开发者基于 MiniCPM 构建本地文档解析验证智能体 TraceCell

📄 Can your document agent show why a result should be trusted and flag what needs another look? Community developer @mucerx built TraceCell, a local-first document parsing and verification agent powered by MiniCPM. 🔍 Three models work together: 📖 MiniCPM-OCR 1.0 parses document content. ⚖️ MiniCPM-OCR Jev scores recognition candidates. 🧠 MiniCPM-V 4.7 reviews ambiguous regions, with its answers scored again before acceptance. 📍 Every field links back to source-image coordinates, confidence, and review status in an evidence ledger. 🔄 Uncertain results trigger targeted re-parsing, model review, or human escalation. Documents are routed for automatic acceptance, spot checks, or full review. 🧮 TraceCell also checks arithmetic and reconciles documents—catching mismatches even when the text itself was recognized correctly. 🧪 The author’s current demo covers 5 synthetic documents, 83 regions, and 52 business fields. Calibration on 78 labelled samples reports 80.77% automatic acceptanc

来源：X · OpenBMB / MiniCPM · x.com