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20212026
most citedQuantifying A Firm's AI Engagement: Constructing Objective, Data-Driven, AI Stock Indices Using 10-K Filings

25 citations

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5 papers · 1 filter

cond-mat.dis-nn2026

Extreme-Value Criticality and Gain Decomposition at the Integer Quantum Hall Transition

Wei-Han Li, Abbas Ali Saberi

Extreme-value fluctuations at quantum critical points remain poorly understood in the presence of strong correlations and openness. At the integer quantum Hall transition in the op…

cond-mat.dis-nn2026

Machine Learning the Strong Disorder Renormalization Group Method for Disordered Quantum Spin Chains

A. Ustyuzhanin, J. Vahedi, S. Kettemann

We train machine learning algorithms to infer the entanglement structure of disordered long-range interacting quantum spin chains by learning from the strong disorder renormalisati…

cond-mat.dis-nn2026

q-Gaussian Crossover in Overlap Spectra towards 3D Edwards-Anderson Criticality

Yaprak Onder, Abbas Ali Saberi, Roderich Moessner

We introduce a spectral approach to characterizing the three-dimensional Edwards-Anderson spin glass. By analyzing the eigenvalue statistics of overlap matrices constructed from tw…

cond-mat.dis-nn2025

Strong Disorder Renormalization Group Method for Bond Disordered Antiferromagnetic Quantum Spin Chains with Long Range Interactions: Excited States and Finite Temperature Properties

Stefan Kettemann

We extend the recently introduced strong disorder renormalization group method in real space, well suited to study bond disordered antiferromagnetic power law coupled quantum spin…

cond-mat.dis-nn2025★ 1 cited

Strong Disorder Renormalization Group Method for Bond Disordered Antiferromagnetic Quantum Spin Chains with Long Range Interactions: Ground State Properties

Stefan Kettemann

We introduce and implement a reformulation of the strong disorder renormalization group method in real space, well suited to study bond disordered antiferromagnetic power law coupl…