Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 6 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 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:49:30.053614Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:24:32.561720Z

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

20 of 20 outbound references displayed

verified exact6
verified fuzzy8
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef24ae71-d76b-4a8c-a2b2-2102fc996b71 · outbound

This paper cites Design of a Personal Credit Risk Prediction Model and Legal Prevention of Financial Risks,.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Design of a Personal Credit Risk Prediction Model and Legal Prevention of Financial Risks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:49:30.543382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68d42b8c-d879-47e2-aaa9-02ded48c8672 · outbound

This paper cites Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment.

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 2026-08-20T06:33:59.587034+00:00.

Observation ff4fabce-74f1-4e0d-993b-db0cc877f9a2 · outbound

This paper cites Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:49:29.951172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c84087-08ee-4891-9510-b9dc0ea32c69 · outbound

This paper cites Efficient and Aesthetic UI Design with a Deep Learning-Based Interface Generation Tree Algorithm.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Efficient and Aesthetic UI Design with a Deep Learning-Based Interface Generation Tree Algorithm

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T22:49:29.955774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3404c4d0-db38-40f3-ac7b-ea713c497f8c · outbound

This paper cites Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T22:49:29.961014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e5e84f5-b06b-45fa-beff-9ee233ab1e38 · outbound

This paper cites Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:49:29.965631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0db10100-6782-4c04-8c92-8dd3faede385 · outbound

This paper cites Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:49:30.264867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44a80bf2-1688-488f-b4dd-d6ebb0d1b2c7 · outbound

This paper cites Dual-Branch Dynamic Graph Convolutional Network for Robust Multi-Label Image Classification,.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Dual-Branch Dynamic Graph Convolutional Network for Robust Multi-Label Image Classification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:49:30.520170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1938c9cc-1401-43dd-b4ad-09810fd88ac5 · outbound

This paper cites Modified-generative adversarial networks for imbalance text classification,.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Modified-generative adversarial networks for imbalance text classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:49:30.492340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bf572617-1952-4951-a977-42d7dc6c071a · outbound

This paper cites Resampling Techniques Study on Class Imbalance Problem in Credit Risk Prediction,.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Resampling Techniques Study on Class Imbalance Problem in Credit Risk Prediction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:49:30.472362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 34aafe41-d5db-47f9-b097-bc01adf9df55 · outbound

This paper cites The Impact of Large Interest Rate Differentials between China and the US on the Role of Chinese Monetary Policy--Based on Data Model Analysis,.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision The Impact of Large Interest Rate Differentials between China and the US on the Role of Chinese Monetary Policy--Based on Data Model Analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:49:30.449245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e28fce1c-e679-41a7-94fc-2ff55d890e35 · outbound

This paper cites Fraud Detection in Credit Risk Assessment Using Supervised Learning Algorithms,.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Fraud Detection in Credit Risk Assessment Using Supervised Learning Algorithms,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:49:30.432706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db5ba4e7-75c1-4761-be1f-a8ea72ec1c7f · outbound

This paper cites A Hybrid CNN-LSTM Model for Enhancing Bond Default Risk Prediction,.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision A Hybrid CNN-LSTM Model for Enhancing Bond Default Risk Prediction,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T22:49:30.001818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f70501df-a5b4-41b1-8421-dac4b676f04a · outbound

This paper cites Adaptive Feature Interaction Model for Credit Risk Prediction in the Digital Finance Landscape,.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Adaptive Feature Interaction Model for Credit Risk Prediction in the Digital Finance Landscape,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:49:30.406528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90f992e6-c183-4547-8232-e8b441c7d3c9 · outbound

This paper cites A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:49:30.231927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c572d25-df60-43ab-90ec-1e428414e0c6 · outbound

This paper cites Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:49:30.198968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation da2ee4b5-f913-4744-b1e0-b4bcd11ccc68 · outbound

This paper cites Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T22:49:30.028867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0056cfeb-e4ae-4ec6-ae8a-e7afba147e14 · outbound

This paper cites Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:49:30.140386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b4140caa-f2c8-416f-b92d-1714201dc246 · outbound

This paper cites Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:49:30.115131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2c8c119-bcab-4b91-82a8-790ab2751b36 · outbound

This paper cites Transformers in Opinion Mining: Addressing Semantic Complexity and Model Challenges in NLP,.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Transformers in Opinion Mining: Addressing Semantic Complexity and Model Challenges in NLP,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:49:30.390831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation e3187298-6aff-4e35-9d5e-b811470b253f · inbound

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models cites this paper.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.117548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+00:00.

Observation e89c734a-f515-4d2a-9b49-296b23529128 · inbound

TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement cites this paper.

TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision

Reference 225

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:32.561720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.