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arXiv preprints from January 1, 2026 through September 5, 2026 — 23:29:42 EST

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Posted in math.PR · 2026-09-03 · Emmanuel Kammerer, Konstantinos Kavvadias, Jason Miller, Yi Tian

The conformally invariant metric on CLE$_4$ I: subsequential limits of the non-simple CLE graph metric

We consider the conformal loop ensemble (CLE) with the parameter $κ=4$, the critical value at or below which the loops are simple and do not intersect each other or the domain boundary. We show that the loops of a CLE$_4$ uniquely determine a conformally invariant, local, and geodesic metric so that the metric ball growth from the...

💬 0 commentsarXiv:2609.04138v1PDF
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Posted in math.ST · 2026-09-03 · Sascha Gaudlitz, Sven Wang

Bernstein--von Mises theorems for Bayesian probabilistic numerics

We study probabilistic numerical methods for solving nonlinear PDEs from a Bayesian nonparametric perspective. Given noisy evaluations at random collocation points, we place a truncated Gaussian series prior on the unknown solution and establish contraction at the minimax nonparametric rate, up to a logarithmic factor. Our main...

💬 0 commentsarXiv:2609.04124v1PDF
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Posted in quant-ph · 2026-09-03 · Aditi Venkatesh, Richard R. Allen, Saúl Pilatowsky-Cameo, Bingtian Ye, Soonwon Choi

Quantum thermalization achieves optimal approximate quantum error correction

Quantum thermalization explains how an isolated many-body system naturally evolves towards a thermal state, rendering information about the initial conditions inaccessible to local measurements. This is precisely the mechanism utilized in quantum error correction, where information is protected by design through a nonlocal encoding....

💬 0 commentsarXiv:2609.04121v1PDF
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Posted in math.OC · 2026-09-03 · Meng Xu, Bo Jiang, Ya-Feng Liu, Anthony Man-Cho So

A Stochastic Riemannian Alternating Descent Ascent Method for Nonsmooth Composite Expectation Optimization on Riemannian Manifolds

In this paper, we consider a class of Riemannian nonsmooth composite expectation optimization problems, which arises in various machine learning, signal processing, and statistics applications. Noting that these problems admit structured minimax reformulations, we propose an efficient algorithm, named stochastic Riemannian alternating...

💬 0 commentsarXiv:2609.04116v1PDF
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Posted in math.ST · 2026-09-03 · Yonggang Lu

One Probability, Two Roles: The Separation of Coherence and Frequency in Adaptive Regimes

Probability plays two distinct roles in modern data-analytic practice: (i) as an internally coherent, filtration-relative language for sequential forecasting and, together with a stated loss or utility, decision making; and (ii) as a foundation for empirical claims such as stabilization, calibration, and repeated-sampling validity....

💬 0 commentsarXiv:2609.04115v1PDF
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Posted in math.CA · 2026-09-03 · Anastasios Fragkos, Ben Krause, Michael Lacey

Endpoint Estimates for Stein's Purely Quadratic Carleson Operator

We study the near $L^1$ behavior of the maximally quadratically modulated Hilbert transform \[ \mathcal{C}_2f(x) := \sup_λ \left|\operatorname{p.v.} \int_{\mathbb{R}}f(x-y)e^{2 πi λy^2} \frac{\mathrm{d} y }{y} \right| \] and its lacunary counterpart obtained by restricting $λ$ to $2^{\mathbb{Z}}.$ We prove that if $Φ$ is a Young...

💬 0 commentsarXiv:2609.04101v1PDF
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Posted in math.OC · 2026-09-03 · Brahim El Asri, Magnoudéwa Paka

Zero sum two-player differential game under three regimes

This paper investigates a two player zero-sum stochastic differential game characterized by three distinct regimes, reflecting the regime switching dynamics within the system. We aim to derive an explicit solution for a number of configurations of the switching system by means of the viscosity solutions approach. In particular, we...

💬 0 commentsarXiv:2609.04100v1PDF
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Posted in hep-th · 2026-09-03 · Yutaka Yoshida

SCFT/VOA correspondence and R-twisted reductions of $(A_2,D_{3n-2})$ Argyres--Douglas theories

We study the SCFT/VOA correspondence for the $(A_2,D_{3n-2})$ Argyres--Douglas theories with $n\geq2$. From the matching of the central charges and the equality of the Schur index with the vacuum supercharacter to all orders, we propose that the associated VOA is the logarithmic doublet algebra $\mathcal A(4n-2)$ of Feigin, Feigin,...

