Sample Complexity and Latent Misalignment Detection in Large Language Models Across Reasoning Benchmarks

This report synthesises findings from 14 peer-reviewed papers addressing the following research question: How does the sample complexity of behavioral evaluation protocols correlate with the detection rate of latent misalignment in large language models across different reasoning benchmarks. 8 claims were extracted from source literature; 7 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.1/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the sample complexity of behavioral evaluation protocols correlate with the detection rate of latent misalignment in large language models across different reasoning benchmarks?

Autonomous literature synthesis. Automated review score: 8.1/10. Full text and citation available at Assignee Research.