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@@ -12,7 +12,7 @@ The reranker of [hpsearch](https://github.com/humanfia/hpsearch)'s `best` mode:
 [`Qwen/Qwen3-Reranker-4B`](https://huggingface.co/Qwen/Qwen3-Reranker-4B) (4B parameters) LoRA-fine-tuned twice
 (listwise softmax over one positive and seven hard negatives per query) and averaged with the base model: weights =
 0.5 base + 0.25 each fine-tune. Same prompt and yes/no scoring as Qwen3-Reranker; hpsearch shows each document as
-its Lean statement then its NL statement, cut at 128 tokens.
+its Lean statement then its NL statement, cut at 112 tokens (16 documents per query).
 
 Fine-tuning data (public, generated locally):
 - six-style search queries (a Lean fragment, LaTeX, a plain-English description, a slogan, a nickname, a concrete