Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Progression: an extrapolation principle for regression
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.23246.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T05:49:13.464834Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T20:22:37.345874Z
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 de220288-221b-499b-ba42-207687caa4a9 · inbound
Extrapolation in Statistical Learning with Extreme Value Theory cites this paper.
Extrapolation in Statistical Learning with Extreme Value Theory Progression: an extrapolation principle for regression
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:31:09.455247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 63a32a8a-1ae6-4b31-acb5-620ae224d107 · inbound
Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach cites this paper.
Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach Progression: an extrapolation principle for regression
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T20:22:37.347771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 989ce656-abf8-45f8-a533-1b2f734b837e · inbound
Extrapolation of extreme covariates in generalized additive regression using extreme-value theory cites this paper.
Extrapolation of extreme covariates in generalized additive regression using extreme-value theory Progression: an extrapolation principle for regression
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T05:49:13.464834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.