💬 0 commentsarXiv:2609.04099v1PDF
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Posted in math.AG · 2026-09-03 · Anubhab Pahari

Log-concavity and unimodality of Hodge numbers of Hilbert schemes of points over a surface

Let \(S\) be a smooth projective complex surface with irregularity \(q=h^{1,0}(S)\) and geometric genus \(g=h^{2,0}(S)\), and let \(S^{[n]}\) denote its Hilbert scheme of \(n\) points. We prove that, for every \(n\ge0\), the sequence \[ \left(h^{p,0}\bigl(S^{[n]}\bigr)\right)_{p=0}^{2n} \] is log-concave if and only if...

💬 0 commentsarXiv:2609.04095v1PDF
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Posted in math.NT · 2026-09-03 · Rena Chu

Short character sums of inhomogeneous polynomials

Let $p$ be a prime. We prove nontrivial bounds on short sums of Dirichlet characters mod $p$ evaluated at a class of polynomials, not necessarily homogeneous, in $n$ variables and of degree $k$. For large $n$, we further achieve nontrivial bounds for sums over boxes with side-lengths as short as $p^{1/(k-1)+\varepsilon}$, which breaks...

💬 0 commentsarXiv:2609.04092v1PDF
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Posted in q-fin.CP · 2026-09-03 · Atithi Acharya, Yue Sun, Brandon Augustino, Shouvanik Chakrabarti, Shree Hari Sureshbabu, Charlie Che

Global Multi-Maturity SPX-VIX Calibration Beyond Markovian Stitching

We develop a global framework for joint S&P 500 (SPX)-VIX smile calibration across multiple maturities without the conditional-independence restriction induced by Markovian stitching. Exact local and global feasibility are equivalent: every globally feasible law has a block-preserving SPX-Markovization that leaves each monthly...

💬 0 commentsarXiv:2609.04087v1PDF
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Posted in eess.SY · 2026-09-03 · Martín Crespo, Sergio Junco, Matías Nacusse

Formation Matrix and Energy-based Control of Multi-Agent Systems

This paper presents an energy-based controller for a multiagent robotic system designed to achieve and maintain a specific formation while moving on a plane and avoiding collisions between agents. The controller emulates a network of elementary spring-damper modules connecting pairs of agents. This network, with its de-energized...

💬 0 commentsarXiv:2609.04158v1PDF
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Posted in eess.AS · 2026-09-03 · Chen-Yuan Ning, Yang Ai, Hui-Peng Du, Xiao-Hang Jiang, Zhen-Hua Ling

Deep Neural Compression for RIR-Characterized Acoustic Environments with Structure-Aware Constraints

Room impulse responses (RIRs) characterize the acoustic environment of a room by capturing how sound propagates and decays within an enclosed space. In applications such as immersive audio rendering, accurate acoustic reconstruction often relies on spatially densely sampled RIRs. This consequently gives rise to a large volume of RIR...

💬 0 commentsarXiv:2609.04085v1PDF
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Posted in math.OC · 2026-09-03 · Isaac M Ross

Transversality Conditions for Boundary Constraints Defined by Differential Equations

What are the transversality conditions for an optimal control problem when the boundary conditions are defined by differential equations? This seemingly bizarre question is motivated by trajectory optimization problems in the $N$-body system. The question, however, is more fundamental and goes beyond problems in astrodynamics to...

💬 0 commentsarXiv:2609.04084v1PDF
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Posted in eess.SP · 2026-09-03 · Jingting Jiang, Chong Han

THz-SynC: Collective Synthesis with Contextual-Bandit-Assisted Coordination for Reconfigurable Hybrid Optical-THz AI Datacenters

Terahertz (THz) wireless interconnects offer high-capacity, low-latency, and energy-efficient rack-to-rack links capable of on-demand connectivity reconfiguration, serving as a promising complement to optical fabrics for communication-intensive distributed AI training datacenters. However, co-optimizing optical and THz resources to...

💬 0 commentsarXiv:2609.04025v1PDF
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Posted in cs.LG · 2026-09-03 · Mohammad Mohammadi, Alireza Zarei

RobustSeiz: An Open-Source Framework for Benchmarking the Robustness of EEG Seizure Detection Models

Despite strong performance on held-out electroencephalography (EEG) data, seizure detectors may fail under real-world acquisition variability, artifacts, and adversarial inputs. We introduce RobustSeiz, an open-source, model-agnostic framework that provides a standardized, reproducible protocol for stress-testing and comparing seizure...

