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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": "2610.28784", "title": "Extreme Low-State Quantized Transformer for Electricity-Load Forecasting", "summary": "The method replaces full-precision weights in a Transformer forecaster with 3-, 5-, 7-, or 16-state quantized weights, trained via quantization-aware fine-tuning or scratch QAT, plus an accumulated-update thresholding scheme that suppresses weight-state activity. 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