Tootfinder

News aus Ho-Chi-Minh-Stadt: https://www.vietnam.vn/de/tphcm-kien-nghi-chuan-hoa-du-lieu-so-nha-gan-lien-voi-du-lieu-dat-dai

Ho-Chi-Minh-Stadt schlägt die Standardisierung von Hausnummerndaten in Verbindung mit Grundstücksdaten vor.
Das Bauamt von Ho-Chi-Minh-Stadt hat soeben ein Dokument an das Volkskomitee von Ho-Chi-Minh-Stadt geschickt, in dem es um die Überprüfung und Standardisierung der Hausnummerndaten nach deren Zuordnung zu Grundstücksdaten, Parzellenkoordinaten, Routen und Postleitzahlen geht.

Series A, Episode 03 - Cygnus Alpha
[They run out door. Gan slams it shut and holds it]
BLAKE: Gan, can you hold them?
GAN: As long as the door doesn't break.
VILA: Did you see? They killed Arco.
https://blake.torpidity.net/m/103/541 B7B5

Judge scolds Justice Department for 'profound investigative missteps' in Comey case (Eric Tucker/Associated Press)
https://apnews.com/article/comey-halligan-justice-department-d663148e16d042087210d4d266ea10ae
http://www.memeorandum.com/251117/p100#a251117p100

Love this shot… @… https://mastodon.social/@livelakemichigan/115737534613231556

Lake Michigan! Live! (@livelakemichigan@mastodon.social)
Attached: 1 image Current* conditions near Ludington, MI:

Series A, Episode 12 - Deliverance
AVON: It could carry dormant cells.
GAN: Genetic banks and brood units. Like those in the projectile we took on board the Liberator?
AVON: The same principle, yes. These seem to be a little more advanced, though.
https://blake.torpidity.net/m/112/354

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents
Zonghao Ying, Yangguang Shao, Jianle Gan, Gan Xu, Junjie Shen, Wenxin Zhang, Quanchen Zou, Junzheng Shi, Zhenfei Yin, Mingchuan Zhang, Aishan Liu, Xianglong Liu
https://arxiv.org/abs/2510.10073

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents
Large vision-language model (LVLM)-based web agents are emerging as powerful tools for automating complex online tasks. However, when deployed in real-world environments, they face serious security risks, motivating the design of security evaluation benchmarks. Existing benchmarks provide only partial coverage, typically restricted to narrow scenarios such as user-level prompt manipulation, and thus fail to capture the broad range of agent vulnerabilities. To address this gap, we present \tool{…

Series A, Episode 08 - Duel
BLAKE: Vila, try and stay alert.
VILA: Of course I will, how can you doubt me?
BLAKE: It isn't easy, but somehow I manage it. Come on. Put us down. [Blake, Jenna and Gan teleport to the planet's surface and look around]
https://blake.torpidity.net/m/108/59…

MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science
Junkai Zhang, Jingru Gan, Xiaoxuan Wang, Zian Jia, Changquan Gu, Jianpeng Chen, Yanqiao Zhu, Mingyu Derek Ma, Dawei Zhou, Ling Li, Wei Wang
https://arxiv.org/abs/2510.12171

MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science
Large Language Models (LLMs) have demonstrated remarkable abilities in scientific reasoning, yet their reasoning capabilities in materials science remain underexplored. To fill this gap, we introduce MatSciBench, a comprehensive college-level benchmark comprising 1,340 problems that span the essential subdisciplines of materials science. MatSciBench features a structured and fine-grained taxonomy that categorizes materials science questions into 6 primary fields and 31 sub-fields, and includes …

DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Kartik Narayan, Yang Xu, Tian Cao, Kavya Nerella, Vishal M. Patel, Navid Shiee, Peter Grasch, Chao Jia, Yinfei Yang, Zhe Gan
https://arxiv.org/abs/2510.12801

DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Multimodal Large Language Models (MLLMs) in real-world applications require access to external knowledge sources and must remain responsive to the dynamic and ever-changing real-world information in order to address information-seeking and knowledge-intensive user queries. Existing approaches, such as retrieval augmented generation (RAG) methods, search agents, and search equipped MLLMs, often suffer from rigid pipelines, excessive search calls, and poorly constructed search queries, which resu…

Passivation-Free Ga-Polar AlGaN/GaN Recessed-Gate HEMTs on Sapphire with 2.8 W/mm POUT and 26.8% PAE at 94 GHz
Ruixin Bai, Swarnav Mukhopadhyay, Michael Elliott, Ryan Gilbert, Jiahao Chen, Rafael A. Choudhury, Kyudong Kim, Yu-Chun Wang, Ahmad E. Islam, Andrew J. Green, Shubhra S. Pasayat, Chirag Gupta
https://arxiv.org/abs/2510.08933

Passivation-Free Ga-Polar AlGaN/GaN Recessed-Gate HEMTs on Sapphire with 2.8 W/mm POUT and 26.8% PAE at 94 GHz
In this work, we demonstrate a passivation-free Ga-polar recessed-gate AlGaN/GaN HEMT on a sapphire substrate for W-band operation, featuring a 5.5 nm Al0.35Ga0.65N barrier under the gate and a 31 nm Al0.35Ga0.65N barrier in the gate access regions. The device achieves a drain current density of 1.8 A/mm, a peak transconductance of 750 mS/mm, and low gate leakage with a high on/off ratio of 10^7. Small-signal characterization reveals a current-gain cutoff frequency of 127 GHz and a maximum osci…

wikipedia_link: Wikipedia links (2016)
Networks of hyperlinks among articles on Wikipedia, for all available languages. A directed edge (i,j) indicates that article i hyperlinks to j.
This network has 9189 nodes and 176051 edges.
Tags: Informational, Web graph, Unweighted
https://networks.skewed.de/net…

A Closed-form Expression of the Gaussian Noise Model Supporting O-Band Transmission
Zelin Gan, Henrique Buglia, Romulo Aparecido, Mindaugas Jarmolovi\v{c}ius, Eric Sillekens, Jiaqian Yang, Ronit Sohanpal, Robert I. Killey, Polina Bayvel
https://arxiv.org/abs/2510.11867

A Closed-form Expression of the Gaussian Noise Model Supporting O-Band Transmission
We present a novel closed-form model for nonlinear interference (NLI) estimation in low-dispersion O-band transmission systems. The formulation incorporates the four-wave mixing (FWM) efficiency term as well as the coherent contributions of self- and cross-phase modulation (SPM/XPM) across multiple identical spans. This extension enables accurate evaluation of the NLI in scenarios where conventional closed-form Gaussian Noise (GN) models are limited. The proposed model is validated against spli…

