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Physics Preprint PDF DOI

Chemical Taxonomy of $\omega$~Centauri: Ten Populations Reveal a Multi-Phase Enrichment History

Furkan Akbaba, Olcay Plevne, Timur Sahin, Sena Aleyna Senturk · 2026

$\omega$~Centauri, the most massive globular cluster in the Milky Way, exhibits a level of stellar population complexity that has long resisted a unified chemical characterisation. We exploit high-res…

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Computer Science Preprint PDF DOI

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption

Yanting Wang, Chenlong Yin, Ying Chen, Jinyuan Jia · 2026

Long-context large language models (LLMs)-for example, Gemini-3.1-Pro and Qwen-3.5-are widely used to empower many real-world applications, such as retrieval-augmented generation, autonomous agents, a…

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AI & Data Science Preprint PDF DOI

Global Optimality for Constrained Exploration via Penalty Regularization

Florian Wolf, Ilyas Fatkhullin, Niao He · 2026

Efficient exploration is a central problem in reinforcement learning and is often formalized as maximizing the entropy of the state-action occupancy measure. While unconstrained maximum-entropy explor…

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Engineering Preprint PDF DOI

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction

Zeyu Jiang, Changqing Zhou, Xingxing Zuo, Changhao Chen · 2026

Existing learning-based occupancy prediction methods rely on large-scale 3D annotations and generalize poorly across environments. We present FreeOcc, a training-free framework for open-vocabulary occ…

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Physics Preprint PDF DOI

Yukawa screening derivation of the bond-valence rule

Michael L. Whittaker, Pan Wang, Chunhui Li, Naman Katyal, Piotr Zarzycki · 2026

The bond-valence model is a standard way to estimate bond strengths in crystals, but its exponential dependence on bond length has lacked a derivation from a specific physical interaction. We show tha…

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AI & Data Science Preprint PDF DOI

Characterizing the Consistency of the Emergent Misalignment Persona

Anietta Weckauff, Yuchen Zhang, Maksym Andriushchenko · 2026

Fine-tuning large language models (LLMs) on narrowly misaligned data generalizes to broadly misaligned behavior, a phenomenon termed emergent misalignment (EM). While prior work has found a correlatio…

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AI & Data Science Preprint PDF DOI

Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling

Ansar Aynetdinov, Patrick Haller, Alan Akbik · 2026

Recent research has shown that filtering massive English web corpora into high-quality subsets significantly improves training efficiency. However, for high-resource non-English languages like German,…

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AI & Data Science Preprint PDF DOI

Response to: "A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference" by Yan et al., 2026

Klaus Mosegaard, Andrew Curtis · 2026

In a recent preprint (Mosegaard and Curtis, 2024, arXiv:2411.13570v2) we analyzed the consequences of ignoring the well-known inconsistency of classical conditional probability densities. We explained…

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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

Discontinuous BBP transitions

Dario Bocchi, Giulio Biroli, Chiara Cammarota, Federico Ricci-Tersenghi · 2026

The Baik-Ben Arous-Peche (BBP) transition sets fundamental limits for detecting low-rank structure in noisy high-dimensional data and underlies a wide range of spectral methods in many fields from phy…

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AI & Data Science Preprint PDF DOI

FineState-Bench: Benchmarking State-Conditioned Grounding for Fine-grained GUI State Setting

Fengxian Ji, Jingpu Yang, Zirui Song, Yuanxi Wang, Zhexuan Cui, Yuke Li, Qian Jiang, Xiuying Chen · 2026

Despite the rapid progress of large vision-language models (LVLMs), fine-grained, state-conditioned GUI interaction remains challenging. Current evaluations offer limited coverage, imprecise target-st…

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Mathematics Preprint PDF DOI

Geometric densities and compression radii of knot types

Makoto Ozawa · 2026

We study scale-invariant geometric quantities associated with embedded closed curves in Euclidean three-space, with an emphasis on their behavior under optimization within a fixed knot type. Given a E…

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Physics Preprint PDF DOI

Low-cost passive single-shot ultrafast imaging at 685 Gfps

Dilem Eslik, Bahad{i}r Utku Kesgin, Ugur Tegin · 2026

Capturing ultrafast transient phenomena conventionally requires streak cameras or computational imaging based on compressed sensing, which lead to complex and costly systems. In this Letter, we demons…

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Computer Science Preprint PDF DOI

An Empirical Evaluation of Code Smell Detection in Angular Applications

Maykon Nunes, Emanuel Coutinho, Carla Bezerra, Ivan Machado · 2026

Angular is one of the most widely adopted frameworks for developing large-scale, dynamic web applications. As projects increase in scope and complexity, developers face growing challenges in managing …

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Computer Science Preprint PDF DOI

WOOTdroid: Whole-system Online On-device Tracing for Android

Simon Althaus, Nikolaos Alexopoulos, Max Muhlhauser, Christian Reuter, Ephraim Zimmer · 2026

System auditing on Android faces two problems. First, existing syscall tracers lose events under load, silently overwriting entries faster than a user space reader can drain them. Second, security-rel…

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Physics Preprint PDF DOI

TBA equations for $SU(r+1)$ quantum Seiberg-Witten curve: higher-order Mathieu equation

Feiyu Peng, Hongfei Shu · 2026

We develop the ODE/IM correspondence for the higher-order Mathieu equation arising from the quantum Seiberg-Witten curve of the pure $SU(r+1)$ ${\cal N}=2$ supersymmetric Yang-Mills theory. From the s…

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AI & Data Science Preprint PDF DOI

Reversible Jump MCMC With No Regrets: Bayesian Variable Selection Using Mixtures of Mutually Singular Distributions

Don van den Bergh, Merlise A. Clyde, Adrian E. Raftery, Maarten Marsman · 2026

Bayesian variable selection requires sampling from a posterior distribution that combines discrete model indicators with continuously varying parameters, a challenge often addressed through reversible…

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Computer Science Preprint PDF DOI

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

Riley Grossman, Songjiang Liu, Michael K. Chen, Mike Smith, Cristian Borcea, Yi Chen · 2026

Generative AI is being increasingly integrated into web search for the convenience it provides users. In this work, we aim to understand how generative AI disrupts web search by retrieving and present…

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Physics Preprint PDF DOI

A Cosmological Uncertainty Relation and Late-Universe Acceleration

Savvas M. Koushiappas · 2026

We propose that the size of the universe and its rate of expansion cannot be simultaneously specified with arbitrary precision, a quantum mechanical statement encoded in a deformed commutation relatio…

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Physics Preprint PDF DOI

A perturbative Liouville prescription for the celestial three-gluon amplitude

Grzegorz Biskowski, Franco Ferrari, Marcin R. Piatek, Artur R. Pietrykowski · 2026

We study the celestial three-gluon amplitude in a dilaton background through the Mellin-Liouville formulation proposed by Stieberger, Taylor and Zhu (STZ). The original map contains an ambiguity in th…

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