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Computer Science Preprint PDF DOI

NVLLM: A 3D NAND-Centric Architecture Enabling Edge on-Device LLM Inference

Mingbo Hao, Changwei Yan, Haoyu Cui, Zhihao Yan, Yizhi Ding, Zhangrui Qian, Weiwei Shan · 2026

The rapid growth of LLMs demands high-throughput, memory-capacity-intensive inference on resource-constrained edge devices, where single-batch decoding remains fundamentally memory-bound. Existing out…

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Computer Science Preprint PDF DOI

RecFlash: Fast Recommendation System on In-Storage Computing with Frequency-Based Data Mapping

Jangho Baik, Sunghyun Kim, Gisan Ji, Wonbo Shim, Sungju Ryu · 2026

Recommendation system has gained a large popularity for a variety of personalized suggestion tasks, but the ever-increasing number of user data makes real-time processing of recommendation systems dif…

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Mathematics Preprint PDF DOI

Computing the Exchange Number in Graphs with respect to Cycle Convexity

Revathy S. Nair, Bijo S. Anand, Julliano R. Nascimento · 2026

Given a graph $G$, a subset $S \subseteq V(G)$ is \textit{cycle convex}, if for any vertex $v \in V(G) \setminus S$, the induced subgraph, $G[S \cup \{v\}]$ cannot form a cycle containing the vertex $…

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Engineering Preprint PDF DOI

Evaluating the Exp-Minus-Log Sheffer Operator for Battery Characterization

Eymen Ipek · 2026

Odrzywolek (2026) recently introduced the Exp-Minus-Log (EML) operator eml (x, y) = exp(x) - ln(y) and proved constructively that, paired with the constant 1, it generates the entire scientific-calcul…

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Physics Preprint PDF DOI

Recent development in high-precision high-fidelity spectrographs for exoplanet research and characterization

Francois Bouchy, Francesco Pepe, Xavier Dumusque, Tobias Schmidt, Christophe Lovis, Stephane Udry · 2026

High-precision high-fidelity spectrographs are the most powerful instruments for exoplanets detection and characterization. The sub-m/s radial-velocity precision, required to detect Earth-mass exoplan…

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Mathematics Preprint PDF DOI

A new high-order finite-volume advection scheme on spherical Voronoi grids and a comparative study in a mimetic finite-volume moist shallow-water model

Luan F. Santos, Jeferson B. Granjeiro, Pedro S. Peixoto · 2026

Spherical centroidal Voronoi tessellations (SCVTs), currently used in numerical weather forecasting models such as the Model for Prediction Across Scales (MPAS), are a type of spherical grid that is h…

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Engineering Preprint PDF DOI

An Ultra-Low-Power Synthesizable Asynchronous AER Encoder for Neuromorphic Edge Devices

Yihui Wang, Sheng-Yu Peng, Sahil Shah · 2026

This paper presents a fully synthesizable, treebased Address-Event Representation (AER) encoder designed for scalable neuromorphic computing systems. To achieve high throughput while maintaining stric…

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Computer Science Preprint PDF DOI

Subquadratic Counting via Perfect Marginal Sampling

Xiaoyu Chen, Zongchen Chen, Kuikui Liu, Xinyuan Zhang · 2026

We study the computational complexity of approximately computing the partition function of a spin system. Techniques based on standard counting-to-sampling reductions yield $\tilde{O}(n^2)$-time algor…

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AI & Data Science Preprint PDF DOI

An Instance-Centric Panoptic Occupancy Prediction Benchmark for Autonomous Driving

Yi Feng, Junwu E, Zizhan Guo, Yu Ma, Hanli Wang, Rui Fan · 2026

Panoptic occupancy prediction aims to jointly infer voxel-wise semantics and instance identities within a unified 3D scene representation. Nevertheless, progress in this field remains constrained by t…

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Computer Science Preprint PDF DOI

Disguising Topology and Side-Channel Information through Covert Gate- and ML-Enabled IP Camouflaging

Junling Fan, David Koblah, Domenic Forte · 2026

Semiconductor intellectual property (IP) theft incurs hundreds of billions in annual losses, driven by advanced reverse engineering (RE) techniques. Traditional ``cryptic'' IC camouflaging methods typ…

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Computer Science Preprint PDF DOI

AnkleType: A Hands- and Eyes-free Foot-based Text Entry Technique in Virtual Reality

Xiyun Luo, Weirong Luo, Kening Zhu, Taizhou Chen · 2026

Virtual Reality (VR) emphasizes immersive experiences, while text entry often requires hands or visual attention, which may disrupt the interaction flows in VR. We present AnkleType, a hand- and eye-f…

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Computer Science Preprint PDF DOI

Co-Design of Memory-Storage Systems for Workload Awareness with Interpretable Models