Efficient Mining of Low-Utility Sequential Patterns
Jian Zhu, Zhidong Lin, Wensheng Gan, Ruichu Cai, Zhifeng Hao, Philip S. Yu
https://arxiv.org/abs/2510.10243 https://

Efficient Mining of Low-Utility Sequential Patterns
Discovering valuable insights from rich data is a crucial task for exploratory data analysis. Sequential pattern mining (SPM) has found widespread applications across various domains. In recent years, low-utility sequential pattern mining (LUSPM) has shown strong potential in applications such as intrusion detection and genomic sequence analysis. However, existing research in utility-based SPM focuses on high-utility sequential patterns, and the definitions and strategies used in high-utility S…

On the Origin of Carrier Loss in Mg-Doped N-Polar GaN
Masahiro Kamiyama, Shashwat Rathkanthiwar, Cristyan Qui\~nones-Garc\'ia, Seiji Mita, Dolar Khachariya, Pramod Reddy, Ronny Kirste, Ram\'on Collazo, Zlatko Sitar
https://arxiv.org/abs/2510.04381

On the Origin of Carrier Loss in Mg-Doped N-Polar GaN
The neutral $(V_N-3Mg_{Ga})^0$ complex was found to be the primary compensator in Mg-doped, N-polar GaN. The experimental data showed a sharp drop in hole concentration once [Mg] exceeded ~$10^{19} cm^{-3}$. Temperature-dependent Hall measurements, in conjunction with a charge balance model, revealed that the carrier loss was due to a drastic reduction in acceptor concentration ($N_A$), suggesting that a significant fraction of Mg atoms incorporated in an electrically neutral configuration. A q…

The evolution of CH in Planck Galactic Cold Clumps
Gan Luo, Arshia M. Jacob, Marco Padovani, Daniele Galli, Ana L\'opez-Sepulcre, Ningyu Tang, Di Li, Jing Zhou, Pei Zuo
https://arxiv.org/abs/2510.11146

The evolution of CH in Planck Galactic Cold Clumps
Methylidyne (CH) has long been considered a reliable tracer of molecular gas in the low-to-intermediate extinction range. Although extended CH 3.3 GHz emission is commonly observed in diffuse and translucent clouds, observations in cold, dense clumps are rare. In this work, we conducted high-sensitivity CH observations toward 27 PGCCs with the Arecibo 305m telescope. Toward each source, the CH data were analyzed in conjunction with $^{13}$CO (1--0), HINSA, and H$_2$ column densities. Our result…

Series B, Episode 02 - Shadow
AVON: Obviously.
HANNA: That's why we haven't been killed yet. He's making an example of us.
BEK: Oh, shut up Hanna, Its none of their business.
GAN: Isn't it? I mean if they're making an example of you...
https://blake.torpidity.net/m/202/220

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
https://arxiv.org/abs/2510.08935

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
Retrieval-Augmented Generation (RAG) critically depends on effective query expansion to retrieve relevant information. However, existing expansion methods adopt uniform strategies that overlook user-specific semantics, ignoring individual expression styles, preferences, and historical context. In practice, identical queries in text can express vastly different intentions across users. This representational rigidity limits the ability of current RAG systems to generalize effectively in personali…

GraphTracer: Graph-Guided Failure Tracing in LLM Agents for Robust Multi-Turn Deep Search
Heng Zhang, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Yilei Yuan, Jin Huang
https://arxiv.org/abs/2510.10581

GraphTracer: Graph-Guided Failure Tracing in LLM Agents for Robust Multi-Turn Deep Search
Multi-agent systems powered by Large Language Models excel at complex tasks through coordinated collaboration, yet they face high failure rates in multi-turn deep search scenarios. Existing temporal attribution methods struggle to accurately diagnose root causes, particularly when errors propagate across multiple agents. Attempts to automate failure attribution by analyzing action sequences remain ineffective due to their inability to account for information dependencies that span agents. This …

HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication
Heng Zhang, Yuling Shi, Xiaodong Gu, Zijian Zhang, Haochen You, Lubin Gan, Yilei Yuan, Jin Huang
https://arxiv.org/abs/2510.10611

HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication
Recent advances in large language model-powered multi-agent systems have demonstrated remarkable collective intelligence through effective communication. However, existing approaches face two primary challenges: (i) \textit{Ineffective group collaboration modeling}, as they rely on pairwise edge representations in graph structures, limiting their ability to capture relationships among multiple agents; and (ii) \textit{Limited task-adaptiveness in communication topology design}, leading to exces…

QWD-GAN: Quality-aware Wavelet-driven GAN for Unsupervised Medical Microscopy Images Denoising
Qijun Yang, Yating Huang, Lintao Xiang, Hujun Yin
https://arxiv.org/abs/2509.15814

QWD-GAN: Quality-aware Wavelet-driven GAN for Unsupervised Medical Microscopy Images Denoising
Image denoising plays a critical role in biomedical and microscopy imaging, especially when acquiring wide-field fluorescence-stained images. This task faces challenges in multiple fronts, including limitations in image acquisition conditions, complex noise types, algorithm adaptability, and clinical application demands. Although many deep learning-based denoising techniques have demonstrated promising results, further improvements are needed in preserving image details, enhancing algorithmic e…

Crosslisted article(s) found for cs.MM. https://arxiv.org/list/cs.MM/new
[1/1]:
- Reinforcement Learning-Driven Edge Management for Reliable Multi-view 3D Reconstruction
Motahare Mounesan, Sourya Saha, Houchao Gan, Md. Nurul Absur, Saptarshi Debroy

Central values of Asai L-functions and twisted Gan--Gross--Prasad conjecture: relative trace formulas
Weixiao Lu, Danielle Wang, Zhiyu Zhang
https://arxiv.org/abs/2509.16356 htt…

Central values of Asai L-functions and twisted Gan--Gross--Prasad conjecture: relative trace formulas
We study certain new relative trace formulas on (non-reductive) period integrals involving Weil representations, in the context of the relative Langlands program. We study normal representatives using Galois theory, and establish geometric decompositions of relative trace formulas using normal representatives for good test functions. By comparing global representatives, local distributions and orbital integrals, we prove the twisted Gan--Gross--Prasad (GGP) conjecture on Asai L-functions, in an…

NGGAN: Noise Generation GAN Based on the Practical Measurement Dataset for Narrowband Powerline Communications
Ying-Ren Chien, Po-Heng Chou, You-Jie Peng, Chun-Yuan Huang, Hen-Wai Tsao, Yu Tsao
https://arxiv.org/abs/2510.01850

