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Chemistry Preprint PDF DOI

Towards Accelerated SCF Workflows with Equivariant Density-Matrix Learning and Analytic Refinement

Zuriel Y. Yescas-Ramos, Andres Alvarez-Garcia, Huziel E. Sauceda · 2026

We present \textsc{dm-PhiSNet}, a physically constrained \textsc{PhiSNet}-based equivariant model that predicts one-electron reduced density matrices (1-RDMs) directly from molecular geometries in an …

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Physics Preprint PDF DOI

Hybrid hadrons at rest and on the light front

Edward Shuryak, Ismail Zahed · 2026

We present a unified description of heavy hybrid hadrons based on a constituent-gluon picture embedded in the Born-Oppenheimer (BO) framework. In this approach, the gluonic excitation is treated as a …

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Engineering Preprint PDF DOI

Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution

Karol Dobiczek, Maciej Mozolewski, Szymon Bobek, Micha{l} Szafarczyk, Peter van Dam, Grzegorz J. Nalepa · 2026

Deep learning models for 12-lead electrocardiogram (ECG) analysis achieve high diagnostic performance but lack the intuitive interpretability required for clinical integration. Standard feature attrib…

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Engineering Preprint PDF DOI

A Matrix-Free Galerkin Multigrid Solver and Failure-Mode Screen for Single-GPU 3D SIMP Linear Systems

Shaoliang Yang, Jun Wang, Yunsheng Wang · 2026

Large 3D SIMP studies require repeated elasticity solves for density-dependent operators whose finest matrices are expensive to assemble and whose conditioning degrades under high contrast. We study t…

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AI & Data Science Preprint PDF DOI

Structural Generalization on SLOG without Hand-Written Rules

Zichao Wei · 2026

Structural generalization in semantic parsing requires systems to apply learned compositional rules to novel structural combinations. Existing approaches either rely on hand-written algebraic rules (A…

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Computer Science Preprint PDF DOI

At the Edge of the Heart: ULP FPGA-Based CNN for On-Device Cardiac Feature Extraction in Smart Health Sensors for Astronauts

Kazi Mohammad Abidur Rahman, Davis Rakhshan, Philipp Lutke, Laura Harms, Ulf Kulau · 2026

The convergence of accelerating human spaceflight ambitions and critical terrestrial health monitoring demands is driving unprecedented requirements for reliable, real-time feature extraction on extre…

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Computer Science Preprint PDF DOI

A dynamic $(1+\varepsilon)$-spanner for disk intersection graphs

Sarita de Berg, Ivor van der Hoog, Eva Rotenberg, Johanne M. Vistisen, Sampson Wong · 2026

We maintain a $(1+\varepsilon)$-spanner over the disk intersection graph of a dynamic set of disks. We restrict all disks to have their diameter in $[4,\Psi]$ for some fixed and known $\Psi$. The resu…

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Computer Science Preprint PDF DOI

Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models

Nay Myat Min, Long H. Pham, Jun Sun · 2026

Large language models deployed at runtime can misbehave in ways that clean-data validation cannot anticipate: training-time backdoors lie dormant until triggered, jailbreaks subvert safety alignment, …

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Computer Science Preprint PDF DOI

Near-tight Bounds for Computing the Fr\'echet Distance in d-Dimensional Grid Graphs and the Implications for {\lambda}-low Dense Curves

Jacobus Conradi, Ivor van der Hoog, Frederikke Uldahl, Eva Rotenberg · 2026

The Fr\'echet distance is a popular distance measure between trajectories or curves in space, or between walks in graphs. We study computing the Fr\'echet distance between walks in the $d$-dimensional…

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AI & Data Science Preprint PDF DOI

Cardiac Stability Theory: An Axiomatically Grounded Framework for Continuous Cardiac Health Monitoring via Smartphone Photoplethysmography

Timothy Oladunni, Farouk Ganiyu Adewumi · 2026

We present Cardiac Stability Theory (CST), an axiomatically grounded framework formally defining cardiovascular health as a stability margin around a cardiac dynamical attractor. From four axioms we d…

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Computer Science Preprint PDF DOI

S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA

Minghan Li, Junjie Zou, Xinxuan Lv, Chao Zhang, Guodong Zhou · 2026

Retrieval-Augmented Generation (RAG) grounds language models in external evidence, but multi-hop question answering remains difficult because iterative pipelines must control what to retrieve next and…

