Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comprehensive Survey on Rare Event Prediction
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.11356.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:10:34.633106Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T18:16:42.773892Z
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 8ed487c6-df9e-47c8-a74e-d16b43656795 · inbound
Applied Statistics in the Era of Artificial Intelligence: A Review and Vision cites this paper.
Applied Statistics in the Era of Artificial Intelligence: A Review and Vision A Comprehensive Survey on Rare Event Prediction
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:10:34.633106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b7b9386-1c13-4ee2-af54-a4ce64ff214d · inbound
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach cites this paper.
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach A Comprehensive Survey on Rare Event Prediction
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:13:53.901505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef5266f8-b9b7-4029-9813-53a9eccf4581 · inbound
RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare event and Anomaly Detection cites this paper.
RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare event and Anomaly Detection A Comprehensive Survey on Rare Event Prediction
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T18:16:42.777272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.