Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.12780.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:51:46.151791Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:57:26.321792Z
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 65ae20bf-4620-45e2-9733-8b9aaa0c0eed · inbound
From Point to probabilistic gradient boosting for claim frequency and severity prediction cites this paper.
From Point to probabilistic gradient boosting for claim frequency and severity prediction Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:51:46.151791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0eedd72-6b2e-463a-96a3-2570fe19233a · inbound
Assessing model calibration with boosting trees cites this paper.
Assessing model calibration with boosting trees Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:57:26.323363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation abed3abc-9331-4fdf-9674-9b25c7e4dae5 · inbound
Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.
Beyond IID: How General Are Tabular Foundation Models, Really? Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice
Reference 211
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:04:21.354527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.