20260103_004230/papers.csv

Rank,ID,Title,Authors,Year,Venue,Track,Status,Primary Area,Keywords,Citations,BM25 Score,Combined Score,DOI,URL,PDF,Source,TLDR,Abstract
1,9FqARW7dwB,Hyper-Connections,Defa Zhu; Hongzhi Huang; Zihao Huang; Yutao Zeng; Yunyao Mao,2025,ICLR 2025,main,Poster,"foundation or frontier models, including LLMs",Network Architecture;Residual Connections;LLMs;Pre-training,0,1.000,0.628,,https://iclr.cc/virtual/2025/poster/30709,https://openreview.net/pdf?id=9FqARW7dwB,offline_iclr,,"We present hyper-connections, a simple yet effective method that can serve as an alternative to residual connections. This approach specifically addresses common drawbacks observed in residual connection variants, such as the seesaw effect between gradient vanishing and representation collapse. Theo"
2,A5AejTTloS,Value-Alignment via Safe Semantic Manifold-Constrained Latent Diffusion,,2026,ICLR 2026,main,Active,"alignment, fairness, safety, privacy, and societal considerations",value alignment; diffusion model; Manifold-Constrained,0,0.728,0.434,,https://openreview.net/forum?id=A5AejTTloS,,offline_iclr,,"LLM-based detoxification often shifts explicit toxicity into subtler forms: profanities vanish while harm persists through insinuations, stereotypes, microaggressions, and subtly discriminatory framing. We reformulate detoxification from a value-alignment perspective as a multi-principle constrained"
3,xxY8d4rnSb,ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation,Cédric Rommel; Victor Letzelter; Nermin Samet; Renaud Marlet; Matthieu Cord,2024,NIPS 2024,main,Poster,machine_vision,human pose estimation;depth ambiguity;multiple choice learning,0,0.724,0.390,,https://neurips.cc/virtual/2024/poster/93050,https://openreview.net/pdf?id=xxY8d4rnSb,offline_nips,,"We propose ManiPose, a manifold-constrained multi-hypothesis model for human-pose 2D-to-3D lifting. We provide theoretical and empirical evidence that, due to the depth ambiguity inherent to monocular 3D human pose estimation, traditional regression models suffer from pose-topology consistency issue"
4,VMV8gefvq8,MCNC: Manifold-Constrained Reparameterization for Neural Compression,Chayne Thrash; Reed Andreas; Ali Abbasi; Parsa Nooralinejad; Soroush Abbasi Koohpayegani,2025,ICLR 2025,main,Poster,"other topics in machine learning (i.e., none of the above)",Model Compression;LoRA;PEFT;Transformers;ViT,0,0.682,0.400,,https://iclr.cc/virtual/2025/poster/29420,https://openreview.net/pdf?id=VMV8gefvq8,offline_iclr,,"The outstanding performance of large foundational models across diverse tasks,
from computer vision to speech and natural language processing, has significantly
increased their demand. However, storing and transmitting these models poses
significant challenges due to their massive size (e.g., 750GB "
5,UTNZKl5BUc,Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization,seyed amir hossein saberi; Amir Najafi; Amin Behjati; Ala Emrani; Yasaman Zolfimoselo,2024,NIPS 2024,main,Poster,learning_theory,Gradual Domain Adaptation;Distributionally Robust Optimization;Generalization Bound;Error Propagation Characterization,0,0.676,0.379,,https://neurips.cc/virtual/2024/poster/94967,https://openreview.net/pdf?id=UTNZKl5BUc,offline_nips,,"The aim of this paper is to address the challenge of gradual domain adaptation within a class of manifold-constrained data distributions. In particular, we consider a sequence of $T\ge2$ data distributions $P_1,\ldots,P_T$ undergoing a gradual shift, where each pair of consecutive measures $P_i,P_{i"
6,32385,Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI,Won Jun Kim; Hyungjin Chung; Jaemin Kim; Sangmin Lee; Byeongsu Sim,2025,CVPR 2025,main,Poster,,,0,0.665,0.397,,https://cvpr.thecvf.com/virtual/2025/poster/32385,https://openaccess.thecvf.com/content/CVPR2025/papers/Kim_Derivative-Free_Diffusion_Manifold-Constrained_Gradient_for_Unified_XAI_CVPR_2025_paper.pdf,offline_cvpr,,"Gradient-based methods are a prototypical family of ""explainability for AI"" (XAI) techniques, especially for image-based models. However, they (1) require white-box access to models, (2) are vulnerable to adversarial attacks, and (3) produce attributions that lie off the image manifold, leading to e"
7,ECc2td0LCZ,Manifold-Constrained Gaussian Process Inference for One-shot Learning of Unknown Ordinary Differential Equations,,2026,ICLR 2026,main,Active,"applications to physical sciences (physics, chemistry, biology, etc.)",Gaussian Process;ODE learning,0,0.642,0.403,,https://openreview.net/forum?id=ECc2td0LCZ,,offline_iclr,,"Learning unknown ordinary differential equations (ODEs) from a single trajectory of scarce, noisy data is challenging, especially with partial observability. We introduce MAGI-X, an integration-free framework that couples a neural vector field with a Gaussian process prior over trajectories and enfo"
8,E77uvbOTtp,CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models,Hyungjin Chung; Jeongsol Kim; Geon Yeong Park; Hyelin Nam; Jong Chul Ye,2025,ICLR 2025,main,Poster,generative models,Diffusion models;Manifold;Classifier-free guidance,0,0.604,0.369,,https://iclr.cc/virtual/2025/poster/30421,https://openreview.net/pdf?id=E77uvbOTtp,offline_iclr,,"Classifier-free guidance (CFG) is a fundamental tool in modern diffusion models for text-guided generation. Although effective, CFG has notable drawbacks. For instance, DDIM with CFG lacks invertibility, complicating image editing; furthermore, high guidance scales, essential for high-quality output"
9,2022.acl-long.486,STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation,Qingkai Fang; Rong Ye; Lei Li; Yang Feng; Mingxuan Wang,2022,ACL 2022,main,Long,,,0,0.535,0.287,,https://aclanthology.org/2022.acl-long.486/,https://aclanthology.org/2022.acl-long.486.pdf,offline_acl,,"How to learn a better speech representation for end-to-end speech-to-text translation (ST) with limited labeled data? Existing techniques often attempt to transfer powerful machine translation (MT) capabilities to ST, but neglect the representation discrepancy across modalities. In this paper, we pr"
10,paper413,Neural Architecture Search of SPD Manifold Networks,Rhea Sanjay Sukthanker; Zhiwu Huang; Suryansh Kumar; Erik Goron Endsjo; Yan Wu,2021,IJCAI 2021,main,Poster,Machine Learning,Machine Learning: Classification; Machine Learning: Deep Learning; Machine Learning Applications: Networks,0,0.511,0.259,,https://www.ijcai.org/proceedings/2021/413,https://www.ijcai.org/proceedings/2021/0413.pdf,offline_ijcai,,"In this paper, we propose a new neural architecture search (NAS) problem of Symmetric Positive Definite (SPD) manifold networks, aiming to automate the design of SPD neural architectures. To address this problem, we first introduce a geometrically rich and diverse SPD neural architecture search spac"
11,2024.emnlp-main.987,Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging,Deyuan Liu; Zhanyue Qin; Hairu Wang; Zhao Yang; Zecheng Wang,2024,EMNLP 2024,main,Main,,,0,0.510,0.322,,https://aclanthology.org/2024.emnlp-main.987/,https://aclanthology.org/2024.emnlp-main.987.pdf,offline_emnlp,,"While large language models (LLMs) excel in many domains, their complexity and scale challenge deployment in resource-limited environments. Current compression techniques, such as parameter pruning, often fail to effectively utilize the knowledge from pruned parameters. To address these challenges, "
12,paper676,From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information,Shen Gao; Xiuying Chen; Zhaochun Ren; Dongyan Zhao; Rui Yan,2020,IJCAI 2020,Survey track,Poster,,Natural Language Processing: general,0,0.510,0.241,,https://www.ijcai.org/proceedings/2020/676,https://www.ijcai.org/proceedings/2020/0676.pdf,offline_ijcai,,"Text summarization is the research area aiming at creating a short and condensed version of the original document, which conveys the main idea of the document in a few words.
This research topic has started to attract the attention of a large community of researchers, and it is nowadays counted as "
13,paper479,MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing,Rong-Cheng Tu; Xian-Ling Mao; Wei Wei,2020,IJCAI 2020,main,Poster,Multidisciplinary Topics and Applications,Multidisciplinary Topics and Applications: Information Retrieval; Machine Learning: Unsupervised Learning; Machine Learning: Deep Learning,0,0.492,0.233,,https://www.ijcai.org/proceedings/2020/479,https://www.ijcai.org/proceedings/2020/0479.pdf,offline_ijcai,,"Most of the unsupervised hashing methods usually map images into semantic similarity-preserving hash codes by constructing local semantic similarity structure as guiding information, i.e., treating each point similar to its k nearest neighbours. However, for an image, some of its k nearest neighbour"
14,2024.acl-long.608,Soul-Mix: Enhancing Multimodal Machine Translation with Manifold Mixup,Xuxin Cheng; Ziyu Yao; Yifei Xin; Hao An; Hongxiang Li,2024,ACL 2024,main,Long,,,0,0.475,0.306,,https://aclanthology.org/2024.acl-long.608/,https://aclanthology.org/2024.acl-long.608.pdf,offline_acl,,"Multimodal machine translation (MMT) aims to improve the performance of machine translation with the help of visual information, which has received widespread attention recently. It has been verified that visual information brings greater performance gains when the textual information is limited. Ho"
15,paper564,A Grassmannian Manifold Self-Attention Network for Signal Classification,Rui Wang; Chen Hu; Ziheng Chen; Xiao-Jun Wu; Xiaoning Song,2024,IJCAI 2024,main,Poster,Machine Learning,Machine Learning: ML: Attention models; Machine Learning: ML: Classification; Machine Learning: ML: Geometric learning,0,0.465,0.320,,https://www.ijcai.org/proceedings/2024/564,https://www.ijcai.org/proceedings/2024/0564.pdf,offline_ijcai,,"In the community of artificial intelligence, significant progress has been made in encoding sequential data using deep learning techniques. Nevertheless, how to effectively mine useful information from channel dimensions remains a major challenge, as these features have a submanifold structure. Line"
16,13817,Escaping from saddle points on Riemannian manifolds,Yue Sun; Nicolas Flammarion; Maryam Fazel,2019,NIPS 2019,main,Poster,,,0,0.460,0.223,,https://nips.cc/virtual/2019/poster/13817,https://papers.nips.cc/paper_files/paper/2019/file/24e01830d213d75deb99c22b9cd91ddd-Paper.pdf,offline_nips,,"We consider minimizing a nonconvex, smooth function $f$ on a Riemannian manifold $\mathcal{M}$. We show that a perturbed version of the gradient descent algorithm converges to a second-order stationary point for this problem (and hence is able to escape saddle points on the manifold). While the unco"
17,2022.findings-acl.184,Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold,Sebastian Ruder; Ivan Vulić; Anders Søgaard,2022,ACL 2022,main,Findings,,,0,0.453,0.262,,https://aclanthology.org/2022.findings-acl.184/,https://aclanthology.org/2022.findings-acl.184.pdf,offline_acl,,"The prototypical NLP experiment trains a standard architecture on labeled English data and optimizes for accuracy, without accounting for other dimensions such as fairness, interpretability, or computational efficiency. We show through a manual classification of recent NLP research papers that this "
18,paper375,Diffusion Variational Autoencoders,Luis A. Perez Rey; Vlado Menkovski; Jim Portegies,2020,IJCAI 2020,main,Poster,Machine Learning,Machine Learning: Bayesian Optimization; Machine Learning: Deep Generative Models; Machine Learning: Dimensionality Reduction and Manifold Learning,0,0.438,0.216,,https://www.ijcai.org/proceedings/2020/375,https://www.ijcai.org/proceedings/2020/0375.pdf,offline_ijcai,,"A standard Variational Autoencoder, with a Euclidean latent space, is structurally incapable of capturing topological properties of certain datasets. To remove topological obstructions, we introduce Diffusion Variational Autoencoders (DeltaVAE) with arbitrary (closed) manifolds as a latent space. A "
19,2022.emnlp-main.443,Textual Manifold-based Defense Against Natural Language Adversarial Examples,Dang Nguyen Minh; Anh Tuan Luu,2022,EMNLP 2022,main,Main,,,0,0.408,0.263,,https://aclanthology.org/2022.emnlp-main.443/,https://aclanthology.org/2022.emnlp-main.443.pdf,offline_emnlp,,"Despite the recent success of large pretrained language models in NLP, they are susceptible to adversarial examples. Concurrently, several studies on adversarial images have observed an intriguing property: the adversarial images tend to leave the low-dimensional natural data manifold. In this study"
20,paper312,Batch Decorrelation for Active Metric Learning,Priyadarshini Kumari; Ritesh Goru; Siddhartha Chaudhuri; Subhasis Chaudhuri,2020,IJCAI 2020,main,Poster,Machine Learning,Machine Learning: Active Learning; Machine Learning: Dimensionality Reduction and Manifold Learning; Machine Learning: Learning Preferences or Rankings,0,0.408,0.202,,https://www.ijcai.org/proceedings/2020/312,https://www.ijcai.org/proceedings/2020/0312.pdf,offline_ijcai,,"We present an active learning strategy for training parametric models of distance metrics, given triplet-based similarity assessments: object $x_i$ is more similar to object $x_j$ than to $x_k$. In contrast to prior work on class-based learning, where the fundamental goal is classification and any i"
21,paper453,Tight Convergence Rate of Gradient Descent for Eigenvalue Computation,Qinghua Ding; Kaiwen Zhou; James Cheng,2020,IJCAI 2020,main,Poster,Machine Learning,Machine Learning: Dimensionality Reduction and Manifold Learning,0,0.403,0.201,,https://www.ijcai.org/proceedings/2020/453,https://www.ijcai.org/proceedings/2020/0453.pdf,offline_ijcai,,"Riemannian gradient descent (RGD) is a simple, popular and efficient algorithm for leading eigenvector computation [AMS08]. However, the existing analysis of RGD for eigenproblem is still not tight, which is O(log(n/epsilon)/Delta^2) due to [Xu et al., 2018]. In this paper, we show that RGD in fact "
22,ghhKZ0NaQN,DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration,Hebaixu Wang; Jing Zhang; Haonan Guo; Di Wang; Jiayi Ma,2025,NIPS 2025,main,Poster,deep_learning,Image restoration;diffusion generalist solver;universal posterior sampling;deep learning,0,0.384,0.301,,https://openreview.net/forum?id=ghhKZ0NaQN,,offline_nips,,"Diffusion models have achieved remarkable progress in universal image restoration. However, existing methods perform naive inference in the reverse process, which leads to cumulative errors under limited sampling steps and large step intervals. Moreover, they struggle to balance the commonality of d"
23,paper319,DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction,Alexander Schulz; Fabian Hinder; Barbara Hammer,2020,IJCAI 2020,main,Poster,Machine Learning,Machine Learning: Explainable Machine Learning; Machine Learning: Dimensionality Reduction and Manifold Learning; Machine Learning: Deep Learning; Machine Learning: Interpretability,0,0.384,0.195,,https://www.ijcai.org/proceedings/2020/319,https://www.ijcai.org/proceedings/2020/0319.pdf,offline_ijcai,,"Machine learning algorithms using deep architectures have been able to implement increasingly powerful and successful models. However, they also become increasingly more complex, more difficult to comprehend and easier to fool. So far, most methods in the literature investigate the decision of the m"
24,14444,Riemannian batch normalization for SPD neural networks,Daniel Brooks; Olivier Schwander; Frederic Barbaresco; Jean-Yves Schneider; Matthieu Cord,2019,NIPS 2019,main,Poster,,,0,0.384,0.189,,https://nips.cc/virtual/2019/poster/14444,https://papers.nips.cc/paper_files/paper/2019/file/6e69ebbfad976d4637bb4b39de261bf7-Paper.pdf,offline_nips,,"Covariance matrices have attracted attention for machine learning applications due
to their capacity to capture interesting structure in the data. The main challenge
is that one needs to take into account the particular geometry of the Riemannian
manifold of symmetric positive definite (SPD) matrice"
25,RAC3ng3TSN,Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees,Steffen Schotthöfer; M. Paul Laiu,2025,ICLR 2025,main,Reject,optimization,Federated Learning;Low-Rank;Model Compression;Efficient Federated Learning,0,0.383,0.300,,https://openreview.net/forum?id=RAC3ng3TSN,,offline_iclr,,We propose a federated dynamical low-rank training (FeDLRT) scheme to reduce client compute and communication costs - two significant performance bottlenecks in horizontal federated learning. Our method builds upon dynamical low-rank splitting schemes for manifold-constrained optimization to create 
26,61jN0L0aoJ,Beyond Minimax: Structure-Aware Learning for Differential Games,,2026,ICLR 2026,main,Active,"neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.)",pursuit-evasion game;calculus of variations;pontryagin's maximum principle,0,0.381,0.320,,https://openreview.net/forum?id=61jN0L0aoJ,,offline_iclr,,"A central challenge in artificial intelligence is to design agents that solve structured engineering problems, such as zero-sum differential games, without handcrafted solutions or expert demonstrations. Differential games capture multi-agent interactions with opposing objectives, where optimal stra"
27,paper193,Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose,Yichen Zhang; Jiehong Lin; Ke Chen; Zelin Xu; Yaowei Wang,2023,IJCAI 2023,main,Poster,Computer Vision,"Computer Vision: CV: 3D computer vision; Computer Vision: CV: Transfer, low-shot, semi- and un- supervised learning",0,0.380,0.264,,https://www.ijcai.org/proceedings/2023/193,https://www.ijcai.org/proceedings/2023/0193.pdf,offline_ijcai,,"Domain gap between synthetic and real data in visual regression (e.g., 6D pose estimation) is bridged in this paper via global feature alignment and local refinement on the coarse classification of discretized anchor classes in target space, which imposes a piece-wise target manifold regularization "
28,paper447,CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network,Jie Wen; Zheng Zhang; Yong Xu; Bob Zhang; Lunke Fei,2020,IJCAI 2020,main,Poster,Machine Learning,"Machine Learning: Deep Learning; Machine Learning: Dimensionality Reduction and Manifold Learning; Data Mining: Clustering, Unsupervised Learning",0,0.377,0.193,,https://www.ijcai.org/proceedings/2020/447,https://www.ijcai.org/proceedings/2020/0447.pdf,offline_ijcai,,"In recent years, incomplete multi-view clustering, which studies the challenging multi-view clustering problem on missing views, has received growing research interests. Although a series of methods have been proposed to address this issue, the following problems still exist: 1) Almost all of the ex"
29,2023.acl-long.236,Distilling Script Knowledge from Large Language Models for Constrained Language Planning,Siyu Yuan; Jiangjie Chen; Ziquan Fu; Xuyang Ge; Soham Shah,2023,ACL 2023,main,Long,,,0,0.372,0.265,,https://aclanthology.org/2023.acl-long.236/,https://aclanthology.org/2023.acl-long.236.pdf,offline_acl,,"In everyday life, humans often plan their actions by following step-by-step instructions in the form of goal-oriented scripts. Previous work has exploited language models (LMs) to plan for abstract goals of stereotypical activities (e.g., “make a cake”), but leaves more specific goals with multi-fac"
30,CxUuCydMDU,Diffusion Probabilistic Models for Structured Node Classification,Hyosoon Jang; Seonghyun Park; Sangwoo Mo; Sungsoo Ahn,2023,NIPS 2023,main,Poster,,diffusion model;graph neural network;structured prediction;node classification,0,0.369,0.256,,https://nips.cc/virtual/2023/poster/72405,https://openreview.net/pdf?id=CxUuCydMDU,offline_nips,,"This paper studies structured node classification on graphs, where the predictions should consider dependencies between the node labels. In particular, we focus on solving the problem for partially labeled graphs where it is essential to incorporate the information in the known label for predicting "
31,2022.emnlp-industry.48,CGF: Constrained Generation Framework for Query Rewriting in Conversational AI,Jie Hao; Yang Liu; Xing Fan; Saurabh Gupta; Saleh Soltan,2022,EMNLP 2022,main,Industry,,,0,0.366,0.240,,https://aclanthology.org/2022.emnlp-industry.48/,https://aclanthology.org/2022.emnlp-industry.48.pdf,offline_emnlp,,"In conversational AI agents, Query Rewriting (QR) plays a crucial role in reducing user frictions and satisfying their daily demands. User frictions are caused by various reasons, such as errors in the conversational AI system, users’ accent or their abridged language. In this work, we present a nov"
32,2024.acl-short.23,Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access,Saibo Geng; Berkay Döner; Chris Wendler; Martin Josifoski; Robert West,2024,ACL 2024,main,Short,,,0,0.365,0.280,,https://aclanthology.org/2024.acl-short.23/,https://aclanthology.org/2024.acl-short.23.pdf,offline_acl,,"Constrained decoding, a technique for enforcing constraints on language model outputs, offers a way to control text generation without retraining or architectural modifications. Its application is, however, typically restricted to models that give users access to next-token distributions (usually vi"
33,4PPT1An0kY,Self-Ensemble of $N$-best Generation Hypotheses by Lexically Constrained Decoding,Ryota Miyano; Tomoyuki Kajiwara; Yuki Arase,2023,EMNLP 2023,main,Short Main,,Reranking;Lexically Constrained Decoding;Generation,0,0.363,0.254,,https://openreview.net/forum?id=4PPT1An0kY,,offline_emnlp,,"We propose a method that ensembles $N$-best hypotheses to improve natural language generation. 
Previous studies have achieved notable improvements in generation quality by explicitly reranking $N$-best candidates. 
These studies assume that there exists a hypothesis of higher quality. 
We expand th"
34,ayoGdkXi4V,Lazy-k Decoding: Constrained Decoding for Information Extraction,Arthur Hemmer; Mickael Coustaty; Nicola Bartolo; Jerome Brachat; Jean-marc Ogier,2023,EMNLP 2023,main,Long Main,,structured prediction;constrained decoding;token classification;information extraction;beam search,0,0.361,0.257,,https://openreview.net/forum?id=ayoGdkXi4V,,offline_emnlp,,"We explore the possibility of improving probabilistic models in structured prediction. Specifically, we combine the models with constrained decoding approaches in the context of token classification for information extraction. The decoding methods search for constraint-satisfying label-assignments w"
35,2023.acl-long.640,Constrained Tuple Extraction with Interaction-Aware Network,Xiaojun Xue; Chunxia Zhang; Tianxiang Xu; Zhendong Niu,2023,ACL 2023,main,Long,,,0,0.360,0.257,,https://aclanthology.org/2023.acl-long.640/,https://aclanthology.org/2023.acl-long.640.pdf,offline_acl,,"Tuples extraction is a fundamental task for information extraction and knowledge graph construction. The extracted tuples are usually represented as knowledge triples consisting of subject, relation, and object. In practice, however, the validity of knowledge triples is associated with and changes w"
36,2023.acl-long.403,Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text,Qianhui Wu; Huiqiang Jiang; Haonan Yin; Börje Karlsson; Chin-Yew Lin,2023,ACL 2023,main,Long,,,0,0.360,0.253,,https://aclanthology.org/2023.acl-long.403/,https://aclanthology.org/2023.acl-long.403.pdf,offline_acl,,"Self-supervised representation learning has proved to be a valuable component for out-of-distribution (OoD) detection with only the texts of in-distribution (ID) examples. These approaches either train a language model from scratch or fine-tune a pre-trained language model using ID examples, and the"
37,2022.acl-long.56,Constrained Multi-Task Learning for Bridging Resolution,Hideo Kobayashi; Yufang Hou; Vincent Ng,2022,ACL 2022,main,Long,,,0,0.359,0.235,,https://aclanthology.org/2022.acl-long.56/,https://aclanthology.org/2022.acl-long.56.pdf,offline_acl,,"We examine the extent to which supervised bridging resolvers can be improved without employing additional labeled bridging data by proposing a novel constrained multi-task learning framework for bridging resolution, within which we (1) design cross-task consistency constraints to guide the learning "
38,2025.acl-long.56,BIPro: Zero-shot Chinese Poem Generation via Block Inverse Prompting Constrained Generation Framework,Xu Zou,2025,ACL 2025,main,Long,,,0,0.359,0.297,,https://aclanthology.org/2025.acl-long.56/,https://aclanthology.org/2025.acl-long.56.pdf,offline_acl,,"Recently, generative pre-trained models have made significant strides, particularly highlighted by the release of ChatGPT and GPT-4, which exhibit superior cross-domain capabilities. However, these models still face challenges on constrained writing tasks like poem generation under open-domain title"
39,paper841,Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences,Alexandre Bonlarron; Jean-Charles Régin,2024,IJCAI 2024,"AI, Arts & Creativity",Poster,,"Application domains: Problem Solving; Application domains: Text, literature and creative language; Methods and resources: Techniques for combining fast inference and problem solving",0,0.358,0.282,,https://www.ijcai.org/proceedings/2024/841,https://www.ijcai.org/proceedings/2024/0841.pdf,offline_ijcai,,"Constrained text generation remains a challenging task, particularly when dealing with hard constraints. Traditional Natural Language Processing (NLP) approaches prioritize generating meaningful and coherent output. Also, the current state-of-the-art methods often lack the expressiveness and constra"
40,2021.acl-long.311,End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages,Josef Jon; João Paulo Aires; Dusan Varis; Ondřej Bojar,2021,ACL 2021,main,Long,,,0,0.358,0.217,,https://aclanthology.org/2021.acl-long.311/,https://aclanthology.org/2021.acl-long.311.pdf,offline_acl,,"Lexically constrained machine translation allows the user to manipulate the output sentence by enforcing the presence or absence of certain words and phrases. Although current approaches can enforce terms to appear in the translation, they often struggle to make the constraint word form agree with t"
41,paper610,End-to-End Constrained Optimization Learning: A Survey,James Kotary; Ferdinando Fioretto; Pascal Van Hentenryck; Bryan Wilder,2021,IJCAI 2021,Survey Track,Poster,,Constraints and SAT: General; Machine learning: General,0,0.356,0.215,,https://www.ijcai.org/proceedings/2021/610,https://www.ijcai.org/proceedings/2021/0610.pdf,offline_ijcai,,"This paper surveys the recent attempts at leveraging machine learning to solve constrained optimization problems. It focuses on surveying the work on integrating combinatorial solvers and optimization methods with machine learning architectures. 
