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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 ยท 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 thaโ€ฆ

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Computer Science Preprint PDF DOI

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese ยท 2026

Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacking and failures in fโ€ฆ

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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 ยท 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 explainedโ€ฆ

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Physics Preprint PDF DOI

$b \to c$ semileptonic sum rule: orbitally excited hadrons

Motoi Endo, Syuhei Iguro, Satoshi Mishima ยท 2026

We study semileptonic sum rules for $b \to c \tau \overline{\nu}$ transitions involving orbitally excited charm hadrons. Starting from the amplitude-level relation implied by the heavy quark symmetry,โ€ฆ

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Computer Science Preprint PDF DOI

RuC: HDL-Agnostic Rule Completion Benchmark Generation

Arnau Ayguade Domingo, Miquel Alberti-Binimelis, Cristian Gutierrez-Gomez, Emanuele Parisi, Razine Moundir Ghorab, Miquel Moreto, Gokcen Kestor, Dario Garcia-Gasulla ยท 2026

Large Language Models (LLMs) have rapidly improved in performance across code-related tasks, making their integration into Register Transfer Level (RTL) development increasingly attractive. Mimicking โ€ฆ

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Mathematics Preprint PDF DOI

M\"obius-transformed trapezoidal rule for polynomial weights

Nuutti Hyvonen, Yuya Suzuki ยท 2026

This work studies numerical integration by the M\"obius-transformed trapezoidal rule, which combines the classical trapezoidal rule with a change of variables induced by a M\"obius transformation thatโ€ฆ

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Computer Science Preprint PDF DOI

Gender Bias in YouTube Exposure: Allocative and Structural Inequalities in Political Information Environments

Jipeng Tan, Weifeng Zhang, Ye Wu, Jialin Guo, Yong Min ยท 2026

Recommendation algorithms have become the dominant mechanism for information distribution on digital platforms, profoundly shaping personalized information consumption environments. However, gender biโ€ฆ

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AI & Data Science Preprint PDF DOI

Investigating More Explainable and Partition-Free Compositionality Estimation for LLMs: A Rule-Generation Perspective

Ziyao Xu, Cong Wang, Houfeng Wang ยท 2026

Compositional generalization tests are often used to estimate the compositionality of LLMs. However, such tests have the following limitations: (1) they only focus on the output results without considโ€ฆ

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Physics Preprint PDF DOI

Fixed-PVM Born Rule Uniqueness from Fisher Non-Expansion and Operational Calibration

Aaron Lax ยท 2026

Fix a finite dimension $d \geq 2$ and a fixed rank-1 PVM $M=\{|e_1\rangle\langle e_1|,\ldots,|e_d\rangle\langle e_d|\}$ on ${\bf C}^d$. Let $P_M:\mathbb{CP}^{d-1}\to\Delta^{d-1}$ be a readout map on pโ€ฆ

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Physics Preprint PDF DOI

Derivation of the Born Rule and Operational Quantum Formalism in the Accessibility Framework through Boundary Reduction

Everett Fall, Hironori Kondo ยท 2026

We show that the operational quantum formalism -- the Born rule, L\"uders state updating, quantum interference, non-Markovian effective dynamics, and Bell inequality violation at the Tsirelson bound \โ€ฆ

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Engineering Preprint PDF DOI

Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training

Mahya Ramezani, Holger Voos ยท 2026

This paper presents a hierarchical decision-making framework for unmanned aerial vehicle (UAV) missions motivated by search-and-rescue (SAR) scenarios under limited simulation training. The framework โ€ฆ

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Physics Preprint PDF DOI

Exploring the gaseous halos of z>3 radio galaxies with UVES and JWST/NIRSpec

Jelena Ritter, Wuji Wang, Dominika Wylezalek, Carlos De Breuck, Joel Vernet, Fabrizio Arrigoni Battaia ยท 2026

High-redshift radio galaxies (HzRGs) are among the most massive galaxies in the Universe and sites of extreme active galactic nuclei (AGN) feedback processes, powering energetic radio jets. They are tโ€ฆ

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Physics Preprint PDF DOI

Binary topological logic gates in Kane-Mele nanostructures via local control of edge-state transport

K. Zberecki ยท 2026

Topological edge states are an attractive starting point for post-CMOS device concepts, but turning them into elementary logic still requires simple architectures with a clear physical mechanism. Hereโ€ฆ

