Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Extremes in High Dimensions: Methods and Scalable Algorithms
As of 10 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:13:58.050333Z
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.
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.
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.
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.
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.