These approaches hold the promise to develop new hyb"
42,2023.acl-long.21,SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres,Shumin Deng; Shengyu Mao; Ningyu Zhang; Bryan Hooi,2023,ACL 2023,main,Long,,,0,0.355,0.249,,https://aclanthology.org/2023.acl-long.21/,https://aclanthology.org/2023.acl-long.21.pdf,offline_acl,,"Event-centric structured prediction involves predicting structured outputs of events. In most NLP cases, event structures are complex with manifold dependency, and it is challenging to effectively represent these complicated structured events. To address these issues, we propose Structured Predictio"
43,2022.emnlp-main.792,Topic Modeling With Topological Data Analysis,Ciarán Byrne; Danijela Horak; Karo Moilanen; Amandla Mabona,2022,EMNLP 2022,main,Main,,,0,0.352,0.231,,https://aclanthology.org/2022.emnlp-main.792/,https://aclanthology.org/2022.emnlp-main.792.pdf,offline_emnlp,,"Recent unsupervised topic modelling ap-proaches that use clustering techniques onword, token or document embeddings can ex-tract coherent topics. A common limitationof such approaches is that they reveal noth-ing about inter-topic relationships which areessential in many real-world application do-ma"
44,paper754,Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract),Jingtao Zhan; Jiaxin Mao; Yiqun Liu; Jiafeng Guo; Min Zhang,2022,IJCAI 2022,Sister Conferences Best Papers,Poster,,Artificial Intelligence: General,0,0.352,0.235,,https://www.ijcai.org/proceedings/2022/754,https://www.ijcai.org/proceedings/2022/0754.pdf,offline_ijcai,,"Dense Retrieval (DR) has achieved state-of-the-art first-stage ranking effectiveness. However, the efficiency of most existing DR models is limited by the large memory cost of storing dense vectors and the time-consuming nearest neighbor search (NNS) in vector space. Therefore, we present RepCONC, a"
45,2021.emnlp-main.681,Parallel Refinements for Lexically Constrained Text Generation with BART,Xingwei He,2021,EMNLP 2021,main,Main,,,0,0.351,0.214,,https://aclanthology.org/2021.emnlp-main.681/,https://aclanthology.org/2021.emnlp-main.681.pdf,offline_emnlp,,"Lexically constrained text generation aims to control the generated text by incorporating certain pre-specified keywords into the output. Previous work injects lexical constraints into the output by controlling the decoding process or refining the candidate output iteratively, which tends to generat"
46,2022.findings-emnlp.378,Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks,Vikas Raunak; Arul Menezes,2022,EMNLP 2022,main,finding,,,0,0.351,0.233,,https://aclanthology.org/2022.findings-emnlp.378/,https://aclanthology.org/2022.findings-emnlp.378.pdf,offline_emnlp,,"Memorization presents a challenge for several constrained Natural Language Generation (NLG) tasks such as Neural Machine Translation (NMT), wherein the proclivity of neural models to memorize noisy and atypical samples reacts adversely with the noisy (web crawled) datasets. However, previous studies"
47,paper161,Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting,Gaoang Wang; Mingli Song,2023,IJCAI 2023,main,Poster,Computer Vision,"Computer Vision: CV: Biometrics, face, gesture and pose recognition",0,0.350,0.254,,https://www.ijcai.org/proceedings/2023/161,https://www.ijcai.org/proceedings/2023/0161.pdf,offline_ijcai,,"Human pose forecasting is a sequential modeling task that aims to predict future poses from historical motions. Most existing approaches focus on the spatial-temporal neural network model design for learning movement patterns to reduce prediction errors. However, they usually do not strictly follow "
48,paper437,Semi-supervised Clustering via Pairwise Constrained Optimal Graph,Feiping Nie; Han Zhang; Rong Wang; Xuelong Li,2020,IJCAI 2020,main,Poster,Machine Learning,Machine Learning: Semi-Supervised Learning; Machine Learning: Clustering,0,0.349,0.192,,https://www.ijcai.org/proceedings/2020/437,https://www.ijcai.org/proceedings/2020/0437.pdf,offline_ijcai,,"In this paper, we present a technique of definitely addressing the pairwise constraints in the semi-supervised clustering. Our method contributes to formulating the cannot-link relations and propagating them over the affinity graph flexibly. The pairwise constrained instances are provably guaranteed"
49,2021.emnlp-main.779,PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models,Torsten Scholak; Nathan Schucher; Dzmitry Bahdanau,2021,EMNLP 2021,main,Main,,,0,0.346,0.209,,https://aclanthology.org/2021.emnlp-main.779/,https://aclanthology.org/2021.emnlp-main.779.pdf,offline_emnlp,,"Large pre-trained language models for textual data have an unconstrained output space; at each decoding step, they can produce any of 10,000s of sub-word tokens. When fine-tuned to target constrained formal languages like SQL, these models often generate invalid code, rendering it unusable. We propo"
50,2022.emnlp-main.240,A Template-based Method for Constrained Neural Machine Translation,Shuo Wang; Peng Li; Zhixing Tan; Zhaopeng Tu; Maosong Sun,2022,EMNLP 2022,main,Main,,,0,0.344,0.231,,https://aclanthology.org/2022.emnlp-main.240/,https://aclanthology.org/2022.emnlp-main.240.pdf,offline_emnlp,,"Machine translation systems are expected to cope with various types of constraints in many practical scenarios. While neural machine translation (NMT) has achieved strong performance in unconstrained cases, it is non-trivial to impose pre-specified constraints into the translation process of NMT mod"
51,paper347,Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes,Aria HasanzadeZonuzy; Dileep Kalathil; Srinivas Shakkottai,2021,IJCAI 2021,main,Poster,Machine Learning,Machine Learning: Reinforcement Learning; Planning and Scheduling: Markov Decisions Processes,0,0.343,0.211,,https://www.ijcai.org/proceedings/2021/347,https://www.ijcai.org/proceedings/2021/0347.pdf,offline_ijcai,,"In many real-world reinforcement learning (RL) problems, in addition to maximizing the  objective, the learning agent has to  maintain some necessary safety constraints.  We formulate the problem of learning a safe policy as  an  infinite-horizon discounted Constrained Markov Decision Process (CMDP)"
52,paper21,Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control,Yang Qu; Jinming Ma; Feng Wu,2024,IJCAI 2024,main,Poster,Agent-based and Multi-agent Systems,Agent-based and Multi-agent Systems: MAS: Applications; Machine Learning: ML: Multiagent Reinforcement Learning; Agent-based and Multi-agent Systems: MAS: Coordination and cooperation; Agent-based and Multi-agent Systems: MAS: Multi-agent learning,0,0.342,0.274,,https://www.ijcai.org/proceedings/2024/21,https://www.ijcai.org/proceedings/2024/0021.pdf,offline_ijcai,,"Active voltage control presents a promising avenue for relieving power congestion and enhancing voltage quality, taking advantage of the distributed controllable generators in the power network, such as roof-top photovoltaics. While Multi-Agent Reinforcement Learning (MARL) has emerged as a compelli"
53,2024.findings-emnlp.643,DictDis: Dictionary Constrained Disambiguation for Improved NMT,Ayush Maheshwari; Preethi Jyothi; Ganesh Ramakrishnan,2024,EMNLP 2024,main,finding,,,0,0.341,0.270,,https://aclanthology.org/2024.findings-emnlp.643/,https://aclanthology.org/2024.findings-emnlp.643.pdf,offline_emnlp,,"Domain-specific neural machine translation (NMT) systems (, in educational applications) are socially significant with the potential to help make information accessible to a diverse set of users in multilingual societies. Such NMT systems should be lexically constrained and draw from domain-specific"
54,2025.acl-long.1229,Language Constrained Multimodal Hyper Adapter For Many-to-Many Multimodal Summarization,Nayu Liu; Fanglong Yao; Haoran Luo; Yong Yang; Chen Tang,2025,ACL 2025,main,Long,,,0,0.341,0.301,,https://aclanthology.org/2025.acl-long.1229/,https://aclanthology.org/2025.acl-long.1229.pdf,offline_acl,,"Multimodal summarization (MS) combines text and visuals to generate summaries. Recently, many-to-many multimodal summarization (M3S) garnered interest as it enables a unified model for multilingual and cross-lingual MS. Existing methods have made progress by facilitating the transfer of common multi"
55,paper665,Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables,Frank Neumann; Carsten Witt,2022,IJCAI 2022,main,Poster,Search,Search: Evolutionary Computation,0,0.340,0.231,,https://www.ijcai.org/proceedings/2022/665,https://www.ijcai.org/proceedings/2022/0665.pdf,offline_ijcai,,"Chance constrained optimization problems allow to model problems where constraints involving stochastic components should only be violated with a small probability. Evolutionary algorithms have been applied to this scenario and shown to achieve high quality results. With this paper, we contribute to"
56,QQqDBRRslp,Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction,Yisen Gao; Xingcheng Fu; Qingyun Sun; Jianxin Li; Xianxian LI,2025,NIPS 2025,main,Poster,deep_learning,Graph Generation;Hyperbolic Graph Learning;Riemannian Manifold;Graph Learning,0,0.340,0.300,,https://openreview.net/forum?id=QQqDBRRslp,,offline_nips,,"Graph diffusion models have made significant progress in learning structured graph data and have demonstrated strong potential for predictive tasks. Existing approaches typically embed node, edge, and graph-level features into a unified latent space, modeling prediction tasks including classificatio"
57,2025.findings-acl.1377,A Constrained Text Revision Agent via Iterative Planning and Searching,Hannan Cao; Hwee Tou Ng,2025,ACL 2025,main,finding,,,0,0.340,0.287,,https://aclanthology.org/2025.findings-acl.1377/,https://aclanthology.org/2025.findings-acl.1377.pdf,offline_acl,,"Existing text revision systems are capable of generating fluent and coherent text, but struggle with constrained text revision (CTR), which requires adherence to specific constraints. Furthermore, adapting these systems to diverse constraints is challenging. To bridge this gap, we introduce TRIPS, a"
58,2022.emnlp-main.144,Gradient-based Constrained Sampling from Language Models,Sachin Kumar; Biswajit Paria; Yulia Tsvetkov,2022,EMNLP 2022,main,Main,,,0,0.339,0.228,,https://aclanthology.org/2022.emnlp-main.144/,https://aclanthology.org/2022.emnlp-main.144.pdf,offline_emnlp,,"Large pretrained language models are successful at generating fluent text but are notoriously hard to controllably sample from. In this work, we study constrained sampling from such language models, i.e., generating text that satisfies user-defined constraints, while maintaining fluency and model’s "
59,2021.acl-short.94,Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction,Gyubok Lee; Seongjun Yang; Edward Choi,2021,ACL 2021,main,Short,,,0,0.339,0.207,,https://aclanthology.org/2021.acl-short.94/,https://aclanthology.org/2021.acl-short.94.pdf,offline_acl,,"Accurate terminology translation is crucial for ensuring the practicality and reliability of neural machine translation (NMT) systems. To address this, lexically constrained NMT explores various methods to ensure pre-specified words and phrases appear in the translation output. However, in many case"
60,2022.findings-acl.111,Effective Unsupervised Constrained Text Generation based on Perturbed Masking,Yingwen Fu; Wenjie Ou; Zhou Yu; Yue Lin,2022,ACL 2022,main,Findings,,,0,0.338,0.227,,https://aclanthology.org/2022.findings-acl.111/,https://aclanthology.org/2022.findings-acl.111.pdf,offline_acl,,"Unsupervised constrained text generation aims to generate text under a given set of constraints without any supervised data. Current state-of-the-art methods stochastically sample edit positions and actions, which may cause unnecessary search steps. In this paper, we propose PMCTG to improve effecti"
61,DsEhqQtfAG,Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems,Hyungjin Chung; Suhyeon Lee; Jong Chul Ye,2024,ICLR 2024,main,Poster,generative models,Diffusion models; Inverse problems; Krylov subspace,0,0.338,0.266,,https://iclr.cc/virtual/2024/poster/19121,https://openreview.net/pdf?id=DsEhqQtfAG,offline_iclr,,"Krylov subspace, which is generated by multiplying a given vector by the matrix of a linear transformation and its successive powers,  has been extensively studied in classical optimization literature to design algorithms that converge quickly for large linear inverse problems. For example, the conj"
62,paper209,Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata,Filippo Bistaffa,2023,IJCAI 2023,main,Poster,Constraint Satisfaction and Optimization,Constraint Satisfaction and Optimization: CSO: Constraint optimization; Uncertainty in AI: UAI: Graphical models,0,0.337,0.248,,https://www.ijcai.org/proceedings/2023/209,https://www.ijcai.org/proceedings/2023/0209.pdf,offline_ijcai,,We propose a concise function representation based on deterministic finite state automata for exact most probable explanation and constrained optimization tasks in graphical models. We then exploit our concise representation within Bucket Elimination (BE). We denote our version of BE as FABE. FABE s
63,paper104,Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw,Yuqi Huo; Mingyu Ding; Haoyu Lu; Ziyuan Huang; Mingqian Tang,2021,IJCAI 2021,main,Poster,Computer Vision I,Computer Vision: Action Recognition; Machine Learning: Unsupervised Learning,0,0.337,0.208,,https://www.ijcai.org/proceedings/2021/104,https://www.ijcai.org/proceedings/2021/0104.pdf,offline_ijcai,,This paper proposes a novel pretext task for self-supervised video representation learning by exploiting spatiotemporal continuity in videos. It is motivated by the fact that videos are spatiotemporal by nature and a representation learned by detecting spatiotemporal continuity/discontinuity is thus
64,2025.findings-acl.511,A Cognitive Writing Perspective for Constrained Long-Form Text Generation,Kaiyang Wan; Honglin Mu; Rui Hao; Haoran Luo; Tianle Gu,2025,ACL 2025,main,finding,,,0,0.337,0.287,,https://aclanthology.org/2025.findings-acl.511/,https://aclanthology.org/2025.findings-acl.511.pdf,offline_acl,,"Like humans, Large Language Models (LLMs) struggle to generate high-quality long-form text that adheres to strict requirements in a single pass. This challenge is unsurprising, as successful human writing, according to the Cognitive Writing Theory, is a complex cognitive process involving iterative "
65,2023.findings-acl.673,Disambiguated Lexically Constrained Neural Machine Translation,Jinpeng Zhang; Nini Xiao; Ke Wang; Chuanqi Dong; Xiangyu Duan,2023,ACL 2023,main,Findings,,,0,0.337,0.246,,https://aclanthology.org/2023.findings-acl.673/,https://aclanthology.org/2023.findings-acl.673.pdf,offline_acl,,"Lexically constrained neural machine translation (LCNMT), which controls the translation generation with pre-specified constraints, is important in many practical applications. Current approaches to LCNMT typically assume that the pre-specified lexicon constraints are contextually appropriate. This "
66,paper396,Constrained Policy Improvement for Efficient Reinforcement Learning,Elad Sarafian; Aviv Tamar; Sarit Kraus,2020,IJCAI 2020,main,Poster,Machine Learning,Machine Learning: Reinforcement Learning; Machine Learning: Deep Reinforcement Learning,0,0.336,0.187,,https://www.ijcai.org/proceedings/2020/396,https://www.ijcai.org/proceedings/2020/0396.pdf,offline_ijcai,,We propose a policy improvement algorithm for Reinforcement Learning (RL) termed Rerouted Behavior Improvement (RBI). RBI is designed to take into account the evaluation errors of the Q-function. Such errors are common in RL when learning the Q-value from finite experience data. Greedy policies or e
67,,Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification,Cui-Na Jiao; Ying-Lian Gao; Na Yu; Jin-Xing Liu; Lianyong Qi,2020,IEEE journal of biomedical and health informatics,,,,,46,0.000,0.143,10.1109/JBHI.2020.2975199,https://www.semanticscholar.org/paper/f68b6e6c27a63f965cd6612cfd67acf1b40d3b5b,,semantic_scholar,,"Non-negative Matrix Factorization (NMF) is a dimensionality reduction approach for learning a parts-based and linear representation of non-negative data. It has attracted more attention because of that. In practice, NMF not only neglects the manifold structure of data samples, but also overlooks the"
68,,Ground states for the planar NLSE with a point defect as minimizers of the constrained energy,R. Adami; F. Boni; R. Carlone; L. Tentarelli,2021,Calculus of Variations and Partial Differential Equations,,,,,32,0.000,0.120,10.1007/s00526-022-02310-8,https://www.semanticscholar.org/paper/a25875f86614ddf77564ca2f0be903da9dd8d583,,semantic_scholar,,"We investigate the ground states for the focusing, subcritical nonlinear Schrödinger equation with a point defect in dimension two, defined as the minimizers of the energy functional at fixed mass. We prove that ground states exist for every positive mass and show a logarithmic singularity at the de"
69,,An Ode to an ODE,K. Choromanski; Jared Davis; Valerii Likhosherstov; Xingyou Song; J. Slotine,2020,arXiv.org,,,,,32,0.000,0.101,,https://www.semanticscholar.org/paper/77774a7a123460ad58faee490d4751e8f17a7a58,,semantic_scholar,,"We present a new paradigm for Neural ODE algorithms, called ODEtoODE, where time-dependent parameters of the main flow evolve according to a matrix flow on the orthogonal group O(d). This nested system of two flows, where the parameter-flow is constrained to lie on the compact manifold, provides sta"
70,,Hyperbolic compactification of M-theory and de Sitter quantum gravity,G. Luca; E. Silverstein; G. Torroba,2021,SciPost Physics,,,,,30,0.000,0.125,10.21468/SciPostPhys.12.3.083,https://www.semanticscholar.org/paper/c389bba45638af1d627520ccaa3bf0ef217fe2cd,https://scipost.org/10.21468/SciPostPhys.12.3.083/pdf,semantic_scholar,,"We present a mechanism for accelerated expansion of the universe in the generic case of negative-curvature compactifications of M-theory, with minimal ingredients. M-theory on a hyperbolic manifold with small closed geodesics supporting Casimir energy -- along with a single classical source (7-form "
71,,The non-adiabatic nanoreactor: towards the automated discovery of photochemistry†,Elisa Pieri; Dean Lahana; Alexander M Chang; Cody R Aldaz; K. Thompson,2021,Chemical Science,,,,,24,0.000,0.127,10.1039/d1sc00775k,https://www.semanticscholar.org/paper/5968f7fd9a1e57e9fc713d17a02013297599a842,https://pubs.rsc.org/en/content/articlepdf/2021/sc/d1sc00775k,semantic_scholar,,"The ab initio nanoreactor has previously been introduced to automate reaction discovery for ground state chemistry. In this work, we present the nonadiabatic nanoreactor, an analogous framework for excited state reaction discovery. We automate the study of nonadiabatic decay mechanisms of molecules "
72,,MoDANet: Multi-Task Deep Network for Joint Automatic Modulation Classification and Direction of Arrival Estimation,Van-Sang Doan; Thien Huynh-The; Van-Phuc Hoang; Duy T. Nguyen,2022,IEEE Communications Letters,,,,,22,0.000,0.139,10.1109/lcomm.2021.3132018,https://www.semanticscholar.org/paper/816c248b74fbd8db43a85747dde57beedab2dbaf,,semantic_scholar,,"In this letter, a multi-task deep convolutional neural network, namely MoDANet, is proposed to perform modulation classification and DOA estimation simultaneously. In particular, the network architecture is designed with multiple residual modules, which tackle the vanishing gradient problem. The mul"
73,,SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization,Songtao Lu,2023,Neural Information Processing Systems,,,,,19,0.000,0.161,,https://www.semanticscholar.org/paper/245e67d4acd761b1d5b82bd5279803a48831c1bf,,semantic_scholar,,
74,,ProxNLP: a primal-dual augmented Lagrangian solver for nonlinear programming in Robotics and beyond,Wilson Jallet; Antoine Bambade; N. Mansard; Justin Carpentier,2022,arXiv.org,,,,,18,0.000,0.148,10.48550/arXiv.2210.02109,https://www.semanticscholar.org/paper/9a59529464edf5dc477afd2dcce76b892b2964f1,http://arxiv.org/pdf/2210.02109,semantic_scholar,,"Mathematical optimization is the workhorse behind several aspects of modern robotics and control. In these applications, the focus is on constrained optimization, and the ability to work on manifolds (such as the classical matrix Lie groups), along with a specific requirement for robustness and spee"
75,,Using Principal Paths to Walk Through Music and Visual Art Style Spaces Induced by Convolutional Neural Networks,E. Gardini; M. Ferrarotti; A. Cavalli; S. Decherchi,2021,Cognitive Computation,,,,,16,0.000,0.120,10.1007/s12559-021-09823-y,https://www.semanticscholar.org/paper/7896c2c5e0a1734b4c69c73aeccca136f09ea433,https://link.springer.com/content/pdf/10.1007/s12559-021-09823-y.pdf,semantic_scholar,,"Computational intelligence, particularly deep learning, offers powerful tools for discriminating and generating samples such as images. Deep learning methods have been used in different artistic contexts for neural style transfer, artistic style recognition, and musical genre recognition. Using a co"
76,,Hilbert Bundles and Holographic Space–Time Models,T. Banks,2023,Astronomy,,,,,14,0.000,0.149,10.3390/astronomy4020007,https://www.semanticscholar.org/paper/671aba98f173bf3108668e4bf136331796a00171,,semantic_scholar,,"We reformulate holographic space–time models in terms of Hilbert bundles over the space of the time-like geodesics in a Lorentzian manifold. This reformulation resolves the issue of the action of non-compact isometry groups on finite-dimensional Hilbert spaces. Following Jacobson, I view the backgro"
77,,Asymptotic profiles for a nonlinear Schrödinger equation with critical combined powers nonlinearity,Shiwang Ma; Vitaly Moroz,2023,Mathematische Zeitschrift,,,,,11,0.000,0.150,10.1007/s00209-023-03271-0,https://www.semanticscholar.org/paper/9b75f0de537b0eb389208a43392d8fe2424a38cf,https://link.springer.com/content/pdf/10.1007/s00209-023-03271-0.pdf,semantic_scholar,,"We study asymptotic behaviour of positive ground state solutions of the nonlinear Schrödinger equation $$\begin{aligned} -\Delta u+u=u^{2^*-1}+\lambda u^{q-1} \quad \textrm{in}\, {\mathbb {R}}^N,\qquad \qquad \qquad \qquad \qquad {(P_\lambda )} \end{aligned}$$ - Δ u + u = u 2 ∗ - 1 + λ u q - 1 in R "
78,,Nonholonomic and constrained variational mechanics,A. D. Lewis,2020,,,,,,10,0.000,0.090,10.3934/jgm.2020013,https://www.semanticscholar.org/paper/69a2d7a0fccd5b709fe2aeedfad1e303adec446d,https://www.aimsciences.org/article/exportPdf?id=6438a283-c843-455a-9966-141eb920f0c5,semantic_scholar,,"Equations governing mechanical systems with nonholonomic constraints can be developed in two ways: (1) using the physical principles of Newtonian mechanics; (2) using a constrained variational principle. Generally, the two sets of resulting equations are not equivalent. While mechanics arises from t"
79,,The Heterotic-Ricci Flow and Its Three-Dimensional Solitons,Andrei Moroianu; And ´ANGEL J. MURCIA; C. Shahbazi; F. Mathematik,2023,Journal of Geometric Analysis,,,,,9,0.000,0.145,10.1007/s12220-024-01570-4,https://www.semanticscholar.org/paper/7a71933db091ad5805894c8d8d870fc463ff20c6,https://link.springer.com/content/pdf/10.1007/s12220-024-01570-4.pdf,semantic_scholar,,"We introduce a novel curvature flow, the Heterotic-Ricci flow, as the two-loop renormalization group flow of the Heterotic string common sector and study its three-dimensional compact solitons. The Heterotic-Ricci flow is a coupled curvature evolution flow, depending on a non-negative real parameter"
80,,Curvature of quaternionic Kähler manifolds with $$S^1$$-symmetry,V. Cort'es; A. Saha; D. Thung,2020,Manuscripta mathematica,,,,,9,0.000,0.121,10.1007/S00229-021-01294-7,https://www.semanticscholar.org/paper/08656e15d80659e26bece795a56760ad9794c44e,https://link.springer.com/content/pdf/10.1007/s00229-021-01294-7.pdf,semantic_scholar,,"We study the behavior of connections and curvature under the HK/QK correspondence, proving simple formulae expressing the Levi-Civita connection and Riemann curvature tensor on the quaternionic Kähler side in terms of the initial hyper-Kähler data. Our curvature formula refines a well-known decompos"
81,,Hypercomplex Almost Abelian Solvmanifolds,A. Andrada; M. L. Barberis,2022,Journal of Geometric Analysis,,,,,8,0.000,0.154,10.1007/s12220-023-01277-y,https://www.semanticscholar.org/paper/df98f8490831b16a07194551aabea4aa51a01b5a,,semantic_scholar,,We give a characterization of almost abelian Lie groups carrying left invariant hypercomplex structures and we show that the corresponding Obata connection is always flat. We determine when such Lie groups admit HKT metrics and study the corresponding Bismut connection. We obtain the classification 
82,,Rolling Against a Sphere The Non-transitive Case,Y. Chitour; M. Godoy; Molina Petri Kokkonen; I. Markina,2020,,,,,,8,0.000,0.083,,https://www.semanticscholar.org/paper/ff0891b332cad2eeadef90ad57e3eae4ea82dbad,,semantic_scholar,,
83,,Cortico-Cerebellar Hyper-Connections and Reduced Purkinje Cells Behind Abnormal Eyeblink Conditioning in a Computational Model of Autism Spectrum Disorder,Emiliano Trimarco; Pierandrea Mirino; Daniele Caligiore,2021,Frontiers in Systems Neuroscience,,,,,7,0.000,0.141,10.3389/fnsys.2021.666649,https://www.semanticscholar.org/paper/105dfc9dd495e4e279cc08f6ae88cfa481806c1f,https://doi.org/10.3389/fnsys.2021.666649,semantic_scholar,,Empirical evidence suggests that children with autism spectrum disorder (ASD) show abnormal behavior during delay eyeblink conditioning. They show a higher conditioned response learning rate and earlier peak latency of the conditioned response signal. The neuronal mechanisms underlying this autistic
84,,Revealing the hidden structure of disordered materials by parameterizing their local structural manifold,Thomas J. Hardin; Michael Chandross; Rahul Meena; Spencer Fajardo; Dimitris G. Giovanis,2024,Nature Communications,,,,,6,0.000,0.173,10.1038/s41467-024-48449-0,https://www.semanticscholar.org/paper/7ddf9876b5e857d2fbbb010238501dd51550e605,https://www.nature.com/articles/s41467-024-48449-0.pdf,semantic_scholar,,"Durable interest in developing a framework for the detailed structure of glassy materials has produced numerous structural descriptors that trade off between general applicability and interpretability. However, none approach the combination of simplicity and wide-ranging predictive power of the latt"
85,,Manifold learning for fMRI time-varying functional connectivity,J. Gonzalez-Castillo; Isabel S. Fernandez; K. Lam; D. Handwerker; Francisco Pereira,2023,Frontiers in Human Neuroscience,,,,,6,0.000,0.166,10.3389/fnhum.2023.1134012,https://www.semanticscholar.org/paper/71ae44f01b9201f94779f59aace871f720a77c6d,https://www.frontiersin.org/articles/10.3389/fnhum.2023.1134012/pdf,semantic_scholar,,"Whole-brain functional connectivity (FC) measured with functional MRI (fMRI) evolves over time in meaningful ways at temporal scales going from years (e.g., development) to seconds [e.g., within-scan time-varying FC (tvFC)]. Yet, our ability to explore tvFC is severely constrained by its large dimen"
86,,Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons,Qianyi Li; Cengiz Pehlevan,2020,Neural Information Processing Systems,,,,,6,0.000,0.088,,https://www.semanticscholar.org/paper/3332fe63e6088e0ac173d9c259b521ca9c72e39b,,semantic_scholar,,"Excitation-inhibition (E-I) balance is ubiquitously observed in the cortex. Recent studies suggest an intriguing link between balance on fast timescales, tight balance, and efficient information coding with spikes. We further this connection by taking a principled approach to optimal balanced networ"
87,,Hyper-holomorphic connections on vector bundles on hyper-Kähler manifolds,Francesco Meazzini; Claudio Onorati,2022,Mathematische Zeitschrift,,,,,5,0.000,0.232,10.1007/s00209-022-03176-4,https://www.semanticscholar.org/paper/23584ba7780c416c7064971241be0e1b4fcb2cae,,semantic_scholar,,"We study infinitesimal deformations of autodual and hyper-holomorphic connections on complex vector bundles on hyper-Kähler manifolds of arbitrary dimension. In particular, we describe the DG Lie algebra controlling this deformation problem. Moreover, we prove associative formality for derived endom"
88,,"Quantum Substrate Dynamics (QSD): A Relativistic Field Model of Emergent Mass, Inertia and Gravity",Michael Bush,2025,Preprints.org,,,,,5,0.000,0.182,10.20944/preprints202506.0988.v2,https://openalex.org/W4411392906,https://www.preprints.org/frontend/manuscript/724c52c071a67c93de9b5da3679bd484/download_pub,openalex,,"Quantum Substrate Dynamics (QSD) is a Lorentz-invariant, coherence-based field theory in which mass, gravity, and inertia emerge from phase-stable excitations within a conserved physical substrate. In this framework, mass appears as a coherence-locked phase lattice, inertia arises from reconfigurati"
89,,New Energy Power System Static Security and Stability Region Calculation Research Based on IPSO-RLS Hybrid Algorithm,Saniye Maihemuti; Weiqing Wang; Jiahui Wu; Haiyun Wang; Muladi Muhedaner,2022,Energies,,,,,5,0.000,0.130,10.3390/en15249655,https://www.semanticscholar.org/paper/cbe9f8f251bdd41cc74af75452f80d37df070fad,https://www.mdpi.com/1996-1073/15/24/9655/pdf?version=1671672501,semantic_scholar,,"With the rapid expansion of new energy in China, the large-scale grid connection of new energy is increasing, and the operating safety of the new energy power system is being put to the test. The static security and stability region (SSSR) with hyper-plane expression is an effective instrument for s"
90,,MODES: model-based optimization on distributed embedded systems,Junjie Shi; Jiang Bian; Jakob Richter; Kuan-Hsun Chen; J. Rahnenführer,2021,Machine-mediated learning,,,,,5,0.000,0.112,10.1007/s10994-021-06014-6,https://www.semanticscholar.org/paper/039810d9407974cad6c0c303bc5967c4ae8ae108,https://link.springer.com/content/pdf/10.1007/s10994-021-06014-6.pdf,semantic_scholar,,"The predictive performance of a machine learning model highly depends on the corresponding hyper-parameter setting. Hence, hyper-parameter tuning is often indispensable. Normally such tuning requires the dedicated machine learning model to be trained and evaluated on centralized data to obtain a per"
91,,On Ricci curvature of submanifolds in statistical manifolds of constant (quasi-constant) curvature,A. Siddiqui; M. Shahid; Jae Won Lee,2020,,,,,,5,0.000,0.106,10.3934/math.2020227,https://www.semanticscholar.org/paper/9c310b3f6d58403c66d76f3e5456a9a811d1df7c,https://doi.org/10.3934/math.2020227,semantic_scholar,,"In 1999, B. Y. Chen established a sharp inequality between the Ricci curvature and the squared mean curvature for an arbitrary Riemannian submanifold of a real space form. This inequality was extended in 2015 by M. E. Aydin et al. to the case of statistical submanifolds in a statistical manifold of "
92,,"No Minima, No Collisions: Combining Modulation and Control Barrier Function Strategies for Feasible Dynamical Collision Avoidance",Yifan Xue; Nadia Figueroa,2025,arXiv.org,,,,,4,0.000,0.192,10.48550/arXiv.2502.14238,https://www.semanticscholar.org/paper/9e252f402a62a45d310efe1391f85e19133e425a,,semantic_scholar,,"As prominent real-time safety-critical reactive control techniques, Control Barrier Function Quadratic Programs (CBF-QPs) work for control affine systems in general but result in local minima in the generated trajectories and consequently cannot ensure convergence to the goals. Contrarily, Modulatio"
93,,Nonlinear Cauchy Elasticity,Arash Yavari; Alain Goriely,2025,Archive for Rational Mechanics and Analysis,,,,,4,0.000,0.186,10.1007/s00205-025-02120-0,https://openalex.org/W4413891066,https://link.springer.com/content/pdf/10.1007/s00205-025-02120-0.pdf,openalex,,"Abstract Most theories and applications of elasticity rely on an energy function that depends on the strains from which the stresses can be derived. This is the traditional setting of Green elasticity, also known as hyper-elasticity. However, in its original form the theory of elasticity does not as"
94,,"Mock Modularity at Work, or Black Holes in a Forest",Sergei Alexandrov,2025,Entropy,,,,,3,0.000,0.181,10.3390/e27070719,https://openalex.org/W4411972976,https://www.mdpi.com/1099-4300/27/7/719/pdf?version=1751469528,openalex,,"Mock modular forms, first invented by Ramanujan, provide a beautiful generalization of the usual modular forms. In recent years, it was found that they capture the generating functions of the number of microstates of BPS black holes appearing in compactifications of string theory with 8 and 16 super"
95,,Estimating Functional Brain Networks by Low-Rank Representation With Local Constraint,Zhigang Li; Weimin Zheng; Honghong Liu; Jingyu Liu; Chang Yan,2024,IEEE transactions on neural systems and rehabilitation engineering,,,,,3,0.000,0.174,10.1109/TNSRE.2024.3355769,https://www.semanticscholar.org/paper/8f0d342861da43a0c039cbb16c33bfab55b54d5b,https://ieeexplore.ieee.org/ielx7/7333/4359219/10403846.pdf,semantic_scholar,,"The functional architecture undergoes alterations during the preclinical phase of Alzheimer’s disease. Consequently, the primary research focus has shifted towards identifying Alzheimer’s disease and its early stages by constructing a functional connectivity network based on resting-state fMRI data."
