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Computer Science Preprint PDF DOI

Akita: A High Usability Simulation Framework for Computer Architecture

Sabila Al Jannat, Ying Li, Mengyang He, Xuzhong Wang, Huizhi Zhao, Jingxiang Sun, Daoxuan Xu, Enze Xu, Yifan Sun · 2026

Computer architecture simulation is essential for evaluating new designs without the need for costly tapeout. The community has developed dozens of valuable simulators that have enabled significant ar…

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Computer Science Preprint PDF DOI

From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation

Boyuan Gu, Yijin Yang, Shuaiqi Cheng, Xiaorong Ding · 2026

Cuffless blood pressure (BP) estimation based on Pulse Transit Time (PTT) has emerged as a promising solution for continuous health monitoring. However, conventional models relying on the Moens-Kortew…

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AI & Data Science Preprint PDF DOI

TSN-Affinity: Similarity-Driven Parameter Reuse for Continual Offline Reinforcement Learning

Dominik Zurek, Kamil Faber, Marcin Pietron, Pawe{l} Gajewski, Roberto Corizzo · 2026

Continual offline reinforcement learning (CORL) aims to learn a sequence of tasks from datasets collected over time while preserving performance on previously learned tasks. This setting corresponds t…

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AI & Data Science Preprint PDF DOI

Supernodes and Halos: Loss-Critical Hubs in LLM Feed-Forward Layers

Audrey Cherilyn, Houman Safaai · 2026

We study the organization of channel-level importance in transformer feed-forward networks (FFNs). Using a Fisher-style loss proxy (LP) based on activation-gradient second moments, we show that loss s…

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Mathematics Preprint PDF DOI

A universal non-embedding theorem for 3-manifolds

Giulio Belletti, Renaud Detcherry · 2026

We prove that given two compact oriented $3$-manifolds $N$ and $M,$ with $M$ satisfying only a mild hypothesis, there is a hyperbolic $3$-manifold $N'$ arbitrarily ``closely related'' to $N,$ and such…

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AI & Data Science Preprint PDF DOI

PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving

Yining Pan, Shijie Li, Yuchen Wu, Xulei Yang, Na Zhao · 2026

This paper presents the first study on Unsupervised Domain Adaptation (UDA) for multimodal 3D panoptic segmentation (mm-3DPS), aiming to improve generalization under domain shifts commonly encountered…

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Computer Science Preprint PDF DOI

AIRA: AI-Induced Risk Audit: A Structured Inspection Framework for AI-Generated Code

William M. Parris · 2026

Practitioners have reported a directional pattern in AI-assisted code generation: AI-generated code tends to fail quietly, preserving the appearance of functionality while degrading or concealing guar…

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AI & Data Science Preprint PDF DOI

KIRA: Knowledge-Intensive Image Retrieval and Reasoning Architecture for Specialized Visual Domains

Parthaw Goswami, Jaynto Goswami Deep · 2026

Retrieval augmented generation (RAG) has transformed text based question answering, yet its extension to visual domains remains hindered by fundamental challenges: bridging the modality gap between im…

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Engineering Preprint PDF DOI

Emergency Stopping for Liquid-manipulating Robots

Samuli Hynninen, Ville Kyrki · 2026

Manipulating open liquid containers is challenging because liquids are highly sensitive to vessel accelerations and jerks. Although spill-free liquid manipulation has been widely studied, emergency st…

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AI & Data Science Preprint PDF DOI

Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks

Hyeongmeen Baik, Hamed Poursiami, Maryam Parsa, Jinia Roy · 2026

Always-on converter health monitoring demands sub-mW edge inference, a regime inaccessible to GPU-based physics-informed neural networks. This work separates spiking temporal processing from physics e…

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AI & Data Science Preprint PDF DOI

Jump-Start Reinforcement Learning with Vision-Language-Action Regularization

Angelo Moroncelli, Roberto Zanetti, Marco Maccarini, Loris Roveda · 2026

Reinforcement learning (RL) enables high-frequency, closed-loop control for robotic manipulation, but scaling to long-horizon tasks with sparse or imperfect rewards remains difficult due to inefficien…

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Engineering Preprint PDF DOI

Singularity Avoidance in Inverse Kinematics: A Unified Treatment of Classical and Learning-based Methods

Vishnu Rudrasamudram, Hariharasudan Malaichamee · 2026

Singular configurations cause loss of task-space mobility, unbounded joint velocities, and solver divergence in inverse kinematics (IK) for serial manipulators. No existing survey bridges classical si…

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Engineering Preprint PDF DOI

AffordSim: A Scalable Data Generator and Benchmark for Affordance-Aware Robotic Manipulation

Mingyang Li, Haofan Xu, Haowen Sun, Xinzhe Chen, Sihua Ren, Liqi Huang, Xinyang Sui, Chenyang Miao, Qiongjie Cui, Zeyang Liu, Xingyu Chen, Xuguang Lan · 2026

Simulation-based data generation has become a dominant paradigm for training robotic manipulation policies, yet existing platforms do not incorporate object affordance information into trajectory gene…

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Engineering Preprint PDF DOI

Minimal Embodiment Enables Efficient Learning of Number Concepts in Robot

Zhegong Shangguan, Alessandro Di Nuovo, Angelo Cangelosi · 2026

Robots are increasingly entering human-interactive scenarios that require understanding of quantity. How intelligent systems acquire abstract numerical concepts from sensorimotor experience remains a …

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AI & Data Science Preprint PDF DOI

Panoptic Pairwise Distortion Graph

Muhammad Kamran Janjua, Abdul Wahab, Bahador Rashidi · 2026

In this work, we introduce a new perspective on comparative image assessment by representing an image pair as a structured composition of its regions. In contrast, existing methods focus on whole imag…

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Engineering Preprint PDF DOI

Robust Adaptive Backstepping Impedance Control of Robots in Unknown Environments

Reza Nazmara, Alap Kshirsagar, Jan Peters, A. Pedro Aguiar · 2026

This paper presents a Robust Adaptive Backstepping Impedance Control (RABIC) strategy for robots operating in contact-rich and uncertain environments. The proposed control strategy considers the compl…

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Engineering Preprint PDF DOI

AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules

Xue Qin, Simin Luan, Cong Yang, Zhijun Li · 2026

Robotic systems lack a principled abstraction for organizing intelligence, capabilities, and execution in a unified manner. Existing approaches either couple skills within monolithic architectures or …

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Physics Preprint PDF DOI

Learning to Unscramble Feynman Loop Integrals with SAILIR

David Shih · 2026

Integration-by-parts (IBP) reduction of Feynman integrals to master integrals is a key computational bottleneck in precision calculations in high-energy physics. Traditional approaches based on the La…

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Computer Science Preprint PDF DOI

Query Optimization and Evaluation via Information Theory: A Tutorial

Mahmoud Abo Khamis, Hung Q. Ngo, Dan Suciu · 2026

Database theory is exciting because it studies highly general and practically useful abstractions. Conjunctive query (CQ) evaluation is a prime example: it simultaneously generalizes graph pattern mat…

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Engineering Preprint PDF DOI

frax: Fast Robot Kinematics and Dynamics in JAX

Daniel Morton, Marco Pavone · 2026

In robot control, planning, and learning, there is a need for rigid-body dynamics libraries that are highly performant, easy to use, and compatible with CPUs and accelerators. While existing libraries…

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