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Mathematics Preprint PDF DOI

Polynomial Maps with Constants on Matrix Algebra

Prachi Saini, Anupam Singh · 2026

Let $\mathcal A$ be an $\mathbb F$-algebra and $\omega \in \mathcal A\langle x_1, \ldots, x_m \rangle$ which defines a map $\mathcal A^m \rightarrow \mathcal A$ by evaluation, called a polynomial map …

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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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Computer Science Preprint PDF DOI

FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting

Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli, Santhan Reddy Chilla, Vivek Yelleti · 2026

Deep Learning methods are becoming prominent in automated software bug detection; however, they lack the global understanding of the given code. Consequently, their performance tends to degrade, espec…

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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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Computer Science Preprint PDF DOI

Call-Chain-Aware LLM-Based Test Generation for Java Projects

Guancheng Wang, Qinghua Xu, Lionel C. Briand, Zhaoqiang Guo, Kui Liu · 2026

Large language models (LLMs) have recently shown strong potential for generating project-level unit tests. However, existing state-of-the-art approaches primarily rely on execution-path information to…

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Physics Preprint PDF DOI

Sub-GeV dark matter from cosmic ray bremsstrahlung in the atmosphere

Branden Aitken, Peter Reimitz, Adam Ritz · 2026

We explore the sensitivity of neutrino observatories and direct dark matter detection experiments to boosted sub-GeV dark matter produced by inelastic cosmic ray collisions in the atmosphere. We revis…

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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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AI & Data Science Preprint PDF DOI

HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval

Zixu Li, Yupeng Hu, Zhiwei Chen, Shiqi Zhang, Qinlei Huang, Zhiheng Fu, Yinwei Wei · 2026

Composed Image Retrieval (CIR) is a flexible image retrieval paradigm that enables users to accurately locate the target image through a multimodal query composed of a reference image and modification…

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Physics Preprint PDF DOI

AURORA: A High Performance DAQ Framework for Next-Generation Rare-Event Search Experiments

Yihan Guo, Xiaofeng Shang, Chang Cai, Weihao Wu, Xun Chen · 2026

The upcoming PandaX-xT experiment will deploy over 3,000 readout channels operating at a 500 MSa/s sampling rate, generating a sustained data bandwidth up to 1.6 GB/s. To meet this demanding requireme…

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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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Computer Science Preprint PDF DOI

DPC: Training-Free Text-to-SQL Candidate Selection via Dual-Paradigm Consistency

Boyan Li, Ou Ocean Kun Hei, Yue Yu, Yuyu Luo · 2026

While Large Language Models (LLMs) demonstrate impressive proficiency in generating SQL queries, they fundamentally lack the capability to self-evaluate correctness without an execution oracle. This l…

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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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Computer Science Preprint PDF DOI

Optimal Predicate Pushdown Synthesis

Robert Zhang, Eric Hayden Campbell, Dixin Tang, Isil Dillig · 2026

Predicate pushdown is a long-standing performance optimization that filters data as early as possible in a computational workflow. In modern data pipelines, this transformation is especially important…

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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

Pando: Do Interpretability Methods Work When Models Won't Explain Themselves?

Ziqian Zhong, Aashiq Muhamed, Mona T. Diab, Virginia Smith, Aditi Raghunathan · 2026

Mechanistic interpretability is often motivated for alignment auditing, where a model's verbal explanations can be absent, incomplete, or misleading. Yet many evaluations do not control whether black-…

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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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Biology & Life Sciences Preprint PDF DOI

Cluster-First Labelling: An Automated Pipeline for Segmentation and Morphological Clustering in Histology Whole Slide Images

Muhammad Haseeb Ahmad, Sharmila Rajendran, Damion Young, Jon Mason · 2026

Labelling tissue components in histology whole slide images (WSIs) is prohibitively labour-intensive: a single slide may contain tens of thousands of structures--cells, nuclei, and other morphological…

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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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