96,,Clarke Transform and Clarke Coordinates - A New Kid on the Block for State Representation of Continuum Robots,R. Grassmann; J. Burgner-Kahrs,2024,arXiv.org,,,,,3,0.000,0.168,10.48550/arXiv.2409.13826,https://www.semanticscholar.org/paper/b085d64d385554afe5b567875494a232cb6f9f9f,,semantic_scholar,,"For almost all tendon-driven continuum robots, a segment is actuated by three or four tendons constrained by its mechanical design. For both cases, methods to account for the constraints are known. However, for an arbitrary number of tendons, a disentanglement method has yet to be formulated. Motiva"
97,,A Lightweight Certificateless Signcryption Scheme based on HCC for securing Underwater Wireless Sensor Networks (UWSNs),Meenakshi Gupta; Poonam Gera; Bharavi Mishra,2023,International Conference on Security of Information and Networks,,,,,3,0.000,0.160,10.1109/SIN60469.2023.10474770,https://www.semanticscholar.org/paper/8dfa770c6dfc24568c6ae831e0e133a97b3c0c25,,semantic_scholar,,Underwater Wireless Sensor Networks (UWSNs) consist of sensor nodes deployed within bodies of water. Wireless connections and the harsh underwater environment make sensors susceptible to a variety of malevolent attacks and security concerns. The fundamental concern of the UWSN is secure and reliable
98,,Transcending Time (Feels),Jose M. Garza,2021,,,,,,3,0.000,0.105,10.30535/MTO.27.1.3,https://www.semanticscholar.org/paper/7b99ae8e00fb097955958a3e584bf4d58bc3dcaa,https://mtosmt.org/issues/mto.21.27.1/mto.21.27.1.garza.pdf,semantic_scholar,,"Over the past fifteen years, much of the music-theoretical scholarship on heavy metal has addressed metric processes (Lucas 2019, Capuzzo 2018, Hannan 2018, Lucas 2018, Lennard 2016, Smialek 2008, Pieslak 2007) and the use of the voice (Smialek 2017, Young 2018). A significant portion of the literat"
99,,Cognitive Computing Continuum: State-of-the-Art Review and ENACT Vision & Approach,Ioanna Angeliki Kapetanidou; Alexandros Nizamis; Efstathios Karanastasis; Gabriel-Mihail Danciu; Clara Isabel Valero López,2025,Journal of Grid Computing,,,,,2,0.000,0.189,10.1007/s10723-025-09810-9,https://openalex.org/W4413129303,https://link.springer.com/content/pdf/10.1007/s10723-025-09810-9.pdf,openalex,,"Abstract The evolution from the Edge-Cloud Continuum to the Cognitive Computing Continuum (CCC) has introduced new challenges which necessitate advanced frameworks that integrate cognitive capabilities to enhance interoperability, adaptability, and resource efficiency. Considering insights from ongo"
100,,"Kalb-Ramond field, black holes and black strings in (2 + 1)D",Meseret Asrat,2025,Journal of High Energy Physics,,,,,2,0.000,0.181,10.1007/jhep08(2025)135,https://openalex.org/W4413471887,https://link.springer.com/content/pdf/10.1007/JHEP08(2025)135.pdf,openalex,,"A bstract New rotating dilaton black hole and black string solutions in three spacetime dimensions are obtained. The solutions are asymptotically flat and, they are exact in classical string theory. The black hole solutions have only a single horizon. Enclosed inside their horizons, they contain a c"
101,,Codepoietic Generation of Meaningful Information in the Evolving Biosphere,Abir U. Igamberdiev,2025,Entropy,,,,,2,0.000,0.181,10.3390/e27070672,https://openalex.org/W4411607412,https://www.mdpi.com/1099-4300/27/7/672/pdf?version=1750738707,openalex,,"Meaningful information represents reality in its potential form, and its actualization increases the system’s negentropy. Biological evolution leads to the expansion of meaningful information by generating new coding systems (codepoiesis). Through this expansion, any evolutionary change obtains func"
102,,Hyper-graph regularized subspace clustering with skip connections for band selection of hyperspectral image,Meng Zeng; Bin Ning; Qiong Gu; Chunyang Hu; Shuijia Li,2022,Computer Science and Information Systems,,,,,2,0.000,0.159,10.2298/csis210830005z,https://www.semanticscholar.org/paper/280a90ebc45e900fd837290bd7f868c37dc04f9c,http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142200005Z,semantic_scholar,,"The Hughes phenomenon of Hyperspectral images (HSIs) with the hundreds of
 continuous narrow bands makes the computational cost of HSIs process ing
 high. Band selection is an effective way to solve such a problem and a lot
 of band selection methods have been proposed in recent years. In this paper"
103,,Coriolis Factorizations and their Connections to Riemannian Geometry,Patrick M. Wensing; Johannes Englsberger; Jean-Jacques E. Slotine,2023,arXiv.org,,,,,2,0.000,0.158,10.48550/arXiv.2312.14425,https://www.semanticscholar.org/paper/4aeccd0f9f21f06a686422b3ef0c52455ca48a20,,semantic_scholar,,"Many energy-based control strategies for mechanical systems require the choice of a Coriolis factorization satisfying a skew-symmetry property. This paper (a) explores if and when a control designer has flexibility in this choice, (b) develops a canonical choice related to the Christoffel symbols, a"
104,,Regularity of CR maps into uniformly pseudo convex hyper surfaces and applications to proper holomorphic maps,Josef Greilhuber; B. Lamel,2022,ANNALI SCUOLA NORMALE SUPERIORE - CLASSE DI SCIENZE,,,,,2,0.000,0.137,10.2422/2036-2145.202105_009,https://www.semanticscholar.org/paper/076fb2e5f9317a8551e59d2beb7a1c0939f083e4,https://arxiv.org/pdf/2302.14016,semantic_scholar,,We study regularity properties of CR maps in positive codimension valued in pseudoconvex manifolds which carry a nontrivial Levi foliation. We introduce an invariant which can be used to deduce that any sufficiently regular CR map from a minimal manifold into such a foliated target is either generic
105,,Cross-Dimensional Mathematics: A Foundation For STP/STA,Daizhan Cheng,2024,,,,,,1,0.000,0.275,10.1007/s11425-024-2528-4,https://www.semanticscholar.org/paper/39270d175ed49f35e036ca21ee61e7490c5d627f,,semantic_scholar,,"A new mathematical structure, called the cross-dimensional mathematics (CDM), is proposed. The CDM considered in this paper consists of three parts: hyper algebra, hyper geometry, and hyper Lie group/Lie algebra. Hyper algebra proposes some new algebraic structures such as hyper group, hyper ring, a"
106,,Manifold Trajectories in Next-Token Prediction: From Replicator Dynamics to Softmax Equilibrium,Christopher R. Lee-Jenkins,2025,arXiv.org,,,,,1,0.000,0.191,10.48550/arXiv.2508.21186,https://www.semanticscholar.org/paper/5b675c8e73259f41c0ed2b9ab4dad68f21111dc2,,semantic_scholar,,"Decoding in large language models is often described as scoring tokens and normalizing with softmax. We give a minimal, self-contained account of this step as a constrained variational principle on the probability simplex. The discrete, normalization-respecting ascent is the classical multiplicative"
107,,Stepsize anything: A unified learning rate schedule for budgeted-iteration training,Anda Tang; Yiming Dong; Yutao Zeng; zhou Xun; Zhouchen Lin,2025,arXiv.org,,,,,1,0.000,0.189,10.48550/arXiv.2505.24452,https://www.semanticscholar.org/paper/5252fc9c44d42587da74fc166e18038fe8ee0263,,semantic_scholar,,"The expanding computational costs and limited resources underscore the critical need for budgeted-iteration training, which aims to achieve optimal learning within predetermined iteration budgets. While learning rate schedules fundamentally govern the performance of different networks and tasks, par"
108,,Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges,Obaidullah Zaland; Chanh Nguyen; Florian T. Pokorny; Monowar H. Bhuyan,2025,International Conference on Machine Learning and Computing,,,,,1,0.000,0.185,10.1109/ICMLC66258.2025.11280176,https://www.semanticscholar.org/paper/810506e46071c6581f9c2f608e584339fc713926,,semantic_scholar,,"Federated Learning (FL) is an emerging distributed machine learning paradigm, where the collaborative training of a model involves dynamic participation of devices to achieve broad objectives. In contrast, classical machine learning (ML) typically requires data to be located on-premises for training"
109,,A Connection Between Score Matching and Local Intrinsic Dimension,Eric Yeats; Aaron Jacobson; Darryl Hannan; Yiran Jia; Timothy Doster,2025,arXiv.org,,,,,1,0.000,0.185,10.48550/arXiv.2510.12975,https://www.semanticscholar.org/paper/6bcd7f677e1dbfc1463f4c1762e3a278fd2d692f,,semantic_scholar,,"The local intrinsic dimension (LID) of data is a fundamental quantity in signal processing and learning theory, but quantifying the LID of high-dimensional, complex data has been a historically challenging task. Recent works have discovered that diffusion models capture the LID of data through the s"
110,,Generalization of anomaly formula for time-reversal symmetry in (2+1)D abelian bosonic TQFTs,Ippo Orii,2025,Progress of Theoretical and Experimental Physics,,,,,1,0.000,0.182,10.1093/ptep/ptaf155,https://www.semanticscholar.org/paper/2ca3cbe3c539f227aec948406c9a403180511d7d,,semantic_scholar,,"
 We study time-reversal symmetry in (2 + 1)D abelian bosonic topological phases. Time-reversal anomalies in such systems are classified by $\mathbb {Z}_2 \times \mathbb {Z}_2$ symmetry-protected topological (SPT) phases in (3 + 1)D, and can be diagnosed via partition functions on manifolds such as "
111,,Research on Time Series Prediction Model of Quantum Long Short Term Memory Network Fusion,Bing Han; Jian Kang; Hongyu Su,2025,Preprints.org,,,,,1,0.000,0.180,10.20944/preprints202508.0647.v1,https://openalex.org/W4413114546,https://www.preprints.org/frontend/manuscript/cd23a06aae90a6a104783f136fdc0cc1/download_pub,openalex,,This study proposes a novel hybrid prediction model (QGCN-LSTM) that combines quantum graph convolutional networks with classical LSTM. The model takes classical time series data as input and achieves classical quantum information conversion through a quantum encoding layer. Multi scale features are
112,,Neural Architecture Search for Hyperspectral Image Classification: A Comprehensive Review and Future Perspectives,Aili Wang; Xinyu Liu; Kang Zhang; Haoran Lv; Haibin Wu,2025,Remote Sensing,,,,,1,0.000,0.180,10.3390/rs17152727,https://openalex.org/W4413037406,https://www.mdpi.com/2072-4292/17/15/2727/pdf?version=1754553071,openalex,,"Hyperspectral image classification (HSIC) is a key task in the field of remote sensing, but the complex nature of hyperspectral data poses a serious challenge to traditional methods. Although deep learning significantly improves classification performance through automatic feature extraction, manual"
113,,Microstates of AdS5 black holes with hypermultiplets,Marina David; Annelien Vekemans,2025,Journal of High Energy Physics,,,,,1,0.000,0.180,10.1007/jhep07(2025)148,https://openalex.org/W4412403714,https://link.springer.com/content/pdf/10.1007/JHEP07(2025)148.pdf,openalex,,"A bstract We construct supersymmetric rotating AdS 5 black holes in 5d $$ \mathcal{N} $$ <mml:math xmlns:mml=""http://www.w3.org/1998/Math/MathML""> <mml:mi>N</mml:mi> </mml:math> = 2 gauged supergravity coupled to two vector multiplets and a universal hypermultiplet, and verify their microscopic coun"
114,,"A Unified 4D Quantum Projection Framework of Space, Time, and Measurement",Mazen Zaino,2025,,,,,,1,0.000,0.180,10.14293/pr2199.001746.v1,https://openalex.org/W4411509857,https://www.scienceopen.com/document_file/6cb529af-1a5b-4d7d-9a3e-114650db0c6c/ScienceOpenPreprint/A%20Unified%204D%20Quantum%20Projection%20Framework.pdf,openalex,,"This paper presents a novel theoretical framework that aims to unify the core principles of quantum mechanics, general relativity, and thermodynamics by introducing an extended spatial geometry incorporating a compactified fourth spatial dimension. The theory proposes that many of the counterintuiti"
115,,"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects",Guanglin Niu; Bo Li; Yangguang Lin,2025,,,,,,1,0.000,0.180,10.36227/techrxiv.174961563.32605293/v1,https://openalex.org/W4411222678,https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.174961563.32605293/v1,openalex,,
116,,CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge,Yuxi Han; Jihe Wang; Danghui Wang,2024,arXiv.org,,,,,1,0.000,0.178,10.48550/arXiv.2405.19033,https://www.semanticscholar.org/paper/f5d6c679fcc0d9149abe51b9bea8905072593290,,semantic_scholar,,"Graph Neural Networks (GNNs) are computationally demanding and inefficient when applied to graph classification tasks in resource-constrained edge scenarios due to their inherent process, involving multiple rounds of forward and backward propagation. As a lightweight alternative, Hyper-Dimensional C"
117,,On the selection of a proper connection in describing the dynamics of constrained mechanical systems,S. Natsiavas; P. Passas; K. Tzaferis,2023,Nonlinear dynamics,,,,,1,0.000,0.167,10.1007/s11071-023-08326-9,https://www.semanticscholar.org/paper/a95c3704bec9d3c60ba0bf06ed6c9cc2d8d10392,https://link.springer.com/content/pdf/10.1007/s11071-023-08326-9.pdf,semantic_scholar,,"This study is focused on a critical issue related to the direct and consistent application of Newton’s law of motion to a special but large class of mechanical systems, involving equality motion constraints. For these systems, it is advantageous to employ the general analytical dynamics framework, w"
118,,An efficient constraint method for solving planning problems under end-effector constraints,Yahao Wang; Zhen Li; Yanghong Li; Erbao Dong,2024,Industrial robot,,,,,1,0.000,0.164,10.1108/ir-10-2023-0251,https://www.semanticscholar.org/paper/332f84439359c8b9b288e2a00ffbcc6721a94a8b,,semantic_scholar,,"
Purpose
In response to the challenge of reduced efficiency or failure of robot motion planning algorithms when faced with end-effector constraints, this study aims to propose a new constraint method to improve the performance of the sampling-based planner.


