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        "description": "Action chunking, flow/diffusion and inpainting are inherited. No-retraining applies to compatible policy/runtime assumptions, not all robot controllers or arbitrary inference delays. Later training-time conditioning is a distinct modification; empirical smoothness is not a safety/stability proof.",
        "domain": "Real-time robot-policy inference"
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      "statement": "# Black et al.: asynchronous action chunks with committed-prefix inpainting\n\nGenerated the next diffusion/flow action chunk while executing the current one, freezing already committed actions and inpainting the remaining sequence to reduce latency-induced discontinuities.\n\n## Scientific scope\n\nAction chunking, flow/diffusion and inpainting are inherited. No-retraining applies to compatible policy/runtime assumptions, not all robot controllers or arbitrary inference delays. Later training-time conditioning is a distinct modification; empirical smoothness is not a safety/stability proof.\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\nKevin Black; Manuel Y. Galliker; Sergey Levine\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- [Real-Time Execution of Action Chunking Flow Policies](https://arxiv.org/abs/2506.07339v1)\n- [Black et al.: asynchronous action chunks with committed-prefix inpainting — institutional account](https://www.pi.website/research/real_time_chunking)\n",
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