Certified Boolean Quantization: Seven-Bit Counterexamples and Diffuse Gaussian Limits

Abstract Coordinate selection is a natural benchmark for compressing independent binary variables observed through binary noise. We construct two explicit fourteen-input, seven-bit quantizers that beat this benchmark near complete noise, including an exactly balanced quantizer. We then analyze a diffuse block winner-take-all family whose maximum coordinate influence vanishes and whose Gaussian limit crosses the coordinate benchmark between seven and eight output bits. Directed arithmetic certifies finite eight-bit witnesses and their noise windows. We also prove influence asymptotics, robustness to unequal blocks, sufficiency of noisy scores, and uniform convergence of the full information curve. MSC 2020: 94A29, 60F05, 65G30

Authors

Publication Details

Journal
Research Square
Published
2026-11-03
DOI
https://doi.org/10.21203/rs.3.rs-11585538/v1
Primary Topic
Algorithms and Data Compression
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Certified Boolean Quantization: Seven-Bit Counterexamples and Diffuse Gaussian Limits

Sushanth Dasari
Research Square
Algorithms and Data Compression
preprint

Certified Boolean Quantization: Seven-Bit Counterexamples and Diffuse Gaussian Limits

Sushanth Dasari
preprint en

Abstract

Abstract Coordinate selection is a natural benchmark for compressing independent binary variables observed through binary noise. We construct two explicit fourteen-input, seven-bit quantizers that beat this benchmark near complete noise, including an exactly balanced quantizer. We then analyze a diffuse block winner-take-all family whose maximum coordinate influence vanishes and whose Gaussian limit crosses the coordinate benchmark between seven and eight output bits. Directed arithmetic certifies finite eight-bit witnesses and their noise windows. We also prove influence asymptotics, robustness to unequal blocks, sufficiency of noisy scores, and uniform convergence of the full information curve. MSC 2020: 94A29, 60F05, 65G30

Research Square
Algorithms and Data Compression
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Certified Boolean Quantization: Seven-Bit Counterexamples and Diffuse Gaussian Limits — Sushanth Dasari · Research Square (2026) | TGRS Research Map | TGRS