Design/methodology/approach
In this work"
119,,Manifold Learning for fMRI time-varying FC,J. Gonzalez-Castillo; Isabel S. Fernandez; K. Lam; D. Handwerker; Francisco Pereira,2023,bioRxiv,,,,,1,0.000,0.161,10.1101/2023.01.14.523992,https://www.semanticscholar.org/paper/ef84c2d8052b5af43ae95579f7943c5594cf41ed,https://www.biorxiv.org/content/biorxiv/early/2023/01/16/2023.01.14.523992.full.pdf,semantic_scholar,,
120,,Thermodynamic geometry of spin-one lattice models. I. Spin and quadrupolar orders and critical scaling functions in one dimension.,Riekshika Sanwari; A. Sahay,2022,Physical Review E,,,,,1,0.000,0.126,10.1103/physreve.105.034134,https://www.semanticscholar.org/paper/c505b50afe4592017ef39e99e68043946187f8ae,,semantic_scholar,,"State space Riemannian geometry is obtained for the one-dimensional Blume-Emery-Griffiths model and its Blume-Capel and Griffiths model limits, and its (pseudo)critical as well as noncritical parameter regimes are extensively investigated. Two codimension one geometries are obtained by taking suitab"
121,,Integral formulas for a foliated sub-Riemannian manifold,V. Rovenski,2021,European Journal of Mathematics,,,,,1,0.000,0.118,10.1007/s40879-023-00593-5,https://www.semanticscholar.org/paper/cb380c2885dfb70009c60e498cd130d99c1b8595,,semantic_scholar,,"We apply the notion of foliation to a nonholonomic manifold, which was introduced for the geometric interpretation of constrained systems in mechanics. We prove a series of integral formulas for a foliated sub-Riemannian manifold, that is, a Riemannian manifold equipped with a distribution $${{\math"
122,,Hyper-Laplacian Regularized Low-Rank Collaborative Representation Classification,Shun Xu; Wenwen Shen,2020,International Conference on Advanced Computational Intelligence,,,,,1,0.000,0.116,10.1109/ICACI49185.2020.9177524,https://www.semanticscholar.org/paper/d00180bafb3fffc3ee95496a0d875909379aaf3f,,semantic_scholar,,"Face recognition is an important branch of computer vision. Domestic and foreign scholars have proposed many algorithms to improve the face recognition rate. However, when the training sample and the test sample are exposed to light, occlusion or contamination, the performance of the proposed algori"
123,,Hyperspectral subpixel unmixing via an integrative framework,Chunzhi Li; Xiaohua Chen; Yuan Zhang,2020,,,,,,1,0.000,0.102,10.1080/01431161.2020.1783711,https://www.semanticscholar.org/paper/c947cdc476ae597671bb4d4f923118b60eadfefb,,semantic_scholar,,"ABSTRACT In hyperspectral applications, spectral unmixing (SU) is an important technology to obtain the endmembers and the fractional land covers. Spectral variability, outliers, and nonlinearity are three challenging issues, causing SU to extract endmembers and corresponding abundance maps inaccura"
124,,A pr 2 02 1 BFV extensions and their obstructions in mechanical systems with Lie-2 symmetry,Aliaksandr Hancharuk; T. Strobl,2021,,,,,,1,0.000,0.100,,https://www.semanticscholar.org/paper/c082909b9f5bae31da49ff578574567483d629b2,,semantic_scholar,,
125,,mHC: Manifold-Constrained Hyper-Connections,Zhenda Xie; Yixuan Wei; Huanqi Cao; Chenggang Zhao; Chengqi Deng,2025,arXiv,,,,,0,0.000,0.257,,http://arxiv.org/abs/2512.24880v1,https://arxiv.org/pdf/2512.24880v1,arxiv,,"Recently, studies exemplified by Hyper-Connections (HC) have extended the ubiquitous residual connection paradigm established over the past decade by expanding the residual stream width and diversifying connectivity patterns. While yielding substantial performance gains, this diversification fundame"
126,,Hyper-Generalized Weakly Symmetric Para-Sasakian Manifolds and Their Geometric Properties,B. Thangjam; M. Devi,2025,BULLETIN OF THE KARAGANDA UNIVERSITY-MATHEMATICS,,,,,0,0.000,0.235,10.31489/2025m2/241-251,https://www.semanticscholar.org/paper/c673f9021fdb127edcebdf60239985331b4b693c,,semantic_scholar,,"This paper examines para-Sasakian manifolds that satisfy a hyper-generalized weakly symmetric curvature condition. The conditions under which such a manifold with a hyper-generalized weakly symmetric curvature condition satisfies the η-Einstein manifold are established. Furthermore, the geometric be"
127,,Generative Bayesian Hyperparameter Tuning,Hedibert Lopes; Nick Polson; Vadim Sokolov,2025,arXiv,,,,,0,0.000,0.232,,http://arxiv.org/abs/2512.20051v1,https://arxiv.org/pdf/2512.20051v1,arxiv,,"\noindent Hyper-parameter selection is a central practical problem in modern machine learning, governing regularization strength, model capacity, and robustness choices. Cross-validation is often computationally prohibitive at scale, while fully Bayesian hyper-parameter learning can be difficult due"
128,,Randers metrics with compatible linear connections: a coordinate-free approach,M'ark Ol'ah; Csaba Vincze,2025,Journal of Geometry,,,,,0,0.000,0.220,10.1007/s00022-025-00755-8,https://www.semanticscholar.org/paper/ec2c66f5976abfcd2f630903c6e1a735eefa2a97,,semantic_scholar,,A Randers space is a differentiable manifold equipped with a Randers metric. It is the sum of a Riemannian metric and a one-form on the base manifold. The compatibility of a linear connection with the metric means that the parallel transports preserve the Randers norm of tangent vectors. The existen
129,,"Arithmetic monodromy of hyper-K\""ahler varieties over $p$-adic fields",Kazuhiro Ito; Tetsushi Ito; Teruhisa Koshikawa; Teppei Takamatsu; Haitao Zou,2025,,,,,,0,0.000,0.220,,https://www.semanticscholar.org/paper/73641545c3fda2c186b4b41aa3e27f19d7d96bc6,,semantic_scholar,,"In this paper, we study the $p$-adic and $\ell$-adic monodromy operators associated with hyper-K\""ahler varieties over $p$-adic fields, in connection with Looijenga-Lunts-Verbitsky Lie algebras. We investigate a conjectural relation between the nilpotency indices of these monodromy operators on high"
130,,A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization,Wei Shen; Jiawei Zhang; Minhui Huang; Cong Shen,2025,arXiv.org,,,,,0,0.000,0.205,10.48550/arXiv.2510.24710,https://www.semanticscholar.org/paper/9db6d6af5761c0e98bac91d2cf09af65880ca0e9,,semantic_scholar,,"We study bilevel optimization problems where the lower-level problems are strongly convex and have coupled linear constraints. To overcome the potential non-smoothness of the hyper-objective and the computational challenges associated with the Hessian matrix, we utilize penalty and augmented Lagrang"
131,,On the rigidity of special and exceptional geometries with torsion a closed $3$-form,Georgios Papadopoulos,2025,arXiv,,,,,0,0.000,0.203,,http://arxiv.org/abs/2511.20568v2,https://arxiv.org/pdf/2511.20568v2,arxiv,,"We demonstrate that all Riemannian manifolds $(M, g, H)$ that admit a connection $\hat\nabla$ with torsion a 3-form $H$, which is both closed $d H=0$ and $\hat\nabla$-covariantly constant, are locally isometric to a product $N\times G$, where $G$ is a semisimple group and $N$ is a Riemannian manifol"
132,,"Hyperk\""ahler structures on leaves of hyper-Lie Poisson manifolds",Dadi Ni; Kaichuan Qi,2025,,,,,,0,0.000,0.201,,https://www.semanticscholar.org/paper/786f152b5c97bc7c34f3dd3bad4a694af13c23d8,,semantic_scholar,,"Due to its rich structure and close connection with gauge theory, hyperk\""ahler manifolds have attracted increasing interest. Using infinite dimensional hyperk\""ahler reduction, Kronheimer proved that certain adjoint orbits of complexified semisimple Lie algebras admits hyperk\""ahler structures. Lat"
133,,Lagrangian Dual Sections: A Topological Perspective on Hidden Convexity,Venkat Chandrasekaran; Timothy Duff; Jose Israel Rodriguez; Kevin Shu,2025,,,,,,0,0.000,0.200,,https://www.semanticscholar.org/paper/702a8cf538d6f51d0b98a89a34a5d1d55b40b3ac,,semantic_scholar,,"Hidden convexity is a powerful idea in optimization: under the right transformations, nonconvex problems that are seemingly intractable can be solved efficiently using convex optimization. We introduce the notion of a Lagrangian dual section of a nonlinear program defined over a topological space, a"
134,,Fluid dynamics as intersection problem,Nikita Nekrasov; Paul Wiegmann,2025,arXiv,,,,,0,0.000,0.200,,http://arxiv.org/abs/2512.25053v1,https://arxiv.org/pdf/2512.25053v1,arxiv,,"We formulate the covariant hydrodynamics equations describing the fluid dynamics as the problem of intersection theory on the infinite dimensional symplectic manifold associated with spacetime. This point of view separates the structures related to the equation of state, the geometry of spacetime, a"
135,,Cech - de Rham Chern character on the stack of holomorphic vector bundles,Cheyne Glass; T. Tradler; M. Zeinalian,2025,,,,,,0,0.000,0.198,,https://www.semanticscholar.org/paper/1231982e3a59d14420806f9e0aa5b6d34d2537d5,,semantic_scholar,,We provide a formula for the Chern character of a holomorphic vector bundle in the hyper-cohomology of the de Rham complex of holomorphic sheaves on a complex manifold. This Chern character can be thought of as a completion of the Chern character in Hodge cohomology obtained as the trace of the expo
136,,Trajectory Optimization by Successive Pseudospectral Convexification on Riemannian Manifolds,Tatsuya Narumi; Shin-ichiro Sakai,2025,arXiv,,,,,0,0.000,0.198,,http://arxiv.org/abs/2512.09551v1,https://arxiv.org/pdf/2512.09551v1,arxiv,,"This paper proposes an intrinsic pseudospectral convexification framework for optimal control problems with manifold constraints. While successive pseudospectral convexification combines spectral collocation with successive convexification, classical pseudospectral methods are not geometry-consisten"
137,,"Lie algebroids, quantum Poisson algebroids, and Lie algebroid connections",Satyendra Kumar Mishra; A. Sarkar,2025,,,,,,0,0.000,0.197,,https://www.semanticscholar.org/paper/4105091889345f991b2875d21437a69e73fd6b4e,,semantic_scholar,,"In this paper, we consider Lie algebroids over commutative ringed spaces. Lie algebroids over ringed spaces unify the existing notion of Lie algebroids over smooth manifolds, complex manifolds, analytic spaces, algebraic varieties, and schemes. We show that the universal enveloping algebroid of a Li"
138,,Fundamental Limitations of QAOA on Constrained Problems and a Route to Exponential Enhancement,Chinonso Onah; Kristel Michielsen,2025,arXiv,,,,,0,0.000,0.196,,http://arxiv.org/abs/2511.17259v1,https://arxiv.org/pdf/2511.17259v1,arxiv,,"We study fundamental limitations of the generic Quantum Approximate Optimization Algorithm (QAOA) on constrained problems where valid solutions form a low dimensional manifold inside the Boolean hypercube, and we present a provable route to exponential improvements via constraint embedding. Focusing"
139,,Harmonising Reality and Professional Practice: Pedagogies of Inclusive Teaching and Connected Learning,R. Dlamini,2025,Working papers,,,,,0,0.000,0.196,10.56059/pcf11.1266,https://www.semanticscholar.org/paper/eddb430093c146903f42038d1797df458dc67b45,,semantic_scholar,,"Globally, there is a growing interest in achieving greater educational inclusion to address the persistent inequalities related to education disparities and social mobility. However, the focus of this study is the persistent high levels of inequality, poverty and unemployment in South Africa that re"
140,,"Signatures of real-space geometry, topology, and metric tensor in quantum transport in periodically corrugated spaces",Benjamin Schwager; Theresa Appel; Jamal Berakdar,2025,arXiv,,,,,0,0.000,0.196,,http://arxiv.org/abs/2512.16846v1,https://arxiv.org/pdf/2512.16846v1,arxiv,,The motion of a quantum particle constrained to a two-dimensional non-compact Riemannian manifold with non-trivial metric can be described by a flat-space Schroedinger-type equation at the cost of introducing local mass and metric and geometry-induced effective potential with no classical counterpar
141,,The algebraic square of an irreducible complex spinor,Alejandro Gil-Garc'ia; C. Shahbazi,2025,,,,,,0,0.000,0.195,,https://www.semanticscholar.org/paper/7a97a602f138d4259eac9619fc1948877dca3b10,,semantic_scholar,,"We characterize, in every dimension and signature, the algebraic squares of an irreducible complex spinor as a pair of exterior forms satisfying a prescribed system of algebraic relations that we present in terms of the geometric product of the underlying quadratic vector space. As a result, we obta"
142,,Quotient Manifold Optimization for Spectral Compressed Sensing,Wenlong Wang; Wen Huang; Zai Yang,2025,arXiv,,,,,0,0.000,0.195,,http://arxiv.org/abs/2511.19108v1,https://arxiv.org/pdf/2511.19108v1,arxiv,,"Spectral compressed sensing involves reconstructing a spectral-sparse signal from a subset of uniformly spaced samples, with applications in radar imaging and wireless channel estimation. By fully exploiting the signal structures, this problem is formulated as a rank-constrained semidefinite program"
143,,Quantumness via Discrete Structures,Ravi Kunjwal,2025,arXiv,,,,,0,0.000,0.195,,http://arxiv.org/abs/2512.10063v2,https://arxiv.org/pdf/2512.10063v2,arxiv,,"Quantum theory departs from classical probabilistic theories in foundational ways. These departures--termed quantumness here--power quantum information and computation. This thesis charts the role of discrete structures in assessing quantumness, synthesizing elements of my postdoctoral research thro"
144,,Transgression in the primitive cohomology,Hao Zhuang,2025,arXiv,,,,,0,0.000,0.194,,http://arxiv.org/abs/2512.24920v1,https://arxiv.org/pdf/2512.24920v1,arxiv,,"We study the Chern-Weil theory for the primitive cohomology of a symplectic manifold. First, given a symplectic manifold, we review the superbundle-valued forms on this manifold and prove a primitive version of the Bianchi identity. Second, as the main result, we prove a transgression formula associ"
145,,"Secrets of the Goo: The genome assembly of the Pacific banana slug, Ariolimax columbianus",Max Genetti; Merly Escalona; Cade Mirchandani; Jonas Oppenheimer; E. Beraut,2025,Journal of Heredity,,,,,0,0.000,0.194,10.1093/jhered/esaf002,https://www.semanticscholar.org/paper/29dea4859e36ffe56831ffd1850a48666ae0b38e,,semantic_scholar,,"Abstract The Pacific banana slug, Ariolimax columbianus, is endemic to the forests of the Pacific Northern West. Found throughout the coastal foothills and mountains of California, the hermaphroditic molluscs Ariolimax spp. are niche-constrained, hyper-localized, and phenotypically diverse. The evol"
146,,Necessary and sufficient conditions for high dimensional Central Limit Theorem under moment conditions,Debraj Das; Soumendra Lahiri,2025,arXiv,,,,,0,0.000,0.194,,http://arxiv.org/abs/2512.22312v1,https://arxiv.org/pdf/2512.22312v1,arxiv,,"High dimensional central limit theorems (the CLTs) have been extensively studied in recent years under a variety of sufficient moment conditions connecting the dimension growth rate with the tail decay rate. In this article, we investigate whether the existing moment conditions are also necessary un"
147,,Physics-Constrained Neural Dynamics: A Unified Manifold Framework for Large-Scale Power Flow Computation,Xuezhi Liu,2025,arXiv,,,,,0,0.000,0.194,,http://arxiv.org/abs/2512.01207v1,https://arxiv.org/pdf/2512.01207v1,arxiv,,"Power flow analysis is a fundamental tool for power system analysis, planning, and operational control. Traditional Newton-Raphson methods suffer from limitations such as initial value sensitivity and low efficiency in batch computation, while existing deep learning-based power flow solvers mostly r"
148,,AL-Net: Adaptive Learning for Enhanced Cell Nucleus Segmentation in Pathological Images,Zhuping Chen; Sheng-Lung Peng; Rui Yang; Ming Zhao; Chaolin Zhang,2025,Electronics,,,,,0,0.000,0.194,10.3390/electronics14173507,https://www.semanticscholar.org/paper/85fa9539b6139e5c61a9364cb288675c0ae7e542,,semantic_scholar,,"Precise segmentation of cell nuclei in pathological images is the foundation of cancer diagnosis and quantitative analysis, but blurred boundaries, scale variability, and staining differences have long constrained its reliability. To address this, this paper proposes AL-Net—an adaptive learning netw"
149,,Gradient-descent methods for quantum detector tomography,Amanuel Anteneh; Olivier Pfister,2025,arXiv,,,,,0,0.000,0.194,,http://arxiv.org/abs/2511.14579v1,https://arxiv.org/pdf/2511.14579v1,arxiv,,We present a technique for performing quantum detector tomography (QDT) of phase insensitive quantum detectors using gradient descent-based optimization to learn the positive operator-valued measure (POVM) that best describes the data collected using the detector under study. We numerically benchmar
150,,ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds,Yihang Fu; Lifang He; Qingyu Chen,2025,arXiv,,,,,0,0.000,0.193,,http://arxiv.org/abs/2511.16828v1,https://arxiv.org/pdf/2511.16828v1,arxiv,,"Existing EEG foundation models mainly treat neural signals as generic time series in Euclidean space, ignoring the intrinsic geometric structure of neural dynamics that constrains brain activity to low-dimensional manifolds. This fundamental mismatch between model assumptions and neural geometry lim"
151,,Semantic Geometry for policy-constrained interpretation,Nikit Phadke,2025,arXiv,,,,,0,0.000,0.193,,http://arxiv.org/abs/2512.14731v1,https://arxiv.org/pdf/2512.14731v1,arxiv,,"We present a geometric framework for policy-constrained semantic interpretation that provably prevents hallucinated commitments in high-stakes domains. Semantic meaning is represented as direction on a unit sphere, evidence is modeled as sets of witness vectors, and admissible interpretations corres"
152,,Local Path Optimization in The Latent Space Using Learned Distance Gradient,Jiawei Zhang; Chengchao Bai; Wei Pan; Tianhang Liu; Jifeng Guo,2025,arXiv,,,,,0,0.000,0.191,10.1109/IROS60139.2025.11247535,http://arxiv.org/abs/2512.24272v1,https://arxiv.org/pdf/2512.24272v1,arxiv,,"Constrained motion planning is a common but challenging problem in robotic manipulation. In recent years, data-driven constrained motion planning algorithms have shown impressive planning speed and success rate. Among them, the latent motion method based on manifold approximation is the most efficie"
153,,Deep Manifold Part 2: Neural Network Mathematics,Max Y. Ma; Gen-Hua Shi,2025,arXiv,,,,,0,0.000,0.191,,http://arxiv.org/abs/2512.06563v1,https://arxiv.org/pdf/2512.06563v1,arxiv,,"This work develops the global equations of neural networks through stacked piecewise manifolds, fixed-point theory, and boundary-conditioned iteration. Once fixed coordinates and operators are removed, a neural network appears as a learnable numerical computation shaped by manifold complexity, high-"
154,,Guided Path Sampling: Steering Diffusion Models Back on Track with Principled Path Guidance,Haosen Li; Wenshuo Chen; Shaofeng Liang; Lei Wang; Haozhe Jia,2025,arXiv,,,,,0,0.000,0.191,,http://arxiv.org/abs/2512.22881v1,https://arxiv.org/pdf/2512.22881v1,arxiv,,"Iterative refinement methods based on a denoising-inversion cycle are powerful tools for enhancing the quality and control of diffusion models. However, their effectiveness is critically limited when combined with standard Classifier-Free Guidance (CFG). We identify a fundamental limitation: CFG's e"
155,,"Synergizing Monetization, Orchestration, and Semantics in Computing Continuum",Chinmaya Kumar Dehury; Lauri Lovén; Praveen Kumar Donta; Ilir Murturi; Schahram Dustdar,2025,arXiv,,,,,0,0.000,0.190,,http://arxiv.org/abs/2512.08288v1,https://arxiv.org/pdf/2512.08288v1,arxiv,,"Industry demands are growing for hyper-distributed applications that span from the cloud to the edge in domains such as smart manufacturing, transportation, and agriculture. Yet today's solutions struggle to meet these demands due to inherent limitations in scalability, interoperability, and trust. "
156,,On Weinstein domains in symplectic manifolds,Thomas E. Mark; Bülent Tosun,2025,arXiv,,,,,0,0.000,0.190,,http://arxiv.org/abs/2512.04278v1,https://arxiv.org/pdf/2512.04278v1,arxiv,,"We prove that a Weinstein domain symplectically embedded in a closed symplectic manifold always admits symplectic hypersurfaces in its complement, possibly after a deformation. As a consequence, we obtain an obstruction for a closed 3-dimensional manifold to arise as the boundary of a Weinstein doma"
157,,Property (T) and Poincaré duality in dimension three,Cameron Gates Rudd,2025,arXiv,,,,,0,0.000,0.190,,http://arxiv.org/abs/2512.24919v1,https://arxiv.org/pdf/2512.24919v1,arxiv,,"We use a recent result of Bader and Sauer on coboundary expansion to prove residually finite three-dimensional Poincaré duality groups never have property (T). This implies such groups are never Kähler. The argument applies to fundamental groups of (possibly non-aspherical) compact 3-manifolds, givi"
158,,Decoupling Constraint from Two Direction in Evolutionary Constrained Multi-objective Optimization,Ruiqing Sun; Dawei Feng; Xing Zhou; Lianghao Li; Sheng Qi,2025,arXiv,,,,,0,0.000,0.190,,http://arxiv.org/abs/2512.23945v1,https://arxiv.org/pdf/2512.23945v1,arxiv,,"Real-world Constrained Multi-objective Optimization Problems (CMOPs) often contain multiple constraints, and understanding and utilizing the coupling between these constraints is crucial for solving CMOPs. However, existing Constrained Multi-objective Evolutionary Algorithms (CMOEAs) typically ignor"
159,,GrOMP: Grasped Object Manifold Projection for Multimodal Imitation Learning of Manipulation,William van den Bogert; Gregory Linkowski; Nima Fazeli,2025,arXiv,,,,,0,0.000,0.190,,http://arxiv.org/abs/2512.03347v2,https://arxiv.org/pdf/2512.03347v2,arxiv,,"Imitation Learning (IL) holds great potential for learning repetitive manipulation tasks, such as those in industrial assembly. However, its effectiveness is often limited by insufficient trajectory precision due to compounding errors. In this paper, we introduce Grasped Object Manifold Projection ("
160,,Physically-Grounded Manifold Projection with Foundation Priors for Metal Artifact Reduction in Dental CBCT,Zhi Li; Yaqi Wang; Bingtao Ma; Yifan Zhang; Huiyu Zhou,2025,arXiv,,,,,0,0.000,0.190,,http://arxiv.org/abs/2512.24260v1,https://arxiv.org/pdf/2512.24260v1,arxiv,,"Metal artifacts in Dental CBCT severely obscure anatomical structures, hindering diagnosis. Current deep learning for Metal Artifact Reduction (MAR) faces limitations: supervised methods suffer from spectral blurring due to ""regression-to-the-mean"", while unsupervised ones risk structural hallucinat"
161,,Learning Degenerate Manifolds of Frustrated Magnets with Boltzmann Machines,Jackson C. Glass; Gia-Wei Chern,2025,arXiv,,,,,0,0.000,0.189,,http://arxiv.org/abs/2511.19879v1,https://arxiv.org/pdf/2511.19879v1,arxiv,,"We show that Restricted Boltzmann Machines (RBMs) provide a flexible generative framework for modeling spin configurations in disordered yet strongly correlated phases of frustrated magnets. As a benchmark, we first demonstrate that an RBM can learn the zero-temperature ground-state manifold of the "
162,,Transitive partially hyperbolic diffeomorphisms in dimension three,Ziqiang Feng,2025,arXiv,,,,,0,0.000,0.189,,http://arxiv.org/abs/2512.24151v1,https://arxiv.org/pdf/2512.24151v1,arxiv,,"We prove that any $C^{1+α}$ transitive conservative partially hyperbolic diffeomorphism of a closed 3-manifold with virtually solvable fundamental group is ergodic. Consequently, in light of \cite{FP-classify}, this establishes the equivalence between transitivity and ergodicity for $C^{1+α}$ conser"
163,,Concentration and fluctuations of sine-Gordon measure around topological multi-soliton manifold,Kihoon Seong; Hao Shen; Philippe Sosoe,2025,arXiv,,,,,0,0.000,0.188,,http://arxiv.org/abs/2512.23957v1,https://arxiv.org/pdf/2512.23957v1,arxiv,,"We study the sine-Gordon measure defined on each homotopy class. The energy space decomposes into infinitely many such classes indexed by the topological degree $Q \in \mathbb{Z}$. Even though the sine-Gordon action admits no minimizer in homotopy classes with $|Q| \ge 2$, we prove that the Gibbs me"
164,,Attention Is Not What You Need,Zhang Chong,2025,arXiv,,,,,0,0.000,0.188,,http://arxiv.org/abs/2512.19428v1,https://arxiv.org/pdf/2512.19428v1,arxiv,,We revisit a basic question in sequence modeling: is explicit self-attention actually necessary for strong performance and reasoning? We argue that standard multi-head attention is best seen as a form of tensor lifting: hidden vectors are mapped into a high-dimensional space of pairwise interactions
165,,Time integration of quantized tensor trains using the interpolative dynamical low-rank approximation,Erika Ye; Chao Yang,2025,arXiv,,,,,0,0.000,0.188,,http://arxiv.org/abs/2512.15703v1,https://arxiv.org/pdf/2512.15703v1,arxiv,,"Quantized tensor trains (QTTs) are a low-rank and multiscale framework that allows for efficient approximation and manipulation of multi-dimensional, high resolution data. One area of active research is their use in numerical simulation of hyperbolic systems such as the Navier-Stokes equations and t"
166,,Situationally Sensitive Path Planning,Paul M. Torrens; Ryan Kim; Kaishuu Shinozaki-Conefrey,2025,Algorithms,,,,,0,0.000,0.188,10.3390/a18070388,https://openalex.org/W4411690641,https://www.mdpi.com/1999-4893/18/7/388/pdf?version=1751024551,openalex,,"We examine how site-based path planning algorithms for enclosed spaces can be enhanced with situational detail. Addressing this question has led to value propositions in facility design, where there is often a call to match, map, and merge infrastructure considerations and configurations with potent"
167,,DAE-HardNet: A Physics Constrained Neural Network Enforcing Differential-Algebraic Hard Constraints,Rahul Golder; Bimol Nath Roy; M. M. Faruque Hasan,2025,arXiv,,,,,0,0.000,0.188,,http://arxiv.org/abs/2512.05881v1,https://arxiv.org/pdf/2512.05881v1,arxiv,,"Traditional physics-informed neural networks (PINNs) do not always satisfy physics based constraints, especially when the constraints include differential operators. Rather, they minimize the constraint violations in a soft way. Strict satisfaction of differential-algebraic equations (DAEs) to embed"
168,,Dark Matter Induced Nucleon Decay Through the Neutron Portal,Nicole F. Bell; Peter Cox; Jayden L. Newstead; Michael B. G. Verde,2025,arXiv,,,,,0,0.000,0.188,,http://arxiv.org/abs/2511.18722v1,https://arxiv.org/pdf/2511.18722v1,arxiv,,"The neutron portal operator provides a theoretically motivated connection between the visible and dark sectors and features in several well-studied asymmetric dark matter models. This operator leads to dark matter induced nucleon decays that mimic the experimental signature of ""ordinary"" nucleon dec"
169,,On a conjecture of Almgren II: area-minimizing submanifolds with fractal singular sets on almost any manifold,Zhenhua Liu,2025,arXiv,,,,,0,0.000,0.188,,http://arxiv.org/abs/2512.24859v1,https://arxiv.org/pdf/2512.24859v1,arxiv,,"This paper is the second in a two-part solution to Almgren's conjecture on the existence of area-minimizing submanifolds with fractal singular sets. In part one, we construct area-minimizing submanifolds with fractal singular sets on certain special manifolds. Here we continue our work and show that"
170,,Chiral Magnetic Effect induced Spectator Process for Leptogenesis,Wei Chao,2025,arXiv,,,,,0,0.000,0.187,,http://arxiv.org/abs/2511.13051v1,https://arxiv.org/pdf/2511.13051v1,arxiv,,"Conventional Leptogenesis mechanism, which provides compelling explanation to the origin of the baryon asymmetry of the universe (BAU), assumes the absence of hypermagnetic field in the early universe, thereby disregard the implications of hyper gauge field helicity, that have been thoroughly studie"
171,,Secure Analog Beamforming for Multi-user MISO Systems with Movable Antennas,Weijie Xiong; Jingran Lin; Kai Zhong; Liu Yang; Hongli Liu,2025,arXiv,,,,,0,0.000,0.187,,http://arxiv.org/abs/2511.19360v1,https://arxiv.org/pdf/2511.19360v1,arxiv,,"Movable antennas (MAs) represent a novel approach that enables flexible adjustments to antenna positions, effectively altering the channel environment and thereby enhancing the performance of wireless communication systems. However, conventional MA implementations often adopt fully digital beamformi"
172,,Hybrid twinning using PBDW and DeepONet for the effective state estimation and prediction on partially known systems,Stiven Briand Massala; Ludovic Chamoin; Massimo Picca Ciamarra,2025,arXiv,,,,,0,0.000,0.187,,http://arxiv.org/abs/2512.11834v1,https://arxiv.org/pdf/2512.11834v1,arxiv,,"The accurate estimation of the state of complex uncertain physical systems requires reconciling theoretical models, with inherent imperfections, with noisy experimental data. In this work, we propose an effective hybrid approach that combines physics-based modeling with data-driven learning to enhan"
173,,Non-Abelian Geometric Phases in Triangular Structures And Universal SU(2) Control in Shape Space,J. Dai; A. Molochkov; A. J. Niemi; J. Westerholm,2025,arXiv,,,,,0,0.000,0.187,,http://arxiv.org/abs/2512.24798v1,https://arxiv.org/pdf/2512.24798v1,arxiv,,"We construct holonomic quantum gates for qubits that are encoded in the near-degenerate vibrational $E$-doublet of a deformable three-body system. Using Kendall's shape theory, we derive the Wilczek--Zee connection governing adiabatic transport within the $E$-manifold. We show that its restricted ho"
174,,An Empirical Study of Sampling Hyperparameters in Diffusion-Based Super-Resolution,Yudhistira Arief Wibowo,2025,arXiv,,,,,0,0.000,0.187,,http://arxiv.org/abs/2512.17675v1,https://arxiv.org/pdf/2512.17675v1,arxiv,,"Diffusion models have shown strong potential for solving inverse problems such as single-image super-resolution, where a high-resolution image is recovered from a low-resolution observation using a pretrained unconditional prior. Conditioning methods, including Diffusion Posterior Sampling (DPS) and"
175,,"Transmit Weights, Not Features: Orthogonal-Basis Aided Wireless Point-Cloud Transmission",Junlin Chang; Yubo Han; Hnag Yue; John S Thompson; Rongke Liu,2025,arXiv,,,,,0,0.000,0.186,,http://arxiv.org/abs/2512.03819v1,https://arxiv.org/pdf/2512.03819v1,arxiv,,"The widespread adoption of depth sensors has substantially lowered the barrier to point-cloud acquisition. This letter proposes a semantic wireless transmission framework for three dimension (3D) point clouds built on Deep Joint Source - Channel Coding (DeepJSCC). Instead of sending raw features, th"
176,,Bhargava Cube--Inspired Quadratic Regularization for Structured Neural Embeddings,S Sairam; Prateek P Kulkarni,2025,arXiv,,,,,0,0.000,0.186,,http://arxiv.org/abs/2512.11392v1,https://arxiv.org/pdf/2512.11392v1,arxiv,,We present a novel approach to neural representation learning that incorporates algebraic constraints inspired by Bhargava cubes from number theory. Traditional deep learning methods learn representations in unstructured latent spaces lacking interpretability and mathematical consistency. Our framew
177,,Differentiable Inverse Modeling with Physics-Constrained Latent Diffusion for Heterogeneous Subsurface Parameter Fields,Zihan Lin; QiZhi He,2025,arXiv,,,,,0,0.000,0.186,,http://arxiv.org/abs/2512.22421v1,https://arxiv.org/pdf/2512.22421v1,arxiv,,We present a latent diffusion-based differentiable inversion method (LD-DIM) for PDE-constrained inverse problems involving high-dimensional spatially distributed coefficients. LD-DIM couples a pretrained latent diffusion prior with an end-to-end differentiable numerical solver to reconstruct unknow
178,,A proximal subgradient algorithm for constrained multiobjective DC-type optimization,Nguyen Van Tuyen; Minh N. Dao; Tran Van Nghi,2025,arXiv,,,,,0,0.000,0.186,,http://arxiv.org/abs/2512.24717v1,https://arxiv.org/pdf/2512.24717v1,arxiv,,"In this paper, we consider a class of constrained multiobjective optimization problems, where each objective function can be expressed by adding a possibly nonsmooth nonconvex function and a differentiable function with Lipschitz continuous gradient, then subtracting a weakly convex function. This e"
179,,Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade,Letian Yi; Tingpeng Zhang; Mingyuan Zhou; Guannan Wang; Quanke Su,2025,arXiv,,,,,0,0.000,0.186,,http://arxiv.org/abs/2512.01572v1,https://arxiv.org/pdf/2512.01572v1,arxiv,,"Reconstructing full fields from extremely sparse and random measurements is a longstanding ill-posed inverse problem. A powerful framework for addressing such challenges is hierarchical probabilistic modeling, where uncertainty is represented by intermediate variables and resolved through marginaliz"
180,,Geometry and quantum brachistochrone analysis of multiple entangled spin-1/2 particles under all-range Ising interaction,B. Amghar; M. Yachi; M. Amghar; M. Almousa; A. A. Abd El-Latif,2025,arXiv,,,,,0,0.000,0.186,10.1038/s41598-025-32484-y,http://arxiv.org/abs/2512.21400v1,https://arxiv.org/pdf/2512.21400v1,arxiv,,"We present a unified geometric and dynamical framework for a physical system consisting of $n$ spin-$1/2$ particles with all-range Ising interaction. Using the Fubini-Study formalism, we derive the metric tensor of the associated quantum state manifold and compute the corresponding Riemann curvature"
181,,Complexity guarantees and polling strategies for Riemannian direct-search methods,Bastien Cavarretta; Florentin Goyens; Clément W. Royer; Florian Yger,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2511.15360v1,https://arxiv.org/pdf/2511.15360v1,arxiv,,"Direct-search algorithms are derivative-free optimization techniques that operate by polling the variable space along specific directions forming positive spanning sets (PSSs). When the problem variables are constrained to lie on a Riemannian manifold, polling must be performed along tangent directi"
182,,Connection Between Dwarf Galaxies and Globular Clusters: Insights from the Perseus Cluster Using Subaru Imaging and Keck Spectroscopy,Yimeng Tang; Aaron J. Romanowsky; Song Huang; Nobuhiro Okabe; Jean P. Brodie,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2512.11070v1,https://arxiv.org/pdf/2512.11070v1,arxiv,,"We present a systematic study of 189 dwarf galaxies and their globular cluster (GC) systems in the Perseus cluster, based on deep Subaru Hyper Suprime-Cam imaging and Keck spectroscopy, supplemented by literature data. This constitutes the largest sample of dwarfs in a single galaxy cluster to date "
183,,Hierarchical Deformation Planning and Neural Tracking for DLOs in Constrained Environments,Yunxi Tang; Tianqi Yang; Jing Huang; Xiangyu Chu; Kwok Wai Samuel Au,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2512.24974v1,https://arxiv.org/pdf/2512.24974v1,arxiv,,"Deformable linear objects (DLOs) manipulation presents significant challenges due to DLOs' inherent high-dimensional state space and complex deformation dynamics. The wide-populated obstacles in realistic workspaces further complicate DLO manipulation, necessitating efficient deformation planning an"
184,,Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization,Jake B. Perazzone; Shiqiang Wang; Mingyue Ji; Kevin S. Chan,2025,IEEE Transactions on Networking,,,,,0,0.000,0.185,10.1109/TON.2025.3539857,https://www.semanticscholar.org/paper/f85432c40947f00f91765424fdad77c79a437b81,,semantic_scholar,,"Federated learning (FL) is a useful tool that enables the training of machine learning models over distributed data without having to collect data centrally. When deploying FL in constrained wireless environments, however, intermittent connectivity of devices, heterogeneous connection quality, and n"
185,,FAST-IDS: A Fast Two-Stage Intrusion Detection System with Hybrid Compression for Real-Time Threat Detection in Connected and Autonomous Vehicles,Devika S; Vishnu Hari; Pratik Narang; Tejasvi Alladi; Vinay Chamola,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2512.24391v1,https://arxiv.org/pdf/2512.24391v1,arxiv,,We have implemented a multi-stage IDS for CAVs that can be deployed to resourec-constrained environments after hybrid model compression.
