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Mathematics Preprint PDF DOI

Beyond Linear Additive and Hill Functions: A General Logistic Reformulation of Delay-Coupled Gene Regulatory Networks with Equilibrium Analysis, Hopf Bifurcation, and Lipschitz Stability

Ismail Belgacem · 2026

Hill functions, dominant in gene regulatory network modeling, carry fundamental limitations: at non-integer cooperativity exponents, routine when fitting dose-response data, derivatives diverge at the…

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Mathematics Preprint PDF DOI

On Arithmetic Mirror Symmetry for smooth Fano fourfolds

Mikhail Ovcharenko · 2026

We introduce an explicit class of tempered Laurent polynomials in the sense of Villegas and Doran--Kerr in $n \leqslant 4$ variables including all Landau--Ginzburg models for smooth Fano threefolds wi…

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AI & Data Science Preprint PDF DOI

DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training

Tianhao Hu, Xiangcheng Liu, Youshao Xiao, Yang Zheng, Xuan Huang, Jinrui Ding, Yufei Zhang, Tao Liang, Hongyu Zang, Quan Chen, Yueqing Sun, Wenjie Shi, Chao Zhang, Wei Wang, Qi Gu, Yerui Sun, Yucheng Xie, Xunliang Cai · 2026

Reinforcement learning (RL) has become a critical paradigm for LLM post-training, yet the rollout phase -- accounting for 50--80% of total step time -- is bottlenecked by skewed generation: long-taile…

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Physics Preprint PDF DOI

Toller matrices and the Feynman $i\varepsilon$ in spinfoams

Eugenio Bianchi, Chaosong Chen, Mauricio Gamonal · 2026

We study the analytic properties and three equivalent representations of the Toller matrices $T^{(\pm)}$ which appear in the causal formulation of spinfoam transition amplitudes for 4d Lorentzian quan…

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AI & Data Science Preprint PDF DOI

ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning

Xianming Li, Zongxi Li, Tsz-fung Andrew Lee, Jing Li, Haoran Xie, Qing Li · 2026

Parameter-efficient fine-tuning (PEFT) reduces the training cost of full-parameter fine-tuning for large language models (LLMs) by training only a small set of task-specific parameters while freezing …

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AI & Data Science Preprint PDF DOI

And Quiet Does Not Flow the Don: Statistical Analysis of a Quarrel Between Nobel Prize Laureates

Nils Lid Hjort · 2026

The Nobel Prize in literature 1965 was awarded Mikhail Sholokhov (1905-1984), for the epic novel Tikhij Don about Cossack life and the birth of a new Soviet society (And Quiet Flows the Don, or The Qu…

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AI & Data Science Preprint PDF DOI

Domain-oriented RAG Assessment (DoRA): Synthetic Benchmarking for RAG-based Question Answering on Defense Documents

Bao Gia Doan, Aditya Joshi, Pantelis Elinas, Aarya Bodhankar, Oscar Leslie, Tom Marchant, Flora Salim · 2026

Open-domain RAG benchmarks over public corpora can overestimate deployment performance due to pretraining overlap and weak attribution requirements. We present DoRA (Domain-oriented RAG Assessment), a…

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AI & Data Science Preprint PDF DOI

DORA Explorer: Improving the Exploration Ability of LLMs Without Training

Priya Gurjar, Md Farhan Ishmam, Kenneth Marino · 2026

Despite the rapid progress, LLMs for sequential decision-making (i.e., LLM agents) still struggle to produce diverse outputs. This leads to insufficient exploration, convergence to sub-optimal solutio…

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Computer Science Preprint PDF DOI

Architectural Implications of the UK Cyber Security and Resilience Bill

Jonathan Shelby · 2026

The UK Cyber Security and Resilience (CS&R) Bill represents the most significant reform of UK cyber legislation since the Network and Information Systems (NIS) Regulations 2018. While existing analysi…

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Computer Science Preprint PDF DOI

Automating Sexual Injustice: Epistemic Injustice in Fembot Design and Feminist Directions for Equitable HRI

Surabhi Bhardwaj · 2026

Current AI-enabled female sex robots, or "fembots," are primarily designed to simulate female sexual responses through a lens of male-centric bias and pornographic stereotypes. This paper analyses fem…