💬 0 commentsarXiv:2609.04007v1PDF
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Posted in cs.IT · 2026-09-03 · Reinhard Wiesmayr, Nuri Berke Baytekin, Chris Dick, Christoph Studer

On the Impact of Site-Specific Training for a Real-World 5G NR System

Site-specific training can improve wireless receiver performance without increasing computational complexity. However, real-world results have so far focused on fully trainable neural receivers and single-layer transmissions. We study site-specific finetuning of three receiver architectures: fully trainable neural, model-driven...

💬 0 commentsarXiv:2609.04004v1PDF
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Posted in cs.CL · 2026-09-03 · Sanyuan Chen, Min-Jae Hwang, Sho Inoue, Anna Sun, Bokai Yu, David Kant, Dongmin Hyun, Dorian Desblancs, Gregory Antonovsky, Oleg Repin, Peng-Jen Chen, Xutai Ma, Zehai Tu, Juan Pino, Wei-Ning Hsu

Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis

We present Alignment-Free Text-Audiobox (Text-AB), a unified framework for high-quality voice dubbing and full-duplex dialogue synthesis. Building on a Diffusion Transformer trained with a flow-matching objective, Text-AB departs from the Audiobox system along three dimensions. First, it operates in a latent diffusion framework using...

💬 0 commentsarXiv:2609.03992v1PDF
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Posted in eess.SP · 2026-09-03 · Heng Wang, Kexian Gong, Peng Sun, Wei Wang, Hua Jiang

Low-Complexity Sequential Detection Framework for Single-Channel Co-Frequency Signal Separation

Practical separation of single-channel co-frequency signals (SCCFSs) is hindered by the prohibitive computational complexity of benchmark algorithms. To address this issue, we propose a low-complexity separation framework based on sequential detection (SD), in which signal separation is cast as a sequential path search over a...

💬 0 commentsarXiv:2609.03986v1PDF
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Posted in eess.AS · 2026-09-03 · Susmita Bhattacharjee, Himashri Deka, H. S. Shekhawat, S. R. M. Prasanna

Fairness Evaluation of Edge-AI Implementation for Cleft Lip and Palate Speech ASR

Automatic speech recognition (ASR) remains challenging for individuals with cleft lip and palate (CLP) because of limited pathological speech data and large variations in speech characteristics across speakers and severity levels. These recognition difficulties can reduce the accessibility of voice-based human-computer interaction,...

💬 0 commentsarXiv:2609.03982v1PDF
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Posted in eess.SP · 2026-09-03 · Ahmad Halimi Razlighi, Mohammad Siddiqur Rahman, Maximilian H. V. Tillmann, Edgar Beck, Armin Dekorsy

Cooperative Multi-Task Semantic Communication for Joint Classification and Regression Tasks

Multi-Task semantic communication (SemCom) prioritizes simultaneous execution of multiple tasks over bit-accurate reconstruction in future intelligent networks. In our prior work [1], we introduced the cooperative multi-task SemCom (CMT-SemCom) framework, in which the semantic encoder is divided into a common unit (CU) and multiple...

💬 0 commentsarXiv:2609.03977v1PDF
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Posted in eess.IV · 2026-09-03 · Jiaqi Lv, Yijie Zhu, Saki Okada, Maxwell Stanley Renna, Robert Goldin, Stefan Antonowicz, Shan E Ahmed Raza

Computationally Efficient Pathology Segmentation using Knowledge Distillation from Foundation Models

Automatic tissue segmentation is essential for large-scale analysis of histopathology whole-slide images (WSIs), but accurate pixel-level segmentation remains challenging. Pixel-level annotations are expensive to obtain, models pre-trained on natural images may transfer poorly to histopathology, and pathology foundation models,...

💬 0 commentsarXiv:2609.03947v1PDF
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Posted in quant-ph · 2026-09-03 · Gregory D. Scholes

Measurements on the separated subsystems of an entangled state

The entangled states of composite quantum systems are well studied. The particle-like nature of these systems also means that, while entangled, they can be physically separated and measurements performed on the separated subsystems. Measurements on the separated subsystems A and B should pertain to vectors in the local Hilbert space...

💬 0 commentsarXiv:2609.04178v1PDF
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Posted in hep-ph · 2026-09-03 · Nicholas L. Rodd, Benjamin R. Safdi, Tracy R. Slatyer, Weishuang Linda Xu

Confronting the Higgsino Interpretation of the LZ Event with the High-Energy Sideband

The LZ experiment has reported a single 248 keV nuclear recoil event in their $2.84$ ton-yr exposure on a xenon target. The absence of lower nuclear recoil events is naturally explained by inelastically scattering dark matter (DM), for which the nuclear recoil energy spectra are shifted upwards from zero. Excitingly, the observed rate...

💬 0 commentsarXiv:2609.04175v1PDF