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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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Computer Science Preprint PDF DOI

NuggetIndex: Governed Atomic Retrieval for Maintainable RAG

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic · 2026

Retrieval-augmented generation (RAG) systems are frequently evaluated via fact-based metrics, yet standard implementations retrieve passages or static propositions. This unit mismatch between evaluati…

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Physics Preprint PDF DOI

On matrix Lax representations for (1+1)-dimensional evolutionary differential-difference equations

Sergei Igonin · 2026

Differential-difference matrix Lax representations (Lax pairs), gauge transformations, and discrete Miura-type transformations (MTs) belong to the main tools in the theory of (nonlinear) integrable di…

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AI & Data Science Preprint PDF DOI

State Beyond Appearance: Diagnosing and Improving State Consistency in Dial-Based Measurement Reading

Yuanze Hu, Gen Li, Yuqin Lan, Qingchen Yu, Zhichao Yang, Junwei Jing, Zhaoxin Fan, Xiaotie Deng · 2026

Multimodal large language models (MLLMs) have achieved impressive progress on general multimodal tasks, yet they remain brittle on dial-based measurement reading. In this paper, we study this problem …

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Mathematics Preprint PDF DOI

State-Dependent Lyapunov Method for Rank-1 Matrix Factorization

Jaehong Moon · 2026

We study gradient descent for rank-1 matrix factorization through a certificate-based viewpoint. The central object is a parameterized quadratic certificate $I(\delta;\,\cdot)$ whose level sets shrink…

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Mathematics Preprint PDF DOI

Arithmetical Structures on Ladder Graphs

Namita Behera, Dilli Ram Chhetri, Raj Bhawan Yadav · 2026

In this paper, we investigate arithmetical structures on Cartesian product graphs, particularly, ladder graph of the form P2\square Pm and grid graph of the form Pn \square Pm. An arithmetical structu…

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AI & Data Science Preprint PDF DOI

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling

Fan Jiang, Yu Zhao, Chenyang Lyu, Tianqi Shi, Yichao Du, Feihu Jiang, Longyue Wang, Weihua Luo · 2026

We present Marco-MoE, a suite of fully open multilingual sparse Mixture-of-Experts (MoE) models. Marco-MoE features a highly sparse design in which only around 5\% of the total parameters are activate…

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Sociology & Anthropology Preprint PDF DOI

Estimating the cascading global impacts of gas disruptions in Qatar

Ritwick Mishra, Diksha Gupta, Achla Marathe, Krista Danielle Yu, Aaron Schroeder, Samarth Swarup, Brian Klahn, Phil Potter, Madhav Marathe, Anil Vullikanti · 2026

This study examines the global impacts of a localized disruption in Qatar's gas sector using a multi-regional input-output framework and scenario-based analysis. While the direct impacts of this disru…

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Mathematics Preprint PDF DOI

The Number of Isomorphism Classes of Beauville Surfaces with Beauville $p$-Group

Sukran Gul · 2026

A Beauville surface is a rigid complex surface of general type, isogenous to a higher product by the free action of a finite group $G$, called a Beauville group. In \cite{GT}, Gonz\'alez-Diez and Torr…

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Economics & Finance Preprint PDF DOI

Beyond De Prado and Cotton: Hierarchical and Iterative Methods for General Mean-Variance Portfolios

Bernd Johannes Wuebben · 2026

Hierarchical Risk Parity (De Pardo) and the Schur-complement generalization of Cotton are among the most widely adopted regularised portfolio construction methods, yet both are signal-blind: they solv…

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Computer Science Preprint PDF DOI

Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval

Kidist Amde Mekonnen, Yongkang Li, Yubao Tang, Simon Lupart, Maarten de Rijke · 2026

Generative retrieval (GR) ranks documents by autoregressively generating document identifiers. Because many GR methods rely on trie-constrained beam search, they are vulnerable to early pruning of rel…

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Computer Science Preprint PDF DOI

A Parametric Memory Head for Continual Generative Retrieval

Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke · 2026

Generative information retrieval (GenIR) consolidates retrieval into a single neural model that decodes document identifiers (docids) directly from queries. While this model-as-index paradigm offers a…

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Computer Science Preprint PDF DOI

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA

Teng Chen, Sheng Xu, Feixiang Guo, Xiaoyu Wang, Qingqing Gu, Hongyan Li, Luo Ji · 2026

Unlike traditional fact-based retrieval, rationale-based retrieval typically necessitates cross-encoding of query-document pairs using large language models, incurring substantial computational costs.…

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Engineering Preprint PDF DOI

A Vehicle Routing Problem for Human-Centered Electric Mobility

Mostafa Emam, Bjorn Martens, Thomas Rottmann, Matthias Gerdts · 2026

In this paper, we present the Electric Mobility Dial-a-Ride Problem (EM-DARP), which extends the Electric Vehicle Dial-a-Ride Problem (EV-DARP) to better accommodate human-focused mobility services. T…

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Mathematics Preprint PDF DOI

Stacking and clearing in graph pebbling

Tamas Csernak, Lajos Soukup · 2026

Suppose that pebbles are distributed on the vertices of a graph G. A pebbling step along an edge uv removes two pebbles from u and places one pebble on v. We introduce two new graph parameters: st…

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Mathematics Preprint PDF DOI

An inductive approach to the Diaz-Park sharpness conjecture

Marco Praderio Bova · 2026

We develop tools which use common fusion systems building techniques in order to compute higher limits over the centric orbit category. We apply these tools in order to study both the Diaz-Park sharpn…

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AI & Data Science Preprint PDF DOI

MARCO: Navigating the Unseen Space of Semantic Correspondence

Claudia Cuttano, Gabriele Trivigno, Carlo Masone, Stefan Roth · 2026

Recent advances in semantic correspondence rely on dual-encoder architectures, combining DINOv2 with diffusion backbones. While accurate, these billion-parameter models generalize poorly beyond traini…

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Mathematics Preprint PDF DOI

Erd\H{o}s's diameter conjecture for separated distances fails in high dimensions

Boon Suan Ho · 2026

Erd\H{o}s asked whether every $n$-point set in Euclidean space whose $\binom{n}{2}$ pairwise distances are mutually at least $1$ apart must have diameter at least $(1+o(1))n^2$. We disprove this state…

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Mathematics Preprint PDF DOI

Diameter bounds for arbitrary finite groups and applications

Sean Eberhard, Elena Maini, Luca Sabatini, Gareth Tracey · 2026

We prove a strong general-purpose bound for the diameter of a finite group depending only on the diameters of its composition factors and the maximal exponent of a normal abelian section. There are a …

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AI & Data Science Preprint PDF DOI

Metric-Aware Principal Component Analysis (MAPCA):A Unified Framework for Scale-Invariant Representation Learning

Michael Leznik · 2026

We introduce Metric-Aware Principal Component Analysis (MAPCA), a unified framework for scale-invariant representation learning based on the generalised eigenproblem max Tr(W^T Sigma W) subject to W^T…

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