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Computer Science Preprint PDF DOI

Crab: A Semantics-Aware Checkpoint/Restore Runtime for Agent Sandboxes

Tianyuan Wu, Chaokun Chang, Lunxi Cao, Wei Gao, Wei Wang · 2026

Autonomous agents act through sandboxed containers and microVMs whose state spans filesystems, processes, and runtime artifacts. Checkpoint and restore (C/R) of this state is needed for fault toleranc…

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AI & Data Science Preprint PDF DOI

Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers

Kaixiang Shu · 2026

A foundational assumption in CNN interpretability -- that deep encoders suppress background pixels while classifiers merely select from a cleaned feature pool (the Spatial Funnel Hypothesis) -- remain…

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Mathematics Preprint PDF DOI

Thermodynamically Constrained Information Geometric Regularization for Compressible Flows

Seth Taylor, Raymond J. Spiteri, Stephane Gaudreault · 2026

We construct and analyze a thermodynamic extension of the recently proposed information geometric regularization of Cao and Sch\"afer. The construction extends their shock-mitigating Hessian metric ge…

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Economics & Finance Preprint PDF DOI

Bootstrap Inference in Nonlinear Panel Data Models with Interactive Fixed Effects

Haoyuan Xu, Wei Miao, Geert Dhaene, Jad Beyhum · 2026

The maximum likelihood estimator in nonlinear panel data models with interactive fixed effects is biased. Several bias correction methods, such as analytical and jackknife approaches, have been propos…

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AI & Data Science Preprint PDF DOI

Population Dynamics in ARIEL Robotics Systems Featuring Embodied Evolution via Spatial Mating Mechanisms

Victoria Peterson, Akshat Srivastava, Raghav Prabhakar · 2026

We present a Spatially Embedded Evolutionary Algorithm where robot individuals exist in a physically simulated 2D environment, must navigate to encounter potential mates, and compete for survival unde…

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AI & Data Science Preprint PDF DOI

Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel framework for rapid su…

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AI & Data Science Preprint PDF DOI

Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

We consider the problems of computing the optimal rank-$1$ Hankel and Toeplitz-structured approximation of arbitrary matrices under $L_2$ and $L_1$-norm error. Such problems arise naturally in enginee…

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Computer Science Preprint PDF DOI

A Sufficient-Statistic Reduction of the Information Bottleneck to a Low-Dimensional Problem

Joss Armstrong · 2026

We show that if the conditional distribution p(C | T) factors through a sufficient statistic {\phi}(T), then the Information Bottleneck (IB) problem for (T, C) is exactly equivalent to the IB problem …

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Mathematics Preprint PDF DOI

Recovering Product BMO from Schatten Hankel operators

Konstantinos Bampouras, Karl-Mikael Perfekt · 2026

We prove that if a small Hankel operator on the product Hardy space belongs to some Schatten class $S^p$, $p < \infty$, then it has a symbol in product BMO. In other words, the conclusion of Nehari's …

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Mathematics Preprint PDF DOI

Invariant Sets and Boundary Systems of Nonautonomous Differential Inclusions

Konstantinos Kourliouros, Iacopo P. Longo, Martin Rasmussen · 2026

In this paper we propose a finite-dimensional and deterministic approach to the study of invariant sets of certain nonautonomous differential inclusions naturally arising in the context of random and …

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Mathematics Preprint PDF DOI

On a conjecture of distance spectral extremal problems

Hongzhang Chen, Jianxi Li, Yongtao Li · 2026

Brualdi and Hoffman proposed a well-known problem of determining the graph with maximum adjacency spectral radius among all graphs with given size $m$. Early work by Friedland and Stanley addressed so…

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Mathematics Preprint PDF DOI

Interlacing of zeros of polynomials completed with two additional points

Kerstin Jordaan, Vikash Kumar · 2026

We investigate completed interlacing of zeros for pairs of polynomial sequences that fail to interlace by exactly two points. Using a general mixed recurrence relation, we identify a quadratic polynom…

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Computer Science Preprint PDF DOI

Embedded Rust or C Firmware? Lessons from an Industrial Microcontroller Use Case with Ariel OS

Bipin Thapa, Daniele Alfonso, Lorenzo Bini, Licio Mapelli, Kaspar Schleiser, Romain Fouquet, Emmanuel Baccelli · 2026

As Rust gains traction for developing safer systems software, a reality check for the microcontroller hardware segment becomes necessary. How ready is the Rust ecosystem for this segment? Can Rust com…

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Physics Preprint PDF DOI

One Coordinate at a Time: Convergence Guarantees for Rotosolve in Variational Quantum Algorithms

Sayantan Pramanik, M Girish Chandra · 2026

In this paper, we resolve an open question in the field of optimization algorithms for training parametrized quantum circuits: Does the popular Rotosolve algorithm converge? Until now, interpolation-b…

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Chemistry Preprint PDF DOI

A density-functional perspective on force fields

Nan Sheng · 2026

Force fields are usually formulated directly in nuclear configuration space, whereas density functional theory is naturally formulated in terms of external potentials, densities, and variational duali…

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AI & Data Science Preprint PDF DOI

The Optimal Sample Complexity of Multiclass and List Learning

Chirag Pabbaraju · 2026

While the optimal sample complexity of binary classification in terms of the VC dimension is well-established, determining the optimal sample complexity of multiclass classification has remained open.…

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Mathematics Preprint PDF DOI

PRP, HS and LS Conjugate Gradient Methods for Interval-Valued Multiobjective Optimization Problems

Tapas Mondal, Debdulal Ghosh, Zai-Yun Peng, Yong Zhao · 2026

In this article, we develop an efficient algorithm based on three special variants of the nonlinear conjugate gradient method, namely, the Polak--Ribiere--Polyak, Hestenes--Stiefel, and Liu--Story sch…

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Mathematics Preprint PDF DOI

Quasi-Monte Carlo with a Hankel random digital net

Takashi Goda, Yang Liu, Raul Tempone · 2026

This paper proposes a new randomized design of digital nets in which the generating matrices are chosen to be random Hankel matrices. Compared with previous randomized designs of digital nets, this ap…

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Physics Preprint PDF DOI

Renormalization-group improved Schwarzschild black hole: shadow, ringdown, and strong cosmic censorship

Ahmad Al-Badawi, Faizuddin Ahmed, Izzet Sakall{i} · 2026

We study a renormalization-group (RG) improved Schwarzschild-like black hole (BH) whose lapse interpolates between a classical Schwarzschild exterior and a quantum-smoothed interior governed by a cuto…

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Computer Science Preprint PDF DOI

The Vehicle May Be Sick: Denial of Diagnostic Services by Exploiting the CAN Transport Protocol

Seungjin Baek, Seonghoon Jeong, Huy Kang Kim · 2026

Vehicle diagnostics has become essential for detecting in-vehicle errors and ensuring safety. While the Unified Diagnostic Services (UDS) protocol is widely adopted for diagnostic operations, it relie…

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