Buildability / Receipt

Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin

This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.

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Not build-ready: Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin

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Subject: Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Time to first demo

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Data

{"file name": "input.pdf", "number of pages": 31, "author": "Hanyang Li; Jianhao Ma; Ying Cui"

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Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin

Not build-ready: Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin

Compute envelope

External gate remains unresolved for live deployment claims.

Evidence ids

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Hash state

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