NGGAN: Noise Generation GAN Based on the Practical Measurement Dataset for Narrowband Powerline Communications
Capturing comprehensive statistics of nonperiodic asynchronous impulsive noise is a critical issue in enhancing impulse noise processing for narrowband powerline communication (NB-PLC) transceivers. However, existing mathematical noise generative models capture only some of the characteristics of additive noise. Therefore, we propose a generative adversarial network (GAN), called the noise-generation GAN (NGGAN), that learns the complicated characteristics of practically measured noise samples …

Targeted Sequential Pattern Mining with High Average Utility
Kai Cao, Yucong Duan, Wensheng Gan
https://arxiv.org/abs/2510.10115 https://arxiv.org/pdf/2510…

Targeted Sequential Pattern Mining with High Average Utility
Incorporating utility into targeted pattern mining can address the practical limitations of traditional frequency-based approaches. However, utility-based methods often suffer from generating a large number of long and complicated sequences. To improve pattern relevance and interpretability, average utility provides a more balanced metric by considering both utility and sequence length. Moreover, incorporating user-defined query targets into the mining process enhances usability and interactivi…

Series A, Episode 04 - Time Squad
VILA: A limiter?
GAN: Something that stops him from helping us too much. Or maybe it's someone who stops him.
VILA: Gan, if you're trying to scare me, you're succeeding.
[Exterior. Liberator approaches the alien craft.]
https://blake.torpidity.net/m/104/91

Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps
Gabriel Maldonado, Narges Rashvand, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Hamed Tabkhi
https://arxiv.org/abs/2509.19252

D3MAS: Decompose, Deduce, and Distribute for Enhanced Knowledge Sharing in Multi-Agent Systems
Heng Zhang, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Yilei Yuan, Jin Huang
https://arxiv.org/abs/2510.10585

D3MAS: Decompose, Deduce, and Distribute for Enhanced Knowledge Sharing in Multi-Agent Systems
Multi-agent systems powered by large language models exhibit strong capabilities in collaborative problem-solving. However, these systems suffer from substantial knowledge redundancy. Agents duplicate efforts in retrieval and reasoning processes. This inefficiency stems from a deeper issue: current architectures lack mechanisms to ensure agents share minimal sufficient information at each operational stage. Empirical analysis reveals an average knowledge duplication rate of 47.3\% across agent …

Prepared mind, fast response: A temporal decoupling framework for adaptive knowledge orchestration in open-domain dialogue
Jinling Gan, Churong Liang, Runnan Li
https://arxiv.org/abs/2510.08175

Prepared mind, fast response: A temporal decoupling framework for adaptive knowledge orchestration in open-domain dialogue
The latency-quality tradeoff is a fundamental constraint in open-domain dialogue AI systems, since comprehensive knowledge access necessitates prohibitive response delays. Contemporary approaches offer two inadequate solutions: lightweight instruct models achieve sub-second latency but lack reasoning depth, while tool-augmented ReAct agents enhance factuality through external knowledge at the cost of synchronous execution that blocks interaction during re- trieval processes. PMFR is thus propos…

Physics-Constrained Inc-GAN for Tunnel Propagation Modeling from Sparse Line Measurements
Yang Zhou, Haochang Wu, Yunxi Mu, Hao Qin, Xinyue Zhang, Xingqi Zhang
https://arxiv.org/abs/2510.03019

Physics-Constrained Inc-GAN for Tunnel Propagation Modeling from Sparse Line Measurements
High-speed railway tunnel communication systems require reliable radio wave propagation prediction to ensure operational safety. However, conventional simulation methods face challenges of high computational complexity and inability to effectively process sparse measurement data collected during actual railway operations. This letter proposes an inception-enhanced generative adversarial network (Inc-GAN) that can reconstruct complete electric field distributions across tunnel cross-sections usi…

Series A, Episode 06 - Seek-Locate-Destroy
BLAKE: [To Avon] Now do you know what you're looking for?
AVON: [Shortly] Yes. [Moves off towards the equipment.]
BLAKE: [To Gan] All the equipment here?
GAN: All here.
https://blake.torpidity.net/m/106/52 B7B6

Stab-QRAM: An All-Clifford Quantum Random Access Memory for Special Data
Guangyi Li, Yu Gan, Zeguan Wu, Xueyue Zhang, Zheshen Zhang, Junyu Liu
https://arxiv.org/abs/2509.26494 h…

Stab-QRAM: An All-Clifford Quantum Random Access Memory for Special Data
Quantum random access memories (QRAMs) are pivotal for data-intensive quantum algorithms, but existing general-purpose and domain-specific architectures are hampered by a critical bottleneck: a heavy reliance on non-Clifford gates (e.g., T-gates), which are prohibitively expensive to implement fault-tolerantly. To address this challenge, we introduce the Stabilizer-QRAM (Stab-QRAM), a domain-specific architecture tailored for data with an affine Boolean structure ($f(\mathbf{x}) = A\mathbf{x} +…

Super-resolution image projection over an extended depth of field using a diffractive decoder
Hanlong Chen, Cagatay Isil, Tianyi Gan, Mona Jarrahi, Aydogan Ozcan
https://arxiv.org/abs/2510.03938

Super-resolution image projection over an extended depth of field using a diffractive decoder
Image projection systems must be efficient in data storage, computation and transmission while maintaining a large space-bandwidth-product (SBP) at their output. Here, we introduce a hybrid image projection system that achieves extended depth-of-field (DOF) with improved resolution, combining a convolutional neural network (CNN)-based digital encoder with an all-optical diffractive decoder. A CNN-based encoder compresses input images into compact phase representations, which are subsequently di…

U-DiT Policy: U-shaped Diffusion Transformers for Robotic Manipulation
Linzhi Wu, Aoran Mei, Xiyue Wang, Guo-Niu Zhu, Zhongxue Gan
https://arxiv.org/abs/2509.24579 https://

U-DiT Policy: U-shaped Diffusion Transformers for Robotic Manipulation
Diffusion-based methods have been acknowledged as a powerful paradigm for end-to-end visuomotor control in robotics. Most existing approaches adopt a Diffusion Policy in U-Net architecture (DP-U), which, while effective, suffers from limited global context modeling and over-smoothing artifacts. To address these issues, we propose U-DiT Policy, a novel U-shaped Diffusion Transformer framework. U-DiT preserves the multi-scale feature fusion advantages of U-Net while integrating the global context…

GAN-Based Multi-Microphone Spatial Target Speaker Extraction
Shrishti Saha Shetu, Emanu\"el A. P. Habets, Andreas Brendel
https://arxiv.org/abs/2509.17741 https://

