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423

arXiv:2512.15755v1 Announce Type: new
Abstract: Interpreting complex datasets remains a major challenge for scientists, particularly due to high dimensionality and collinearity among variables. We introduce a novel application of Kolmogorov-Arnold Networks (KANs) to enhance interpretability and par…
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345

In a study published in Science Advances on December 19, researchers from Xishuangbanna Tropical Botanical Garden (XTBG) of the Chinese Academy of Sciences, along with collaborators from international institutions, explored the impact of mountain building and climate cooling over 30 million years ac…
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331

arXiv:2512.15956v1 Announce Type: new
Abstract: This paper presents a novel, cost-effective, and scalable approach to track numerous assets distributed in forested environments using commodity Radio Frequency Identification (RFID) targeting wildfire response applications. Commodity RFID systems suf…
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231

arXiv:2512.16768v1 Announce Type: cross
Abstract: We study the implicit bias of flow matching (FM) samplers via the lens of empirical flow matching. Although population FM may produce gradient-field velocities resembling optimal transport (OT), we show that the empirical FM minimizer is almost neve…
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209

arXiv:2511.04399v2 Announce Type: replace-cross
Abstract: Quantum communication protocols can be designed to detect eavesdropping attacks, something that classical technologies are unable to do since classical information can be replicated in a non-destructive manner. Eavesdropping detection is, th…
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219

arXiv:2402.11216v4 Announce Type: replace-cross
Abstract: A common bane of artificial reverberation algorithms is spectral coloration in the synthesized sound, typically manifesting as metallic ringing, leading to a degradation in the perceived sound quality. In delay network methods, coloration is…
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222

arXiv:2512.16644v1 Announce Type: new
Abstract: This research presents the implementation of a Sharia-compliant chatbot as an interactive medium for consulting Islamic questions, leveraging Reinforcement Learning (Q-Learning) integrated with Sentence-Transformers for semantic embedding to ensure co…
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211

arXiv:2512.16912v1 Announce Type: new
Abstract: This paper examines the exploration-exploitation trade-off in reinforcement learning with verifiable rewards (RLVR), a framework for improving the reasoning of Large Language Models (LLMs). Recent studies suggest that RLVR can elicit strong mathematic…
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241

arXiv:2512.15736v1 Announce Type: new
Abstract: We present Anubuddhi, a multi-agent AI system that designs and simulates quantum optics experiments from natural language prompts without requiring specialized programming knowledge. The system composes optical layouts by arranging components from a t…
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211

arXiv:2512.16665v1 Announce Type: new
Abstract: This paper investigates two distinct types of block errors - undetected errors (confusions) and erasures - in additive white Gaussian noise (AWGN) channels with error-bounded block decoders operating in the finite blocklength (FBL) regime. While block…
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220

arXiv:2508.21641v2 Announce Type: replace-cross
Abstract: The growing integration of renewable energy sources into power systems requires planning models to account for not only demand variability but also fluctuations in renewable availability during operational periods. Capturing this temporal de…
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211

arXiv:2512.16683v1 Announce Type: new
Abstract: We describe the Lockchain Protocol, a lightweight Bitcoin meta-protocol that enables highly efficient transaction discovery at zero marginal block space cost, and data verification without introducing any new on-chain storage mechanism. The protocol r…
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210

arXiv:2512.15996v1 Announce Type: new
Abstract: This paper presents a novel Lyapunov-based Adaptive Transformer (LyAT) controller for stochastic nonlinear systems. While transformers have shown promise in various control applications due to sequential modeling through self-attention mechanisms, the…
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210

arXiv:2507.03631v3 Announce Type: replace
Abstract: Discovering governing equations that describe complex chaotic systems remains a fundamental challenge in physics and neuroscience. Here, we introduce the PEM-UDE method, which combines the prediction-error method with universal differential equati…
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