Paper Citation Record · LEDGER

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.15222.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.15222 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:56:43.608999Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T01:45:51.917218Z

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 7ce797e5-c2c2-4a81-adf9-bc9355fb611d · inbound

A Structured Reasoning Framework for Unbalanced Data Classification Using Probabilistic Models cites this paper.

A Structured Reasoning Framework for Unbalanced Data Classification Using Probabilistic Models Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T04:56:43.608999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 835a5e8c-26c0-4963-9483-0fd27ffd02de · inbound

Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data cites this paper.

Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T00:42:49.677084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa003568-cf7e-4b30-a605-fda79ae808f9 · inbound

Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events cites this paper.

Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:20.847314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69b14518-b7ea-407d-9f97-82b435848f32 · inbound

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence cites this paper.

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.918745Z

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.