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Computer Science Preprint PDF DOI

From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generation

Guang Yang, Xing Hu, Xiang Chen, Xin Xi · 2026

Multimodal large language models (MLLMs) are increasingly used to translate visual artifacts into code, from UI mockups into HTML to scientific plots into Python scripts. A circuit diagram can be view…

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AI & Data Science Preprint PDF DOI

Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition

Gurucharan Srinivas, Joshua Niemeijer, Frank Koster · 2026

Integrating domain knowledge into deep neural networks is a promising way to improve generalization. Existing methods either encode prior knowledge in the loss function or apply post-processing module…

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Engineering Preprint PDF DOI

PALCAS: A Priority-Aware Intelligent Lane Change Advisory System for Autonomous Vehicles using Federated Reinforcement Learning

Yassine Ibork, Nhat Ha Nguyen, Myounggyu Won, Lokesh Das · 2026

We present a priority-aware intelligent lane change advisory system based on multi-agent federated reinforcement learning, namely PALCAS, for autonomous vehicles (AVs). While existing lane-change appr…

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Physics Preprint PDF DOI

Gauging Axionic Symmetries and Dark Matter: In memory of George Lazarides

Claudio Coriano · 2026

These notes are written for a memorial Session dedicated to George Lazarides. They revisit a joint work on the cosmology of a gauged axion and place it in a broader line of ideas connecting anomalous …

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AI & Data Science Preprint PDF DOI

Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver

Joshua Sherwood, Ben Aybar, Benjamin Kaplan · 2026

Forecasting when AI systems will become capable of meaningfully accelerating AI research is a central challenge for AI safety. Existing benchmarks measure broad capability growth, but may not provide …

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AI & Data Science Preprint PDF DOI

Self-Supervised Representation Learning via Hyperspherical Density Shaping

Esteban Rodriguez-Betancourt, Edgar Casasola-Murillo · 2026

Modern self-supervised representation learning methods often relies on empirical heuristics that are not theoretically grounded. In this study we propose HyDeS, a theoretically grounded method based o…

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Physics Preprint PDF DOI

Matched asymptotics of Rayleigh-wave fields near cuspidal ridges and gorges

Oleg Kiselev · 2026

We construct a local matched-asymptotic description of time-harmonic elastic fields generated by Rayleigh waves near cuspidal elements of a traction-free surface. The free surface is represented local…

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AI & Data Science Preprint PDF DOI

Hard to See, Hard to Label: Generative and Symbolic Acquisition for Subtle Visual Phenomena

Renjith Prasad, Rishabh Sharma, Andrew E. Shao, Annmary Justine Koomthanam, Shreyas Kulkarni, Suparna Bhattacharya, Martin Foltin, Amit Sheth, David Orozco, Matthew Quinn, Brian Sammuli · 2026

Subtle visual anomalies such as hairline cracks, sub-millimeter voids, and low-contrast inclusions are structurally atypical yet visually ambiguous, making them both difficult to annotate and easy to …

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Physics Preprint PDF DOI

Superconductivity in bilayer La$_3$Ni$_2$O$_7$: A review focusing on the strong-coupling Hund's rule assisted pairing mechanism

Zhiming Pan, Chen Lu, Fan Yang, Congjun Wu · 2026

Discovery of high-$T_c$ superconductivity (SC) in the bilayer nickelate series La$_3$Ni$_2$O$_7$ have attracted substantial interest, providing a new platform for exploring unconventional SC. Certain …

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Mathematics Preprint PDF DOI

Widely degenerate anisotropic diffusion: local boundedness and semicontinuity

Pasquale Ambrosio, Simone Ciani, Giovanni Cupini · 2026

We investigate the regularity of local weak solutions to evolution equations of the form \[ \partial_{t}u\,=\,\sum_{i=1}^{n}\,\partial_{x_{i}}\left[a_{i}(x,t)\,(\vert\partial_{x_{i}}u\vert-\delta_{i})…

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AI & Data Science Preprint PDF DOI

Structure-Aware Variational Learning of a Class of Generalized Diffusions

Yubin Lu, Xiaofan Li, Chun Liu, Qi Tang, Yiwei Wang · 2026

Learning the underlying potential energy of stochastic gradient systems from partial and noisy observations is a fundamental problem arising in physics, chemistry, and data-driven modeling. Classical …

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AI & Data Science Preprint PDF DOI

