---
title: "Reproduction - High-Dimensional Learning Dynamics of Quantized Models with STE"
emoji: 🔢
colorFrom: blue
colorTo: blue
sdk: static
pinned: false
tags:
 - trackio
 - trackio-logbook
 - open-experiment
 - icml2026-repro
 - paper-bI9moH3UZw
---

# Reproduction - High-Dimensional Learning Dynamics of Quantized Models with STE

Independent deterministic audit of all five registered claims using a
20,000-particle mean-field SDE, the source macroscopic ODE, 48 finite-dimension
one-pass STE runs, plateau/drop sweeps, fixed-point stability controls, and
all three small-step asymptotic regimes. All 15 scientific gates pass in two
warning-strict byte-identical runs.

Primary source: https://arxiv.org/pdf/2510.10693v1
OpenReview: https://openreview.net/forum?id=bI9moH3UZw
OpenReview paper ID: bI9moH3UZw
arXiv version: 2510.10693v1
Primary PDF SHA-256: 6572a9be1af275679eeb66c0d47d147a0f88cbef92f2ff1529516d422d4fe6bc
Implementation: independent from the formulas and algorithms in the pinned PDF.
No competitor artifact or result was used.