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This paper presents a benchmark for Arabic-Russian scientific translation, including a hybrid parallel corpus of 27,000 sentence pairs and fine-tuned multilingual models (mT5, NLLB, Qwen) using LoRA. The best model achieves BLEU 23.15, and the work aims to lower language barriers for scientific knowledge exchange between Arabic and Russian researchers.