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data-free-vector-quantization

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TheDrainFlorist commited on Aug 26

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stamp reserved DOI 10.5281/zenodo.22119018

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@@ -79,9 +79,10 @@ hr{border:none; border-top:1px solid var(--rule); margin:44px 0}
 <p class="eyebrow">Quantization &middot; Apple Silicon &middot; 2026</p>
 <h1>Data-Free Vector Quantization Beats Affine Quantization at Matched Bytes Below 6 Bits</h1>
 <p><strong>Noah Zelezny</strong></p>
-<p><em>August 2026. Every number traces to a committed entry in the laboratory
-record; every margin is stated against a measured fit-to-fit noise floor
-for its geometry.</em></p>
 <h2 id="abstract">Abstract</h2>
 <p>Memory, not compute, is the binding constraint on local inference of
 large language models: a model is runnable on a given machine only if

 <p class="eyebrow">Quantization &middot; Apple Silicon &middot; 2026</p>
 <h1>Data-Free Vector Quantization Beats Affine Quantization at Matched Bytes Below 6 Bits</h1>
 <p><strong>Noah Zelezny</strong></p>
+<p><em>August 2026 · doi:<a href="https://doi.org/10.5281/zenodo.22119018">10.5281/zenodo.22119018</a>.
+Every number traces to a committed entry in the laboratory record; every
+margin is stated against a measured fit-to-fit noise floor for its
+geometry.</em></p>
 <h2 id="abstract">Abstract</h2>
 <p>Memory, not compute, is the binding constraint on local inference of
 large language models: a model is runnable on a given machine only if