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The paper analyzes why most RL post-training methods for language models never make it into open-source frameworks, tracing seven frameworks against 6,939 arXiv papers and finding only 37 of 1,598 proposed methods were adopted, while releasing a tracker dataset linking training failures to framework implementations.