arXiv AI September 7, 2026 By Dmitrii Vasilev

Golden Ruler: A Numeric Format Catalog with Bit-Exact Conformance Vectors for FP8, BF16, MXFP4, and Microscaling Formats

The paper introduces the Golden Ruler, a catalog of 109 numeric formats for machine learning hardware, including FP8, BF16, MXFP4, and microscaling block formats. It provides six bit‑exact conformance packs that map to IEEE P3109 v3.2.0 standards, each as a self‑contained JSON document with a SHA‑256 fingerprint and an anchor vector for cross‑pack sanity checks. The work cross‑validates these packs against ml_dtypes 0.5.4 and documents any divergences as spec‑permitted gaps, offering a vendor‑neutral reference for engineers.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI

Jun 9

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CurveFP: Rational-Radix Logarithmic Datatypes with Closed Products for Language Models

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By Clemens Schaefer, Gil Tabak

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arXiv Machine Learning

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The Integer Alibi: Localizing Cross-Kernel Divergence in INT8-Quantized LLM Inference

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By Teng-Ruei Chen

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arXiv Machine Learning

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Novel Aspects of IEEE SA P3109 Arithmetic Formats for Machine Learning

arXiv:2606. 04028v1 Announce Type: new Abstract: The IEEE P3109 draft standard defines a parameterized family of binary floating-point formats and associated operations, with a focus on facilitating machine learning.

By Andrew Fitzgibbon, Christoph M. Wintersteiger, Jeffrey Sarnoff

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An 84-Format Numeric Catalog with Bit-Exact Conformance Vectors: A Vendor-Neutral Reference for FP8, BF16, MXFP4, and Microscaling Formats

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