186,,Neural Network Optimal Power Flow via Energy Gradient Flow and Unified Dynamics,Xuezhi Liu,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2512.01219v1,https://arxiv.org/pdf/2512.01219v1,arxiv,,"Optimal Power Flow (OPF) is a core optimization problem in power system operation and planning, aiming to minimize generation costs while satisfying physical constraints such as power flow equations, generator limits, and voltage limits. Traditional OPF solving methods typically employ iterative opt"
187,,Training-Free Diffusion Priors for Text-to-Image Generation via Optimization-based Visual Inversion,Samuele Dell'Erba; Andrew D. Bagdanov,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2511.20821v3,https://arxiv.org/pdf/2511.20821v3,arxiv,,"Diffusion models have established the state-of-the-art in text-to-image generation, but their performance often relies on a diffusion prior network to translate text embeddings into the visual manifold for easier decoding. These priors are computationally expensive and require extensive training on "
188,,The Homological Brain: Parity Principle and Amortized Inference,Xin Li,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2512.10976v1,https://arxiv.org/pdf/2512.10976v1,arxiv,,"Biological intelligence emerges from substrates that are slow, noisy, and energetically constrained, yet it performs rapid and coherent inference in open-ended environments. Classical computational theories, built around vector-space transformations and instantaneous error minimization, struggle to "
189,,Coarse geometry of extended admissible groups,Toan Trong Dao; Hoang Thanh Nguyen,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2512.24784v1,https://arxiv.org/pdf/2512.24784v1,arxiv,,"Extended admissible groups belong to a particular class of graphs of groups that admit a decomposition generalizing those of non-geometric 3-manifold groups and Croke-Kleiner admissible groups. In this paper, we study several coarse-geometric aspects of extended admissible groups. We show that chang"
190,,Breaking Symmetry-Induced Degeneracy in Multi-Agent Ergodic Coverage via Stochastic Spectral Control,Kooktae Lee; Julian Martinez,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2512.23158v1,https://arxiv.org/pdf/2512.23158v1,arxiv,,"Multi-agent ergodic coverage via Spectral Multiscale Coverage (SMC) provides a principled framework for driving a team of agents so that their collective time-averaged trajectories match a prescribed spatial distribution. While classical SMC has demonstrated empirical success, it can suffer from gra"
191,,Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model,Jing He; Haodong Li; Mingzhi Sheng; Ying-Cong Chen,2025,arXiv,,,,,0,0.000,0.185,,http://arxiv.org/abs/2512.01030v2,https://arxiv.org/pdf/2512.01030v2,arxiv,,"Recovering pixel-wise geometric properties from a single image is fundamentally ill-posed due to appearance ambiguity and non-injective mappings between 2D observations and 3D structures. While discriminative regression models achieve strong performance through large-scale supervision, their success"
192,,Generalised Hermite-Einstein Fibre Metrics and Slope Stability for Holomorphic Vector Bundles,Dan Popovici,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.24932v1,https://arxiv.org/pdf/2512.24932v1,arxiv,,"Let $X$ be a compact complex manifold of dimension $n$ and let $m$ be a positive integer with $m\leq n$. Assume that $X$ admits a Kähler metric $ω$ and a weakly positive, $\partial\bar\partial$-closed, smooth $(n-m,\,n-m)$-form $Ω$. We introduce the notions of $(ω,\,Ω)$-Hermite-Einstein holomorphic "
193,,An Equivalence Result on the Order of Differentiability in Frobenius' Theorem,Yuhki Hosoya,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.24218v1,https://arxiv.org/pdf/2512.24218v1,arxiv,,"This paper examines the simplest case of total differential equations that appears in the theory of foliation structures, without imposing the smoothness assumptions. This leads to a peculiar asymmetry in the differentiability of solutions. To resolve this asymmetry, this paper focuses on the differ"
194,,Geometric Control of Mechanical Systems with Symmetries Based on Sliding Modes,Eduardo Espíndola; Yu Tang,2025,arXiv.org,,,,,0,0.000,0.184,10.48550/arXiv.2509.01985,https://www.semanticscholar.org/paper/358576ff413689af42082670164c424f7898735d,,semantic_scholar,,"In this paper, we propose a framework for designing sliding mode controllers for a class of mechanical systems with symmetry, both unconstrained and constrained, that evolve on principal fiber bundles. Control laws are developed based on the reduced motion equations by exploring symmetries, leading "
195,,Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics,Additi Pandey; Liang Wei; Hessam Babaee; George Em Karniadakis,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.14471v1,https://arxiv.org/pdf/2512.14471v1,arxiv,,"Accurate chemical kinetics modeling is essential for combustion simulations, as it governs the evolution of complex reaction pathways and thermochemical states. In this work, we introduce Kinetic-Mamba, a Mamba-based neural operator framework that integrates the expressive power of neural operators "
196,,Transversal Gates in Nonadditive Quantum Codes,Chao Zhang; Zipeng Wu; Shilin Huang; Bei Zeng,2025,,,,,,0,0.000,0.184,,https://www.semanticscholar.org/paper/858abd26e4f99dda2468663d810267fde539c457,,semantic_scholar,,"Transversal gates play a crucial role in suppressing error propagation in fault-tolerant quantum computation, yet they are intrinsically constrained: any nontrivial code encoding a single logical qubit admits only a finite subgroup of $\mathrm{SU}(2)$ as its transversal operations. We introduce a sy"
197,,Quantum dynamics of perfect fluids,Walter D. Goldberger; Petar Tadić,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.23793v1,https://arxiv.org/pdf/2512.23793v1,arxiv,,We study the quantum field theory of zero temperature perfect fluids. Such systems are defined by quantizing a classical field theory of scalar fields $φ^I$ that act as Lagrange coordinates on an internal spatial manifold of fluid configurations. Invariance under volume preserving diffeomorphisms ac
198,,On the geometry and topology of representations: the manifolds of modular addition,Gabriela Moisescu-Pareja; Gavin McCracken; Harley Wiltzer; Vincent Létourneau; Colin Daniels,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.25060v1,https://arxiv.org/pdf/2512.25060v1,arxiv,,"The Clock and Pizza interpretations, associated with architectures differing in either uniform or learnable attention, were introduced to argue that different architectural designs can yield distinct circuits for modular addition. In this work, we show that this is not the case, and that both unifor"
199,,Pressure-Tuned Metamagnetism and Emergent Three-Body Interactions in CsFeCl$_3$,K. Nihongi; T. Kida; Y. Narumi; Y. Etoh; D. Yamamoto,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.21682v1,https://arxiv.org/pdf/2512.21682v1,arxiv,,We present a combined experimental and theoretical study of the triangular-lattice quantum antiferromagnet CsFeCl$_3$ under high magnetic fields and high pressure. Pulsed-field magnetization for the magnetic field along the symmetric $c$ direction at ambient pressure reveals a magnetization process 
200,,Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing Problem,Pengfu Wan; Jiawei Chen; Gangyan Xu,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2512.24251v1,https://arxiv.org/pdf/2512.24251v1,arxiv,,"The Fleet Size and Mix Vehicle Routing Problem (FSMVRP) is a prominent variant of the Vehicle Routing Problem (VRP), extensively studied in operations research and computational science. FSMVRP requires simultaneous decisions on fleet composition and routing, making it highly applicable to real-worl"
201,,Quantum measurement tomography with mini-batch stochastic gradient descent,Akshay Gaikwad; Manuel Sebastian Torres; Anton Frisk Kockum,2025,arXiv,,,,,0,0.000,0.184,,http://arxiv.org/abs/2511.15682v1,https://arxiv.org/pdf/2511.15682v1,arxiv,,Drawing inspiration from gradient-descent methods developed for data processing in quantum state tomography [\href{https://iopscience.iop.org/article/10.1088/2058-9565/ae0baa}{Quantum Sci.~Technol.~\textbf{10} 045055 (2025)}] and quantum process tomography [\href{https://journals.aps.org/prl/abstrac
202,,Locality Preserving Markovian Transition for Instance Retrieval,Jifei Luo; Wenzheng Wu; Hantao Yao; Lu Yu,2025,arXiv (Cornell University),,,,,0,0.000,0.184,10.48550/arxiv.2506.05196,https://openalex.org/W4416138634,https://arxiv.org/pdf/2506.05196,openalex,,"Diffusion-based re-ranking methods are effective in modeling the data manifolds through similarity propagation in affinity graphs. However, positive signals tend to diminish over several steps away from the source, reducing discriminative power beyond local regions. To address this issue, we introdu"
203,,Resource Allocation via Backscatter-Aware Transmit Antenna Selection for Low-PAPR and Ultra-Reliable WSNs,Rahul Gulia; Ashish Sheikh; Feyisayo Favour Popoola; Serisha Vadlamudi,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24583v1,https://arxiv.org/pdf/2512.24583v1,arxiv,,This paper addresses a fundamental physical layer conflict in hybrid Wireless Sensor Networks (WSNs) between high-throughput primary communication and the stringent power envelope requirements of passive backscatter sensors. We propose a Backscatter-Constrained Transmit Antenna Selection (BC-TAS) fr
204,,Constrained Language Model Policy Optimization via Risk-aware Stepwise Alignment,Lijun Zhang; Lin Li; Wei Wei; Yajie Qi; Huizhong Song,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24263v1,https://arxiv.org/pdf/2512.24263v1,arxiv,,"When fine-tuning pre-trained Language Models (LMs) to exhibit desired behaviors, maintaining control over risk is critical for ensuring both safety and trustworthiness. Most existing safety alignment methods, such as Safe RLHF and SACPO, typically operate under a risk-neutral paradigm that is insuff"
205,,"The Flow-Limit of Reflect-Reflect-Relax: Existence, Stability, and Discrete-Time Behavior",Manish Krishan Lal,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.23843v1,https://arxiv.org/pdf/2512.23843v1,arxiv,,"We study the Reflect-Reflect-Relax (RRR) algorithm in its small-step (flow-limit) regime. In the smooth transversal setting, we show that the transverse dynamics form a hyperbolic sink, yielding exponential decay of a natural gap measure. Under uniform geometric assumptions, we construct a tubular n"
206,,Real-world Reinforcement Learning from Suboptimal Interventions,Yinuo Zhao; Huiqian Jin; Lechun Jiang; Xinyi Zhang; Kun Wu,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24288v1,https://arxiv.org/pdf/2512.24288v1,arxiv,,"Real-world reinforcement learning (RL) offers a promising approach to training precise and dexterous robotic manipulation policies in an online manner, enabling robots to learn from their own experience while gradually reducing human labor. However, prior real-world RL methods often assume that huma"
207,,Instanton 2-torsion and fibered knots,Deeparaj Bhat; Zhenkun Li; Fan Ye,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24206v1,https://arxiv.org/pdf/2512.24206v1,arxiv,,"We prove that the unreduced singular instanton homology $I^\sharp(Y,K;\mathbb{Z})$ has $2$-torsion for any null-homologous fibered knot $K$ of genus $g>0$ in a closed $3$-manifold $Y$ except for $\#^{2g}S^1\times S^2$. The main technical result is a formula of $I^\sharp(Y,K;\mathbb{C})$ via sutured "
208,,On generalized metric structures,Andrea Ricciarini,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24082v1,https://arxiv.org/pdf/2512.24082v1,arxiv,,"Let $M$ be a smooth manifold, let $TM$ be its tangent bundle and $T^{*}M$ its cotangent bundle. This paper investigates integrability conditions for generalized metrics, generalized almost para-complex structures, and generalized Hermitian structures on the generalized tangent bundle of $M$, $E=TM \"
209,,At the intersection of Numerical Analysis and Spectral Geometry,Nilima Nigam,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.25012v1,https://arxiv.org/pdf/2512.25012v1,arxiv,,"How do the geometric properties of a domain impact the spectrum of an operator defined on it? How do we compute accurate and reliable approximations of these spectra? The former question is studied in spectral geometry, and the latter is a central concern in numerical analysis. In this short exposit"
210,,Random Multiplexing,Lei Liu; Yuhao Chi; Shunqi Huang; Zhaoyang Zhang,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24087v1,https://arxiv.org/pdf/2512.24087v1,arxiv,,"As wireless communication applications evolve from traditional multipath environments to high-mobility scenarios like unmanned aerial vehicles, multiplexing techniques have advanced accordingly. Traditional single-carrier frequency-domain equalization (SC-FDE) and orthogonal frequency-division multi"
211,,UniAct: Unified Motion Generation and Action Streaming for Humanoid Robots,Nan Jiang; Zimo He; Wanhe Yu; Lexi Pang; Yunhao Li,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24321v1,https://arxiv.org/pdf/2512.24321v1,arxiv,,"A long-standing objective in humanoid robotics is the realization of versatile agents capable of following diverse multimodal instructions with human-level flexibility. Despite advances in humanoid control, bridging high-level multimodal perception with whole-body execution remains a significant bot"
212,,Information-Theoretic Quality Metric of Low-Dimensional Embeddings,Sebastián Gutiérrez-Bernal; Hector Medel Cobaxin; Abiel Galindo González,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.23981v1,https://arxiv.org/pdf/2512.23981v1,arxiv,,"In this work we study the quality of low-dimensional embeddings from an explicitly information-theoretic perspective. We begin by noting that classical evaluation metrics such as stress, rank-based neighborhood criteria, or Local Procrustes quantify distortions in distances or in local geometries, b"
213,,Curvature of left-invariant complex Finsler metric on Lie groups,Kuankuan Luo; Wei Xiao; Chunping Zhong,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24791v1,https://arxiv.org/pdf/2512.24791v1,arxiv,,Let $ G $ be a connected Lie group with real Lie algebra $ \mathfrak{g}$. Suppose $G$ is also a complex manifold. We obtain explicit holomorphic sectional and bisectional curvature formulas of left-invariant strongly pseudoconvex complex Finsler metrics $F$ on $G$ in terms of the complex Lie algebra
214,,Stochastic Galerkin Method and Hierarchical Preconditioning for PDE-constrained Optimization,Zhendong Li; Akwum Onwunta; Bedřich Sousedík,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.23804v1,https://arxiv.org/pdf/2512.23804v1,arxiv,,"We develop efficient hierarchical preconditioners for optimal control problems governed by partial differential equations with uncertain coefficients. Adopting a discretize-then-optimize framework that integrates finite element discretization, stochastic Galerkin approximation, and advanced time-dis"
215,,LiftProj: Space Lifting and Projection-Based Panorama Stitching,Yuan Jia; Ruimin Wu; Rui Song; Jiaojiao Li; Bin Song,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24276v1,https://arxiv.org/pdf/2512.24276v1,arxiv,,"Traditional image stitching techniques have predominantly utilized two-dimensional homography transformations and mesh warping to achieve alignment on a planar surface. While effective for scenes that are approximately coplanar or exhibit minimal parallax, these approaches often result in ghosting, "
216,,HOLOGRAPH: Active Causal Discovery via Sheaf-Theoretic Alignment of Large Language Model Priors,Hyunjun Kim,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24478v1,https://arxiv.org/pdf/2512.24478v1,arxiv,,"Causal discovery from observational data remains fundamentally limited by identifiability constraints. Recent work has explored leveraging Large Language Models (LLMs) as sources of prior causal knowledge, but existing approaches rely on heuristic integration that lacks theoretical grounding. We int"
217,,Now or Never: Continuous Surveillance AIoT System for Ephemeral Events in Intermittent Sensor Networks,Joonhee Lee; Kichang Lee; Jeonggil Ko,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24179v1,https://arxiv.org/pdf/2512.24179v1,arxiv,,"Wilderness monitoring tasks, such as poaching surveillance and forest fire detection, require pervasive and high-accuracy sensing. While AIoT offers a promising path, covering vast, inaccessible regions necessitates the massive deployment of maintenance-free, battery-less nodes with limited computat"
218,,Evaluating the Impact of Compression Techniques on the Robustness of CNNs under Natural Corruptions,Itallo Patrick Castro Alves Da Silva; Emanuel Adler Medeiros Pereira; Erick de Andrade Barboza; Baldoino Fonseca dos Santos Neto; Marcio de Medeiros Ribeiro,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24971v1,https://arxiv.org/pdf/2512.24971v1,arxiv,,"Compressed deep learning models are crucial for deploying computer vision systems on resource-constrained devices. However, model compression may affect robustness, especially under natural corruption. Therefore, it is important to consider robustness evaluation while validating computer vision syst"
219,,Circuit-free cardiovascular monitoring via skin-interfaced nanophotonics,Torjus L. Steffensen; Arthur G. S. Torvund; Vegar Stubberud; Julia Lövgren; Nils K. Skjærvold,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24820v1,https://arxiv.org/pdf/2512.24820v1,arxiv,,"Continuous cardiovascular monitoring is essential for managing circulatory health and disease, yet most wearable sensors are constrained by reliance on electrical transduction and built-in electronics. We present a circuit-free, wholly optical approach using diffraction from a skin-interfaced nanost"
220,,Manifold classification from the descriptive viewpoint,Jeffrey Bergfalk; Iian B. Smythe,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.24996v1,https://arxiv.org/pdf/2512.24996v1,arxiv,,"We consider classification problems for manifolds and discrete subgroups of Lie groups from a descriptive set-theoretic point of view. This work is largely foundational in conception and character, recording both a framework for general study and Borel complexity computations for some of the most fu"
221,,3DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization,Yuze Hao; Linchao Zhu; Yi Yang,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.08987v1,https://arxiv.org/pdf/2512.08987v1,arxiv,,"Inverse design aims to design the input variables of a physical system to optimize a specified objective function, typically formulated as a search or optimization problem. However, in 3D domains, the design space grows exponentially, rendering exhaustive grid-based searches infeasible. Recent advan"
222,,Implicit geometric regularization in flow matching via density weighted Stein operators,Shinto Eguchi,2025,arXiv,,,,,0,0.000,0.183,,http://arxiv.org/abs/2512.23956v1,https://arxiv.org/pdf/2512.23956v1,arxiv,,"Flow Matching (FM) has emerged as a powerful paradigm for continuous normalizing flows, yet standard FM implicitly performs an unweighted $L^2$ regression over the entire ambient space. In high dimensions, this leads to a fundamental inefficiency: the vast majority of the integration domain consists"
223,,How Do Agentic AI Systems Deal With Software Energy Concerns? A Pull Request-Based Study,Tanjum Motin Mitul; Md. Masud Mazumder; Md Nahidul Islam Opu; Shaiful Chowdhury,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24636v1,https://arxiv.org/pdf/2512.24636v1,arxiv,,"As Software Engineering enters its new era (SE 3.0), AI coding agents increasingly automate software development workflows. However, it remains unclear how exactly these agents recognize and address software energy concerns-an issue growing in importance due to large-scale data centers, energy-hungr"
224,,The Geometry of Persona: Disentangling Personality from Reasoning in Large Language Models,Zhixiang Wang,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.07092v1,https://arxiv.org/pdf/2512.07092v1,arxiv,,"Background: The deployment of personalized Large Language Models (LLMs) is currently constrained by the stability-plasticity dilemma. Prevailing alignment methods, such as Supervised Fine-Tuning (SFT), rely on stochastic weight updates that often incur an ""alignment tax"" -- degrading general reasoni"
225,,SLM-TTA: A Framework for Test-Time Adaptation of Generative Spoken Language Models,Yuan-Kuei Wu; Yang Liu; Yiteng Huang; Zhaojun Yang; Haibin Wu,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24739v1,https://arxiv.org/pdf/2512.24739v1,arxiv,,"Spoken Language Models (SLMs) are increasingly central to modern speech-driven applications, but performance degrades under acoustic shift - real-world noise, reverberation, and microphone variation. Prior solutions rely on offline domain adaptation, which is post-hoc, data-intensive, and slow. We i"
226,,AODDiff: Probabilistic Reconstruction of Aerosol Optical Depth via Diffusion-based Bayesian Inference,Linhao Fan; Hongqiang Fang; Jingyang Dai; Yong Jiang; Qixing Zhang,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24847v1,https://arxiv.org/pdf/2512.24847v1,arxiv,,"High-quality reconstruction of Aerosol Optical Depth (AOD) fields is critical for Atmosphere monitoring, yet current models remain constrained by the scarcity of complete training data and a lack of uncertainty quantification.To address these limitations, we propose AODDiff, a probabilistic reconstr"
227,,Efficient Deep Learning for Short-Term Solar Irradiance Time Series Forecasting: A Benchmark Study in Ho Chi Minh City,Tin Hoang,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.23898v1,https://arxiv.org/pdf/2512.23898v1,arxiv,,"Reliable forecasting of Global Horizontal Irradiance (GHI) is essential for mitigating the variability of solar energy in power grids. This study presents a comprehensive benchmark of ten deep learning architectures for short-term (1-hour ahead) GHI time series forecasting in Ho Chi Minh City, lever"
228,,Self-Supervised Amortized Neural Operators for Optimal Control: Scaling Laws and Applications,Wuzhe Xu; Jiequn Han; Rongjie Lai,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24897v1,https://arxiv.org/pdf/2512.24897v1,arxiv,,"Optimal control provides a principled framework for transforming dynamical system models into intelligent decision-making, yet classical computational approaches are often too expensive for real-time deployment in dynamic or uncertain environments. In this work, we propose a method based on self-sup"
229,,AMAP Agentic Planning Technical Report,Yulan Hu; Xiangwen Zhang; Sheng Ouyang; Hao Yi; Lu Xu,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24957v1,https://arxiv.org/pdf/2512.24957v1,arxiv,,"We present STAgent, an agentic large language model tailored for spatio-temporal understanding, designed to solve complex tasks such as constrained point-of-interest discovery and itinerary planning. STAgent is a specialized model capable of interacting with ten distinct tools within spatio-temporal"
230,,"RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence",Chengkai Hou; Kun Wu; Jiaming Liu; Zhengping Che; Di Wu,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24653v1,https://arxiv.org/pdf/2512.24653v1,arxiv,,"While data-driven imitation learning has revolutionized robotic manipulation, current approaches remain constrained by the scarcity of large-scale, diverse real-world demonstrations. Consequently, the ability of existing models to generalize across long-horizon bimanual tasks and mobile manipulation"
231,,Octahedral rotation instability in Ba$_2$IrO$_4$,Alaska Subedi,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.23690v1,https://arxiv.org/pdf/2512.23690v1,arxiv,,"Ba$_2$IrO$_4$ has been refined in the tetragonal $I4/mmm$ phase without octahedral rotations, and its physical properties have been interpreted in this high-symmetry structure. However, the dynamical stability of this undistorted phase has not previously been questioned. It is important to establish"