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AI & Data Science Preprint PDF DOI

Domain-Adapted Fine-Tuning of ECG Foundation Models for Multi-Label Structural Heart Disease Screening

Duc N. Do, Minh N. Do, Dang Nguyen, Khanh T.Q. Le, Khoa D. Pham, Hung N. Huynh, Phi Pham-Van-Hoang, Quan K. Huynh, Ramez M. Odat, Perisa Ashar, Ethan Philip Lowder, Minh H.N. Le, Hoang Le, Phat V.H. Nguyen, Quan Le, Jacques Kpodonu, Phat K. Huynh · 2026

Transthoracic echocardiography is the reference standard for confirming structural heart disease (SHD), but first-line screening is limited by cost, workflow burden, and specialist availability. We ev…

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AI & Data Science Preprint PDF DOI

Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs

Jose Geraldo Fernandes, Luiz Facury, Pedro Robles Dutenhefner, Wagner Meira Jr · 2026

Self-supervised learning in healthcare has largely relied on invariance-based objectives, which maximize similarity between different views of the same patient. While effective for static anatomy, thi…

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Computer Science Preprint PDF DOI

Horizontal SCA Attacks on Binary kP Algorithms using Chevallier-Mames Atomic Blocks

Gerald Isheanesu Matungamire, Alkistis Aikaterini Sigourou, Gerrit Schrock, Zoya Dyka, Peter Langendoerfer, Ievgen Kabin · 2026

Scalar multiplication kP is the operation most frequently targeted in Elliptic Curve (EC) cryptosystems. To protect against single-trace Side-Channel Analysis (SCA) attacks, the atomicity principle an…

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AI & Data Science Preprint PDF DOI

Transferable SCF-Acceleration through Solver-Aligned Initialization Learning

Eike S. Eberhard, Viktor Kotsev, Timm Guthle, Stephan Gunnemann · 2026

Machine learning methods that predict initial guesses from molecular geometry can reduce this cost, but matrix-prediction models fail when extrapolating to larger molecules, degrading rather than acce…

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AI & Data Science Preprint PDF DOI

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction

Changfan Wang, Xinran Wang, Donghai Liu, Fei Su, Lulu Sun, Zhicheng Zhao, Zhu Meng · 2026

Spatial transcriptomics (ST) enables spatially resolved gene profiling but remains expensive and low-throughput, limiting large-cohort studies and routine clinical use. Predicting spatial gene express…

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Computer Science Preprint PDF DOI

Hidden Dependencies and Component Variants in SBOM-Based Software Composition Analysis

Shawn Rasheed, Max McPhee, Lisa Patterson, Stephen MacDonell, Jens Dietrich · 2026

Software Bills of Material (SBOMs) have emerged as an important technology for vulnerability management amid rising supply-chain attacks. They represent component relationships within a software produ…

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Mathematics Preprint PDF DOI

Uniform spectral gap of scl in $2$-orbifolds

Lvzhou Chen, Nicolaus Heuer · 2026

We show a uniform spectral gap of stable commutator length for all compact hyperbolic $2$-orbifolds relative to the peripheral subgroups. Except for the case of a sphere with three cone points, we hav…

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Engineering Preprint PDF DOI

Clinical Evaluation of a Tongue-Controlled Wrist Abduction-Adduction Assistance in a 6-DoF Upper-Limb Exoskeleton for Individuals with ALS and SCI

Juwairiya S. Khan, Mostafa Mohammadi, Alexander L. Ammitzb{o}ll, Ellen-Merete Hagen, Jakob Blicher Izabella Obal, Ana S. S. Cardoso, Oguzhan Kirtas, Rasmus L. K{ae}seler, John Rasmussen, Lotte N.S. Andreasen Struijk · 2026

Upper-limb exoskeletons (ULEs) have the potential to restore functional independence in individuals with severe motor impairments; however, the clinical relevance of wrist degrees of freedom (DoF), pa…

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AI & Data Science Preprint PDF DOI

SCM: Sleep-Consolidated Memory with Algorithmic Forgetting for Large Language Models

Saish Sachin Shinde · 2026

We present SCM (Sleep-Consolidated Memory), a research preview of a memory architecture for large language models that draws on neuroscientific principles to address a fundamental limitation in curren…

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