GAN-Based Multi-Microphone Spatial Target Speaker Extraction
Spatial target speaker extraction isolates a desired speaker's voice in multi-speaker environments using spatial information, such as the direction of arrival (DoA). Although recent deep neural network (DNN)-based discriminative methods have shown significant performance improvements, the potential of generative approaches, such as generative adversarial networks (GANs), remains largely unexplored for this problem. In this work, we demonstrate that a GAN can effectively leverage both noisy mixt…

"the prosecutors provided *selected pages* from the grand jury transcript"
'Big trouble': Legal expert says Trump DOJ's effort to fix 'screw up' just 'made it worse' - Raw Story
https://www.rawstory.com/james-comey-halligan-big-trouble/

Relief of EGFR/FOS-downregulated miR-103a by loganin alleviates NF-kappaB-triggered inflammation and gut barrier disruption in colitis
Yan Li, Teng Hui, Xinhui Zhang, Zihan Cao, Ping Wang, Shirong Chen, Ke Zhao, Yiran Liu, Yue Yuan, Dou Niu, Xiaobo Yu, Gan Wang, Changli Wang, Yan Lin, Fan Zhang, Hefang Wu, Guodong Feng, Yan Liu, Jiefang Kang, Yaping Yan, Hai Zhang, Xiaochang Xue, Xun Jiang

Relief of EGFR/FOS-downregulated miR-103a by loganin alleviates NF-kappaB-triggered inflammation and gut barrier disruption in colitis
Due to the ever-rising global incidence rate of inflammatory bowel disease (IBD) and the lack of effective clinical treatment drugs, elucidating the detailed pathogenesis, seeking novel targets, and developing promising drugs are the top priority for IBD treatment. Here, we demonstrate that the levels of microRNA (miR)-103a were significantly downregulated in the inflamed mucosa of ulcerative colitis (UC) patients, along with elevated inflammatory cytokines (IL-1beta/TNF-alpha) and reduced tigh…

The role of the solid-melt interface in accelerating the self-catalyzed growth kinetics of III-V semiconductors
Zhucong Xi, Abby Liu, Xiaobo Chen, Meng Li, Dmitri N. Zakharov, Judith C. Yang, Rachel S. Goldman, Liang Qi
https://arxiv.org/abs/2509.24206

The role of the solid-melt interface in accelerating the self-catalyzed growth kinetics of III-V semiconductors
Solid-melt interfaces play a pivotal role in governing crystal growth and metal-mediated epitaxy of gallium nitride (GaN) and other semiconductor materials. Using atomistic simulations based on machine-learning interatomic potentials (MLIPs), we uncover that multiple layers of Ga atoms at the GaN-Ga melt interface form structurally ordered and electronically charged configurations that are critical for the growth kinetics of GaN. These ordered layers modulate the free energy landscape (FEL) for…

Comparative Analysis of GAN and Diffusion for MRI-to-CT translation
Emily Honey, Anders Helbo, Jens Petersen
https://arxiv.org/abs/2509.22049 https://arxiv…

Comparative Analysis of GAN and Diffusion for MRI-to-CT translation
Computed tomography (CT) is essential for treatment and diagnostics; In case CT are missing or otherwise difficult to obtain, methods for generating synthetic CT (sCT) images from magnetic resonance imaging (MRI) images are sought after. Therefore, it is valuable to establish a reference for what strategies are most effective for MRI-to-CT translation. In this paper, we compare the performance of two frequently used architectures for MRI-to-CT translation: a conditional generative adversarial n…

Series B, Episode 02 - Shadow
BLAKE: Think, Gan, think what they've got: men, material, information. Think what we could do with a fraction of the resources they control.
GAN: No, YOU think, Blake. Think what it is they control. Everything dirty, degrading, and cruel on just about every colonized world.
https://blake.torpid…

New Synthetic Goldmine: Hand Joint Angle-Driven EMG Data Generation Framework for Micro-Gesture Recognition
Nana Wang, Gen Li, Suli Wang, Pengfei Ren, Hao Su
https://arxiv.org/abs/2509.23359

New Synthetic Goldmine: Hand Joint Angle-Driven EMG Data Generation Framework for Micro-Gesture Recognition
Electromyography (EMG)-based gesture recognition has emerged as a promising approach for human-computer interaction. However, its performance is often limited by the scarcity of labeled EMG data, significant cross-user variability, and poor generalization to unseen gestures. To address these challenges, we propose SeqEMG-GAN, a conditional, sequence-driven generative framework that synthesizes high-fidelity EMG signals from hand joint angle sequences. Our method introduces a context-aware archi…

Exotic PeVatrons as sources of ultra-high-energy gamma rays
Andrea Addazi, Salvatore Capozziello, Qingyu Gan
https://arxiv.org/abs/2510.00254 https://arxiv…

Exotic PeVatrons as sources of ultra-high-energy gamma rays
We explore novel classes of exotic astrophysical sources capable of producing ultra-high-energy gamma rays extending beyond the PeV scale, motivated by quantum gravity scenarios and dark matter phenomenology. These sources include: ultra-spinning black hole vortex-string systems; exotic compact objects such as boson star, axion star and Q-ball. Such Exotica generate powerful magnetic fields through interactions with millicharged dark matter, enabling particle acceleration mechanisms that surpas…

Crosslisted article(s) found for cs.GR. https://arxiv.org/list/cs.GR/new
[1/1]:
- HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication
Heng Zhang, Yuling Shi, Xiaodong Gu, Zijian Zhang, Haochen You, Lubin Gan, Yilei Yuan, Jin Huang

🇺🇦 #NowPlaying on KEXP's #PositiveVibrations
JonQuan & Victor Rice:
🎵 Ganja Dub
#JonQuan #VictorRice
https://jonquan.bandcamp.com/track/ganja-dub

TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation
Jiaben Chen, Zixin Wang, Ailing Zeng, Yang Fu, Xueyang Yu, Siyuan Cen, Julian Tanke, Yihang Chen, Koichi Saito, Yuki Mitsufuji, Chuang Gan
https://arxiv.org/abs/2510.07249

TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation
In this work, we present TalkCuts, a large-scale dataset designed to facilitate the study of multi-shot human speech video generation. Unlike existing datasets that focus on single-shot, static viewpoints, TalkCuts offers 164k clips totaling over 500 hours of high-quality human speech videos with diverse camera shots, including close-up, half-body, and full-body views. The dataset includes detailed textual descriptions, 2D keypoints and 3D SMPL-X motion annotations, covering over 10k identities…

RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases
Lang Qin, Zijian Gan, Xu Cao, Pengcheng Jiang, Yankai Jiang, Jiawei Han, Kaishun Wu, Jintai Chen
https://arxiv.org/abs/2510.05764

RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases
Computational drug repurposing for rare diseases is especially challenging when no prior associations exist between drugs and target diseases. Therefore, knowledge graph completion and message-passing GNNs have little reliable signal to learn and propagate, resulting in poor performance. We present RareAgent, a self-evolving multi-agent system that reframes this task from passive pattern recognition to active evidence-seeking reasoning. RareAgent organizes task-specific adversarial debates in w…

Series A, Episode 12 - Deliverance
VILA: [Aside, to Gan] I told you she was mad.
GAN: [To Meegat] How long have you been waiting?
https://blake.torpidity.net/m/112/314 B7B4

Constrained Higher-Order Binary Optimization for Wireless Communications Systems Using Ising Machines
Gan Zheng, Ioannis Krikidis
https://arxiv.org/abs/2509.20092 https://

Constrained Higher-Order Binary Optimization for Wireless Communications Systems Using Ising Machines
This paper develops an algorithmic solution using Ising machines to solve large-scale higher-order binary optimization (HOBO) problems with inequality constraints for resource optimization in wireless communications systems. Quadratic unconstrained binary optimization (QUBO) aims to solve a special category of these problems widely encountered in engineering and science. To solve QUBO instances, specialized Ising machines have been designed, while sophisticated quantum annealing algorithm and q…

Kernel Variational Inference Flow for Nonlinear Filtering Problem
Weiye Gan, Zhijun Zeng, Junqing Chen, Zuoqiang Shi
https://arxiv.org/abs/2509.18589 https://

Enhancement of the WS$_2$ A$_{1\text{g}}$ Raman Mode in MoS$_2$/WS$_2$ Heterostructures
Annika Bergmann-Iwe, Tomasz Wo\'zniak, Mustafa Hemaid, Ois\'in Garrity, Patryk Kusch, Rico Schwartz, Ziyang Gan, Antony George, Ludger Wirtz, Stephanie Reich, Andrey Turchanin, Tobias Korn
https://arxiv.org/abs/2510.00785

Enhancement of the WS$_2$ A$_{1\text{g}}$ Raman Mode in MoS$_2$/WS$_2$ Heterostructures
When combined into van der Waals heterostructures, transition metal dichalcogenide monolayers enable the exploration of novel physics beyond their unique individual properties. However, for interesting phenomena such as interlayer charge transfer and interlayer excitons to occur, precise control of the interface and ensuring high-quality interlayer contact is crucial. Here, we investigate bilayer heterostructures fabricated by combining chemical-vapor-deposition-grown MoS$_2$ and exfoliated WS$…

VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations
Niccol\`o Tonioni, Lionel Agostini, Franck Kerherv\'e, Laurent Cordier, Ricardo Vinuesa
https://arxiv.org/abs/2509.24965

VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations
Developing reduced-order models applicable to fluid-dynamics problems involving complex geometries and different flow conditions remains a critical challenge for turbulent flows. This study introduces VIVALDy, a novel machine-learning framework that employs a hybrid $β$-Variational Autoencoder-Generative Adversarial Network ($β$-VAE-GAN) architecture with masked convolutions to extract dominant flow features into a compact latent space while preserving fidelity at solid-fluid interfaces. A bi…

Sentry: Authenticating Machine Learning Artifacts on the Fly
Andrew Gan, Zahra Ghodsi
https://arxiv.org/abs/2510.00554 https://arxiv.org/pdf/2510.00554

Sentry: Authenticating Machine Learning Artifacts on the Fly
Machine learning systems increasingly rely on open-source artifacts such as datasets and models that are created or hosted by other parties. The reliance on external datasets and pre-trained models exposes the system to supply chain attacks where an artifact can be poisoned before it is delivered to the end-user. Such attacks are possible due to the lack of any authenticity verification in existing machine learning systems. Incorporating cryptographic solutions such as hashing and signing can m…

A Michigan elected official is married to a neo-Nazi. Some constituents have a problem with that. (Matthew Miller/MLive.com)
https://www.mlive.com/news/2025/10/a-michigan-elected-official-is-married-to-a-neo-nazi-some-constituents-have-a-problem-with-that.html
http://www.memeorandum.com/251027/p77#a251027p77

Series A, Episode 07 - Mission To Destiny
CALLY: I'll get the others.
BLAKE: I'll be back in a minute. [Leaves room]
[LIBERATOR - Gan and Jenna view the scanner.]
GAN: He's cutting it too fine.
JENNA: Come on Blake, get out of there.
https://blake.torpidity.net/m/107/464

Ledrappier-Young entropy formula for $C^1$ diffeomorphisms with dominated splitting Part 1: Unstable entropy formula and invariance principle
Shaobo Gan, Yao Tong, Jiagang Yang
https://arxiv.org/abs/2509.16981

Ledrappier-Young entropy formula for $C^1$ diffeomorphisms with dominated splitting Part 1: Unstable entropy formula and invariance principle
We study the unstable entropy of $C^1$ diffeomorphisms with dominated splittings. Our main result shows that when the zero Lyapunov exponent has multiplicity one, the center direction contributes no entropy, and the unstable entropy coincides with the metric entropy. This extends the celebrated work of Ledrappier-Young [18] for $C^2$ diffeomorphisms to the $C^1$ setting under these assumptions. In particular, our results apply to $C^1$ diffeomorphisms away from homoclinic tangencies due to [20]…

Flexible Intelligent Metasurface for Reconfiguring Radio Environments
Hanwen Hu, Jiancheng An, Lu Gan, Naofal Al-Dhahir
https://arxiv.org/abs/2510.07466 https://

Flexible Intelligent Metasurface for Reconfiguring Radio Environments
Flexible intelligent metasurface (FIM) technology holds immense potential for increasing the spectral efficiency and energy efficiency of wireless networks. In contrast to traditional rigid reconfigurable intelligent surfaces (RIS), an FIM consists of an array of elements, each capable of independently tuning electromagnetic signals, while flexibly adjusting its position along the direction perpendicular to the surface. In contrast to traditional rigid metasurfaces, FIM is capable of morphing i…

Ransomware gang steals meeting videos, financial secrets from fence wholesaler https://therecord.media/ransomware-gang-steals-meeting-video-fence-manufacturer

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[13/13]:
- NGGAN: Noise Generation GAN Based on the Practical Measurement Dataset for Narrowband Powerline C...
Ying-Ren Chien, Po-Heng Chou, You-Jie Peng, Chun-Yuan Huang, Hen-Wai Tsao, Yu Tsao

Crosslisted article(s) found for math.RT. https://arxiv.org/list/math.RT/new
[1/1]:
- Central values of Asai L-functions and twisted Gan--Gross--Prasad conjecture: relative trace form...
Weixiao Lu, Danielle Wang, Zhiyu Zhang