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Physics Preprint PDF DOI

The PHANGS-H{\alpha} survey. Ground-based narrow-band imaging of nearby star-forming galaxies

Alessandro Razza, Guillermo A. Blanc, Brent Groves, Enrico Congiu, Justus Neumann, Hsi-An Pan, I-Ting Ho, Ashley T. Barnes, Francesco Belfiore, Mederic Boquien, Charlie Burton, Melanie Chevance, Oleg Egorov, Eric Emsellem, Chris Faesi, Simon C. O. Glover, Kathryn Grasha, Ralf S. Klessen, Kathryn Kreckel, Adam K. Leroy, Rebecca McElroy, Ismael Pessa, Eva Schinnerer, Neven Tomicic, Amirnezam Amiri, Gagandeep S. Anand, Yixian Cao, Daniel A. Dale, Simthembile Dlamini, Jing Li, J. Eduardo Mendez-Delgado, Eric J. Murphy, Debosmita Pathak, Miguel Querejeta, Lise Ramambason, Erik Rosolowsky, Fabian Scheuermann, Leonardo Ubeda, Thomas G. Williams ยท 2026

We present PHANGS-H{\alpha}, a narrow-band imaging survey that maps H{\alpha} emission over a sample of 65 nearby massive star-forming galaxies. The data were obtained using the MPG-ESO 2.2-meter teleโ€ฆ

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AI & Data Science Preprint PDF DOI

RCProb: Probabilistic Rule Extraction for Efficient Simplification of Tree Ensembles

Josue Obregon ยท 2026

Tree ensembles are widely used in industrial machine learning due to their strong predictive performance and efficient training procedures. However, as the number of trees in an ensemble grows, the reโ€ฆ

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Physics Preprint PDF DOI

Floquet engineering of tight-binding Hamiltonians in momentum space lattices

D. Ronco, F. Arrouas, N. Ombredane, E. Flament, Q. Levoy, B. Peaudecerf, D. Guery-Odelin ยท 2026

Quantum simulation with ultracold atoms provides a versatile platform to emulate condensed-matter models. In particular, momentum-space lattices enable the realization of programmable tight-binding Haโ€ฆ

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Physics Preprint PDF DOI

CSST Preparations: Galaxy Completeness and S\'ersic Profile Fitting across the Wide, Deep, and Extreme Fields

Ziqi Ma, Si-Yue Yu, Taotao Fang, Jinyi Shangguan, Zhao-Yu Li, Luis C. Ho ยท 2026

The upcoming imaging survey of the Chinese Space-station Survey Telescope (CSST) will deliver high-resolution imaging of an unprecedented number of galaxies for galaxy studies. To understand CSST's caโ€ฆ

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Physics Preprint PDF DOI

Investigation of the in-pixel response of the Mupix11 monolithic pixel sensor using a microfocus X-ray beam at Diamond Light Source

A.S. Rotelli, H. Augustin, D. Bortoletto, A. Brooks, M. Grimes, A.J.A. Knight, M.S. Koppel, A.E. McDougall, R. Plackett, D M S Sultan, L. Vigani, S. Wood ยท 2026

MuPix11 is a High-Voltage Monolithic Active Pixel Sensor (HV-MAPS) developed for the tracking system of the Mu3e experiment. The in-pixel photon response of a MuPix11 sensor thinned to 70 {\mu}m was mโ€ฆ

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Physics Preprint PDF DOI

A Particle Multi-Relaxation Bhatnagar-Gross-Krook Method for Rarefied Monatomic Gas Mixtures

Inchan Kim, Joonbeom Kim, Woonghwi Park, Eunji Jun ยท 2026

Kinetic models based on the Bhatnagar-Gross-Krook (BGK) framework provide an efficient alternative to the Boltzmann equation for rarefied gas flows; however, existing formulations for gas mixtures remโ€ฆ

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Engineering Preprint PDF DOI

OpenPodcar2: a robust, ROS2 vehicle for self-driving research

Rakshit Soni, Chris Waltham, Md Umar Ibrahim, Mark Crampton, Charles Fox ยท 2026

OpenPodcar2 is a robust, ROS2-interfaced, low-cost, open source hardware and software, autonomous vehicle platform based on an off-the-shelf, hard-canopy, mobility scooter donor vehicle. It is a modifโ€ฆ

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