Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.02629.
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 2026-06-27T19:48:52.564810Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:17:25.053505Z
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 6b817ec5-3ffb-45a7-8ba0-3309884c8e20 · inbound
Density-Ratio Losses for Post-Hoc Learning to Defer cites this paper.
Density-Ratio Losses for Post-Hoc Learning to Defer A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T02:47:58.935060Z
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 76f7da30-0c1b-47d8-a3b2-ca1b90382c2c · inbound
SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection cites this paper.
SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:17:25.055343Z
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.