# INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning

Source: https://arxiv.org/abs/2608.27501
Published: 2026-08-27
Status: unreviewed source report

## Source excerpt (up to 25 words)

> Mathematical reasoning has seen rapid progress in large language models (LLMs), yet existing methods optimize predominantly for final-answer correctness, raising the question whether models truly

## Review question

Check the benchmark version, sampling budget, data contamination controls, human interventions and proof-review method. A final answer or benchmark score is not evidence that every reasoning step is valid.

No independent proof check or claim of peer review.