Update README benchmark claim and footnote

README.md

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 # PDFluent Formula Recognition (ONNX): Math Formula to LaTeX for PDF to Markdown
 
-Convert cropped images of PDF display math formulas into LaTeX with this ONNX model. For developers building PDF-to-Markdown and RAG pipelines, it plugs into the PDFluent SDK, which scores the highest overall on opendataloader-bench of the engines on its public leaderboard*. Formulas output as $$...$$ blocks in your Markdown.
+Convert cropped images of PDF display math formulas into LaTeX with this ONNX model. For developers building PDF-to-Markdown and RAG pipelines, it plugs into the PDFluent SDK. PDFluent 1.3.0 ranks above every engine on the published opendataloader-bench leaderboard (as of 3 November 2026)*. Formulas output as $$...$$ blocks in your Markdown.
 
-\* Measured with the benchmark's own harness and evaluator on its 200 documents, PDFluent SDK 1.3.0, `quality="auto"` with `keep_furniture=True`, on Linux (CPU only), 29 October 2026: 0.9168 overall against 0.907 for opendataloader [hybrid], 0.885 for nutrient and 0.882 for docling. Competitor figures are taken from the benchmark's public README (read 2 November 2026), not re-run by us (our own re-run of opendataloader [hybrid] on 28 October 2026 gave 0.9068). PDFluent is not on that leaderboard; the results are submitted in a pull request: https://github.com/opendataloader-project/opendataloader-bench/pull/37. Development was optimised for this benchmark among its targets. The scores are measured on the benchmark's own 200 documents. The 19-measure result on our own held-out half and the separate checks are on pdfluent.com/benchmarks. The scores come from a release candidate wheel of 1.3.0 that reported version 1.2.0. Speed is not published. The run keeps page headers and footers, because the benchmark's ground truth counts them as content. The difference is one run without a confidence interval.
+\*Overall score 0.9168 (quality="auto", keep_furniture=True, Linux) against the engines listed in the benchmark README on 3 November 2026; submitted as pull request #37 (https://github.com/opendataloader-project/opendataloader-bench/pull/37). Other engines have submissions open that are not yet on the leaderboard.
 
 ## Use it in two lines