Dual Pruning and Sorting-Free Overestimation for Average-Utility Sequential Pattern Mining
Kai Cao, Yucong Duan, Wensheng Gan
https://arxiv.org/abs/2510.04014 https://

Dual Pruning and Sorting-Free Overestimation for Average-Utility Sequential Pattern Mining
In a quantitative sequential database, numerous efficient algorithms have been developed for high-utility sequential pattern mining (HUSPM). HUSPM establishes a relationship between frequency and significance in the real world and reflects more crucial information than frequent pattern mining. However, high average-utility sequential pattern mining (HAUSPM) is deemed fairer and more valuable than HUSPM. It provides a reasonable measure for longer patterns by considering their length. In contras…

Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
Lubos Mjachky, Ivan Homoliak
https://arxiv.org/abs/2509.20024

Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
Biometric-based authentication systems are getting broadly adopted in many areas. However, these systems do not allow participating users to influence the way their data is used. Furthermore, the data may leak and can be misused without the users' knowledge. In this paper, we propose a new authentication method that preserves the privacy of individuals and is based on a generative adversarial network (GAN). Concretely, we suggest using the GAN for translating images of faces to a visually priva…

Crosslisted article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Keywords are not always the key: A metadata field analysis for natural language search on open da...
Lisa-Yao Gan, Arunav Das, Johanna Walker, Elena Simperl

Development of a time calibration system for the KLM upgrade in the Belle II experiment
Ziyu Liu, Xiyang Wang, Shiming Zou, Xiaolong Wang, Junhao Yin, Minggang Zhao
https://arxiv.org/abs/2509.20029

Development of a time calibration system for the KLM upgrade in the Belle II experiment
To meet the stringent time calibration requirements for the Belle II experiment upgrade, particularly for its large-size KL and Muon Detector comprising tens of thousands of scintillator channels with time resolutions better than 100 ps, we developed a compact and high-speed time calibration system. The system utilizes a laser diode as its light source, integrated with a fast pulse laser drive circuit that employs high-speed switching GaN FETs and gate drivers. A prototype was constructed and r…

Precision calculation of $^3$He$(\alpha,\gamma)^7$Be for solar physics
Ratna Khadka, Ling Gan, Renato Higa, Gautam Rupak
https://arxiv.org/abs/2509.24931 https://

Precision calculation of $^3$He$(α,γ)^7$Be for solar physics
We calculate the cross section for radiative capture $^3$He$(α,γ)^7$Be at next-to-next-to-leading order (NNLO). At this order of perturbation, momentum dependent two-body currents make their first appearance. We provide a model-independent construction of these currents from gauge and Galilean invariance, where the general framework for constructing higher-order two-body currents in low-energy effective field theories becomes evident. The $^3$He$(α,γ)^7$Be astrophysical S-factor $S_{34}(0)=…

🇺🇦 #NowPlaying on KEXP's #PositiveVibrations
Linval Thompson & JonQuan & Victor Rice:
🎵 Cultivator
#LinvalThompson #JonQuan #VictorRice
https://jonquan.bandcamp.com/track/ganja-dub
https://open.spotify.com/track/5l7tprzkWivxTirwzIygqy

Series A, Episode 04 - Time Squad
JENNA: Gan, the aliens have linked their ship to our power source. I'm getting a very heavy power loss. I'll have to disconnect. You'll be all right, won't you?
GAN: [Nods] Yes.
https://blake.torpidity.net/m/104/454 B7B6

Ohne Weihnachtsgans is ja auch nix. Also im #klexadventskalender, wo sonst.
Das gans und gar handgemalte #wandklex Original ist jetzt auf #birds #art #artShop #geese #goose #fediArt #mastoArt #creativeToots #artForSale

1-bit RIS-aided Index Modulation with Quantum Annealing
Ioannis Krikidis, Constantinos Psomas, Gan Zheng
https://arxiv.org/abs/2509.18932 https://arxiv.org…

Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
Zixuan Yi, Sami Abu-el-Haija, Yawen Wang, Teja Vemparala, Yannis Chronis, Yu Gan, Michael Burrows, Carsten Binnig, Bryan Perozzi, Ryan Marcus, Fatma Ozcan
https://arxiv.org/abs/2510.03386

Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
DB engines produce efficient query execution plans by relying on cost models. Practical implementations estimate cardinality of queries using heuristics, with magic numbers tuned to improve average performance on benchmarks. Empirically, estimation error significantly grows with query complexity. Alternatively, learning-based estimators offer improved accuracy, but add operational complexity preventing their adoption in-practice. Recognizing that query workloads contain highly repetitive subque…

Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-Resolution
Wankun Chen, Feng Gao, Yanhai Gan, Jingchao Cao, Junyu Dong, Qian Du
https://arxiv.org/abs/2509.24334

Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-Resolution
Sea surface temperature (SST) is an essential indicator of global climate change and one of the most intuitive factors reflecting ocean conditions. Obtaining high-resolution SST data remains challenging due to limitations in physical imaging, and super-resolution via deep neural networks is a promising solution. Recently, Mamba-based approaches leveraging State Space Models (SSM) have demonstrated significant potential for long-range dependency modeling with linear complexity. However, their ap…

High-Precision Temperature Estimation Based on Magnetic Nanoparticles Dominated by Brownian Relaxation under Combined AC and DC Magnetic Fields
Zhongzhou Du, Wenze Zhang, Yi Sun, Na Ye, Yong Gan, Pengchao Wang, Xinwei Zhang, Yuanhao Zhang, Shijie Han, Haochen Zhang, Haozhe Wang, Wenzhong Liu, Takashi Yoshida
https://arxiv.org/abs/2509.2430…

High-Precision Temperature Estimation Based on Magnetic Nanoparticles Dominated by Brownian Relaxation under Combined AC and DC Magnetic Fields
Brownian relaxation is one of the primary mechanisms that allows magnetic nanoparticles (MNPs) to convert magnetic energy into thermal energy under an excitation magnetic field. Accurately characterizing the MNPs' magnetization dynamics dominated by Brownian relaxation is crucial for achieving high-precision temperature estimation. However, the lack of a readily applicable analytical expression remains a major obstacle to the advancement of magnetic nanoparticle hyperthermia (MNPH). In this pap…

Series B, Episode 05 - Pressure Point
BLAKE: A church.
GAN: A church?
BLAKE: Place of religious assembly.
GAN: Must be ancient.
BLAKE: The Federation had them all destroyed at the beginning of the New Calendar.
GAN: There's no sign of Kasabi?
https://blake.torpidity.net/m/205/220

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Keywords are not always the key: A metadata field analysis for natural language search on open da...
Lisa-Yao Gan, Arunav Das, Johanna Walker, Elena Simperl

