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AI & Data Science Preprint PDF DOI

Ease of dependency distance minimization in star-like structures

Emilia Garcia-Casademont, Ramon Ferrer-i-Cancho · 2026

The syntactic structure of a sentence can be represented as a tree where edges indicate syntactic dependencies between words. When that structure is a star, it has been demonstrated that the head shou…

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Physics Preprint PDF DOI

Couch-Torrence conformal inversion, supersymmetry and conserved charges for D3-branes

Mohammad Akhond, Massimo Bianchi, Antonio Cristofaro, Fabio Riccioni · 2026

An asymptotically flat spacetime in $D=4$ can be mapped via Couch-Torrence conformal inversion to the geometry around an extremal non-expanding and non-rotating horizon. At the linearized level, an in…

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AI & Data Science Preprint PDF DOI

Skills-Coach: A Self-Evolving Skill Optimizer via Training-Free GRPO

Yu Tian, Jiawei Chen, Lifan Zheng, Mingxiang Tao, Xinyi Zeng, Zhaoxia Yin, Hang Su, Xian Sun · 2026

We introduce Skills-Coach, a novel automated framework designed to significantly enhance the self-evolution of skills within Large Language Model (LLM)-based agents. Addressing the current fragmentati…

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AI & Data Science Preprint PDF DOI

Correcting Performance Estimation Bias in Imbalanced Classification with Minority Subconcepts

Taylor Maxson, Roberto Corizzo, Yaning Wu, Nathalie Japkowicz, Colin Bellinger · 2026

Class-level evaluation can conceal substantial performance disparities across subconcepts within the same class, causing models that perform well on average to fail on specific subpopulations. Prior w…

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Computer Science Preprint PDF DOI

From Coalgebraic Determinization to Belief Construction for Partial Observability

Mayuko Kori, Kazuki Watanabe · 2026

The belief construction is a fundamental technique for transforming partially observable systems to fully observable ones while preserving the relevant semantics. It plays a central role in the analys…

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AI & Data Science Preprint PDF DOI

On-Device Vision Training, Deployment, and Inference on a Thumb-Sized Microcontroller

Jeremy Ellis · 2026

This paper presents a complete, end-to-end on-device vision machine learning pipeline, comprising data acquisition, two-layer CNN training with Adam optimization, and real-time inference, executing en…

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Computer Science Preprint PDF DOI

Risk Models as Mediating Artifacts: A Postphenomenological Analysis of the CIIM Framework in Cybersecurity Practice

Rommel Salas-Guerra · 2026

This article applies postphenomenological theory to the field of cybersecurity risk management, arguing that formal risk models function as mediating artifacts that shape how security practitioners or…

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Computer Science Preprint PDF DOI

Adversarial Robustness of Near-Field Millimeter-Wave Imaging under Waveform-Domain Attacks

Lhamo Dorje, Jordan Madden, Soamar Homsi, Xiaohua Li · 2026

Near-field millimeter-wave (mmWave) imaging is widely deployed in safety-critical applications such as airport passenger screening, yet its own security remains largely unexplored. This paper presents…

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AI & Data Science Preprint PDF DOI

What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Review

Ming Jin · 2026

Evaluating AI-generated reviews by verdict agreement is widely recognized as insufficient, yet current alternatives rarely audit which concerns a system identifies, how it prioritizes them, or whether…

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AI & Data Science Preprint PDF DOI

An Integrated Deep-Learning Framework for Peptide-Protein Interaction Prediction and Target-Conditioned Peptide Generation with ConGA-PepPI and TC-PepGen

Chupei Tang, Junxiao Kong, Moyu Tang, Di Wang, Jixiu Zhai, Ronghao Xie, Shangkun Sima, Tianchi Lu · 2026

Motivation: Peptide-protein interactions (PepPIs) are central to cellular regulation and peptide therapeutics, but experimental characterization remains too slow for large-scale screening. Existing me…

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Mathematics Preprint PDF DOI

