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Review regressions before expanding the test." ], "measure": "Numerical differences, end-to-end latency, throughput, and memory at realistic shapes.", "decision": "Keep the change only if it meets your preselected quality and latency limits and improves the metric you care about after setup and operating costs. Otherwise retain the baseline. This is an exploration plan, not a validated recommendation." }, "builder_review": null, "arxiv_id": "2609.04244", "title": "MonoMoE: An Efficient Fused Mega-kernel for Quantized MoE Decoding", "summary": "MonoMoE replaces token-major grouped/batched GEMM pipelines for block-wise quantized MoE decode with a single persistent weight-major megakernel that fuses routing, top-k, quantization, both expert projections, activation, and reduction, avoiding expert-local token tiling and multi-launch overhead. 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