Pakistan bombs Kabul in 'open war' on Afghanistan's Taliban government

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В России ответили на имитирующие высадку на Украине учения НАТО18:04

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Овечкин продлил безголевую серию в составе Вашингтона09:40

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GlyphNet’s own results support this: their best CNN (VGG16 fine-tuned on rendered glyphs) achieved 63-67% accuracy on domain-level binary classification. Learned features do not dramatically outperform structural similarity for glyph comparison, and they introduce model versioning concerns and training corpus dependencies. For a dataset intended to feed into security policy, determinism and auditability matter more than marginal accuracy gains.