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AI & Data Science Preprint PDF DOI

Scaling DoRA: High-Rank Adaptation via Factored Norms and Fused Kernels

Alexandra Zelenin, Alexandra Zhuravlyova · 2026

Weight-Decomposed Low-Rank Adaptation (DoRA) extends LoRA by decoupling weight magnitude from direction, but its forward pass requires the row-wise norm of W + sBA, a computation that every major fram…

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AI & Data Science Preprint PDF DOI

Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMs

Mariela M. Nina, Caio Veloso Costa, Lilian Berton, Didier A. Vega-Oliveros · 2026

Although large language models have transformed natural language processing, their computational costs create accessibility barriers for low-resource languages such as Brazilian Portuguese. This work …

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AI & Data Science Preprint PDF DOI

Exploring parameter-efficient fine-tuning (PEFT) of billion-parameter vision models with QLoRA and DoRA: insights into generalization for limited-data image classification under a 98:1 test-to-train regime

Haiyu Yang, Sumit Sharma, Enhong Liu, Miel Hostens · 2026

Automated behavior classification is essential for precision livestock farming but faces challenges of high computational costs and limited labeled data. This study systematically compared three appro…

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Computer Science Preprint PDF DOI

The UK Cyber Security and Resilience Bill: A Practitioner's Guide to Legislative Reform, Compliance, and Organisational Readiness

Jonathan Shelby · 2026

The Cyber Security and Resilience (Network and Information Systems) Bill, introduced to Parliament in November 2025, represents the most significant reform of UK cyber security legislation in nearly a…

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Engineering Preprint PDF DOI

VinePT-Map: Pole-Trunk Semantic Mapping for Resilient Autonomous Robotics in Vineyards

Giorgio Audrito, Mauro Martini, Alessandro Navone, Giorgia Galluzzo, Marcello Chiaberge · 2026

Reliable long-term deployment of autonomous robots in agricultural environments remains challenging due to perceptual aliasing, seasonal variability, and the dynamic nature of crop canopies. Vineyards…

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AI & Data Science Preprint PDF DOI

CeRA: Overcoming the Linear Ceiling of Low-Rank Adaptation via Capacity Expansion

Hung-Hsuan Chen · 2026

Low-Rank Adaptation (LoRA) dominates parameter-efficient fine-tuning (PEFT). However, it faces a ``linear ceiling'': increasing the rank yields diminishing returns in expressive capacity due to intrin…

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Computer Science Preprint PDF DOI

From Ad-Hoc Scripts to Orchestrated Pipelines: Architecting a Resilient ELT Framework for Developer Productivity Metrics

Yuvraj Agrawal, Pallav Jain · 2026

Developer Productivity Dashboards are essential for visualizing DevOps performance metrics such as Deployment Frequency and Change Failure Rate (DORA). However, the utility of these dashboards is freq…

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AI & Data Science Preprint PDF DOI

ID-LoRA: Efficient Low-Rank Adaptation Inspired by Matrix Interpolative Decomposition

Xindian Ma, Rundong Kong, Peng Zhang, Ruoxiang Huang, Yongyu Jiang · 2026

LoRA has become a universal Parameter-Efficient Fine-Tuning (PEFT) technique that equips Large Language Models (LLMs) to adapt quickly to new tasks. However, when these models are scaled up, even the …

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Computer Science Preprint PDF DOI

Hagenberg Risk Management Process (Part 2): From Context-Sensitive Triage to Case Analysis With Bowtie and Bayesian Networks

Eckehard Hermann, Harald Lampesberger · 2026

Risk matrices (heatmaps) are widely used for information and cyber risk management and decision-making, yet they are often too coarse for today's resilience-driven organizational and system landscapes…

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AI & Data Science Preprint PDF DOI

Retrieval Augmented Enhanced Dual Co-Attention Framework for Target Aware Multimodal Bengali Hateful Meme Detection

Raihan Tanvir, Md. Golam Rabiul Alam · 2026

Hateful content on social media increasingly appears as multimodal memes that combine images and text to convey harmful narratives. In low-resource languages such as Bengali, automated detection remai…

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