MetaPersona paper (arXiv:2609.38392v1) introduces MetaPersona-DB and persona-generation framework
The arXiv preprint (arXiv:2609.38392v1) presents MetaPersona, a framework and dataset (MetaPersona-DB) of 11,000+ annotated human-subjects studies for constructing task-grounded synthetic populations and persona dependency graphs; it samples populations from empirical priors and includes a prototype interface, MetaPersona-Studio. Evaluation across three downstream tasks (misinformation belief, AI-tool sentiment, income redistribution) and multiple models shows mixed results—strong performance on misinformation belief and AI-tool sentiment, mixed on income redistribution—and reports persona-construction costs under $0.50 per task using GPT-5.2.