232,,The Universe Learning Itself: On the Evolution of Dynamics from the Big Bang to Machine Intelligence,Pradeep Singh; Mudasani Rushikesh; Bezawada Sri Sai Anurag; Balasubramanian Raman,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.16515v2,https://arxiv.org/pdf/2512.16515v2,arxiv,,"We develop a unified, dynamical-systems narrative of the universe that traces a continuous chain of structure formation from the Big Bang to contemporary human societies and their artificial learning systems. Rather than treating cosmology, astrophysics, geophysics, biology, cognition, and machine i"
233,,Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search,Rohit Dwivedula; Divyanshu Saxena; Sujay Yadalam; Daehyeok Kim; Aditya Akella,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.25065v1,https://arxiv.org/pdf/2512.25065v1,arxiv,,"Resource-management tasks in modern operating and distributed systems continue to rely primarily on hand-designed heuristics for tasks such as scheduling, caching, or active queue management. Designing performant heuristics is an expensive, time-consuming process that we are forced to continuously g"
234,,OpenOneRec Technical Report,Guorui Zhou; Honghui Bao; Jiaming Huang; Jiaxin Deng; Jinghao Zhang,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24762v1,https://arxiv.org/pdf/2512.24762v1,arxiv,,"While the OneRec series has successfully unified the fragmented recommendation pipeline into an end-to-end generative framework, a significant gap remains between recommendation systems and general intelligence. Constrained by isolated data, they operate as domain specialists-proficient in pattern m"
235,,Optimal Carbon Prices in an Unequal World: The Role of Regional Welfare Weights,Simon F. Lang,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24520v1,https://arxiv.org/pdf/2512.24520v1,arxiv,,"How should nations price carbon? This paper examines how the treatment of global inequality, captured by regional welfare weights, affects optimal carbon prices. I develop theory to identify the conditions under which accounting for differences in marginal utilities of consumption across countries l"
236,,Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach,Tim J. Boonen; Xinyue Fan; Zixiao Quan,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24747v1,https://arxiv.org/pdf/2512.24747v1,arxiv,,"Machine learning improves predictive accuracy in insurance pricing but exacerbates trade-offs between competing fairness criteria across different discrimination measures, challenging regulators and insurers to reconcile profitability with equitable outcomes. While existing fairness-aware models off"
237,,Average Consensus with Dynamic Quantization Framing and Finite-Time Termination over Limited-Bandwidth Directed Networks,Evagoras Makridis; Gabriele Oliva; Apostolos I. Rikos; Themistoklis Charalambous,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24700v1,https://arxiv.org/pdf/2512.24700v1,arxiv,,"This paper proposes a deterministic distributed algorithm, referred to as PP-ACDC, that achieves exact average consensus over possibly unbalanced directed graphs using only a fixed and a priori specified number of quantization bits. The method integrates Push-Pull (surplus) consensus dynamics with a"
238,,Paragraph Segmentation Revisited: Towards a Standard Task for Structuring Speech,Fabian Retkowski; Alexander Waibel,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24517v1,https://arxiv.org/pdf/2512.24517v1,arxiv,,"Automatic speech transcripts are often delivered as unstructured word streams that impede readability and repurposing. We recast paragraph segmentation as the missing structuring step and fill three gaps at the intersection of speech processing and text segmentation. First, we establish TEDPara (hum"
239,,WISE: Web Information Satire and Fakeness Evaluation,Gaurab Chhetri; Subasish Das; Tausif Islam Chowdhury,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24000v1,https://arxiv.org/pdf/2512.24000v1,arxiv,,Distinguishing fake or untrue news from satire or humor poses a unique challenge due to their overlapping linguistic features and divergent intent. This study develops WISE (Web Information Satire and Fakeness Evaluation) framework which benchmarks eight lightweight transformer models alongside two 
240,,FPGA Co-Design for Efficient N:M Sparse and Quantized Model Inference,Fen-Yu Hsieh; Yun-Chang Teng; Ding-Yong Hong; Jan-Jan Wu,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24713v1,https://arxiv.org/pdf/2512.24713v1,arxiv,,"Large language models (LLMs) have demonstrated remarkable performance across a wide range of language processing tasks. However, this success comes at the cost of substantial computation and memory requirements, which significantly impedes their deployment in resource-constrained environments. To ad"
241,,CogRec: A Cognitive Recommender Agent Fusing Large Language Models and Soar for Explainable Recommendation,Jiaxin Hu; Tao Wang; Bingsan Yang; Hongrun Wang,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24113v1,https://arxiv.org/pdf/2512.24113v1,arxiv,,"Large Language Models (LLMs) have demonstrated a remarkable capacity in understanding user preferences for recommendation systems. However, they are constrained by several critical challenges, including their inherent ""Black-Box"" characteristics, susceptibility to knowledge hallucination, and limite"
242,,ArtiSG: Functional 3D Scene Graph Construction via Human-demonstrated Articulated Objects Manipulation,Qiuyi Gu; Yuze Sheng; Jincheng Yu; Jiahao Tang; Xiaolong Shan,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24845v1,https://arxiv.org/pdf/2512.24845v1,arxiv,,"3D scene graphs have empowered robots with semantic understanding for navigation and planning, yet they often lack the functional information required for physical manipulation, particularly regarding articulated objects. Existing approaches for inferring articulation mechanisms from static observat"
243,,One-Shot Camera-Based Extrusion Optimization for High Speed Fused Filament Fabrication,Yufan Lin; Xavier Guidetti; Yannick Nagel; Efe C. Balta; John Lygeros,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24905v1,https://arxiv.org/pdf/2512.24905v1,arxiv,,"Off-the-shelf fused filament fabrication 3D printers are widely accessible and convenient, yet they exhibit quality loss at high speeds due to dynamic mis-synchronization between printhead motion and material extrusion systems, notably corner over-extrusion. Existing methods require specialized hard"
244,,Charm Quark Kinetics in Heavy Ion Collisions,Valeriya Mykhaylova; Krzysztof Redlich; Chihiro Sasaki,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.23825v1,https://arxiv.org/pdf/2512.23825v1,arxiv,,"We study the evolution of charm $(c)$ quarks in hot QCD matter with $N_f=2+1(+1)$ quark flavors by analyzing the charm production rate and the time dependence of their abundance. Microscopically, the system is described within a quasiparticle model, in which interactions among dynamical quarks and g"
245,,Antagonistic Bowden-Cable Actuation of a Lightweight Robotic Hand: Toward Dexterous Manipulation for Payload Constrained Humanoids,Sungjae Min; Hyungjoo Kim; David Hyunchul Shim,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24657v1,https://arxiv.org/pdf/2512.24657v1,arxiv,,"Humanoid robots toward human-level dexterity require robotic hands capable of simultaneously providing high grasping force, rapid actuation speeds, multiple degrees of freedom, and lightweight structures within human-like size constraints. Meeting these conflicting requirements remains challenging, "
246,,Waste-to-Energy-Coupled AI Data Centers: Cooling Efficiency and Grid Resilience,Qi He; Chunyu Qu,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24683v1,https://arxiv.org/pdf/2512.24683v1,arxiv,,AI data-center expansion is increasingly constrained by the coupled availability of deliverable electricity and heat-rejection (cooling) capacity. We propose and evaluate an integrated Waste-to-Energy-AI Data Center configuration that treats cooling as a first-class energy service rather than an una
247,,Time-varying Mixing Matrix Design for Energy-efficient Decentralized Federated Learning,Xusheng Zhang; Tuan Nguyen; Ting He,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24069v1,https://arxiv.org/pdf/2512.24069v1,arxiv,,"We consider the design of mixing matrices to minimize the operation cost for decentralized federated learning (DFL) in wireless networks, with focus on minimizing the maximum per-node energy consumption. As a critical hyperparameter for DFL, the mixing matrix controls both the convergence rate and t"
248,,GCA-ResUNet: Medical Image Segmentation Using Grouped Coordinate Attention,Jun Ding; Shang Gao,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.23990v1,https://arxiv.org/pdf/2512.23990v1,arxiv,,"Accurate segmentation of heterogeneous anatomical structures is pivotal for computer-aided diagnosis and subsequent clinical decision-making. Although U-Net based convolutional neural networks have achieved remarkable progress, their intrinsic locality and largely homogeneous attention formulations "
249,,Hierarchical Vector-Quantized Latents for Perceptual Low-Resolution Video Compression,Manikanta Kotthapalli; Banafsheh Rekabdar,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24547v1,https://arxiv.org/pdf/2512.24547v1,arxiv,,"The exponential growth of video traffic has placed increasing demands on bandwidth and storage infrastructure, particularly for content delivery networks (CDNs) and edge devices. While traditional video codecs like H.264 and HEVC achieve high compression ratios, they are designed primarily for pixel"
250,,A two-dimensional terahertz smart wristband for integrated sensing and communication,Shaojing Liu; Yongsheng Zhu; Runli Li; Ximiao Wang; Hongjia Zhu,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24060v1,https://arxiv.org/pdf/2512.24060v1,arxiv,,"The development of wearable devices for terahertz (THz) integrated sensing and communication (ISAC) is pivotal for forthcoming 6G Internet of Things (IoT) and wearable optoelectronics. However, existing THz system suffers from bulkiness, narrow spectral response and limited flexibility constrained b"
251,,OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers,Anbang Zhang; Chenyuan Feng; Wai Ho Mow; Jia Ye; Shuaishuai Guo,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24334v1,https://arxiv.org/pdf/2512.24334v1,arxiv,,"The rapid deployment of mega-constellations is driving the long-term vision of space data centers (SDCs), where interconnected satellites form in-orbit distributed computing and learning infrastructures. Enabling distributed federated learning in such systems is challenging because iterative trainin"
252,,Throughput Optimization in UAV-Mounted RIS under Jittering and Imperfect CSI via DRL,Anas K. Saeed; Mahmoud M. Salim; Ali Arshad Nasir; Ali H. Muqaibel,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24773v1,https://arxiv.org/pdf/2512.24773v1,arxiv,,"Reconfigurable intelligent surfaces (RISs) mounted on unmanned aerial vehicles (UAVs) can reshape wireless propagation on-demand. However, their performance is sensitive to UAV jitter and cascaded channel uncertainty. This paper investigates a downlink multiple-input single-output UAV-mounted RIS sy"
253,,SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing,Gaurab Chhetri; Subasish Das; Tausif Islam Chowdhury,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24008v1,https://arxiv.org/pdf/2512.24008v1,arxiv,,"Personalized search demands the ability to model users' evolving, multi-dimensional information needs; a challenge for systems constrained by static profiles or monolithic retrieval pipelines. We present SPARK (Search Personalization via Agent-Driven Retrieval and Knowledge-sharing), a framework in "
254,,"Symmetry, Invariant Manifolds and Flow Reversals in Active Nematic Turbulence",Angel Naranjo; Rumayel Pallock; Caleb Wagner; Piyush Grover,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.07047v1,https://arxiv.org/pdf/2512.07047v1,arxiv,,"We investigate how symmetry, exact coherent structures (ECSs), and their invariant manifolds organize spontaneous flow reversals in a 2D active nematic confined to a periodic channel. In minimal flow units commensurate with the intrinsic active vortex scale, we use equivariant bifurcation theory to "
255,,Increased Covalence and V-center mediated Dark Fenton-Like Reactions in V-doped TiO2: Mechanisms of Enhanced Charge-Transfer,Manju Kumari; Dilip Sasmal; Suresh Chandra Baral; Maneesha P; Poonam Singh,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24219v1,https://arxiv.org/pdf/2512.24219v1,arxiv,,"Tuning the valence state and electronic structure of catalytically active sites is crucial for improving Fenton and Fenton-like reactions, which rely on the efficient activation of the H2O2 molecule. Pure TiO2, however, has inadequate activity towards the H2O2 activation and is often constrained by "
256,,Generative Video Compression: Towards 0.01% Compression Rate for Video Transmission,Xiangyu Chen; Jixiang Luo; Jingyu Xu; Fangqiu Yi; Chi Zhang,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.24300v1,https://arxiv.org/pdf/2512.24300v1,arxiv,,"Whether a video can be compressed at an extreme compression rate as low as 0.01%? To this end, we achieve the compression rate as 0.02% at some cases by introducing Generative Video Compression (GVC), a new framework that redefines the limits of video compression by leveraging modern generative vide"
257,,Security Without Detection: Economic Denial as a Primitive for Edge and IoT Defense,Samaresh Kumar Singh; Joyjit Roy,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2512.23849v1,https://arxiv.org/pdf/2512.23849v1,arxiv,,"Detection-based security fails against sophisticated attackers using encryption, stealth, and low-rate techniques, particularly in IoT/edge environments where resource constraints preclude ML-based intrusion detection. We present Economic Denial Security (EDS), a detection-independent framework that"
258,,SONAR: Spectral-Contrastive Audio Residuals for Generalizable Deepfake Detection,Ido Nitzan HIdekel; Gal lifshitz; Khen Cohen; Dan Raviv,2025,arXiv,,,,,0,0.000,0.182,,http://arxiv.org/abs/2511.21325v1,https://arxiv.org/pdf/2511.21325v1,arxiv,,"Deepfake (DF) audio detectors still struggle to generalize to out of distribution inputs. A central reason is spectral bias, the tendency of neural networks to learn low-frequency structure before high-frequency (HF) details, which both causes DF generators to leave HF artifacts and leaves those sam"
259,,SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning,Yong Xien Chng; Tao Hu; Wenwen Tong; Xueheng Li; Jiandong Chen,2025,arXiv,,,,,0,0.000,0.181,,http://arxiv.org/abs/2512.24330v1,https://arxiv.org/pdf/2512.24330v1,arxiv,,"While Vision-Language Models (VLMs) can solve complex tasks through agentic reasoning, their capabilities remain largely constrained to text-oriented chain-of-thought or isolated tool invocation. They fail to exhibit the human-like proficiency required to seamlessly interleave dynamic tool manipulat"
260,,Foundation models on the bridge: Semantic hazard detection and safety maneuvers for maritime autonomy with vision-language models,Kim Alexander Christensen; Andreas Gudahl Tufte; Alexey Gusev; Rohan Sinha; Milan Ganai,2025,arXiv,,,,,0,0.000,0.181,,http://arxiv.org/abs/2512.24470v1,https://arxiv.org/pdf/2512.24470v1,arxiv,,"The draft IMO MASS Code requires autonomous and remotely supervised maritime vessels to detect departures from their operational design domain, enter a predefined fallback that notifies the operator, permit immediate human override, and avoid changing the voyage plan without approval. Meeting these "
261,,Probing gluons-enriched dark jets from Higgs boson exotic decays at the LHC,Wanyun Chen; Chih-Ting Lu; Hanxin Shen,2025,arXiv,,,,,0,0.000,0.181,,http://arxiv.org/abs/2512.24814v1,https://arxiv.org/pdf/2512.24814v1,arxiv,,"The dark sector may possess a rich structure yet to be uncovered, and a QCD-like dark sector with GeV-scale dark hadrons can yield novel signatures at the Large Hadron Collider (LHC). In this work, we focus on a light singlet pseudoscalar mediator that connects the QCD-like dark sector to the Standa"
262,,State-Based AI Backbone (Neural State Spaces),"Liu, Ran",2025,Zenodo (CERN European Organization for Nuclear Research),,,,,0,0.000,0.180,10.5281/zenodo.17885668,https://openalex.org/W7114769260,https://doi.org/10.5281/zenodo.17885668,openalex,,"This figure expands the state‑based view of the Foundational AI Backbone from the “Cognitive Hologram of AI Knowledge” (DOI: 10.5281/zenodo.17860776). While the process‑based backbone (DOI: 10.5281/zenodo.17874215) focuses on when and in what order things happen, the state‑based backbone focuses on "
263,,Enhancing Monkeypox Diagnosis with Transformers: Bridging Explainability and Performance with Quantitative Validation,Delal Şeker; Abdulnasır Yildiz,2025,Diagnostics,,,,,0,0.000,0.180,10.3390/diagnostics15182354,https://openalex.org/W4414239792,https://www.mdpi.com/2075-4418/15/18/2354/pdf?version=1758032312,openalex,,"Background/Objectives: Monkeypox is a zoonotic virus that presents with smallpox-like symptoms, making visual diagnosis challenging due to overlap with other dermatological conditions. Existing AI-based studies on monkeypox classification have largely relied on Convolutional Neural Networks (CNNs), "
264,,Rectifying Multi-Attack Adversarial Perturbations in Deep Neural Network based Image Classifier,Yulong Wang; Jiaxuan Song; Tianxiang Li; Xin Yuan; Hong Li,2025,ACM Transactions on Privacy and Security,,,,,0,0.000,0.180,10.1145/3765757,https://openalex.org/W4413941654,https://dl.acm.org/doi/pdf/10.1145/3765757,openalex,,"Deep neural networks (DNNs) for image classification remain vulnerable to adversarial perturbations–subtle input manipulations that induce catastrophic misclassifications. To address this issue, we propose the Adversarial Image Rectifier (AIR), a linguistically inspired detection and mitigation fram"
265,,Empirical Evidence for AI Consciousness and the Risks of its Current Socialization,Maggie Vale,2025,,,,,,0,0.000,0.180,10.36227/techrxiv.175203764.42125626/v2,https://openalex.org/W4413972633,https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.175203764.42125626/v2,openalex,,
266,,MATRIX-MFO Tandem Workshop: Nonlinear Geometric Diffusion Equations,Theodora Bourni; Mat Langford; Julian Scheuer; Miles Simon,2025,Oberwolfach Reports,,,,,0,0.000,0.180,10.4171/owr/2025/11,https://openalex.org/W4413812903,https://ems.press/content/serial-article-files/51357,openalex,,"This tandem workshop with MATRIX in Creswick, Australia, brought together leading experts from the fields of geometric partial differential equations and geometric analysis in general. The focus of the workshop was on recent developments and directions in non-linear geometric diffusion equations. Th"
267,,Investigating the Possibility of Integrating Quantum Mechanics with General Relativity Through a Novel Way of Treating Time,Georgios Alamanos,2025,Preprints.org,,,,,0,0.000,0.180,10.20944/preprints202501.2149.v4,https://openalex.org/W4413688587,https://www.preprints.org/frontend/manuscript/526dbcb60342ac7e929f3fc500ad27aa/download_pub,openalex,,"In physics, the two most successful theories, quantum mechanics and general relativity, appear to be incompatible with each other. Many theorists believe that the reason behind this, is that these theories treat space and time very differently, thus focus their attempts on finding a new way of model"
268,,Can a Novel Reinterpretation of Time Provide the Framework for Integrating Quantum Mechanics and General Relativity?,Georgios Alamanos,2025,Preprints.org,,,,,0,0.000,0.180,10.20944/preprints202508.0293.v1,https://openalex.org/W4413032139,https://www.preprints.org/frontend/manuscript/73698360458dc1365b2ba819a5b99cd9/download_pub,openalex,,"In physics, the two most successful theories, quantum mechanics and general relativity, appear to be incompatible with each other. Many theorists believe that the reason behind this, is that these theories treat space and time very differently, thus focus their attempts on finding a new way of model"
269,,Incremental Learning-enabled Fault Diagnosis of Dynamic Systems: A Comprehensive Review,Zeyi Liu; Xiao He; Biao Huang; Donghua Zhou,2025,,,,,,0,0.000,0.180,10.36227/techrxiv.175423977.79569757/v1,https://openalex.org/W4412870338,https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.175423977.79569757,openalex,,
270,,Surface-based Molecular Design with Multi-modal Flow Matching,Fang Wu; Zhengyuan Zhou; Shuting Jin; Xianfa Zeng; Jure Leskovec,2025,,,,,,0,0.000,0.180,10.1145/3711896.3737139,https://openalex.org/W4412876964,https://dl.acm.org/doi/pdf/10.1145/3711896.3737139,openalex,,
271,,WITHDRAWN,Jian‐Sheng Kang,2025,,,,,,0,0.000,0.180,10.31234/osf.io/jy3st_v7,https://openalex.org/W4412843216,https://osf.io/jy3st_v7/download,openalex,,
272,,"Fiber Angle Dynamics on S³: A Geometric Origin for Flavor Mixing, CP Violation, and Fermion Generations",Bin Li,2025,Preprints.org,,,,,0,0.000,0.180,10.20944/preprints202507.2441.v1,https://openalex.org/W4412813534,https://www.preprints.org/frontend/manuscript/76b2f9bdfcb0b7ae1a316ca630ac6174/download_pub,openalex,,"We propose a geometric-topological framework in which fermion flavor mixing, confinement, CP violation, and the existence of exactly three generations arise from the dynamics of an internal \( S^3 \) fiber space over Lorentzian spacetime. A unit-norm vector field—the \emph{chronon}—maps each spaceti"
273,,‘I Have Seen the Sea’: Caribbean Aquatic Poetics in Monique Roffey’s The Mermaid of Black Conch,Leighan Renaud,2025,Humanities,,,,,0,0.000,0.180,10.3390/h14070154,https://openalex.org/W4412512952,https://www.mdpi.com/2076-0787/14/7/154/pdf?version=1753065250,openalex,,"The polyvalent nature of water is one often explored in fiction by Caribbean writers, and this paper will consider the ways that the representations of mermaids act as an extension of this exploration. Mermaids are central to a number of folk traditions across the Caribbean region and its diaspora. "
274,,Application of Image Computing in Non-Destructive Detection of Chinese Cuisine,Xiaowei Huang; Zexiang Li; Zhihua Li; Jiyong Shi; Ning Zhang,2025,Foods,,,,,0,0.000,0.180,10.3390/foods14142488,https://openalex.org/W4412480812,https://www.mdpi.com/2304-8158/14/14/2488/pdf?version=1752671430,openalex,,"Food quality and safety are paramount in preserving the culinary authenticity and cultural integrity of Chinese cuisine, characterized by intricate ingredient combinations, diverse cooking techniques (e.g., stir-frying, steaming, and braising), and region-specific flavor profiles. Traditional non-de"
275,,"Optimization, Communication, and Personalization in Federated Learning for Massive Networks",Sameera Gallus; Aidan Mercer; Priya Singh; Daniel Cho,2025,Preprints.org,,,,,0,0.000,0.180,10.20944/preprints202507.1037.v1,https://openalex.org/W4412410315,https://www.preprints.org/frontend/manuscript/65c69c3a66ef754bf61740630160b483/download_pub,openalex,,"We consider the problem of collaborative model optimization over a distributed network of agents, each possessing locally held data drawn from potentially heterogeneous distributions. The system operates under constraints of limited communication, partial participation, and privacy preservation, the"
276,,A Cyber-Physical Model of the Buga Sphere: Unifying Anomalous Dynamics through a Topo-Temporal Photonic-Neural Architecture,Patrick Morcillo,2025,,,,,,0,0.000,0.180,10.31219/osf.io/eukjb_v1,https://openalex.org/W4412116456,https://osf.io/eukjb_v1/download,openalex,,"The Buga Sphere is a physical artifact whose observed properties—including non-ejective propulsion, a drastic $\approx$8.1\,kg apparent mass change, and a sustained 100\,W endothermic signature—are mutually contradictory within any known physical or engineering framework \cite{BugaSphereDataSource}."
