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Physics Preprint PDF DOI

Source-independent quantum key distribution without pre-sending entanglement

Rong-Zheng Liu, Hua-Lei Yin · 2026

Quantum key distribution (QKD) theoretically offers information-theoretic security. The prevailing approach is the prepare-and-measure BB84 protocol, which implements QKD using conventional laser rath…

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Physics Preprint PDF DOI

Astrocytes: Arnol'd Tongues Generalization in Dynamical Systems' Parameter Plane

Gonzalo Marcelo Ramirez-Avila, S. Leo Kingston, Marek Balcerzak, Jerome Daquin, Timoteo Carletti, Tomasz Kapitaniak · 2026

We discovered generalized structures, named astrocytes due to their shape, that constitute a defined region characterizing regular behavior within the parameter plane (PP) of dynamical systems (DSs). …

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Economics & Finance Preprint PDF DOI

The Signal Credibility Index for Prediction Markets: A Microstructure-Grounded Diagnostic with Weighted and Time-Varying Extensions

Maksym Nechepurenko · 2026

Prediction-market price moves are widely treated as informationally equivalent: a price jump is read the same way regardless of whether it reflects durable Bayesian updating, transient liquidity press…

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Mathematics Preprint PDF DOI

Explicit Planar Finite Element Elasticity Complexes and $C^1$ Elements on Barycentric Refinements

Chunyu Chen, Long Chen, Xuehai Huang · 2026

The exact-sequence structure behind the Arnold--Douglas--Gupta family of higher-order mixed finite elements for plane elasticity on barycentric refinements is made explicit. On each macro triangle, th…

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AI & Data Science Preprint PDF DOI

Layer-wise Lipschitz-Product Control for Deep Kolmogorov--Arnold Network Representations of Compositionally Structured Functions

Aleksander Tankman · 2026

We prove that any continuous function f from [0,1]^n to R representable by a finite computation tree with N internal nodes and compositional sparsity s = O(1) admits a deep Kolmogorov-Arnold Network (…

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Physics Preprint PDF DOI

Quantum Flat Connections, KZ equations, and Integrability

Sibasish Banerjee, Babak Haghighat, Anouchah Latifi · 2026

N=2 supyersymmetric Yang-Mills theories are described in terms of a Hitchin system over a Riemann surface C. Focusing on strongly coupled Argyres-Douglas theories, we show that the corresponding flat …

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Mathematics Preprint PDF DOI

Terminal Defects, Growing Multiplicity, and Variance Extremality in the Double Dixie Cup Problem

Christopher D. Long · 2026

We develop a terminal-defect method for the double Dixie cup problem and use it to prove the finite-variance extremality conjecture of Doumas and Papanicolaou. For every \(m\ge1\) and \(N\ge2\), among…

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Physics Preprint PDF DOI

TDCOSMO XXVI: Uniform lens modeling of eight doubly imaged quasars

Ryan Brady, Xiang-Yu Huang, Simon Birrer, Anowar J. Shajib, Nafis Sadik Nihal, Cameron Lemon, Martin Millon, Veronica Motta, Dominique Sluse, Frederic Courbin · 2026

We present the first uniform gravitational lens modeling analysis of eight doubly imaged quasars from multi-band observations with the Hubble Space Telescope. Previous time-delay cosmography analyses …

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AI & Data Science Preprint PDF DOI

DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting

Naveen Mysore · 2026

Accurate time series forecasting in scientific domains such as climate modeling, physiological monitoring, and energy systems benefits from both competitive predictions and model transparency. This wo…

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AI & Data Science Preprint PDF DOI

Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks

Vugar Ismailov · 2026

We analyze the universal approximation property of Kolmogorov-Arnold Networks (KANs) in terms of their edge functions. If these functions are all affine, then universality clearly fails. How many non-…

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Engineering Preprint PDF DOI

Partition-of-Unity Gaussian Kolmogorov-Arnold Networks

Amir Nooeizadegan · 2026

Gaussian basis functions provide an efficient and flexible alternative to spline activations in KANs. In this work, we introduce the partition-of-unity Gaussian KAN (PU-GKAN), a Shepard-type normalize…

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AI & Data Science Preprint PDF DOI

Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting

Chen Zeng, Jiahui Wang, Qiao Wang · 2026

Existing theory suggests that Kolmogorov-Arnold Networks (KANs) can overcome the spectral bias commonly observed in neural networks under the assumption that inputs are statistically independent. Howe…

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AI & Data Science Preprint PDF DOI

KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition

Zhaoxiang Liu, Zhicheng Ma, Kaikai Zhao, Kai Wang, Shiguo Lian · 2026

The Convolutional Neural Networks (CNNs) have been the dominant and effective approach for general computer vision tasks. Recently, Kolmogorov-Arnold neural networks (KANs), based on the Kolmogorov-Ar…

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Sociology & Anthropology Preprint PDF DOI

Equations of Motion for an Economy: Capital Deepening, Technology, and Firm Survival

Robert T. Nachtrieb · 2026

We derive equations of motion for capital deepening in a competitive economy directly from accounting identities, without assuming a production function. A profit imperative $\eta^* \equiv (w/\kappa +…

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Mathematics Preprint PDF DOI

Compactness of products and commutators of inner projections

Peiran Zhang, Roumei Tian, Yufeng Lu, Yixin Yang, Chao Zu · 2026

In this paper, we study the compactness of the product and the commutator of two inner projections on the Hardy spaces over the unit disk and the polydisc. For the single-variable case, we provide a c…

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AI & Data Science Preprint PDF DOI

LTBs-KAN: Linear-Time B-splines Kolmogorov-Arnold Networks

Eduardo Said Merin-Martinez, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello · 2026

Kolmogorov-Arnold Networks (KANs) are a recent neural network architecture offering an alternative to Multilayer Perceptrons (MLPs) with improved explainability and expressibility. However, KANs are s…

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Physics Preprint PDF DOI

A SPHEREx Pipeline and Spectral Library for Ultracool Dwarfs

Jonathan Gagne, Jacqueline K. Faherty, Azul Ruiz Diaz, Louis-Philippe Coulombe, Thomas P. Bickle, Adam C. Schneider, J. Davy Kirkpatrick, Marc J. Kuchner, Aaron M. Meisner, Dan Caselden, Adam J. Burgasser, Sarah Casewell, Easton J. Honaker, Frank Kiwy, Federico Marocco, Nikolaj Stevnbak Andersen, Lizzeth Ruiz Arroyo, Bruce Baller, Paul Beaulieu, John Bell, Martin Bilsing, Troy K. Bohling, Guillaume Colin, Giovanni Colombo, Sam Deen, Alexandru Dereveanco, Kevin Dixon, Hugo A. Durantini Luca, Deiby Flores, Christoph Franck, Christopher Fulvi, Michael Gallmann, Jean Marc Gantier, Konstantin Glebov, Leopold Gramaize, Leslie K. Hamlet, Ken Hinckley, Kevin Jablonski, Peter A. Ja{l}owiczor, Martin Kabatnik, Peter Kasprowitz, K Ly, David W. Martin, Naoufel Marzak, Alexander McColgan, Neil J. McEwan, Marianne N. Michaels, William Pendrill, Stephane Perlin, Ben Pumphrey, James Rabe, Henry Raway, Walter Ruben Robledo, David Roser, Animesh Roy, Arttu Sainio, Vincent Schindler, Manfred Schonau, Jo rg Schumann, Karl Selg-Mann, Andrea Serio, Patrick Smith, Andres Stenner, Christopher Tanner, Melina Thevenot, Vinod Thakur, Mayahuel Torres Guerrero, Maurizio Ventura, Nikita V. Voloshin, Jim Walla, Zbigniew Wedracki, Bailey Weyandt, Breck Wilhite, Spartacus Zitouni · 2026

We present a Python spectrophotometry extraction tool tailored for fast-moving point sources detected in the SPHEREx mission, and use it to construct a set of 0.75-5.0 {\mu}m low-resolution ({\lambda}…

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Mathematics Preprint PDF DOI

Orthosymplectic quantum groups revisited

Kyungtak Hong, Alexander Tsymbaliuk · 2026

We present the RLL-realization of extended orthosymplectic quantum supergroups for any parity sequence, with R-matrices evaluated in the earlier work arxiv:2408.16720. Our isomorphism is compatible wi…

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AI & Data Science Preprint PDF DOI

BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature

Jiaxian Yan, Jintao Zhu, Yuhang Yang, Qi Liu, Kai Zhang, Zaixi Zhang, Xukai Liu, Boyan Zhang, Kaiyuan Gao, Jinchuan Xiao, Enhong Chen · 2026

Protein-ligand bioactivity data published in the literature are essential for drug discovery, yet manual curation struggles to keep pace with rapidly growing literature. Automated bioactivity extracti…

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Physics Preprint PDF DOI

A four-player potential game for barren-plateau-aware quantum ansatz design

Ruben Dario Guerrero · 2026

We cast the design of parameterized quantum circuits as a four-player potential game whose state is a circuit directed acyclic graph (DAG) and whose players encode trainability, non-stabilizerness, ta…

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