Preprint Mathematics
First-Hit Stopping and Bias-Corrected Score Inference in Dimension Three
- Manuscript
- Archived
- Edition
- 1 · Permanent link
Overview
Abstract
The actual first residual crossing of the symmetric half-Sinkhorn iteration is studied for observations from a fixed positive smooth density on the three-dimensional torus. A two-scale score correction computed from the same sample removes first-order population bias. In a specified power-bandwidth and tolerance range, stopping each run at its first observable residual hit preserves the corrected estimator’s fixed-query Gaussian limit. The paper gives the leading stopping count, an attained-residual bracket, the joint covariance, and an explicit correction-specific lower-bandwidth obstruction.
Keywords entropic self-transport · symmetric Sinkhorn · score estimation · first-hit stopping · bias correction
Scope of the work
Fixed positive C8 densities on the unit three-torus, a fixed deterministic query, the exact periodic heat kernel, and the same observations at both bandwidths. The sealed manuscript treats 2/17 < κ < 1/3 and 0 < γ < 3/4.
Reproduction notes
The publication package contains the complete 20-page manuscript, six LaTeX source files, a portable local PDF build helper, citation metadata, and reader instructions. Manuscript version 1.1 is an exposition revision for this initial public edition and a linked dimension-three follow-up to the earlier d1/d2 paper.
The manuscript
Read the paper
The complete manuscript, as published in this edition.
If the reader is unavailable on your device, open or download the PDF directly.
Author disclosures
AI tools assisted mathematical development, literature discovery, drafting and checking. The author is responsible for the content.
A stable scholarly record
Cite this edition
Scott Schubr. (2026). First-Hit Stopping and Bias-Corrected Score Inference in Dimension Three (Version 1). Luminary Research Archive. https://luminaryoddities.com/researcharchive/first-hit-stopping-bias-corrected-score-inference-dimension-three/v/1
BibTeX
@techreport{luminary_first_hit_stopping_bias_corrected_score_inference_dimension_three_v1,
title = {First-Hit Stopping and Bias-Corrected Score Inference in Dimension Three},
author = {Scott Schubr},
year = {2026},
institution = {Luminary Research Archive},
type = {Preprint},
note = {Version 1},
url = {https://luminaryoddities.com/researcharchive/first-hit-stopping-bias-corrected-score-inference-dimension-three/v/1}
}Reader correspondence
Share feedback
Questions, observations, and corrections are welcome. Your message goes privately to the research team and refers to edition 1.
Sign in to Luminary