AI RESEARCH
OrgForge: A Multi-Agent Simulation Framework for Verifiable Synthetic Corporate Corpora
arXiv CS.AI
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ArXi:2603.14997v1 Announce Type: cross Evaluating retrieval-augmented generation (RAG) pipelines requires corpora where ground truth is knowable, temporally structured, and cross-artifact properties that real-world datasets rarely provide cleanly. Existing resources such as the Enron corpus carry legal ambiguity, graphic skew, and no structured ground truth. Purely LLM-generated synthetic data solves the legal problem but