Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.18544.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:53:46.079730Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T22:49:30.369999Z
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 4d84721a-4e9d-4d9a-b05d-b9ab75d88df8 · inbound
Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification cites this paper.
Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:53:46.079730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b25a423e-0fb0-41eb-b496-a0eeec9692ba · inbound
Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems cites this paper.
Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:53:14.046923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68d42b8c-d879-47e2-aaa9-02ded48c8672 · inbound
Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision cites this paper.
Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T22:49:30.374989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.