Observation 464c2eb3-7bd1-4d94-8d7e-ab37c986c05e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Generative modelling of multivariate geometric extremes using normalising flows Adam: A Method for Stochastic Optimization

Reference 20

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 21

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 22

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 23

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Observation a35d66be-a122-424e-a6ab-fae2384c6cee · outbound

This paper cites Rootzén, and J.

Generative modelling of multivariate geometric extremes using normalising flows Rootzén, and J

Reference 24

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Observation c89570f8-62ca-4511-8fef-f818743e0ec0 · outbound

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

Generative modelling of multivariate geometric extremes using normalising flows Modelling multivariate extremes through angular-radial decomposition of the density function

Reference 25

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This paper cites Murphy-Barltrop, J.

Generative modelling of multivariate geometric extremes using normalising flows Murphy-Barltrop, J

Reference 26

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 27

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 28

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Observation a34b0a53-2201-48f3-b62a-eea5b8dbc57c · outbound

This paper cites Deep Learning of Multivariate Extremes via a Geometric Representation.

Generative modelling of multivariate geometric extremes using normalising flows Deep Learning of Multivariate Extremes via a Geometric Representation

Reference 29

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 30

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 31

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 32

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Observation be985f9e-dbdc-4428-bdbc-3d504973820e · outbound

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Generative modelling of multivariate geometric extremes using normalising flows Nalisnick, D

Reference 33

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Generative modelling of multivariate geometric extremes using normalising flows Pavlakou, and I

Reference 34

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This paper cites Statistical inference for radial generalized Pareto distributions and return sets in geometric extremes.

Generative modelling of multivariate geometric extremes using normalising flows Statistical inference for radial generalized Pareto distributions and return sets in geometric extremes

Reference 35

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Generative modelling of multivariate geometric extremes using normalising flows Gross, F

Reference 36

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 42

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Generative modelling of multivariate geometric extremes using normalising flows Sohl-Dickstein, D

Reference 43

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Observation 460e491e-b6fb-4f47-a9df-806915d89aa8 · outbound

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 44

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Generative modelling of multivariate geometric extremes using normalising flows Franzese, P

Reference 45

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

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Generative modelling of multivariate geometric extremes using normalising flows Unresolved cited work

Reference 49

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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