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Physics Preprint PDF DOI

BV quantization of $\phi^3$-theory on $\lambda$-Minkowski space: Tree-level correlation functions

Djordje Bogdanovic, Marija Dimitrijevic Ciric, Stefan Djordjevic, Richard J. Szabo · 2026

We review the quantization of scalar field theory on $\lambda$-Minkowski space using the Batalin--Vilkovisky (BV) formalism. We consider $\phi^3$-theory in two different quantization schemes: standard…

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Computer Science Preprint PDF DOI

When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia · 2026

A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team brainstorming, and …

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Physics Preprint PDF DOI

Axion dark matter from extended misalignment with a constant-$\omega_\phi$ pre-oscillatory phase and dark radiation

Jose Maria Perez-Poyatos · 2026

In this work, we extend the standard pre-inflationary misalignment mechanism for axion-like particles (ALPs) by introducing a pre-oscillatory phase with constant equation of state $\omega_\phi\in[-1,1…

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Computer Science Preprint PDF DOI

Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction

Martin Schottlender, Pengjie Zhou, Veronika Volkova, Fatima Rani, Ruifeng Zheng, Juan A. Cabrera, Frank H.P. Fitzek, Pit Hofmann · 2026

Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking research paradigm: Synthet…

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Computer Science Preprint PDF DOI

SimEval-IR: A Unified Toolkit and Benchmark Suite for Evaluating User Simulators and Search Sessions

Saber Zerhoudi · 2026

User simulators are increasingly central to interactive information retrieval, yet the community lacks standardized evaluation tools. Simulators serve two objectives, behavioral realism (matching real…

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Physics Preprint PDF DOI

Spin-Induced Nonlinear Scalarization of Kerr Black Holes in Einstein-scalar-Gauss-Bonnet Gravity

Meng-Yun Lai, Hyat Huang, Jutta Kunz, Yun Soo Myung, De-Cheng Zou · 2026

We investigate spin-induced scalarization of Kerr black holes in an Einstein-scalar-Gauss-Bonnet (EsGB) model that does not admit a linear tachyonic instability of the scalar-free solution. The scalar…

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Physics Preprint PDF DOI

Chern number reversal and emergent superconductivity in rhombohedral graphene induced by in-plane magnetic fields

Xiaozhou Zan, Hangzhe Li, Jiawei Guo, Gengdong Zhou, Kangyao Chen, Cihan Gao, Zijun Xu, Kenji Watanabe, Takashi Taniguchi, Anqi Wang, Jie Shen, Jinsong Zhang, Zhida Song, Yayu Wang · 2026

Rhombohedral graphene with topological flat bands offers an ideal platform for realizing correlated and topological quantum phases. Here we investigate hBN aligned eight-layer rhombohedral graphene mo…

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Computer Science Preprint PDF DOI

Toward a Characterization of Simulation Between Arithmetic Theories

Hunter Monroe · 2026

We study when a sound arithmetic theory $\mathcal S{\supseteq}S^1_2$ with polynomial-time decidable axioms efficiently proves the bounded consistency statements $Con_{\mathcal S{+}\phi}(n)$ for a true…

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AI & Data Science Preprint PDF DOI

Single-Observation Uniformity Testing under Increasing Precision via Lacunary Harmonic

Davide Ferrari · 2026

A test of uniformity on [0,1] is developed for the setting of a single observation recorded with sufficient precision. Although consistency against general alternatives is not attainable with only one…

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Mathematics Preprint PDF DOI

Iterated Aluthge transforms of some composition operators on weighted Bergman spaces

Sudeshna Lahiri, Sarita Ojha, Riddhick Birbonshi · 2026

In this paper, we compute the iterated Aluthge transforms $\widetilde{C_\phi}^{(n)}$ of the composition operator $C_\phi$ on the weighted Bergman spaces $\mathcal{A}_\alpha^2(\mathbb{D})$, where $\phi…

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AI & Data Science Preprint PDF DOI

RayFormer: Modeling Inter- and Intra-Ray Similarity for NeRF-Based Video Snapshot Compressive Imaging

Yubo Dong, Danhua Liu, Anqi Li, Zhenyuan Lin · 2026

Video snapshot compressive imaging (SCI) enables the reconstruction of dynamic scenes from a single snapshot measurement. Recently, NeRF-based methods have shown promising reconstruction performance. …

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AI & Data Science Preprint PDF DOI

When Agents Evolve, Institutions Follow

Chao Fei, Hongcheng Guo, Yanghua Xiao · 2026

Across millennia, complex societies have faced the same coordination problem of how to organize collective action among cognitively bounded and informationally incomplete individuals. Different civili…

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AI & Data Science Preprint PDF DOI

When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometry

Kathrin Korte, Joachim Winter Pedersen, Eleni Nisioti, Sebastian Risi · 2026

To preserve previously learned representations, continual learning systems must strike a balance between plasticity, the ability to acquire new knowledge, and stability. This stability-plasticity dile…

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AI & Data Science Preprint PDF DOI

FUN: A Focal U-Net Combining Reconstruction and Object Detection for Snapshot Spectral Imaging

Dahua Gao, Yubo Dong, Anqi Li, Zhenyuan Lin, Ang Gao, Danhua Liu, Guangming Shi · 2026

Conventional push-broom hyperspectral imaging suffers from slow acquisition speeds, precluding real-time object detection; in contrast, snapshot spectral imaging enables instantaneous hyperspectral im…

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AI & Data Science Preprint PDF DOI

Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior

Ali Aghazadeh Ardebili, Massimo Stella · 2026

Large Language Models (LLMs) can strongly shape social discourse, yet datasets investigating how LLM outputs vary across controlled social and contextual prompting remain sparse. Cognitive Digital Sha…

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AI & Data Science Preprint PDF DOI

Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs

Naomi Esposito, Anthony Tricarico, Luisa Porzio, Ali Aghazadeh Ardebili, Massimo Stella · 2026

To enhance LLMs' impact on math education, we need data on their mathematical prowess and biases across prompts. To fill this gap, we introduce MEDS (Math Education Digital Shadows) as a dataset mappi…

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Mathematics Preprint PDF DOI

Pancyclicity in Graph Families with the Ore-Type Condition

Luyi Li, Yubo Wang, Guiying Yan · 2026

Let $ n \in \mathbb{N} $ with $ n \geq 3 $, and let $\mathcal{G} = \{G_i:i\in [n]\} $ be a family of $ n $-vertex graphs on a common vertex set $V$, where the graphs in the family do not need to be di…

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History & Literature Preprint PDF DOI

Lorentz-FitzGerald Contraction as the Unique Closure Condition for Moving Spherical-Harmonic Cavities

Shiva Meucci · 2026

We prove that the Lorentz--FitzGerald contraction is the unique deformation of a resonant cavity moving through a mechanical wave medium that preserves spherical-harmonic phase closure. For a cavity m…

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Physics Preprint PDF DOI

Constraints on a Light Singlet Scalar from Combined Exotic Higgs Decays

F. Azari, M. Haghighat · 2026

We investigate the phenomenology of the Standard Model extended by a real gauge-singlet scalar field, focusing on exotic Higgs decay channels. For a light scalar mass in the range \(0 < m_{\phi} < 40\…

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AI & Data Science Preprint PDF DOI

Softmax-GS: Generalized Gaussians Learning When to Blend or Bound

Chen Ziwen, Peng Wang, Hao Tan, Zexiang Xu, Li Fuxin · 2026

3D Gaussian Splatting (3D GS) is widely adopted for novel view synthesis due to its high training and rendering efficiency. However, its efficiency relies on the key assumption that Gaussians do not o…

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