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README.md

@@ -72,8 +72,9 @@ benchmark. `--gpu` uses `onnxruntime-gpu`.
 | table structure → Markdown table (cells read by Satr) | SLANet_plus | PaddlePaddle, Apache-2.0 |
 | formula → LaTeX (optional, `--formula`, experimental) | PP-FormulaNet_plus-L | PaddlePaddle, Apache-2.0 |
 
-The PaddlePaddle models are not included here. `xattot.py` downloads them from the official PaddlePaddle repositories
-at pinned revisions (see [NOTICE](NOTICE)). The pinned files are byte-identical (SHA-256) to the copies Xattot was developed and benchmarked with.
+PaddlePaddle is Baidu's open-source deep-learning platform. Xattot uses its released models in ONNX form, so the
+Paddle framework itself is not needed. These models are not included here: `xattot.py` downloads them from the
+official PaddlePaddle repositories at pinned revisions (see [NOTICE](NOTICE)). The pinned files are byte-identical (SHA-256) to the copies Xattot was developed and benchmarked with.
 
 **Satr v1:** a CNN (line height 48 px → 1, width / 4) followed by 2 Transformer blocks (d=192, 4 heads) and a CTC head.
 It has 263 output characters: Latin, Cyrillic including ҳ қ ғ ў, Greek, digits, and sub/superscript and technical