A new framework called RecToM enhances Theory of Mind reasoning in large language models by modeling nested beliefs through recursive perspective construction. This approach has demonstrated superior performance on ToM benchmarks, achieving 100% accuracy on Hi-ToM with advanced LLMs like GPT-5.4 and Qwen3.5.