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      "statement": "# CALM and Pocket TTS: continuous-latent audio modeling and compact CPU distillation\n\nConditions a consistency-model sampler on transformer context to generate continuous audio-VAE frames; the expanded2026account distills a313M teacher into a six-layer Pocket TTS backbone while retaining its sampling head.\n\n## Scientific scope\n\nOriginal2025method and expanded2026PocketTTS account bundled, not two achievements. Inherits MAR, consistency models and later Lagrangian self-distillation; audioVAE remains lossy and temperature heuristic. Expanded paper uses90Mgenerator plus decoder for advertised100M, not the whole20MVAE. CPU results are hardware-specific, not WRS reproduction; LibriSpeech evaluation uses enhanced audio for all compared baselines, and lowest WER is tied. First2equal in v3; later multilingual/training-code releases not backdated.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nSimon Rouard; Manu Orsini; Axel Roebel; Neil Zeghidour; Alexandre Défossez\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [Continuous Audio Language Models](https://arxiv.org/abs/2509.06926v1)\n- [Kyutai scientific publications index](https://kyutai.org/papers/)\n- [Continuous Audio Language Models — expanded Pocket TTS account](https://arxiv.org/pdf/2509.06926v3)\n",
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