Researchers introduce MagicBeanStalk, an algorithm for generating synthetic data for reinforcement learning via reinforcement (RLVR) that avoids the zero-advantage trap by producing problems that require complex reasoning and are calibrated to a specific budget. This leads to improved performance on several benchmarks, including gpt-oss-120b and DeepSeek v4Flash.