AI RESEARCH
AUDITFLOW: Executable Symbolic Environments for Structured Financial Reporting Verification
arXiv CS.AI
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ArXi:2606.03031v1 Announce Type: new Structured financial audit verification is difficult for language-model agents because correctness depends on structured evidence rather than text alone. A model must link reported facts to taxonomy concepts, traverse calculation or dimensional relations, and recompute expected values before applying an audit rule. We propose AuditFlow, a graph-grounded multi-agent framework that separates adaptive search from deterministic verification.