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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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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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Mathematics Preprint PDF DOI

Multiscale Modeling for Time-harmonic Maxwell equations with impedance boundary conditions in highly heterogeneous media

Xiang Zhong, Eric T. Chung, Xingguang Jin · 2026

Modeling time-harmonic Maxwell problems in heterogeneous media presents significant mathematical and computational challenges. Due to the inherent non-elliptic structure and non-coercive nature of Max…

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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

NeSyCat: A Monad-Based Categorical Semantics of the Neurosymbolic ULLER Framework

Daniel Romero Schellhorn, Till Mossakowski · 2026

ULLER (Unified Language for LEarning and Reasoning) offers a unified first-order logic (FOL) syntax, enabling its knowledge bases to be used directly across a wide range of neurosymbolic systems. The …

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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

int3ract: Johnson-Neyman Technique and its Three-Way Extension for Frequentist and Bayesian Models in R

Robert W. Krause · 2026

Interaction effects are ubiquitous in applied statistical modelling, yet their meaningful interpretation remains challenging. The classic Johnson-Neyman (JN) technique (Johnson and Neyman 1936) addres…

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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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Physics Preprint PDF DOI

A High-Order Nodal Galerkin Formulation for the M\"uller Equation: Bypassing Divergence Conformity via Kernel Cancellation

Yao Luo · 2026

The M\"{u}ller boundary integral equation for penetrable electromagnetic scattering is conventionally discretized using divergence-conforming basis functions, a restriction inherited from the PMCHWT f…

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Computer Science Preprint PDF DOI

Self-Aware Vector Embeddings for Retrieval-Augmented Generation: A Neuroscience-Inspired Framework for Temporal, Confidence-Weighted, and Relational Knowledge

Naizhong Xu · 2026

Modern retrieval-augmented generation (RAG) systems treat vector embeddings as static, context-free artifacts: an embedding has no notion of when it was created, how trustworthy its source is, or whic…

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Computer Science Preprint PDF DOI

Break the Optimization Barrier of LLM-Enhanced Recommenders: A Theoretical Analysis and Practical Framework

Zhangchi Zhu, Wei Zhang · 2026

Large language model (LLM)-enhanced recommendation models inject LLM representations into backbone recommenders to exploit rich item text without inference-time LLM cost. However, we find that existin…

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AI & Data Science Preprint PDF DOI

RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models

Yusuf Celebi, Yag{i}z Asker, Ozay Ezerceli, Mahmoud ElHussieni, Selva Tas, Reyhan Bayraktar, Fatma Betul Terzioglu · 2026

Fine-tuning Large Language Models (LLMs) remains structurally uncertain despite parameter-efficient methods such as Low-Rank Adaptation (LoRA), as the layer-specific roles of internal representations …

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Computer Science Preprint PDF DOI

Improving LLM-Driven Test Generation by Learning from Mocking Information

Jamie Lee, Flynn Teh, Hengcheng Zhu, Mengzhen Li, Mattia Fazzini, Valerio Terragni · 2026

Large Language Models (LLMs) have recently shown strong potential for automated unit test generation. This has motivated us to investigate whether developer-defined test doubles (commonly referred to …

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