Paper Citation Record · LEDGER

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2504.15491.

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

pith.paper-citation-record.v1
2504.15491 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:27:31.835651Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:57:11.276601Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:57:11.477919Z

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy16
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56435228-3d6d-4e40-8e3d-8fb1af9ef363 · outbound

This paper cites Generative AI in Financial Fraud Detection.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Generative AI in Financial Fraud Detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.421252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9aeea23b-a225-4c60-be6f-82c74dfae376 · outbound

This paper cites Financial Fraud Detection System Combining Generative Adversarial Networks and Deep Learning.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Financial Fraud Detection System Combining Generative Adversarial Networks and Deep Learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.406296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8050a88d-5d75-4f98-803e-415947d2cae5 · outbound

This paper cites an unresolved cited work.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:27:32.387933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 378feeaf-4d03-4a8e-ad32-3536ef24fabf · outbound

This paper cites Generative AI in battling Fraud.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Generative AI in battling Fraud

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.370949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e359f67e-549b-4402-9ca7-6b6c39c9d364 · outbound

This paper cites Synthetic Data Generation for Fraud Detection Using Diffusion Models.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Synthetic Data Generation for Fraud Detection Using Diffusion Models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.333770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 51bc43c5-1243-4e6f-b6dd-518dea83b87d · outbound

This paper cites Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:27:31.742399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f2f3ea-d26d-42a5-a213-f5abd47dfde5 · outbound

This paper cites Credit Card Fraud Detection via Hierarchical Multi-Source Data Fusion and Dropout Regularization,.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Credit Card Fraud Detection via Hierarchical Multi-Source Data Fusion and Dropout Regularization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.235955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d0ba35de-7218-421b-8d56-69734ddff948 · outbound

This paper cites Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:27:31.753442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b3d4e7-3aa1-410c-8065-f1d812a2cb03 · outbound

This paper cites Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:27:31.758257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d4f49d4-1133-4533-853d-d7199a2afddb · outbound

This paper cites Revisiting LoRA: A Smarter Low-Rank Approach for Efficient Model Adaptation,.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Revisiting LoRA: A Smarter Low-Rank Approach for Efficient Model Adaptation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.150872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e8168894-bdea-4857-b0c8-f5057085ee81 · outbound

This paper cites Efficient Compression of Large Language Models with Distillation and Fine-Tuning,.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Efficient Compression of Large Language Models with Distillation and Fine-Tuning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:27:31.767577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0eae562-498c-4747-a616-1ea6b4d4500c · outbound

This paper cites Deep Learning for Cross-Domain Recommendation with Spatial-Channel Attention,.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Deep Learning for Cross-Domain Recommendation with Spatial-Channel Attention,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:27:31.772251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b00793-cbec-4316-af0f-cc91e53585c7 · outbound

This paper cites Multimodal Data-Driven Factor Models for Stock Market Forecasting,.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Multimodal Data-Driven Factor Models for Stock Market Forecasting,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.116667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 676ecd57-62fe-492d-89be-917d4a58a2db · outbound

This paper cites Time-Series Premium Risk Prediction via Bidirectional Transformer,.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Time-Series Premium Risk Prediction via Bidirectional Transformer,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.101078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5700cbb6-deb4-48f6-b6d1-f5020d4a3332 · outbound

This paper cites A Reinforcement Learning Approach to Traffic Scheduling in Complex Data Center Topologies,.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions A Reinforcement Learning Approach to Traffic Scheduling in Complex Data Center Topologies,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:27:31.785562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fdfa2d8-6e1c-4bb3-aba2-41235d63750c · outbound

This paper cites Investigating Hierarchical Term Relationships in Large Language Models,.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Investigating Hierarchical Term Relationships in Large Language Models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:27:31.789842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a68d182-1f6e-45f4-b14c-53371a3bbdc8 · outbound

This paper cites A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:27:31.893881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 45a528b0-af23-438e-b998-61c7d4643860 · outbound

This paper cites Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:27:31.798911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 401ce41c-edef-4e62-8487-4a78e5b59142 · outbound

This paper cites Audit Fraud Detection via EfficiencyNet with Separable Convolution and Self-Attention.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Audit Fraud Detection via EfficiencyNet with Separable Convolution and Self-Attention

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.065755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff5a1237-1ef6-4405-922f-ae27a636520a · outbound

This paper cites A hybrid deep learning approach with generative adversarial network for credit card fraud detection.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions A hybrid deep learning approach with generative adversarial network for credit card fraud detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.051108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c32e648-05c4-4d7c-a38a-d0a26e234847 · outbound

This paper cites Fraud Data Generator: Modelling Sequence Data with Privacy in the Financial Fraud Domain.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Fraud Data Generator: Modelling Sequence Data with Privacy in the Financial Fraud Domain

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.034836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 811a830d-3ca5-482f-b0d9-9e310d4d6e80 · outbound

This paper cites Advantages of the PaySim simulator for improving financial fraud controls.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Advantages of the PaySim simulator for improving financial fraud controls

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.017122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c533edc1-72ed-4843-8fba-c7bd989e8c74 · outbound

This paper cites GCT-VAE- GAN: An image enhancement network for low-light cattle farm scenes by integrating fusion gate transformation mechanism and variational autoencoder GAN.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions GCT-VAE- GAN: An image enhancement network for low-light cattle farm scenes by integrating fusion gate transformation mechanism and variational autoencoder GAN

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:32.000911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ac66bc9-e638-44d2-90c5-639ebca90d94 · outbound

This paper cites Hemisphere-separated cross-connectome aggregating learning via VAE-GAN for brain structural connectivity synthesis.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Hemisphere-separated cross-connectome aggregating learning via VAE-GAN for brain structural connectivity synthesis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:31.985533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 35997703-9024-40d2-899d-2f6d628f3db3 · outbound

This paper cites Fraud Detection in Accounting and Finance Enhanced by Knowledge- Driven GAT Networks.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Fraud Detection in Accounting and Finance Enhanced by Knowledge- Driven GAT Networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:31.970430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b1b8d42-ac0b-4353-888d-cbc3429e5d71 · outbound

This paper cites The role of finance in environmental innovation diffusion: An evolutionary modeling approach.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions The role of finance in environmental innovation diffusion: An evolutionary modeling approach

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:27:31.955260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation d66cc7e4-2008-4343-91d1-ccedd10f0798 · inbound

Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling cites this paper.

Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:57:11.499980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.