A researcher claims the Jev architecture everyone is discussing matches his March 2025 open-source paper

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An r/LocalLLaMA post at 786 upvotes claims the non-autoregressive, JSON-schema-constrained fast-probability architecture now circulating as "Jev" was published openly in March 2025 as arXiv 2503.23303, with weights on Hugging Face at DeepMostInnovations/sales-conversion-model-reinf-learning, a training dataset, and a pip package. The author's substantive correction to the current discussion is that the guiding model is RL, not an embedding model or an LLM. His complaint is that a frontier lab shipped the same idea with no technical paper, no open weights, and no dataset. Priority disputes are usually less clean than they look, and this one rests on the poster's own framing of what "the same idea" means, so treat it as one side of an argument with receipts attached.