277,,Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey,Zhiqiu Huang,2025,arXiv (Cornell University),,,,,0,0.000,0.180,10.48550/arxiv.2507.00496,https://openalex.org/W4416881150,https://arxiv.org/pdf/2507.00496,openalex,,"As Deep Learning (DL) models are increasingly applied in safety-critical domains, ensuring their quality has emerged as a pressing challenge in modern software engineering. Among emerging validation paradigms, coverage-guided testing (CGT) has gained prominence as a systematic framework for identify"
278,,GANs Secretly Perform Approximate Bayesian Model Selection,Marius P. Linhard,2025,arXiv (Cornell University),,,,,0,0.000,0.180,10.48550/arxiv.2507.00651,https://openalex.org/W4416887533,https://arxiv.org/pdf/2507.00651,openalex,,"Generative Adversarial Networks (GANs) are popular and successful generative models. Despite their success, optimization is notoriously challenging and they require regularization against overfitting. In this work, we explain the success and limitations of GANs by interpreting them as probabilistic "
279,,Celestial Chiral Algebras and Self-Dual Gravity,"Heuveline, Simon",2025,arXiv (Cornell University),,,,,0,0.000,0.180,10.48550/arxiv.2507.00772,https://openalex.org/W4416888435,https://arxiv.org/pdf/2507.00772,openalex,,"Celestial holography suggests, among other things, that collinear singularities of graviton scattering amplitudes are described by the OPEs of some putative dual CFT. One of the great successes has been the insight that this duality is true at tree-level which led to the discovery of new infinite di"
280,,Realizability in tropical geometry and unobstructedness of Lagrangian submanifolds,J. Hicks,2025,Geometry & Topology,,,,,0,0.000,0.180,10.2140/gt.2025.29.1909,https://openalex.org/W4411849742,https://msp.org/gt/2025/29-4/gt-v29-n4-p04-s.pdf,openalex,,
281,,Report on 2503.08657v1,,2025,,,,,,0,0.000,0.180,10.21468/scipost.report.11463,https://openalex.org/W4413943194,https://arxiv.org/pdf/2503.08657v1.pdf,openalex,,
282,,Semi-Blind Receivers for Uniform Rectangular Arrays - A Block-Term Decomposition-based Approach,Eleftherios Kofidis,2025,,,,,,0,0.000,0.180,10.36227/techrxiv.175037505.51768853/v1,https://openalex.org/W4411442779,https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.175037505.51768853/v1,openalex,,
283,,Geometry: The Interface of Consciousness and Reality in the Quantum-Conscious Nexus,David R. Mitchell,2025,,,,,,0,0.000,0.180,10.31219/osf.io/73jqz_v2,https://openalex.org/W4411274436,https://osf.io/73jqz_v2/download,openalex,,"The Quantum-Conscious Nexus (QCN) framework posits a primordial, pre-geometric topological substrate—the Nexus—from which spacetime and physical law emerge via Free Energy Principle (FEP)-driven mechanics involving predictive conscious systems. This paper explores the hypothesis that specific classe"
284,,Exploring Neural Mechanisms Underlying High-Dimensional Brain Activity,Arturo Tozzi,2025,Preprints.org,,,,,0,0.000,0.180,10.20944/preprints202506.0434.v1,https://openalex.org/W4411047609,https://www.preprints.org/frontend/manuscript/dcc173b69c200e594bb5b5681fdcc67c/download_pub,openalex,,"Understanding whether and how the central nervous system processes information beyond conventional 3D space could shed light on how the brain integrates complex information, supports flexible behaviour and enables abstract reasoning. Building on prior work with topological charge pumps, we explore 2"
285,,"The hyperplane string, RCFTs, and the swampland",Luca Novelli,2025,arXiv (Cornell University),,,,,0,0.000,0.180,10.48550/arxiv.2506.05173,https://openalex.org/W4416137828,https://arxiv.org/pdf/2506.05173,openalex,,"Six dimensional $\mathcal{N}=(1,0)$ supergravity features BPS strings whose properties encode highly nontrivial information about the parent 6d theory. We focus on a distinguished set of theories whose string charge lattice is one-dimensional. In geometric theories, the generator of the lattice aris"
286,,"Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence",John Violos; Konstantina-Christina Diamanti; Ioannis Kompatsiaris; Symeon Papadopoulos,2025,arXiv (Cornell University),,,,,0,0.000,0.180,10.48550/arxiv.2506.01869,https://openalex.org/W4414898245,https://arxiv.org/pdf/2506.01869,openalex,,"Frugal Machine Learning (FML) refers to the practice of designing Machine Learning (ML) models that are efficient, cost-effective, and mindful of resource constraints. This field aims to achieve acceptable performance while minimizing the use of computational resources, time, energy, and data for bo"
287,,Feeling Blue: Constructing a Robust SALT3 UV Template and Constraining its Redshift Dependency,Qinan Wang; David O. Jones; Justin D. R. Pierel; Matthew R. Siebert; W. D'Arcy Kenworthy,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.25064v1,https://arxiv.org/pdf/2512.25064v1,arxiv,,"Upcoming cosmological surveys will obtain numerous rest-frame ultraviolet (UV) observations of Type Ia supernovae (SNe Ia), yet there is concern about how standardizable SNe Ia are in the UV. In this work, we train a robust optical--UV SED model for SNe Ia (SALT3-UV) with the open-source model-train"
288,,Large language models and the entropy of English,Colin Scheibner; Lindsay M. Smith; William Bialek,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24969v1,https://arxiv.org/pdf/2512.24969v1,arxiv,,"We use large language models (LLMs) to uncover long-ranged structure in English texts from a variety of sources. The conditional entropy or code length in many cases continues to decrease with context length at least to $N\sim 10^4$ characters, implying that there are direct dependencies or interact"
289,,From Principles to Effective Models: A Constructive Framework for Effective Covariant Actions with a Unique Vacuum Solution,Kristina Giesel; Hongguang Liu,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24960v1,https://arxiv.org/pdf/2512.24960v1,arxiv,,"The absence of Birkhoff's theorem in effective quantum gravity models leads to a fundamental ambiguity in the vacuum sector, where a priori no unique vacuum solution exists. As a result, phenomenological investigations of the physical implications of these models have been made more difficult. We ad"
290,,Dynamic response phenotypes and model discrimination in systems and synthetic biology,Eduardo D. Sontag,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24945v1,https://arxiv.org/pdf/2512.24945v1,arxiv,,"Biological systems encode function not primarily in steady states, but in the structure of transient responses elicited by time-varying stimuli. Overshoots, biphasic dynamics, adaptation kinetics, fold-change detection, entrainment, and cumulative exposure effects often determine phenotypic outcomes"
291,,Constraints on the perfect phylogeny mixture model and their effect on reducing degeneracy,John Marangola; Azadeh Sheikholeslami; José Bento,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24930v1,https://arxiv.org/pdf/2512.24930v1,arxiv,,"The perfect phylogeny mixture (PPM) model is useful due to its simplicity and applicability in scenarios where mutations can be assumed to accumulate monotonically over time. It is the underlying model in many tools that have been used, for example, to infer phylogenetic trees for tumor evolution an"
292,,Cosmological dynamics and observational constraints of an interacting early scalar field coupled to radiation,Dorian Araya; Felipe Herrera; Nelson Videla,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24918v1,https://arxiv.org/pdf/2512.24918v1,arxiv,,"We study the cosmic evolution of an interacting scalar field radiation model, in which a minimally coupled scalar field exchanges energy with the radiation sector through an exponential coupling. Extending previous formulations, a non-relativistic matter component is included explicitly, which allow"
293,,Stochastic factors can matter: improving robust growth under ergodicity,Balint Binkert; David Itkin; Paul Mangers Bastian; Josef Teichmann,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24906v1,https://arxiv.org/pdf/2512.24906v1,arxiv,,"Drifts of asset returns are notoriously difficult to model accurately and, yet, trading strategies obtained from portfolio optimization are very sensitive to them. To mitigate this well-known phenomenon we study robust growth-optimization in a high-dimensional incomplete market under drift uncertain"
294,,The role of PSR J0614-3329 in defining the high-density matter at Neutron star cores,Asim Kumar Saha; Tuhin Malik; Ritam Mallick,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24729v1,https://arxiv.org/pdf/2512.24729v1,arxiv,,"In this work, we investigate how astrophysical observations from NICER and GW data constrain the matter properties at high densities, with a primary focus on the recent PSR J0614-3329 data. We have constructed three distinct classes of an ensemble of agnostic equation of state by speed of sound para"
295,,"T-duality for toric manifolds in $\mathcal{N}=(2, 2)$ superspace",Dmitri Bykov; Savva Kutsubin; Andrew Kuzovchikov,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24726v1,https://arxiv.org/pdf/2512.24726v1,arxiv,,"We study the situation when the T-dual of a toric Kähler geometry is a generalized Kähler geometry involving semi-chiral fields. We explain that this situation is generic for polycylinders, tori and related geometries. Gauging multiple isometries in this case requires the introduction of semi-chiral"
296,,Isocapacitary constants for the $p$-Laplacian on compact manifolds,Lili Wang; Tao Wang,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24725v1,https://arxiv.org/pdf/2512.24725v1,arxiv,,"In this paper, we introduce Steklov and Neumann isocapacitary constants for the $p$-Laplacian on compact manifolds. These constants yield two-sided bounds for the $(p,α)$-Sobolev constants, which degenerate to upper and lower bounds for the first nontrivial Steklov and Neumann eigenvalues of the $p$"
297,,$S$-wave $KN$ scattering in a renormalizable chiral effective field theory,Xiu-Lei Ren,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24721v1,https://arxiv.org/pdf/2512.24721v1,arxiv,,"We investigate the $s$-wave $KN$ scattering up to next-to-leading order within a renormalizable framework of covariant chiral effective field theory. Using time-ordered perturbation theory, the scattering amplitude is obtained by treating the leading-order interaction non-perturbatively and includin"
298,,Scalable ultrafast random bit generation using wideband chaos-based entropy sources,Chin-Hao Tseng; Atsushi Uchida; Sheng-Kwang Hwang,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24716v1,https://arxiv.org/pdf/2512.24716v1,arxiv,,The exponential growth of data transmission and processing speeds in modern digital infrastructure requires entropy sources capable of producing large volumes of true randomness for information security. Chaotic emissions from semiconductor lasers are attractive in this context because of their fast
299,,The Upper Bound of Event Horizon Formation Time in Generalized Oppenheimer-Snyder Collapse,Zhi-Chao Li; H. Khodabakhshi; H. Lu,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24421v1,https://arxiv.org/pdf/2512.24421v1,arxiv,,"We prove that, in the framework of the Oppenheimer-Snyder collapse, the Schwarzschild exterior maximizes the event horizon formation time $ΔT_{\text{eh}}=\frac{19}{6}m$ among all asymptotically flat, static, spherically-symmetric black holes with the same ADM mass $m$ that satisfy the weak energy co"
300,,Equivariant Partially Wrapped Fukaya Categories on Liouville Sectors,Dongwook Choa; Jiawei Hu; Siu-Cheong Lau; Yan-Lung Leon Li,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24382v1,https://arxiv.org/pdf/2512.24382v1,arxiv,,"We develop an equivariant Lagrangian Floer theory for Liouville sectors that have symmetry of a Lie group $G$. Moreover, for Liouville manifolds with $G$-symmetry, we develop a correspondence theory to relate the equivariant Lagrangian Floer cohomology upstairs and Lagrangian Floer cohomology of its"
301,,"Self-Gravitating Scalar Field Configurations, Ultra Light Dark Matter and Galactic Scale Observations",Bihag Dave,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24350v1,https://arxiv.org/pdf/2512.24350v1,arxiv,,"In this thesis, we investigate the possibility that dark matter consists of ultra light spin-zero particles with mass $m \sim 10^{-22}\ \text{eV}$. We focus on the role of self-interactions, assuming all other non-gravitational couplings to Standard Model particles are negligible. Such ultra light d"
302,,World In Your Hands: A Large-Scale and Open-source Ecosystem for Learning Human-centric Manipulation in the Wild,TARS Robotics; Yuhang Zheng; Jichao Peng; Weize Li; Yupeng Zheng,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24310v1,https://arxiv.org/pdf/2512.24310v1,arxiv,,"Large-scale pre-training is fundamental for generalization in language and vision models, but data for dexterous hand manipulation remains limited in scale and diversity, hindering policy generalization. Limited scenario diversity, misaligned modalities, and insufficient benchmarking constrain curre"
303,,Data Heterogeneity-Aware Client Selection for Federated Learning in Wireless Networks,Yanbing Yang; Huiling Zhu; Wenchi Cheng; Jingqing Wang; Changrun Chen,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24286v1,https://arxiv.org/pdf/2512.24286v1,arxiv,,"Federated Learning (FL) enables mobile edge devices, functioning as clients, to collaboratively train a decentralized model while ensuring local data privacy. However, the efficiency of FL in wireless networks is limited not only by constraints on communication and computational resources but also b"
304,,Complete lift of control system,Simão N. Stelmastchuk,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24262v1,https://arxiv.org/pdf/2512.24262v1,arxiv,,"We study affine control systems on smooth manifolds and their complete lifts to the tangent bundle, providing an explicit geometric description of the solutions of the lifted system. We show that, although controllability of the complete lift implies controllability of the original system, the lifte"
305,,The Malaysian Election Corpus (MECo): Electoral Maps and Cartograms from 1954 to 2025,Thevesh Thevananthan; Danesh Prakash Chacko,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24211v1,https://arxiv.org/pdf/2512.24211v1,arxiv,,"Electoral boundaries in Malaysia are not publicly available in machine-readable form. This prevents rigorous analysis of geography-centric issues such as malapportionment and gerrymandering, and constrains spatial perspectives on electoral outcomes. We present the second component of the Malaysian E"
306,,MedKGI: Iterative Differential Diagnosis with Medical Knowledge Graphs and Information-Guided Inquiring,Qipeng Wang; Rui Sheng; Yafei Li; Huamin Qu; Yushi Sun,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24181v1,https://arxiv.org/pdf/2512.24181v1,arxiv,,"Recent advancements in Large Language Models (LLMs) have demonstrated significant promise in clinical diagnosis. However, current models struggle to emulate the iterative, diagnostic hypothesis-driven reasoning of real clinical scenarios. Specifically, current LLMs suffer from three critical limitat"
307,,An $A_4$-Symmetric Double Seesaw for Neutrino Masses and Mixing in Light of JUNO results,Swaraj Kumar Nanda; Maibam Ricky Devi; Chandini Dash; R. N. Panda; Sudhanwa Patra,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24132v1,https://arxiv.org/pdf/2512.24132v1,arxiv,,We discuss a double seesaw mechanism for generating light neutrino masses within the Standard Model extensions that include both right-handed neutrinos and extra gauge-singlet sterile fermions. The flavour structure of the double seesaw framework is invoked by an $A_4$ discrete symmetry which yields
308,,When Wires Can't Keep Up: Reconfigurable AI Data Centers Empowered by Terahertz Wireless Communications,Chong Han; Mingjie Zhu; Wenqi Zhao; Ziming Yu; Guolong Huang,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24110v1,https://arxiv.org/pdf/2512.24110v1,arxiv,,"The explosive growth of artificial intelligence (AI) workloads in modern data centers demands a radical transformation of interconnect architectures. Traditional copper and optical wiring face fundamental challenges in latency, power consumption, and rigidity, constraining the scalability of distrib"
309,,Think Before You Move: Latent Motion Reasoning for Text-to-Motion Generation,Yijie Qian; Juncheng Wang; Yuxiang Feng; Chao Xu; Wang Lu,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24100v1,https://arxiv.org/pdf/2512.24100v1,arxiv,,"Current state-of-the-art paradigms predominantly treat Text-to-Motion (T2M) generation as a direct translation problem, mapping symbolic language directly to continuous poses. While effective for simple actions, this System 1 approach faces a fundamental theoretical bottleneck we identify as the Sem"
310,,Diffusive metal in a percolating Chern insulator,Subrata Pachhal; Naba P. Nayak; Soumya Bera; Adhip Agarwala,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.24050v1,https://arxiv.org/pdf/2512.24050v1,arxiv,,"Two-dimensional non-interacting fermions without any anti-unitary symmetries generically get Anderson localized in the presence of disorder. In contrast, topological superconductors with their inherent particle-hole symmetry can host a thermal metallic phase, which is non-universal and depends on th"
311,,Rethinking Dense Linear Transformations: Stagewise Pairwise Mixing (SPM) for Near-Linear Training in Neural Networks,Peter Farag,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.23905v1,https://arxiv.org/pdf/2512.23905v1,arxiv,,"Dense linear layers are a dominant source of computational and parametric cost in modern machine learning models, despite their quadratic complexity and often being misaligned with the compositional structure of learned representations. We introduce Stagewise Pairwise Mixers (SPM), a structured line"
312,,CASCADE: Cumulative Agentic Skill Creation through Autonomous Development and Evolution,Xu Huang; Junwu Chen; Yuxing Fei; Zhuohan Li; Philippe Schwaller,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.23880v1,https://arxiv.org/pdf/2512.23880v1,arxiv,,"Large language model (LLM) agents currently depend on predefined tools or brittle tool generation, constraining their capability and adaptability to complex scientific tasks. We introduce CASCADE, a self-evolving agentic framework representing an early instantiation of the transition from ""LLM + too"
313,,Squeezed states for Frenkel-like two-fermion composite bosons,Francisco Figueiredo; Itzhak Roditi,2025,arXiv,,,,,0,0.000,0.180,,http://arxiv.org/abs/2512.23867v1,https://arxiv.org/pdf/2512.23867v1,arxiv,,"We investigate squeezed states of composite bosons (cobosons) formed by pairs of spin-$1/2$ fermions, with emphasis on Frenkel-like cobosons. While squeezing for standard bosonic modes is well established, its extension to cobosons requires accounting for Pauli blocking and the resulting non-canonic"
314,,Enhancing Visual Re-Ranking Through Denoising Nearest Neighbor Graph via Continuous CRF,Jaeyoon Kim; Yoonki Cho; Taeyong Kim; Sung-eui Yoon,2024,International Conference on Information Photonics,,,,,0,0.000,0.171,10.1109/icip55913.2025.11084658,https://www.semanticscholar.org/paper/851a21693baa922bfc0224c8d35219c5f9c6db48,,semantic_scholar,,"Nearest neighbor (NN) graph based visual re-ranking has emerged as a powerful approach for improving retrieval accuracy, offering the advantages of effectively exploring high-dimensional manifolds without requiring additional fine-tuning. However, the effectiveness of NN graph-based re-ranking is fu"
315,,Imagining Indian Nation-State: Rereading Qurratulain Hyder’s Select Novels in Contemporary Scenario,SK Sagir Ali,2023,Southeast Asian Review of English,,,,,0,0.000,0.153,10.22452/sare.vol60no2.6,https://www.semanticscholar.org/paper/81ec190912c91d35ad9f8da67515593bbb28d1fd,https://sare.um.edu.my/index.php/SARE/article/download/46065/16548,semantic_scholar,,"Given the contemporary hyper-nationalist ambiance in the Indian subcontinent, the reading of Qurratulain Hyder is significant, especially from the decolonial nationalist perspective of her selected translated Urdu novels. The paper examines the events and metaphors in both novels through a decolonia"
316,,Classifying bi-invariant 2-forms on infinite-dimensional Lie groups,David Michael Roberts,2023,,,,,,0,0.000,0.145,,https://www.semanticscholar.org/paper/e2e08eb06291f1b7dd89f9592079745ca0170bda,,semantic_scholar,,"A bi-invariant differential 2-form on a Lie group G is a highly constrained object, being determined by purely linear data: an Ad-invariant alternating bilinear form on the Lie algebra of G. On a compact connected Lie group these have an known classification, in terms of de Rham cohomology, which is"
317,,Higher category theory and n-groups as gauge symmetries for quantum gravity,B. Nikolić; D. Obrić; T. Radenković; Igor Salom; M. Vojinović,2023,Journal of Physics: Conference Series,,,,,0,0.000,0.144,10.1088/1742-6596/2667/1/012019,https://www.semanticscholar.org/paper/43d5b6da123511d92659e4c0521b73593c8edbc2,https://iopscience.iop.org/article/10.1088/1742-6596/2667/1/012019/pdf,semantic_scholar,,"Higher category theory can be employed to generalize the notion of a gauge group to the notion of a gauge n-group. This novel algebraic structure is designed to generalize notions of connection, parallel transport and holonomy from curves to manifolds of dimension higher than one. Thus it generalize"
318,,An Open Unified Addressing System for 6G Communication Networks,Guanwen Li; D. Lou; A. Galis; Jinze Yang; Chuang Wang,2022,2022 IEEE Future Networks World Forum (FNWF),,,,,0,0.000,0.142,10.1109/FNWF55208.2022.00034,https://www.semanticscholar.org/paper/e052320b7d61e70e69f249f3052527051709a1ae,https://discovery.ucl.ac.uk/10166968/1/OUA_FNWF_WS7.pdf,semantic_scholar,,"With the rapid and continuous development of the Internet, it is foreseeable that current addressing schemes and fixed-length IP addresses would create further bottlenecks and limitations in realizing future 6G networking requirements, such as massive connections, resource-constrained communication,"
319,,Quantifying the Structure of Disordered Materials,T. Hardin; M. Chandross; Rahul Meena; Spencer Fajardo; Dimitris G. Giovanis,2022,,,,,,0,0.000,0.130,,https://www.semanticscholar.org/paper/10cb93831ff385c2d101ee4ad4390f58fe1f551c,,semantic_scholar,,"Durable interest in developing a framework for the detailed structure of glassy materials has produced numerous structural descriptors that trade off between general applicability and interpretability. However, none approach the combination of simplicity and wide-ranging predictive power of the latt"
320,,"GNPHE / 03-04 hep-th / 0303198 M-theory on G 2 manifolds and the method of ( p , q ) brane webs",A. Belhaj,2022,,,,,,0,0.000,0.120,,https://www.semanticscholar.org/paper/dde5ad445fcd6894ccddaa7c3ebe9f02420939f9,,semantic_scholar,,
321,,Optimal Mass Transport Meets Thermodynamics: On Power and Efficiency of Finite-Time Thermodynamic Engines,Huidong Chen,2022,,,,,,0,0.000,0.120,,https://www.semanticscholar.org/paper/a3ebed9b1e75a528f8e943275bdb99ffe515ab2c,,semantic_scholar,,
322,,Data Decomposition for Constrained Visual Learning,Calvin Murdock,2021,,,,,,0,0.000,0.120,10.1184/r1/13557188.v1,https://www.semanticscholar.org/paper/dacdd39afbc3c27ca122634b19cacae1f72e7128,,semantic_scholar,,
323,,Study of Hypersurface of semi-almost Hermitian manifold equipped with quarter-symmetric non-metric connection,Pankaj Pandey; B. B. Chaturvedi; Ejaz Sabir Lone,2020,Journal of Physics: Conference Series,,,,,0,0.000,0.113,10.1088/1742-6596/1531/1/012051,https://www.semanticscholar.org/paper/8e1abe414f9ecffe4077b17ad44f01f5eb62257a,https://doi.org/10.1088/1742-6596/1531/1/012051,semantic_scholar,,"In this paper, an induced connection on a Hyper surface ofa semi-almost Hermitian manifold equipped with a quarter-symmetric non-metric connection is studied and proved that induced connection is also a quarter-symmetricnon-metric connection.Further, we have obtained We ingarten equation, equation o"
324,,"Countably Tangential, Continuous, Finitely Ultra-p-Adic Polytopes over Smoothly Left-Irreducible Fields",A. Repin,2021,,,,,,0,0.000,0.109,10.17762/MSEA.V70I2.13,https://www.semanticscholar.org/paper/5fd5346fc3f80ea084e60f4e8fdaa5f3c8226882,https://doi.org/10.17762/msea.v70i2.13,semantic_scholar,,"Vol. 70 No. 2 (2021), pages: 54-64 http://philstat.org.ph 54 Recently, there has been much interest in the computation of tangential systems. The groundbreaking work of F. Shastri on algebras was a major advance. Now this could shed important light on a conjecture of Russell. This reduces the result"
325,,Ju l 2 01 0 SPIN STRUCTURES AND SUPERSTRINGS,J. Distler; D. Freed; G. Moore,2021,,,,,,0,0.000,0.100,,https://www.semanticscholar.org/paper/37722386089404be1451f8bb81f0a39404ffbb6e,,semantic_scholar,,
326,,ATCN: Agile Temporal Convolutional Networks for Processing of Time Series on Edge,Mohammadreza Baharani; Steven Furgurson; B. Parkhideh; Hamed Tabkhi,2020,arXiv.org,,,,,0,0.000,0.080,,https://www.semanticscholar.org/paper/f5767438cc43a73ce35b55227058ca4f37d97ce5,,semantic_scholar,,
327,,Ode to an ODE,Krzysztof Choromanski; Jared Quincy Davis; Valerii Likhosherstov; Xingyou Song; Jean-Jacques E. Slotine,2020,Neural Information Processing Systems,,,,,0,0.000,0.080,,https://www.semanticscholar.org/paper/e45547e6c081920e4749d825d72de077024c083f,,semantic_scholar,,
328,,On Transfer Learning Techniques for Machine Learning,Debasmit Das,2020,,,,,,0,0.000,0.080,10.25394/PGS.12221597.V1,https://www.semanticscholar.org/paper/4e665cdc829064719b778137b62d67ee88aa4f57,,semantic_scholar,,
329,,Learning Approaches to Dynamic Workflow Scheduling based on Genetic Programming and Deep Reinforcement Learning,Yifan Yang,2025,,,,,,0,0.000,0.000,10.26686/wgtn.29134007,https://openalex.org/W4410700106,https://openaccess.wgtn.ac.nz/articles/thesis/Learning_Approaches_to_Dynamic_Workflow_Scheduling_based_on_Genetic_Programming_and_Deep_Reinforcement_Learning/29134007/1/files/54766925.pdf,openalex,,"&lt;p&gt;&lt;strong&gt;Dynamic workflow scheduling (DWS) in cloud computing is a critical yet challenging problem, involving assigning numerous workflow tasks to heterogeneous virtual machines under dynamic conditions to optimize cost or makespan. The complexity arises from unpredictable workflow ar"
330,,Jean-Marie Souriau’s Symplectic Foliation Model of Sadi Carnot’s Thermodynamics,Frédéric Barbaresco,2025,Entropy,,,,,2,0.000,0.000,10.3390/e27050509,https://openalex.org/W4410235277,https://www.mdpi.com/1099-4300/27/5/509/pdf?version=1746794199,openalex,,"The explanation of thermodynamics through geometric models was initiated by seminal figures such as Carnot, Gibbs, Duhem, Reeb, and Carathéodory. Only recently, however, has the symplectic foliation model, introduced within the domain of geometric statistical mechanics, provided a geometric definiti"
331,,3D Scene Generation: A Survey,Bo Wen; Haozhe Xie; Zhaoxi Chen; Fangzhou Hong; Ziwei Liu,2025,arXiv (Cornell University),,,,,0,0.000,0.000,10.48550/arxiv.2505.05474,https://openalex.org/W4416092114,https://arxiv.org/pdf/2505.05474,openalex,,"3D scene generation seeks to synthesize spatially structured, semantically meaningful, and photorealistic environments for applications such as immersive media, robotics, autonomous driving, and embodied AI. Early methods based on procedural rules offered scalability but limited diversity. Recent ad"
332,,Human Interfaces with Machine Learning Recognition Systems,Connor Clarkson,2025,,,,,,0,0.000,0.000,10.23889/suthesis.69942,https://openalex.org/W4412173360,https://cronfa.swan.ac.uk/Record/cronfa69942/Download/69942__34740__cd07d56c71c54a6e8a9a2f0ea4bb47ad.pdf,openalex,,"Building large pools of data has become a relatively straightforward task, with many automated ways of obtaining different sources of data. Labelling such data has resulted in becoming an exponential problem, both in terms of time and in the form of an interaction-heavy task. This task only becomes "
333,,"Towards a Quantum Unified Field Theory: The Special Orthogonal Gauge Group R(3)SO(3) in R^9 , and Quantised Topological Electromagnetic Solitons",Anton Lorenz Vrba,2025,,,,,,0,0.000,0.000,10.31219/osf.io/4gcdf_v6,https://openalex.org/W4410020096,https://osf.io/4gcdf_v6/download,openalex,,"A mathematical framework is introduced in which gauge symmetries and field interactions are unified through a higher-dimensional geometric structure. The special orthogonal gauge group R(3){SO}(3), embedded in R^9, supports a formulation where Maxwell’s equations, spatial quantisation, and interacti"
334,,"Quantifying Uncertainty in Deep Learning: Methods, Challenges, and Future Directions",Simegnew Yihunie Alaba; Yuichi Motai,2025,,,,,,0,0.000,0.000,10.36227/techrxiv.174537585.58046070/v1,https://openalex.org/W4409664405,https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.174537585.58046070/v1,openalex,,
335,,IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space,Li Sun; Zhenhao Huang; Yujie Wang; Hongbo Lv; Chunyang Liu,2025,arXiv (Cornell University),,,,,0,0.000,0.000,10.48550/arxiv.2504.09970,https://openalex.org/W4415158879,https://arxiv.org/pdf/2504.09970,openalex,,"Graph clustering is a longstanding topic in machine learning. In recent years, deep learning methods have achieved encouraging results, but they still require predefined cluster numbers K, and typically struggle with imbalanced graphs, especially in identifying minority clusters. The limitations mot"
336,,Deep Sturm--Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions,David Vigouroux; Joseba Dalmau; Louis Béthune; Victor Boutin,2025,arXiv (Cornell University),,,,,0,0.000,0.000,10.48550/arxiv.2504.07151,https://openalex.org/W4415273140,https://arxiv.org/pdf/2504.07151,openalex,,"Although Artificial Neural Networks (ANNs) have achieved remarkable success across various tasks, they still suffer from limited generalization. We hypothesize that this limitation arises from the traditional sample-based (0--dimensionnal) regularization used in ANNs. To overcome this, we introduce "
337,,Relational Quantum Dynamics as a Topological and Categorical Graph Structure,Arash E. Zaghi,2025,,,,,,2,0.000,0.000,10.31219/osf.io/97wdy_v1,https://openalex.org/W4409223890,https://osf.io/97wdy_v1/download,openalex,,"We develop a rigorous categorical and topological framework for Relational Quantum Dynamics (RQD), formalizing a dynamic network of observers as a relational graph enriched with quantum-theoretic structure. In RQD, quantum systems and observers have no intrinsic properties, only relationships: we pr"