AnyRecon: Arbitrary-View 3D Reconstruction with Video Diffusion Model

Yutian Chen, Shi Guo, Renbiao Jin, Tianshuo Yang, Xin Cai, Yawen Luo, Mingxin Yang, Mulin Yu, Linning Xu, Tianfan Xue · 2026

Sparse-view 3D reconstruction is essential for modeling scenes from casual captures, but remain challenging for non-generative reconstruction. Existing diffusion-based approaches mitigates this issues…

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AI & Data Science Preprint PDF DOI

Wan-Image: Pushing the Boundaries of Generative Visual Intelligence

Chaojie Mao, Chen-Wei Xie, Chongyang Zhong, Haoyou Deng, Jiaxing Zhao, Jie Xiao, Jinbo Xing, Jingfeng Zhang, Jingren Zhou, Jingyi Zhang, Jun Dan, Kai Zhu, Kang Zhao, Keyu Yan, Minghui Chen, Pandeng Li, Shuangle Chen, Tong Shen, Yu Liu, Yue Jiang, Yulin Pan, Yuxiang Tuo, Zeyinzi Jiang, Zhen Han, Ang Wang, Bang Zhang, Baole Ai, Bin Wen, Boang Feng, Feiwu Yu, Gang Wang, Haiming Zhao, He Kang, Jianjing Xiang, Jianyuan Zeng, Jinkai Wang, Junjie Zhou, Ke Sun, Linqian Wu, Pei Gong, Pingyu Wu, Ruiwen Wu, Tongtong Su, Wenmeng Zhou, Wenting Shen, Wenyuan Yu, Xianjun Xu, Xiaoming Huang, Xiejie Shen, Xin Xu, Yan Kou, Yangyu Lv, Yifan Zhai, Yitong Huang, Yun Zheng, Yuntao Hong, Zhe Zhang, Zhicheng Zhang · 2026

We present Wan-Image, a unified visual generation system explicitly engineered to paradigm-shift image generation models from casual synthesizers into professional-grade productivity tools. While cont…

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AI & Data Science Preprint PDF DOI

MARCO: Navigating the Unseen Space of Semantic Correspondence

Claudia Cuttano, Gabriele Trivigno, Carlo Masone, Stefan Roth · 2026

Recent advances in semantic correspondence rely on dual-encoder architectures, combining DINOv2 with diffusion backbones. While accurate, these billion-parameter models generalize poorly beyond traini…

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Physics Preprint PDF DOI

Pairing Mechanism in Bilayer Nickelate La$_3$Ni$_2$O$_7$ Superconductors

Xianxin Wu, Tao Xiang, Jiangping Hu · 2026

The recent discovery of superconductivity with $T_c \approx 80$~K in bilayer nickelate La$_3$Ni$_2$O$_7$ provides a new setting in which to test the organizing principles of unconventional high-temper…

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Biology & Life Sciences Preprint PDF DOI

Topological analysis of hemodynamic response to cardiac resynchronization therapy

Aina Ferra Marcus, Carles Casacuberta, Josep Vives, Joan Guich, Gerard Amoros-Figueras, Jose M. Guerra · 2026

Objective: The Mapper algorithm is a qualitative method in topological data analysis that constructs graphs from point clouds by combining dimensionality reduction and clustering techniques. The aim o…

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AI & Data Science Preprint PDF DOI

Lorentz Framework for Semantic Segmentation

Zahid Hasan, Masud Ahmed, Nirmalya Roy · 2026

Semantic segmentation in hyperbolic space enables compact modeling of hierarchical structure while providing inherent uncertainty quantification. Prior approaches predominantly rely on the Poincar\'e …

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Mathematics Preprint PDF DOI

Spectral Kernel Dynamics for Planetary Surface Graphs: Distinction Dynamics and Topological Conservation

Jnaneshwar Das · 2026

The spectral kernel field equation R[k] = T[k] lacks a conservation-law analog. We prove (i) the fixed-point flow is strictly volume-expanding (tr DF > 0), precluding automatic conservation, and (ii) …

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Mathematics Preprint PDF DOI

A fractional De Giorgi isoperimetric type inequality

Matteo Cozzi, Tomas Sanz-Perela · 2026

We establish an isoperimetric type inequality for the level sets of functions in fractional Sobolev spaces. This answers a question posed by the first author in a previous paper. To obtain it, we work…

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Mathematics Preprint PDF DOI

Building homology theories (ala Floer)

John B. Etnyre · 2026

These notes are an expanded version of evening talks at the 2025 Georgia International Topology Conference, and an abbreviated version of talks at Georgia Tech, which were aimed at graduate students. …

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