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Computer Science Preprint PDF DOI

Line Segment Clipping using Quadrilateral Concavity and Convexity

Bimal Kumar Ray · 2026

This paper proposes an algorithm for clipping line segment against an axis-aligned rectangular window. The conventional algorithms for line segment clipping treat the clipping boundary and/or the line…

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AI & Data Science Preprint PDF DOI

Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor

Petter Tornberg, Michelle Schimmel · 2026

Large language models (LLMs) are commonly evaluated for political bias based on their responses to fixed questionnaires, which typically place frontier models on the political left. A parallel literat…

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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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Mathematics Preprint PDF DOI

Hamilton decompositions of the directed 5-torus for odd modulus

SangHyun Park · 2026

We prove that the directed five-dimensional torus $D_5(m) = \operatorname{Cay}((\mathbb{Z}_m)^5, \{e_0, e_1, e_2, e_3, e_4\})$ has a Hamilton decomposition for every odd integer $m \geq 3$. This is th…

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AI & Data Science Preprint PDF DOI

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations

Bochao Liu, Zhipeng Qian, Yang Zhao, Xinyuan Jiang, Zihan Liang, Yufei Ma, Junpeng Zhuang, Ben Chen, Shuo Yang, Hongen Wan, Yao Wu, Chenyi Lei, Xiao Liang · 2026

Operating and maintaining (O&M) large-scale online engine systems (search, recommendation, advertising) demands substantial human effort for release monitoring, alert response, and root cause analysis…

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Mathematics Preprint PDF DOI

Families of Unit Equations and Exponential Diophantine Problems via Integral Points

Julie Tzu-Yueh Wang, Zheng Xiao · 2026

This paper investigates the distribution of integral points on projective varieties via two distinct methods: the Ru-Vojta theorem and our higher-dimensional generalization of the Huang-Levin-Xiao ine…

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Computer Science Preprint PDF DOI

Prime-Field PINI: Machine-Checked Composition Theorems for Post-Quantum NTT Masking

Ray Iskander, Khaled Kirah · 2026

This is Paper 6 of a series of formally-verified analyses of masked NTT hardware for post-quantum cryptography; Paper 1 [1] established structural dependency analysis of the QANARY platform, and Paper…

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AI & Data Science Preprint PDF DOI

One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement

Yixiao Zhou, Dongzhou Cheng, zhiliang wu, Yi Yang, Yu Cheng, Hehe Fan · 2026

Large Language Models (LLMs) often fail to utilize their latent reasoning capabilities due to a distributional mismatch between ambiguous human inquiries and the structured logic required for machine …

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AI & Data Science Preprint PDF DOI

JURY-RL: Votes Propose, Proofs Dispose for Label-Free RLVR

Xinjie Chen, Biao Fu, Jing Wu, Guoxin Chen, Xinggao Liu, Dayiheng Liu, Minpeng Liao · 2026

Reinforcement learning with verifiable rewards (RLVR) enhances the reasoning of large language models (LLMs), but standard RLVR often depends on human-annotated answers or carefully curated reward spe…

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Mathematics Preprint PDF DOI

Chebyshev quotients, Demazure multiplicities, and Dyck-path models

Rekha Biswal, Ken Ono, Jujian Zhang · 2026

We study Chebyshev quotients that arise in the representation theory of Lie algebras, specifically within the theory of Demazure flags for fusion products of $\mathfrak{sl}_2[t]$-modules. Motivated by…

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Physics Preprint PDF DOI

Coherent Rollout Oracles for Finite-Horizon Sequential Decision Problems

Nishant Shukla · 2026

Coherent quantum rollout for sequential decision problems requires a unitary simulator: randomness must live in explicit quantum registers, and basis-state selectors must be mapped to actions reversib…

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AI & Data Science Preprint PDF DOI

Null Measurability at the Symmetrization Interface in VC Learning

Dhruv Gupta · 2026

Recent work revisiting measurability in the fundamental theorem of statistical learning imposes Borel measurability of ghost-gap suprema. We show that, at the one-sided ghost-gap interface actually us…

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Mathematics Preprint PDF DOI

A determinant identity for the sum of contour integral matrices

Zhipeng Liu, Tejaswi Tripathi · 2026

We derive an identity for the determinant of the sum of two $n\times n$ matrices, $A$ and $B$, whose entries are defined via contour integrals. Specifically, we consider $A(i,j)=\frac{1}{2\pi\mathrm{i…

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Computer Science Preprint PDF DOI

Machine-Checked Cardinality Bounds for Masked Barrett Reduction: A 1-Bit Side-Channel Leakage Barrier in Post-Quantum Cryptographic Hardware

Ray Iskander, Khaled Kirah · 2026

Barrett reduction is the nonlinear core of every practical NTT-based post-quantum cryptography implementation. Existing composition frameworks (ISW, t-SNI, PINI, DOM) address Boolean masking over GF(2…

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Computer Science Preprint PDF DOI

ZFLean: a framework for set-level mathematics in Lean

Vincent Trelat · 2026

We present ZFLean, a Lean 4 library for doing core mathematics inside a model of ZFC with the ergonomics expected of typed Mathlib developments. Building on Mathlib's ZFC model, we contribute a relati…

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Computer Science Preprint PDF DOI

The Network Structure of Mathlib

Xinze Li, Nanyun Peng, Simone Severini, Patrick Shafto · 2026

The ongoing development of Lean 4's Mathlib has produced a macroscopic structural complexity that interweaves logical, mathematical, and infrastructural dependencies. We present a network analysis of …

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AI & Data Science Preprint PDF DOI

Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs

Jonathan Hoss, Moritz Link, Noah Klarmann · 2026

Efficiently solving the Job Shop Scheduling Problem in real-world industrial applications requires policies that are both computationally lean and topologically robust. While Reinforcement Learning ha…

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AI & Data Science Preprint PDF DOI

Resource-Lean Lexicon Induction for German Dialects

Robert Litschko, Barbara Plank, Diego Frassinelli · 2026

Automatic induction of high-quality dictionaries is essential for building lexical resources, yet low-resource languages and dialects pose several challenges: limited access to annotators, high degree…

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AI & Data Science Preprint PDF DOI

OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving

Chenyi Li, Yanchen Nie, Zhenyu Ming, Gong Zhang, Kun Yuan, Zaiwen Wen · 2026

Recent advances in formal theorem proving have focused on Olympiad-level mathematics, leaving undergraduate domains largely unexplored. Optimization, fundamental to machine learning, operations resear…

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AI & Data Science Preprint PDF DOI

Benchmarking Testing in Automated Theorem Proving

Jongyoon Kim, Hojae Han, Seung-won Hwang · 2026

Recent advances in large language models (LLMs) have shown promise in formal theorem proving, yet evaluating semantic correctness remains challenging. Existing evaluations rely on indirect proxies suc…

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