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Black et al.: asynchronous action chunks with committed-prefix inpainting

Contribution grade

Real-time robot-policy inference · Human-designed research method or resource

Reference score80,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Generated 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.

Scientific scope

Generated 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. 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.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. 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.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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