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Sociology & Anthropology Preprint PDF DOI

Phase Transitions in Economic Inequality:Taxation and Extremal Replacement Dynamics

Lautaro Giordano, Sebastian Goncalves, Jose Roberto Iglesias, Maria Fabiana Laguna · 2026

We present a minimal agent-based model of interacting agents characterized by their wealth to study taxation and inequality in a non-conservative economy. Wealth evolves through an extremal stochastic…

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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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Physics Preprint PDF DOI

The DAMSA Experiment

Prithak Bhattarai, Andrew Brandt, Alan Bross, Bradley Brown, Samriddha Chakraborty, Haohui Che, Bhupal Dev, Bhaskar Dutta, Juan V. Estrada, Eric Garcia, Anthony Gomez, Gajendra Gurung, Brian Joshua Gomez Hernandez, Wooyoung Jang, Jay Hyun Jo, Krzysztof Jod{l}owski, Doojin Kim, Eunsu Kim, Hyunyong Kim, Shin Hyung Kim, Young-Kee Kim, Jing Liu, Chang-Seong Moon, Donna Naples, David Nygren, Minseok Oh, Vittorio Paolone, Hyangkyu Park, Jong-Chul Park, Nathaniel J. Pastika, Rohit Raut, Juergen Reichenbacher, Paul Rubinov, Eunsuk Seo, Veronika Shalamova, Seodong Shin, Melvin Shochet, Adrian Thompson, Yau Wah, Shawn Westerdale, Guang Yang, Un-Ki Yang, Inseok Yoon, Jaehoon Yu · 2026

DAMSA (DArk Messenger Searches at an Accelerator) is a novel short-baseline accelerator/beam dump experiment aimed at probing short-lived physics processes, including searches for evidence of a dark s…

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Engineering Preprint PDF DOI

GSDrive: Reinforcing Driving Policies by Multi-mode Trajectory Probing with 3D Gaussian Splatting Environment

Ziang Guo, Min Chen, Xuefeng Zhang, Yixiao Zhou, Zufeng Zhang, Dzmitry Tsetserukou · 2026

End-to-end (E2E) autonomous driving presents a promising approach for translating perceptual inputs directly into driving actions. However, prohibitive annotation costs and temporal data quality degra…

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AI & Data Science Preprint PDF DOI

What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design

Ivan Bercovich · 2026

Terminal-agent benchmarks have become a primary signal for measuring the coding and system-administration capabilities of large language models. As the market for evaluation environments grows, so doe…

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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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Computer Science Preprint PDF DOI

Feature-Centric Methodology for Analyzing Cross-Chain NFT Migration Compatibility

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li · 2026

Cross-chain NFT migration refers to the process of transferring digital assets along with their associated functionalities and guarantees between distinct blockchain platforms. However, architectural …

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Computer Science Preprint PDF DOI

Order-invariant cluster first-order logic on graph classes of bounded degree

Fatemeh Ghasemi, Julien Grange · 2026

We introduce a new logic, called \emph{cluster first-order logic}, a restricted fragment of first-order logic specifically designed to study order invariance. An order-invariant formula is one on a vo…

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Engineering Preprint PDF DOI

Bitwise Over-Parameterized Neural Polar Decoding: A Theoretical Performance Analysis

Hongzhi Zhu, Wei Xu, Xiaohu You · 2026

This paper proposes a bitwise over-parameterized neural network (ONN) decoder for polar-coded transmission and develops a tractable theoretical performance analysis framework. By modeling each synthes…

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Computer Science Preprint PDF DOI

Thinking like a business: Reconfiguring relationships to sustain open data infrastructures

Kathleen Gregory, Dorothea Strecker · 2026

Sustaining open data infrastructures over time is a complex puzzle, involving dynamic funding models and relationships with customers, collaborators, and competitors. Despite their importance, these m…

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AI & Data Science Preprint PDF DOI

In-Context Examples Suppress Scientific Knowledge Recall in LLMs

Chaemin Jang, Woojin Park, Hyeok Yun, Dongman Lee, Jihee Kim · 2026

Scientific reasoning rarely stops at what is directly observable; it often requires uncovering hidden structure from data. From estimating reaction constants in chemistry to inferring demand elasticit…

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Physics Preprint PDF DOI

Magnetic Quantum Criticality inside the Superconducting State Revealed by Penetration Depth Scaling with Local $T_{\mathrm c}$

Yusuke Iguchi, Kaede Inoh, Ryosuke Koizumi, Makoto Yokoyama · 2026

We demonstrate a magnetic quantum critical point embedded within the superconducting state of Zn-doped CeCoIn$_5$, revealed by a pronounced peak in the magnetic penetration depth at zero temperature $…

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Physics Preprint PDF DOI

Demonstration of Exponential Quantum Speedup with Constant-Depth Compiled Circuits for Simon's Problem

Phattharaporn Singkanipa, Victor Kasatkin, Daniel A. Lidar · 2026

We demonstrate exponential quantum speedup for a restricted-Hamming-weight version of Simon's problem on present-day superconducting quantum processors by introducing a hardware-aware compilation stra…

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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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AI & Data Science Preprint PDF DOI

Measurement Risk in Supervised Financial NLP: Rubric and Metric Sensitivity on JF-ICR

Sidi Chang, Peiying Zhu, Yuxiao Chen, Rongdong Chai · 2026

As LLMs become credible readers of earnings calls, investor-relations Q\&A, guidance, and disclosure language, supervised financial NLP benchmarks increasingly function as decision evidence for model …

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Computer Science Preprint PDF DOI

A note on the parameter $\ell$ in Buchbinder--Feldman's deterministic submodular matroid algorithm

Shisheng Li · 2026

Buchbinder and Feldman recently gave a deterministic $(1-1/e-\varepsilon)$-approximation for maximizing a non-negative monotone submodular function subject to a matroid constraint, with query complexi…

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Physics Preprint PDF DOI

Propulsion and far-field hydrodynamics of linked-sphere microswimmers with viscoelastic deformability

Vimal Singh, Akash Choudhary · 2026

Viscoelasticity governs the locomotion strategies of deformable microorganisms, rendering it a fundamental mechanical property of microbial motility and an integral component in the design of envision…

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Computer Science Preprint PDF DOI

Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives

Soheil Khodayari, Xuenan Zhang, Bhupendra Acharya, Giancarlo Pellegrino · 2026

As LLMs are increasingly integrated into systems that browse, retrieve, summarize, and act on web content, webpages have become an untrusted input vector for downstream model behavior. This enables si…

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AI & Data Science Preprint PDF DOI

Semantic Structure of Feature Space in Large Language Models

Austin C. Kozlowski, Andrei Boutyline · 2026

We show that the geometric relations between semantic features in large language models' hidden states closely mirror human psychological associations. We construct feature vectors corresponding to 36…

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AI & Data Science Preprint PDF DOI

ConformaDecompose: Explaining Uncertainty via Calibration Localization

Fatima Rabia Yapicioglu, Meltem Aksoy, Alberto Rigenti, Tuwe Lofstrom-Cavallin, Helena Lofstrom-Cavallin, Seyda Yoncaci, Luca Longo · 2026

Conformal Prediction provides distribution-free prediction intervals with guaranteed coverage, but its reliance on a single global calibration threshold obscures the sources of uncertainty at the inst…

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