LLMs show persona-induced behavioral shifts in long-horizon tasks, but these don't reliably translate into stable, context-sensitive decision policies—exposing a gap between appearing to follow a persona and actually maintaining one.
THEATRON is a benchmark that tests whether large language models actually maintain consistent personas during extended decision-making tasks, rather than just expressing them superficially.