Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.17909.
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 2026-08-12T17:53:45.901945Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T11:03:15.338433Z
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 e7942980-c96c-4fe5-83a0-0296e4cc8070 · 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 Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:53:45.901945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 104499e3-cccc-4a5e-84ad-80fc18f6f7bb · 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 Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:01:12.875895Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dfb4ebb-d989-4e6a-9a66-d10099fe3365 · 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 Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:03:15.342216Z
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.