New explainable anomaly detector flags fraudulent transactions with built-in ...

Oculi converts natural language to automated credit risk analysis for financi...

HQ arXiv: AI + Accounting arXiv · 7d ago · 1 min read

Researchers introduce Oculi, an agentic conversational platform that automates credit risk analysis by translating natural language queries into SQL, statistical tests, and visualizations—reducing ...

Semi-Structured Regression Model Balances Credit Risk Prediction With Audit T...

HQ arXiv: AI + Accounting arXiv · 11d ago · 1 min read

Researchers introduce findr, a machine learning framework that combines predictive accuracy with interpretable credit risk decisions and fairness constraints for regulatory compliance.

Context Engineering Emerges as Critical Factor in AI Agent Reliability

arXiv: AI + Accounting arXiv · 1mo ago · 1 min read

Research paper argues that AI agent failures stem from weak context engineering—poor instructions, tools, and guardrails—not agent architecture alone, with implications for reliable accounting auto...

Graph neural networks detect fraud in relational financial data with provenan...

HQ arXiv: AI + Accounting arXiv · 1mo ago · 1 min read

PREF-Gate framework applies provenance-constrained evidence fusion to relational fraud detection, addressing validity issues in neighborhood risk assessment for financial graph analysis.

Diffusion Learning Boosts Fraud Detection in Transaction Graphs

HQ arXiv: AI + Accounting arXiv · 2mo ago · 1 min read

Researchers propose diffusion-guided learning to improve fraud detection in transaction networks despite sparse labels and imbalanced data, addressing real-world challenges in financial system secu...