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SRAN: Scaling Named Data Networking via Map-and-Encap
Named Data Networking (NDN) faces a fundamental scalability challenge: forwarding state grows with an unbounded number of application name prefixes and.
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STeMP: Spatio-Temporal Modelling Protocol
Spatio-temporal machine-learning models are crucial in environmental sciences but highly sensitive to training data characteristics, methodology choices.
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The Independence-Preserving Property and Planar Web Geometry
This paper explores the characterization of probability distributions whose independence is preserved under certain real-analytic planar diffeomorphisms F.
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Towards Generalized Dimers for GTPs: $\mathcal{N}=2$ Fractional Branes at Infinite Coupling
This paper addresses the challenge of generalizing brane tilings (also known as dimer models) beyond the well-studied case of toric Calabi-Yau 3-folds to.
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Understanding Generative AI-mediated User Engagement with Academic Library Resources
This study investigates the emerging role of generative AI platforms as discovery intermediaries for academic library resources, focusing on empirical.
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A Flexible Sparsity-Aware FPGA Accelerator with Column-Wise Compression for Efficient CNN Inference
This paper addresses the challenge of accelerating convolutional neural networks (CNNs) on resource-constrained FPGA platforms in the presence of.
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Agents in the Wild: Where Research Meets Deployment
This tutorial paper discusses the transition of large language model (LLM)-based agentic systems from research prototypes to real-world deployments in.
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AI-Powered Browsers Are Broadly Accurate News Summarizers That Reduce Political Bias and Negative Affect
This study performs the first large-scale, systematic audit of AI-powered news summarization tools integrated into mainstream web browsers, focusing on.
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Appearance Pointers -- Multimodal Region Control of Diffusion Transformers
The paper addresses a key limitation in controllable image generation with diffusion transformers (DiTs): enabling precise, region-aware multimodal.
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Benchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasks
This paper addresses critical shortcomings in financial statement fraud detection (FSFD), specifically the lack of realistic generalization evaluation and.
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Broken Gates: Re-evaluating Web Bot Defenses in the Age of LLM Agents
This paper systematically evaluates the resilience of contemporary web bot defenses against two emerging attacker classes: commercial Captcha-solving.
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Chi-MERA: Defending Orbit-Based Authentication of LEO Satellites with the Space Oddity of MLAT (Long Version)
This paper addresses the security weaknesses of physical layer authentication methods for Low Earth Orbit (LEO) satellite signals, specifically those.