A Race Bias Free Face Aging Model for Reliable Kinship Verification
Ali Nazari, Bardiya Kariminia, Mohsen Ebrahimi Moghaddam
https://arxiv.org/abs/2509.15177 https://

A Race Bias Free Face Aging Model for Reliable Kinship Verification
The age gap in kinship verification addresses the time difference between the photos of the parent and the child. Moreover, their same-age photos are often unavailable, and face aging models are racially biased, which impacts the likeness of photos. Therefore, we propose a face aging GAN model, RA-GAN, consisting of two new modules, RACEpSp and a feature mixer, to produce racially unbiased images. The unbiased synthesized photos are used in kinship verification to investigate the results of ver…

Keywords are not always the key: A metadata field analysis for natural language search on open data portals
Lisa-Yao Gan, Arunav Das, Johanna Walker, Elena Simperl
https://arxiv.org/abs/2509.14457

Keywords are not always the key: A metadata field analysis for natural language search on open data portals
Open data portals are essential for providing public access to open datasets. However, their search interfaces typically rely on keyword-based mechanisms and a narrow set of metadata fields. This design makes it difficult for users to find datasets using natural language queries. The problem is worsened by metadata that is often incomplete or inconsistent, especially when users lack familiarity with domain-specific terminology. In this paper, we examine how individual metadata fields affect the…

Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation
Tharcisse Ndayipfukamiye, Jianguo Ding, Doreen Sebastian Sarwatt, Adamu Gaston Philipo, Huansheng Ning
https://arxiv.org/abs/2509.20411

Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation
Machine learning-based cybersecurity systems are highly vulnerable to adversarial attacks, while Generative Adversarial Networks (GANs) act as both powerful attack enablers and promising defenses. This survey systematically reviews GAN-based adversarial defenses in cybersecurity (2021--August 31, 2025), consolidating recent progress, identifying gaps, and outlining future directions. Using a PRISMA-compliant systematic literature review protocol, we searched five major digital libraries. From 8…

Series A, Episode 12 - Deliverance
MEEGAT: I will await your return.
VILA: You'll wait up there by the door?
GAN: If we make it, we'll be back.
MEEGAT: The Lord Avon will protect you. [Vila gives Gan a skeptical look and the two of them go on ahead.]
https://blake.torpidity.net/m/112/398

Fabrication of hydrogen-bonded metal inorganic-organic complex glasses by ligand-tuning approach
Tianzhao Xu, Zhencai Li, Jia-Xin Wu, Zihao Wang, Hanmeng Zhang, Huotian Zhang, Lars R. Jensen, Kenji Shinozaki, Feng Gao, Haomiao Zhu, Ivan Hung, Zhehong Gan, Jinjun Ren, Zheng Yin, Ming-Hua Zeng, Yuanzheng Yue
https://arxiv.org/abs/2509.24755

Fabrication of hydrogen-bonded metal inorganic-organic complex glasses by ligand-tuning approach
Metal inorganic-organic complex (MIOC) crystals are a new category of hybrid glass formers. However, the glass-forming compositions of MIOC crystals are limited due to lack of both a general design principle for such compositions and a deep understanding of the structure and formation mechanism for MIOC glasses. This work reports a general approach for synthesizing glass-forming MIOC crystals. In detail, the principle of this approach is based on the creation of hydrogen-bonded structural netwo…

Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
Zhen Yang, Zi-Yi Dou, Di Feng, Forrest Huang, Anh Nguyen, Keen You, Omar Attia, Yuhao Yang, Michael Feng, Haotian Zhang, Ram Ramrakhya, Chao Jia, Jeffrey Nichols, Alexander Toshev, Yinfei Yang, Zhe Gan
https://arxiv.org/abs/2509.26539…

Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
Developing autonomous agents that effectively interact with Graphic User Interfaces (GUIs) remains a challenging open problem, especially for small on-device models. In this paper, we present Ferret-UI Lite, a compact, end-to-end GUI agent that operates across diverse platforms, including mobile, web, and desktop. Utilizing techniques optimized for developing small models, we build our 3B Ferret-UI Lite agent through curating a diverse GUI data mixture from real and synthetic sources, strengthe…

Series A, Episode 03 - Cygnus Alpha
BLAKE: [V.O.] Make it fast.
JENNA: [Presses button] Get the ship moving.
[Avon exits. Blake, Vila and Gan materialize. Vargas materializes in another teleport section.]
JENNA: [Turning to teleport] Blake?
https://blake.torpidity.net/m/103/565

Advances in Large Language Models for Medicine
Zhiyu Kan, Wensheng Gan, Zhenlian Qi, Philip S. Yu
https://arxiv.org/abs/2509.18690 https://arxiv.org/pdf/25…

A Robust Proactive Communication Strategy for Distributed Active Noise Control Systems
Junwei Ji, Dongyuan Shi, Zhengding Luo, Boxiang Wang, Ziyi Yang, Haowen Li, Woon-Seng Gan
https://arxiv.org/abs/2510.00934

A Robust Proactive Communication Strategy for Distributed Active Noise Control Systems
Distributed multichannel active noise control (DMCANC) systems assign the high computational load of conventional centralized algorithms across multiple processing nodes, leveraging inter-node communication to collaboratively suppress unwanted noise. However, communication overhead can undermine algorithmic stability and degrade overall performance. To address this challenge, we propose a robust communication framework that integrates adaptive-fixed-filter switching and the mixed-gradient combi…

Series A, Episode 12 - Deliverance
GAN: That's Jenna's.
AVON: Obviously somebody, or something, attacked her.
VILA: And obviously it won.
GAN: She might have made a run for it.
https://blake.torpidity.net/m/112/117 B7B3

B\'ezier Meets Diffusion: Robust Generation Across Domains for Medical Image Segmentation
Chen Li, Meilong Xu, Xiaoling Hu, Weimin Lyu, Chao Chen
https://arxiv.org/abs/2509.22476

Bézier Meets Diffusion: Robust Generation Across Domains for Medical Image Segmentation
Training robust learning algorithms across different medical imaging modalities is challenging due to the large domain gap. Unsupervised domain adaptation (UDA) mitigates this problem by using annotated images from the source domain and unlabeled images from the target domain to train the deep models. Existing approaches often rely on GAN-based style transfer, but these methods struggle to capture cross-domain mappings in regions with high variability. In this paper, we propose a unified framew…

SPADE: A Large Language Model Framework for Soil Moisture Pattern Recognition and Anomaly Detection in Precision Agriculture
Yeonju Lee, Rui Qi Chen, Joseph Oboamah, Po Nien Su, Wei-zhen Liang, Yeyin Shi, Lu Gan, Yongsheng Chen, Xin Qiao, Jing Li
https://arxiv.org/abs/2509.18123

