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Synthetic Data Got a Size-Weight Boundary

A calibrated frontier limits how much weighted synthetic survey data can enter an inference procedure while retaining target coverage.

Published Updated Story ID: mp-2026-08-31-015
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Summary

A calibrated frontier limits how much weighted synthetic survey data can enter an inference procedure while retaining target coverage.

The framework estimates, from historical tasks, the largest synthetic sample size allowed at each weight and supplies a simultaneous finite-sample coverage guarantee below that boundary. In opinion-survey experiments using language-model responses, the method reached target coverage and narrowed confidence intervals.

Why it matters

A calibrated frontier limits how much weighted synthetic survey data can enter an inference procedure while retaining target coverage.

Limits and context

No additional limitation was separately recorded.

Key claims

  1. A calibrated frontier limits how much weighted synthetic survey data can enter an inference procedure while retaining target coverage.

    Evidence: source-2026-08-31-017

Sources

  1. arXiv preprint 2608.28576arXiv · primary research

Corrections

No corrections have been recorded for this story.