Families of symplectic Galois representations over small parabolic eigenvarieties for Siegel cuspforms of genus $2$

Muhammad Manji, Frederick E. Th{o}gersen, Ju-Feng Wu · 2026

We construct small parabolic eigenvarieties for holomorphic Siegel cuspforms of genus $2$ and study families of Galois representations attached to them in the spirit of Bella\"iche--Chenevier. In the …

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AI & Data Science Preprint PDF DOI

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies

Myke C. Cohen, Mingqian Zheng, Neel Bhandari, Hsien-Te Kao, Xuhui Zhou, Daniel Nguyen, Laura Cassani, Maarten Sap, Svitlana Volkova · 2026

AI design characteristics and human personality traits each impact the quality and outcomes of human-AI interactions. However, their relative and joint impacts are underexplored in imperfectly coopera…

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AI & Data Science Preprint PDF DOI

The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning

Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke, Martin McKee · 2026

Large language models are increasingly integrated into decision-making in areas such as healthcare, law, finance, engineering, and government. Yet they share a critical limitation: they produce fluent…

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Physics Preprint PDF DOI

Persephone's Torch: A 15th Magnitude Quadruply-Lensed Quasar From the Couch Discovered with SPHEREx and the LBT

Frederick B. Davies, Eduardo Banados, Sarah E. I. Bosman, Arpita Ganguly, Silvia Belladitta, Jennifer Power, Jon Rees · 2026

Here we report the spectroscopic and geometric confirmation of an extremely bright ($i=14.77$) and compact (Einstein radius of $\sim0.45''$) quadruply-lensed quasar at $z=2.22$, J1330$-$0905, which we…

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AI & Data Science Preprint PDF DOI

AISafetyBenchExplorer: A Metric-Aware Catalogue of AI Safety Benchmarks Reveals Fragmented Measurement and Weak Benchmark Governance

Abiodun A. Solanke · 2026

The rapid expansion of large language model (LLM) safety evaluation has produced a substantial benchmark ecosystem, but not a correspondingly coherent measurement ecosystem. We present AISafetyBenchEx…

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AI & Data Science Preprint PDF DOI

Agentic Driving Coach: Robustness and Determinism of Agentic AI-Powered Human-in-the-Loop Cyber-Physical Systems

Deeksha Prahlad, Daniel Fan, Hokeun Kim · 2026

Foundation models, including large language models (LLMs), are increasingly used for human-in-the-loop (HITL) cyber-physical systems (CPS) because foundation model-based AI agents can potentially inte…

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AI & Data Science Preprint PDF DOI

Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series

Krzysztof Ociepa, {L}ukasz Flis, Remigiusz Kinas, Krzysztof Wrobel, Adrian Gwozdziej · 2026

The development of the Bielik v3 PL series, encompassing both the 7B and 11B parameter variants, represents a significant milestone in the field of language-specific large language model (LLM) optimiz…

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Computer Science Preprint PDF DOI

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation

Li Hu, Xiuwei Shang, Jieke Shi, Shaoyin Cheng, Junqi Zhang, Gangyang Li, Zhou Yang, Weiming Zhang, David Lo · 2026

Deobfuscating binary code remains a fundamental challenge in reverse engineering, as obfuscation is widely used to hinder analysis and conceal program logic. Although large language models (LLMs) have…

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Mathematics Preprint PDF DOI

A systematic way of analysing proofs in probability theory

Morenikeji Neri, Paulo Oliva, Nicholas Pischke · 2026

Over extended systems of finite type arithmetic, we utilize a formal representation of the outer measure to define a translation which allows for the systematic formalization of probabilistic statemen…

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AI & Data Science Preprint PDF DOI

Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions

Guo Gan, Yuxuan Ding, Cong Chen, Yuwei Ren, Yin Huang, Hong Zhou · 2026

Online reinforcement learning (RL) serves as an effective method for enhancing the capabilities of Android agents. However, guiding agents to learn through online interaction is prohibitively expensiv…

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