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arXiv — cs.AI

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BlockLock: Reproducible LLM Inference with Fixed Batch Geometry

arXiv:2611.06977v1 Announce Type: new Abstract: Reproducible LLM inference requires that a request produces the same output regardless of the other requests in the batch. Existing solutions pay for this in different ways: batch-invariant kernels constrain every operator, and…

arXiv — cs.AIBy: Xiuyuan Qi, Pedro Reviriego, Javier Conde, Shanshan LiuNovember 6, 2026 (2 hours ago)
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  • arXiv:2611.06977v1 Announce Type: new Abstract: Reproducible LLM inference requires that a request produces the same output regardless of the other requests in the batch
  • Existing solutions pay for this in different ways: batch-invariant kernels constrain every operator, and…
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BlockLock: Reproducible LLM Inference with Fixed Batch Geometry

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