Replaced article(s) found for cs.GR. https://arxiv.org/list/cs.GR/new
[1/1]:
- Voyager: Real-Time Splatting City-Scale Gaussians on Resource-Constrained Devices
Liu, Zhu, Li, Wang, Shi, Gan, Li, Leng, Guo, Feng

Series B, Episode 04 - Horizon
BLAKE: [V.O.] Make sure we stay that way.
GAN: I'll try not to drop off.
JENNA: Well, that's all right, assuming they haven't got a fix on us from the ground by now.
BLAKE: No, it'd be raining plasma bolts if they had.
https://blake.torpidity.net/m/204/140

StrCGAN: A Generative Framework for Stellar Image Restoration
Shantanusinh Parmar
https://arxiv.org/abs/2509.19805 https://arxiv.org/pdf/2509.19805

StrCGAN: A Generative Framework for Stellar Image Restoration
We introduce StrCGAN (Stellar Cyclic GAN), a generative model designed to enhance low-resolution astrophotography images. Our goal is to reconstruct high-fidelity ground truth-like representations of celestial objects, a task that is challenging due to the limited resolution and quality of small-telescope observations such as the MobilTelesco dataset. Traditional models such as CycleGAN provide a foundation for image-to-image translation but are restricted to 2D mappings and often distort the m…

Utility-based Privacy Preserving Data Mining
Qingfeng Zhou, Wensheng Gan, Zhenlian Qi, Philip S. Yu
https://arxiv.org/abs/2509.15755 https://arxiv.org/pdf/…

Utility-based Privacy Preserving Data Mining
With the advent of big data, periodic pattern mining has demonstrated significant value in real-world applications, including smart home systems, healthcare systems, and the medical field. However, advances in network technology have enabled malicious actors to extract sensitive information from publicly available datasets, posing significant threats to data providers and, in severe cases, hindering societal development. To mitigate such risks, privacy-preserving utility mining (PPUM) has been …

#Blakes7 Series A, Episode 03 - Cygnus Alpha
KARA: Gan.
[Gan steps back. The spear misses him and hits Kara. The fight continues. Blake is struggling with one of the priests. Vila stabs the priest.]
BLAKE: Don't just stand there Vila. Run.
h…

Series B, Episode 03 - Weapon
SERVALAN: Guard. [He moves forward. She presses the key. He falls down] That sort. He was marked for death, as you three have been, with that gun. [Avon moves for the projector] Leave it. You're in range now. I press this, and you're all like him.
GAN: Is she bluffing?
https://blake.torpid…

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
Dehong Kong, Sifan Yu, Siyuan Liang, Jiawei Liang, Jianhou Gan, Aishan Liu, Wenqi Ren
https://arxiv.org/abs/2509.20196

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
Visual language modeling for automated driving is emerging as a promising research direction with substantial improvements in multimodal reasoning capabilities. Despite its advanced reasoning abilities, VLM-AD remains vulnerable to serious security threats from adversarial attacks, which involve misleading model decisions through carefully crafted perturbations. Existing attacks have obvious challenges: 1) Physical adversarial attacks primarily target vision modules. They are difficult to direc…

Discovering Top-k Periodic and High-Utility Patterns
Qingfeng Zhou, Wensheng Gan, Guoting Chen
https://arxiv.org/abs/2509.15732 https://arxiv.org/pdf/2509.…

Discovering Top-k Periodic and High-Utility Patterns
With a user-specified minimum utility threshold (minutil), periodic high-utility pattern mining (PHUPM) aims to identify high-utility patterns that occur periodically in a transaction database. A pattern is deemed periodic if its period aligns with the periodicity constraint set by the user. However, users may not be interested in all periodic high-utility patterns (PHUPs). Moreover, setting minutil in advance is also a challenging issue. To address these issues, our research introduces an algo…

#Blakes7 Series A, Episode 12 - Deliverance
VOICE: [V.O. in background] ...secondary stage is clear for count...meteorology checks confirmed. Clear for count...control checks confirmed...are cleared, green, and stable...telemetry systems... [The countdown check continues in the background.]
GAN: Do you really think we could launch that ship?

MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
Yanghao Li, Rui Qian, Bowen Pan, Haotian Zhang, Haoshuo Huang, Bowen Zhang, Jialing Tong, Haoxuan You, Xianzhi Du, Zhe Gan, Hyunjik Kim, Chao Jia, Zhenbang Wang, Yinfei Yang, Mingfei Gao, Zi-Yi Dou, Wenze Hu, Chang Gao, Dongxu Li, Philipp Dufter, Zirui Wang, Guoli Yin, Zhengdong Zhang, Chen Chen, Yang Zhao, Ruoming Pang, Zhifeng Chen

MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
Unified multimodal Large Language Models (LLMs) that can both understand and generate visual content hold immense potential. However, existing open-source models often suffer from a performance trade-off between these capabilities. We present Manzano, a simple and scalable unified framework that substantially reduces this tension by coupling a hybrid image tokenizer with a well-curated training recipe. A single shared vision encoder feeds two lightweight adapters that produce continuous embeddi…

Series A, Episode 10 - Breakdown
AVON: ...concept.
BLAKE: Damn.
AVON: We're going to have to turn back. Jenna, stand by to reverse the course.
JENNA: Look, we've set out to save Gan and that's what we're going to do.
AVON: But you don't understand.
https://blake.torpidity.net/m/110/204

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Keywords are not always the key: A metadata field analysis for natural language search on open da...
Lisa-Yao Gan, Arunav Das, Johanna Walker, Elena Simperl

Series A, Episode 11 - Bounty
JENNA: It could be an injured pilot.
AVON: It could be a trap.
GAN: It's not a very good one, then. We're suspicious of it already.
AVON: The test is not whether you are suspicious but whether you are caught.
https://blake.torpidity.net/m/111/65

#Blakes7 Series B, Episode 03 - Weapon
COSER: [To Clone 2] You betrayed me.
TRAVIS: Blake is a reformed character. There are only two traitors here.
[Blake, Avon, and Gan materialize in the compound]
https://blake.torpidity…

#Blakes7 Series B, Episode 03 - Weapon
VILA: I think my brain must be furring up.
GAN: IMIPAK might be something they can use against us, Vila.
VILA: Only if it can run faster than we can.
BLAKE: Jenna, set a course for that planet.
https…

Series A, Episode 10 - Breakdown
BLAKE: Cally! What happened?
CALLY: Gan has just tried to kill me.
BLAKE: What?
CALLY: I thought he was normal again.
BLAKE: You mean you RELEASED him?
CALLY: He's escaped.
https://blake.torpidity.net/m/110/289 B7B2