newsReddit r/MachineLearningTrust 72 · CommunityPublished 1mo agoLive · 1mo ago
Building an AI loan document intelligence platform — shipped fraud detection, hybrid search, and 3-tier email fallback this week[P]
What shipped this week: Real fraud detection (8 heuristic rules) Replaced a no-op stub with actual signal detection: FR-001: Unredacted SSN in document body FR-002: Duplicate content hash (same doc resubmitted under a new name) FR-003: Implausibly round income figures ($50,000.00, $80,000.00) FR-004: Future-dated years in document text FR-005: Filename patterns sugges
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 49%Teboho66/SentinelPay →
- PossiblePossibly related (embedding) · 46%docwire/docwire →
- PossiblePossibly related (embedding) · 51%wanshuiyin/Anti-Autoresearch →
- PossiblePossibly related (embedding) · 52%Benchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasks →
- PossiblePossibly related (embedding) · 49%Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigation →
- PossiblePossibly related (embedding) · 46%LAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing →
Covers (incoming)
repoTeboho66/SentinelPayrepodocwire/docwirerepowanshuiyin/Anti-AutoresearchpaperBenchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel taskspaperToward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case InvestigationpaperLAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing
Related across the graph
paperBenchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasksrepoTeboho66/SentinelPayrepodocwire/docwirepaperLAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document AuditingpaperToward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigationrepowanshuiyin/Anti-Autoresearch