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This paper introduces Pruned CTC, a method that reduces memory usage in Connectionist Temporal Classification training for large-vocabulary automatic speech recognition by restricting alignment computation, proving equivalence to full-vocabulary CTC and demonstrating strong performance with LLM adaptations in offline and streaming settings.