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Paper Citation Record · LEDGER

Extremes in High Dimensions: Methods and Scalable Algorithms

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.04258.

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

pith.paper-citation-record.v1
2303.04258 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:13:58.050333Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:00:54.931183Z

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 562c49fb-086d-4158-969f-455a9518e2e3 · inbound

Clustering Tails in High Dimension cites this paper.

Clustering Tails in High Dimension Extremes in High Dimensions: Methods and Scalable Algorithms

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:13:58.050333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:13:58.050333Z digest=sha256:ddcc57feffdb4f8d3c78ba9a17307f429d1bcc857fb66c727a6cd594a586ecd3

Observation b44d289c-d0fc-45eb-ae4e-c0e61479b6de · inbound

Spatial Modeling and Risk Zoning of Global Extreme Precipitation via Graph Neural Networks and r-Pareto Processes cites this paper.

Spatial Modeling and Risk Zoning of Global Extreme Precipitation via Graph Neural Networks and r-Pareto Processes Extremes in High Dimensions: Methods and Scalable Algorithms

Reference 1421

Resolution
unresolved
no resolver link, observed 2026-08-04T17:54:54.074802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:54:54.074802Z digest=sha256:00755d0d88b53a67faa5a824763e35c240cf77c362f7142aa73cc8ff502caaac

Observation 84188993-32af-4793-be6d-99a9491ed79c · inbound

Ranges of Extremal Processes and Heavy-Tailed Random Walks in Spaces of Growing Dimension cites this paper.

Ranges of Extremal Processes and Heavy-Tailed Random Walks in Spaces of Growing Dimension Extremes in High Dimensions: Methods and Scalable Algorithms

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:00:54.934379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T04:56:17.681096Z digest=sha256:5ed047072ce70b9cc1b3d7d1be22e944eecef3f305c687f92b1a37ec7e3abe43

Observation da41d6d9-0be9-4a92-afea-263223b5c124 · inbound

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

Extrapolation in Statistical Learning with Extreme Value Theory Extremes in High Dimensions: Methods and Scalable Algorithms

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:31:09.534994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T16:26:07.319256Z digest=sha256:055aa6f792a8c61b99febc82aaed4543d322f49400e5285da8fd248d75fd9160

Observation 020549eb-0ed2-46ac-abd9-7ca166617298 · inbound

An Explicit Link between Extreme Value Theory and Compositional Data Analysis cites this paper.

An Explicit Link between Extreme Value Theory and Compositional Data Analysis Extremes in High Dimensions: Methods and Scalable Algorithms

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-13T02:05:33.843376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T02:05:33.843376Z digest=sha256:900ab7eff14d3e88bc39d936da6f0a9fda2f8c8ed9bd1ecc07beb076b4670282