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Review regressions before expanding the test." ], "measure": "Peak memory, task pass rate, latency, and total serving cost at the same context and load.", "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": "2609.18131", "title": "Colla-Q: Toward Collaborative Experts in MoE Quantization via Minimax Precision Balancing", "summary": "Colla-Q replaces uniform bit-width quantization of MoE experts with a minimax bit-allocation scheme that assigns precision per expert based on activation entropy, aiming to equalize per-expert degradation rather than minimize average error. 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