Jay Sarkar, Vamsi Pavan Rayaprolu, Abhijeet Bhalerao · 2026

Solid-state storage architectures based on NAND or emerging memory devices (SSD), are fundamentally architected and optimized for both reliability and performance. Achieving these simultaneous goals r…

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Mathematics Preprint PDF DOI

A fixed-point iteration method for the number Pi with arbitrary odd order of convergence based on the sine function

Alois Schiessl · 2026

In this paper, we present a fixed point method for high-precision computation of number $\pi$ based on the sine function. Let $P\in \mathbb{N}$. We define the function: \[ S\left(x\right) =x+\sum_{k=1…

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Physics Preprint PDF DOI

ALD Oxidant as A Tuning Knob for Memory Window Expansion in Ferroelectric FETs for Vertical NAND Applications

Ranie Jeyakumar, Prasanna Venkatesan, Lance Fernandes, Salma Soliman, Priyankka Ravikumar, Taeyoung Song, Chengyang Zhang, Woohyun Hwang, Kwangyou Seo, Suhwan Lim, Wanki Kim, Daewon Ha, Shimeng Yu, Suman Datta, Asif Khan · 2026

Dielectric inserts are widely used to expand the memory window (MW) in ferroelectric FETs (FeFETs) for vertical NAND applications, with prior efforts focused primarily on material selection and stack …

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AI & Data Science Preprint PDF DOI

Physics-informed AI Accelerated Retention Analysis of Ferroelectric Vertical NAND: From Day-Scale TCAD to Second-Scale Surrogate Model

Gyujun Jeong, Sungwon Cho, Minji Shon, Namhoon Kim, Woohyun Hwang, Kwangyou Seo, Suhwan Lim, Wanki Kim, Daewon Ha, Prasanna Venkatesan, Kihang Youn, Ram Cherukuri, Yiyi Wang, Suman Datta, Asif Khan, Shimeng Yu · 2026

Ferroelectric field-effect transistors (FeFET)-based vertical NAND (Fe-VNAND) has emerged as a promising candidate to overcome z-scaling limitations with lower programming voltages. However, the data …

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Physics Preprint PDF DOI

The ESPRESSO Redshift Drift Experiment III -- The Third Epoch of QSO J052915.80-435152.0

Andrea Trost, Catarina M. J. Marques, S. Cristiani, Guido Cupani, Simona Di Stefano, Valentina D'Odorico, Francesco Guarneri, Carlos J. A. P. Martins, Dinko Milakovic, Luca Pasquini, Ricardo Genova Santos, Paolo Molaro, Michael T. Murphy, Nelson J. Nunes, Tobias M. Schmidt, Yann Alibert, Konstantina Boutsia, Giorgio Calderone, J. I. Gonzalez Hernandez, Andrea Grazian, Gaspare Lo Curto, Enric Palle, Francesco Pepe, Matteo Porru, Nuno C. Santos, Alessandro Sozzetti, Alejandro Suarez Mascareno, Maria R. Zapatero Osorio · 2026

The Sandage-Loeb test probes cosmic expansion directly by measuring the redshift drift in quasar absorption features in a model-independent way. In this series of papers, we have launched an observati…

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Computer Science Preprint PDF DOI

HAVEN: High-Bandwidth Flash Augmented Vector Engine for Large-Scale Approximate Nearest-Neighbor Search Acceleration

Po-Kai Hsu, Weihong Xu, Qunyou Liu, Tajana Rosing, Shimeng Yu · 2026

Retrieval-Augmented Generation (RAG) relies on large-scale Approximate Nearest Neighbor Search (ANNS) to retrieve semantically relevant context for large language models. Among ANNS methods, IVF-PQ of…

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Earth & Environmental Sciences Preprint PDF DOI

Probing the Atmospheres of Young Long-Period Sub-Neptune Progenitors with ELT/ANDES

Spandan Dash, Dwaipayan Dubey, Liton Majumdar · 2026

High-resolution cross-correlation spectroscopy (HRCCS) has emerged as a powerful technique for detecting and characterizing exoplanet atmospheres from the ground. While it has been highly successful f…

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AI & Data Science Preprint PDF DOI

Frame2Freq: Spectral Adapters for Fine-Grained Video Understanding

Thinesh Thiyakesan Ponbagavathi, Constantin Seibold, Alina Roitberg · 2026

Adapting image-pretrained backbones to video typically relies on time-domain adapters tuned to a single temporal scale. Our experiments show that these modules pick up static image cues and very fast …

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Mathematics Preprint PDF DOI

Limiting Behavior of Degree-Degree Metrics under Local Convergence in Probability

Andrei-Eugeniu Patularu, Pim van der Hoorn · 2026

This paper investigates the limiting behaviour of degree-degree correlation metrics for sequences of random graphs under a general assumption of local convergence in probability. We establish converge…

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