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      "statement": "# Neural spline flows with analytic invertibility\n\nParameterized monotonic rational-quadratic spline transforms inside coupling or autoregressive flows, increasing scalar-transform flexibility while retaining tractable derivatives and analytic inversion.\n\n## Scientific scope\n\nBuilds on inherited spline interpolation and preceding spline flows, not invention of all splines. Positive bin widths/heights/derivatives and identity-tail boundary construction enforce the stated transform properties. Analytic inversion does not eliminate autoregressive direction-dependent sampling costs.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nConor Durkan; Artur Bekasov; Iain Murray; George Papamakarios\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [Neural Spline Flows](https://arxiv.org/abs/1906.04032v1)\n",
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