Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.04283.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:55:20.874631Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T11:03:15.322618Z
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 6ac17f44-058f-4e87-816e-8ef0528f6597 · 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 Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:53:45.897816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8be1b810-02f0-447c-8a8f-f46c106f239a · inbound
A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation cites this paper.
A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:55:20.874631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9fc159e-b141-4942-9dec-7fac1c13913e · inbound
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches cites this paper.
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:01:12.862430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1494931-853b-423f-a1aa-1906f1b3ee0d · inbound
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data cites this paper.
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:03:15.328165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.