MetaPersona: Task-Grounded Synthetic Populations from Empirical Social Science Researchers introduced MetaPersona-DB, a dataset of more than 11,000 empirical human-subjects studies annotated with task-relevant variables, reported relationships, and aggregate-level population statistics, alongside MetaPersona, a framework that retrieves task-relevant evidence, builds literature-derived persona dependency graphs, and samples synthetic populations from empirical priors. Across three downstream case studies, three baselines, and three frontier models, MetaPersona performed strongly on misinformation belief and AI-tool sentiment while results on income redistribution were mixed, and it cut persona-construction cost to under $0.5 per task using GPT-5.2. The team also presented MetaPersona-Studio, a prototype interactive interface for empirically grounded persona generation. arXiv:2609.38392v1 Announce Type: new Abstract: Personas used to seed LLM social simulations face a cold-start problem: existing methods lack a principled basis for deciding which attributes to include and how to assign their values. As a result, synthetic populations may misrepresent the demographic composition, latent attributes, and dependency structure that shape downstream behavior. We introduce MetaPersona-DB, a dataset of 11,000+ empirical human-subjects studies annotated with task-relevant variables, reported relationships, and aggregate-level population statistics. Building on this resource, we propose MetaPersona, a framework that retrieves task-relevant evidence, constructs literature-derived persona dependency graphs, and samples synthetic populations from empirical priors linking demographics, latent attributes, and outcomes. Across three downstream case studies, three baselines, and three frontier models, results vary by task and model: MetaPersona performs strongly on misinformation belief and AI-tool sentiment, while results on income redistribution are mixed. It also reduces persona-construction cost to under $0.5 per task using GPT-5.2. Finally, we present MetaPersona-Studio, a prototype interactive interface for empirically grounded persona generation.