# Reward Granularity in RLVR: Comparing Process and Outcome Reward Structures for Mathematical Reasoning in Small Language Models

Source: https://arxiv.org/abs/2607.02869
Published: 2026-07-03
Status: unreviewed source report

## Source excerpt (up to 25 words)

> Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a promising paradigm for improving mathematical reasoning in language models. Yet most RLVR work rewards only

## 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.