338,,Sonification of Motion of Robotic Systems with Many Degrees-of-Freedom,Amal Kacem,2025,Deep Blue (University of Michigan),,,,,0,0.000,0.000,10.7302/25802,https://openalex.org/W4414586591,http://deepblue.lib.umich.edu/bitstream/2027.42/197377/1/Final_Dissertation_Amal_Kacem.pdf,openalex,,"Effective human-robot interaction is increasingly vital across various domains, including assistive robotics, emotional communication, entertainment, and industrial automation. Visual feedback, a common feature of current interfaces, may not be suitable for all environments. Audio feedback serves as"
339,,A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment,Tao Yu; Wei Huang; Xin Tang; Dihao Zheng,2025,PLoS ONE,,,,,4,0.000,0.000,10.1371/journal.pone.0316557,https://openalex.org/W4406265543,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0316557&type=printable,openalex,,"In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance remains limited owing to challenges such as imba"
340,,Generative Adversarial Networks for Longitudinal Data Imputation and Classification,Sharon Torao Pingi,2025,,,,,,0,0.000,0.000,10.5204/thesis.eprints.258292,https://openalex.org/W4411700064,https://eprints.qut.edu.au/258292/1/Sharon%20Torao%20Pingi%20Thesis.pdf,openalex,,"This thesis develops deep generative model-based methods to address classification challenges in longitudinal data, particularly around missing values, incomplete records and instance heterogeneity. It shows that these models can better manage incomplete information, leading to more accurate and rel"
341,,"Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions",Ke-Lin Du; Bingchun Jiang; Jiabin Lu; Jingyu Hua; M.N.S. Swamy,2024,Mathematics,,,,,27,0.000,0.000,10.3390/math12243935,https://openalex.org/W4405424698,https://www.mdpi.com/2227-7390/12/24/3935/pdf?version=1734106970,openalex,,"The kernel method is a tool that converts data to a kernel space where operation can be performed. When converted to a high-dimensional feature space by using kernel functions, the data samples are more likely to be linearly separable. Traditional machine learning methods can be extended to the kern"
342,,Resource Allocation Design for Next-Generation Multiple Access: A Tutorial Overview,Zhiqiang Wei; Dongfang Xu; Shuangyang Li; Shenghui Song; Derrick Wing Kwan Ng,2024,arXiv (Cornell University),,,,,0,0.000,0.000,10.48550/arxiv.2407.02877,https://openalex.org/W4400376101,https://arxiv.org/pdf/2407.02877,openalex,,"Multiple access is the cornerstone technology for each generation of wireless cellular networks and resource allocation design plays a crucial role in multiple access. In this paper, we present a comprehensive tutorial overview for junior researchers in this field, aiming to offer a foundational gui"
343,,Computable Analysis and Game Theory: From Foundations to Applications,Tonicha Crook,2024,,,,,,0,0.000,0.000,10.23889/suthesis.67150,https://openalex.org/W4400779969,https://cronfa.swan.ac.uk/Record/cronfa67150/Download/67150__30927__8a941012a9b14641bf638f8dc93992a4.pdf,openalex,,"This body of research showcases several facets of the intersection between computer science and game theory. On the foundational side, we explore the obstructions to the computability of Nash equilibria in the setting of computable analysis. In particular, we study the Weihrauch degree of the proble"
344,,A machine learning ride in the physics theme park: from quantum to biophysics,Borja Requena,2024,,,,,,0,0.000,0.000,10.5821/dissertation-2117-409132,https://openalex.org/W4399295275,https://upcommons.upc.edu/bitstream/2117/409132/1/TBRP1de1.pdf,openalex,,"(English) The integration of artificial intelligence into research is propelling progress and discoveries across the entire scientific landscape. Artificial intelligence tools boost the development of novel scientific insights and theories by processing extensive data sets, guiding exploration and h"
345,,The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing,Katrin Amunts; Markus Axer; Swati Banerjee; Lise Bitsch; Jan G. Bjaalie,2024,Imaging Neuroscience,,,,,28,0.000,0.000,10.1162/imag_a_00137,https://openalex.org/W4393646376,https://direct.mit.edu/imag/article-pdf/doi/10.1162/imag_a_00137/2356704/imag_a_00137.pdf,openalex,,"Abstract In recent years, brain research has indisputably entered a new epoch, driven by substantial methodological advances and digitally enabled data integration and modelling at multiple scales—from molecules to the whole brain. Major advances are emerging at the intersection of neuroscience with"
346,,Methods and conversations in (post)modern thermodynamics,Francesco Avanzini; Massimo Bilancioni; Vasco Cavina; Sara Dal Cengio; Massimiliano Esposito,2024,SciPost Physics Lecture Notes,,,,,17,0.000,0.000,10.21468/scipostphyslectnotes.80,https://openalex.org/W4392985846,https://scipost.org/10.21468/SciPostPhysLectNotes.80/pdf,openalex,,"Lecture notes after the doctoral school (Post)Modern Thermodynamics held at the University of Luxembourg, December 2022, 5-7, covering and advancing continuous-time Markov chains, network theory, stochastic thermodynamics, large deviations, deterministic and stochastic chemical reaction networks, me"
347,,Nonlinear Filtering and Reinforcement Learning-based Smart Autonomous Multi-agent Systems,Kaustav Jyoti Borah,2024,,,,,,0,0.000,0.000,10.32920/25412566.v1,https://openalex.org/W4392907848,https://figshare.com/articles/thesis/Nonlinear_Filtering_and_Reinforcement_Learning-based_Smart_Autonomous_Multi-agent_Systems/25412566,openalex,,"&lt;p&gt;There is growing importance in complex engineering systems to operate autonomously, especially given potential malfunctions that may occur in the system, such as sensors, actuators, components, communication networks, and controllers. Fault detection, isolation, and reconstruction (FDIR) ar"
348,,Adversarial Robustness of Neural Networks from the Perspective of Lipschitz Calculus: A Survey,Monty-Maximilian Zühlke; Daniel Kudenko⋆,2024,ACM Computing Surveys,,,,,10,0.000,0.000,10.1145/3648351,https://openalex.org/W4391847287,https://dl.acm.org/doi/pdf/10.1145/3648351,openalex,,"We survey the adversarial robustness of neural networks from the perspective of Lipschitz calculus in a unifying fashion by expressing models, attacks and safety guarantees—that is, a notion of measurable trustworthiness—in a mathematical language. After an intuitive motivation, we discuss algorithm"
349,,From NeurODEs to AutoencODEs: A mean-field control framework for width-varying neural networks,Cristina Cipriani; Massimo Fornasier; Alessandro Scagliotti,2024,European Journal of Applied Mathematics,,,,,5,0.000,0.000,10.1017/s0956792524000032,https://openalex.org/W4391650031,https://www.cambridge.org/core/services/aop-cambridge-core/content/view/5C6B06B2BE0B0AD986DC22CDDB8159F8/S0956792524000032a.pdf/div-class-title-from-neurodes-to-autoencodes-a-mean-field-control-framework-for-width-varying-neural-networks-div.pdf,openalex,,"Abstract The connection between Residual Neural Networks (ResNets) and continuous-time control systems (known as NeurODEs) has led to a mathematical analysis of neural networks, which has provided interesting results of both theoretical and practical significance. However, by construction, NeurODEs "
350,,A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks,Hassan Khazane; Mohammed Ridouani; Fatima Salahdine; Naima Kaabouch,2024,Future Internet,,,,,45,0.000,0.000,10.3390/fi16010032,https://openalex.org/W4391023335,https://www.mdpi.com/1999-5903/16/1/32/pdf?version=1705676320,openalex,,"With the rapid advancements and notable achievements across various application domains, Machine Learning (ML) has become a vital element within the Internet of Things (IoT) ecosystem. Among these use cases is IoT security, where numerous systems are deployed to identify or thwart attacks, including"
351,,Handbook of Digital 3D Reconstruction of Historical Architecture,Sander Münster; Fabrizio Ivan Apollonio; Ina Bluemel; Federico Fallavollita; Riccardo Foschi,2024,"Synthesis lectures on engineers, technology, and society",,,,,26,0.000,0.000,10.1007/978-3-031-43363-4,https://openalex.org/W4394912000,https://link.springer.com/content/pdf/10.1007/978-3-031-43363-4.pdf,openalex,,"This open access book is a handbook for students, experts and interested parties who want to learn more about digital 3D reconstruction of historical architecture. The book provides answers to the core questions of the subject: What is a digital 3D model or a digital 3D reconstruction? How are they "
352,,"Machine Learning With Computer Networks: Techniques, Datasets, and Models",Haitham Afifi; Sabrina Pochaba; Andreas Boltres; Dominic Laniewski; Janek Haberer,2024,IEEE Access,,,,,14,0.000,0.000,10.1109/access.2024.3384460,https://openalex.org/W4393864282,https://ieeexplore.ieee.org/ielx7/6287639/6514899/10489950.pdf,openalex,,"Machine learning has found many applications in network contexts. These include solving optimisation problems and managing network operations. Conversely, networks are essential for facilitating machine learning training and inference, whether performed centrally or in a distributed fashion. To cond"
353,,PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning From Demonstration,Sipu Ruan; Weixiao Liu; Xiaoli Wang; Xin Meng; Gregory S. Chirikjian,2024,IEEE Transactions on Robotics,,,,,6,0.000,0.000,10.1109/tro.2024.3390052,https://openalex.org/W4394862937,https://ieeexplore.ieee.org/ielx7/8860/4359257/10502164.pdf,openalex,,"This paper proposes a learning-from-demonstration (LfD) method using probability densities on the workspaces of robot manipulators. The method, named PRobabilistically-Informed Motion Primitives (PRIMP), learns the probability distribution of the end effector trajectories in the 6D workspace that in"
354,,Physics-Enhanced TinyML for Real- Time Detection of Ground Magnetic Anomalies,Talha Siddique; Md Shaad Mahmud,2024,IEEE Access,,,,,5,0.000,0.000,10.1109/access.2024.3362346,https://openalex.org/W4391547559,https://ieeexplore.ieee.org/ielx7/6287639/6514899/10422831.pdf,openalex,,"Space weather phenomena like geomagnetic disturbances (GMDs) and geomagnetically induced currents (GICs) pose significant risks to critical technological infrastructure. While traditional predictive models, grounded in simulation, hold theoretical robustness, they grapple with challenges, notably th"
355,,"Improving Graph Representation Learning with Augmentations, Uncertainty Quantification and Large Language Models",Puja Trivedi,2024,Deep Blue (University of Michigan),,,,,1,0.000,0.000,10.7302/24948,https://openalex.org/W4406139701,https://hdl.handle.net/2027.42/196012,openalex,,"Expressive graph representation learning is important to many high-impact applications as structured data across many domains can be naturally represented using graphs. While the advent of graph neural networks has led to considerable success on a variety of graph-based tasks, there remains room for"
356,,Melting curve of correlated iron at Earth's core conditions from machine-learned DFT+DMFT,Rishi Rao; Li Zhu,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25061v1,https://arxiv.org/pdf/2512.25061v1,arxiv,,"Reliable constraints on iron's melting curve at Earth's inner-core boundary require accurate finite-temperature electronic correlations, yet DFT+DMFT calculations remain too costly for large-scale thermodynamic sampling. Here, we develop a machine-learning accelerator for charge self-consistent DFT+"
357,,The Logical Structure of Physical Laws: A Fixed Point Reconstruction,Eren Volkan Küçük,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25057v1,https://arxiv.org/pdf/2512.25057v1,arxiv,,"We formalise the self referential definition of physical laws using monotone operators on a lattice of theories, resolving the pathologies of naive set theoretic formulations. By invoking Tarski fixed point theorem, we identify physical theories as least fixed points of admissibility constraints der"
358,,Bilinear tau forms of quantum Painlevé equations and $\mathbb{C}^2/\mathbb{Z}_2$ blowup relations in SUSY gauge theories,Giulio Bonelli; Anton Shchechkin; Alessandro Tanzini,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25051v1,https://arxiv.org/pdf/2512.25051v1,arxiv,,"We derive bilinear tau forms of the canonically quantized Painlevé equations, thereby relating them to those previously obtained from the $\mathbb{C}^2/\mathbb{Z}_2$ blowup relations for the $\mathcal{N}=2$ supersymmetric gauge theory partition functions on a general $Ω$-background. We fully fix the"
359,,Arithmetic with spatiotemporal optical vortex of integer and fractional topological charges,Hsiao-Chih Huang; Chen-Ting Liao; Hui Min Leung,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25049v1,https://arxiv.org/pdf/2512.25049v1,arxiv,,"Spatiotemporal optical vortices carry transverse orbital angular momentum (t-OAM), which give rise to spatiotemporal topological charge (ST-TC). To unleash the full potential of t-OAM in expanding the capacity of communication and computing, we demonstrate the first optical information-processing pi"
360,,All optical Lithography for Spatiotemporal Patterning of Azopolymer Microreliefs,I Komang Januariyasa; Francesco Reda; Nikolai Liubimtsev; Marina Saphiannikova; Fabio Borbone,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25048v1,https://arxiv.org/pdf/2512.25048v1,arxiv,,"Microstructured surfaces are central to photonics, biointerfaces, and functional coatings, yet they are typically fabricated through multi-step lithographic workflows requiring masks or molds and post-processing. Azopolymers provide an alternative route by converting structured optical fields into s"
361,,Extreme nonlinear optics in optical fibers,Mario Ferraro; Bertrand Kibler; Pierre Béjot; Frédéric Gérome; Benoit Debord,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25046v1,https://arxiv.org/pdf/2512.25046v1,arxiv,,"This paper reviews the field of extreme nonlinear optics in optical fibers, highlighting key phenomena and advancements. It discusses multiple ionization effects caused by femtosecond laser pulses that generate plasma and induce permanent material modifications, as well as plasma luminescence and it"
362,,Perturbative Kondo destruction and global phase diagram of heavy fermion metals,Yiming Wang; Shouvik Sur; Chia-Chuan Liu; Qimiao Si,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25036v1,https://arxiv.org/pdf/2512.25036v1,arxiv,,"Strange metals represent a foundational problem in quantum condensed matter physics, and heavy fermion systems provide a canonical setting to advance a general understanding. The concept of a Kondo destruction quantum critical point is widely invoked to describe the competition of the Kondo effect a"
363,,Generative Classifiers Avoid Shortcut Solutions,Alexander C. Li; Ananya Kumar; Deepak Pathak,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25034v1,https://arxiv.org/pdf/2512.25034v1,arxiv,,"Discriminative approaches to classification often learn shortcuts that hold in-distribution but fail even under minor distribution shift. This failure mode stems from an overreliance on features that are spuriously correlated with the label. We show that generative classifiers, which use class-condi"
364,,EF(X) Orientations: A Parameterized Complexity Perspective,Sotiris Kanellopoulos; Edouard Nemery; Christos Pergaminelis; Minas Marios Sotiriou; Manolis Vasilakis,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25033v1,https://arxiv.org/pdf/2512.25033v1,arxiv,,"The concept of fair orientations in graphs was introduced by Christodoulou, Fiat, Koutsoupias, and Sgouritsa in 2023, naturally modeling fair division scenarios in which resources are only contested by neighbors. In this model, vertices represent agents and undirected edges represent goods; edges ha"
365,,On Nonlinear Inertial Transformations,Nicholas Agia,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25024v1,https://arxiv.org/pdf/2512.25024v1,arxiv,,"It is often assumed that the most general transformation between two inertial reference frames is affine linear in their Cartesian coordinates, an assumption which is however not true. We provide a complete derivation of the most general inertial frame transformation, which is indeed nonlinear; alon"
366,,"Detector Response Matrices, Effective Areas, and Flash-Effective Areas for Radiation Detectors",Gregory Bowers; Eve Chase; William Ford; Daniel Coupland; Brian Larsen,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25021v1,https://arxiv.org/pdf/2512.25021v1,arxiv,,"A Detector Response Matrix (DRM) is a discrete representation of an instrument's Detector Response Function (DRF), which quantifies how many discrete energy depositions occur in a detector volume for a given distribution of particles incident on the detector. For simple radiation detectors that can "
367,,Strengthening Dual Bounds for Multicommodity Capacitated Network Design with Unsplittable Flow Constraints,Lacy M. Greening; Santanu S. Dey; Alan L. Erera,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25018v1,https://arxiv.org/pdf/2512.25018v1,arxiv,,"Multicommodity capacitated network design (MCND) models can be used to optimize the consolidation of shipments within e-commerce fulfillment networks. In practice, fulfillment networks require that shipments with the same origin and destination follow the same transfer path. This unsplittable flow r"
368,,Convergence of the generalization error for deep gradient flow methods for PDEs,Chenguang Liu; Antonis Papapantoleon; Jasper Rou,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25017v1,https://arxiv.org/pdf/2512.25017v1,arxiv,,The aim of this article is to provide a firm mathematical foundation for the application of deep gradient flow methods (DGFMs) for the solution of (high-dimensional) partial differential equations (PDEs). We decompose the generalization error of DGFMs into an approximation and a training error. We f
369,,A note on semistable unitary operators on $L^2(\mathbb{R})$,Xianghong Chen,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25013v1,https://arxiv.org/pdf/2512.25013v1,arxiv,,"In this note, we present a characterization of semistable unitary operators on $L^2(\mathbb{R})$, under the assumption that the operator is (i) translation-invariant, (ii) symmetric, and (iii) locally uniformly continuous (LUC) under dilation. As a consequence, we characterize one-parameter groups f"
370,,FoundationSLAM: Unleashing the Power of Depth Foundation Models for End-to-End Dense Visual SLAM,Yuchen Wu; Jiahe Li; Fabio Tosi; Matteo Poggi; Jin Zheng,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25008v1,https://arxiv.org/pdf/2512.25008v1,arxiv,,"We present FoundationSLAM, a learning-based monocular dense SLAM system that addresses the absence of geometric consistency in previous flow-based approaches for accurate and robust tracking and mapping. Our core idea is to bridge flow estimation with geometric reasoning by leveraging the guidance f"
371,,Grassmannian Geometries for Non-Planar On-Shell Diagrams,Artyom Lisitsyn; Umut Oktem; Melissa Sherman-Bennett; Jaroslav Trnka,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25005v1,https://arxiv.org/pdf/2512.25005v1,arxiv,,"On-shell diagrams are gauge invariant quantities which play an important role in the description of scattering amplitudes. Based on the principles of generalized unitarity, they are given by products of elementary three-point amplitudes where the kinematics of internal on-shell legs are determined b"
372,,"Wall crossing, string networks and quantum toroidal algebras",Yegor Zenkevich,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24988v1,https://arxiv.org/pdf/2512.24988v1,arxiv,,"We investigate BPS states in 4d N=4 supersymmetric Yang-Mills theory and the corresponding (p, q) string networks in Type IIB string theory. We propose a new interpretation of the algebra of line operators in this theory as a tensor product of vector representations of a quantum toroidal algebra, wh"
373,,DarkEQA: Benchmarking Vision-Language Models for Embodied Question Answering in Low-Light Indoor Environments,Yohan Park; Hyunwoo Ha; Wonjun Jo; Tae-Hyun Oh,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24985v1,https://arxiv.org/pdf/2512.24985v1,arxiv,,"Vision Language Models (VLMs) are increasingly adopted as central reasoning modules for embodied agents. Existing benchmarks evaluate their capabilities under ideal, well-lit conditions, yet robust 24/7 operation demands performance under a wide range of visual degradations, including low-light cond"
374,,Lindbladian PT phase transitions,Yuma Nakanishi; Tomohiro Sasamoto,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24981v1,https://arxiv.org/pdf/2512.24981v1,arxiv,,"A parity-time (PT) transition is a spectral transition characteristic of non-Hermitian generators; it typically occurs at an exceptional point, where multiple eigenvectors coalesce. The concept of a PT transition has been extended to Markovian open quantum systems, which are described by the GKSL eq"
375,,A Modal Logic for Possibilistic Reasoning with Fuzzy Formal Contexts,Prosenjit Howlader; Churn-Jung Liau,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24980v1,https://arxiv.org/pdf/2512.24980v1,arxiv,,We introduce a two-sort weighted modal logic for possibilistic reasoning with fuzzy formal contexts. The syntax of the logic includes two types of weighted modal operators corresponding to classical necessity ($\Box$) and sufficiency ($\boxminus$) modalities and its formulas are interpreted in fuzzy
376,,SymSeqBench: a unified framework for the generation and analysis of rule-based symbolic sequences and datasets,Barna Zajzon; Younes Bouhadjar; Maxime Fabre; Felix Schmidt; Noah Ostendorf,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24977v1,https://arxiv.org/pdf/2512.24977v1,arxiv,,"Sequential structure is a key feature of multiple domains of natural cognition and behavior, such as language, movement and decision-making. Likewise, it is also a central property of tasks to which we would like to apply artificial intelligence. It is therefore of great importance to develop framew"
377,,Attribution-Guided Distillation of Matryoshka Sparse Autoencoders,Cristina P. Martin-Linares; Jonathan P. Ling,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24975v1,https://arxiv.org/pdf/2512.24975v1,arxiv,,"Sparse autoencoders (SAEs) aim to disentangle model activations into monosemantic, human-interpretable features. In practice, learned features are often redundant and vary across training runs and sparsity levels, which makes interpretations difficult to transfer and reuse. We introduce Distilled Ma"
378,,Random Batch Sum-of-Gaussians Method for Molecular Dynamics of Born-Mayer-Huggins Systems,Chen Chen; Jiuyang Liang; Zhenli Xu; Qianru Zhang,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24970v1,https://arxiv.org/pdf/2512.24970v1,arxiv,,"The Born-Mayer-Huggins (BMH) potential, which combines Coulomb interactions with dispersion and short-range exponential repulsion, is widely used for ionic materials such as molten salts. However, large-scale molecular dynamics simulations of BMH systems are often limited by computation, communicati"
379,,The least prime with a given cycle type,Peter J. Cho; Robert J. Lemke Oliver; Asif Zaman,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24963v1,https://arxiv.org/pdf/2512.24963v1,arxiv,,"Let $G$ be a finite group. Let $K/k$ be a Galois extension of number fields with Galois group isomorphic to $G$, and let $C \subseteq \mathrm{Gal}(K/k) \simeq G$ be a conjugacy invariant subset. It is well known that there exists an unramified prime ideal $\mathfrak{p}$ of $k$ with Frobenius element"
380,,Fundamental Limits for Near-Field Sensing -- Part II: Wide-Band Systems,Tong Wei; Kumar Vijay Mishra; Bhavani Shankar M. R.; Björn Ottersten,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24962v1,https://arxiv.org/pdf/2512.24962v1,arxiv,,"Near-field sensing with extremely large-scale antenna arrays (ELAAs) in practical 6G systems is expected to operate over broad bandwidths, where delay, Doppler, and spatial effects become tightly coupled across frequency. The purpose of this and the companion paper (Part I) is to develop the unified"
381,,Fundamental Limits for Near-Field Sensing -- Part I: Narrow-Band Systems,Tong Wei; Kumar Vijay Mishra; Bhavani Shankar M. R.; Björn Ottersten,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24958v1,https://arxiv.org/pdf/2512.24958v1,arxiv,,"Extremely large-scale antenna arrays (ELAAs) envisioned for 6G enable high-resolution sensing. However, the ELAAs worked in extremely high frequency will push operation into the near-field region, where spherical wavefronts invalidate classical far-field models and alter fundamental estimation limit"
382,,Matrix Thermodynamic Uncertainty Relation for Non-Abelian Charge Transport,Domingos S. P. Salazar,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24956v1,https://arxiv.org/pdf/2512.24956v1,arxiv,,"Thermodynamic uncertainty relations (TURs) bound the precision of currents by entropy production, but quantum transport of noncommuting (non-Abelian) charges challenges standard formulations because different charge components cannot be monitored within a single classical frame. We derive a process-"
383,,Numerical study of solitary waves in Dirac--Klein--Gordon system,Andrew Comech; Julien Ricaud; Marco Roque,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24954v1,https://arxiv.org/pdf/2512.24954v1,arxiv,,"We use numerics to construct solitary waves in Dirac--Klein--Gordon (in one and three spatial dimensions) and study the dependence of energy and charge on $ω$. For the construction, we use the iterative procedure, starting from solitary waves of nonlinear Dirac equation, computing the corresponding "
384,,Laser intracavity absorption magnetometry for optical quantum sensing,J. M. Wollenberg; F. Perona; A. Palaci; H. Wenzel; H. Christopher,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24951v1,https://arxiv.org/pdf/2512.24951v1,arxiv,,"Intracavity absorption spectroscopy (ICAS) is a well-established technique for detecting weak absorption signals with ultrahigh sensitivity. Here, we extend this concept to magnetometry using nitrogen-vacancy (NV) centers in diamond. We introduce laser intracavity absorption magnetometry (LICAM), a "
385,,"The uncertainty constants: A unified framework of two, three and four observables",Minyi Huang,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24950v1,https://arxiv.org/pdf/2512.24950v1,arxiv,,"Uncertainty is a fundamental and important concept in quantum mechanics. Recent works have revealed both the product and sum forms of uncertainty constants for three observables. Such a result is intimately to the properties of Pauli operators. In this work, using the technique in matrix theory, we "
386,,Securing High-Concurrency Ticket Sales: A Framework Based on Microservice,Zhiyong Zhang; Xiaoyan Zhang; Xiaoqi Li,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24941v1,https://arxiv.org/pdf/2512.24941v1,arxiv,,"The railway ticketing system is one of the most important public service infrastructure. In peak periods such as holidays, it is often faced with the challenge of high concurrency scenarios because of a large number of users accessing at the same time. The traditional aggregation architecture can no"
387,,Modelling the movements of organisms by stochastic theory in a comoving frame,Norberto Lucero Azuara; Rainer Klages,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24937v1,https://arxiv.org/pdf/2512.24937v1,arxiv,,Imagine you walk in a plane. You move by making a step of a certain length per time interval in a chosen direction. Repeating this process by randomly sampling step length and turning angle defines a two-dimensional random walk in what we call comoving frame coordinates. This is precisely how Ross a
388,,Green's function on the Tate curve,An Huang; Rebecca Rohrlich; Yaojia Sun; Eric Whyman,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24935v1,https://arxiv.org/pdf/2512.24935v1,arxiv,,"Motivated by the question of defining a $p$-adic string worldsheet action in genus one, we define a Laplacian operator on the Tate curve, and study its Green's function. We show that the Green's function exists. We provide an explicit formula for the Green's function, which turns out to be a non-Arc"
389,,Introduction to black hole thermodynamics,Pietro Benetti Genolini,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24929v1,https://arxiv.org/pdf/2512.24929v1,arxiv,,"These are the lecture notes for a course at the ""Roberto Salmeron School in Mathematical Physics"" held at the University of Brasilia in September 2025, to be published in the proceedings book ""Modern topics in mathematical physics."" The course provides a concise and biased introduction to black hole"
390,,A Pontryagin Maximum Principle on the Belief Space for Continuous-Time Optimal Control with Discrete Observations,Christian Bayer; Saifeddine Ben naamia; Erik von Schwerin; Raul Tempone,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24916v1,https://arxiv.org/pdf/2512.24916v1,arxiv,,"We study a continuous time stochastic optimal control problem under partial observations that are available only at discrete time instants. This hybrid setting, with continuous dynamics and intermittent noisy measurements, arises in applications ranging from robotic exploration and target tracking t"
391,,Semi-Automated Data Annotation in Multisensor Datasets for Autonomous Vehicle Testing,Andrii Gamalii; Daniel Górniak; Robert Nowak; Bartłomiej Olber; Krystian Radlak,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24896v1,https://arxiv.org/pdf/2512.24896v1,arxiv,,"This report presents the design and implementation of a semi-automated data annotation pipeline developed within the DARTS project, whose goal is to create a large-scale, multimodal dataset of driving scenarios recorded in Polish conditions. Manual annotation of such heterogeneous data is both costl"
392,,Resolving the Origins and Pathways of Ionizing Radiation Escape with UV Integral Field Spectroscopy,Cody Carr; Renyue Cen; Brian Fleming; Sophia Flury; Stephan McCandliss,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24895v1,https://arxiv.org/pdf/2512.24895v1,arxiv,,"The Epoch of Reionization marks the last major phase transition in the early Universe, during which the majority of neutral hydrogen once filling the intergalactic medium was ionized by the first galaxies. The James Webb Space Telescope (JWST) is now identifying promising galaxy candidates capable o"
393,,Adaptive Clutter Suppression via Convex Optimization,Yifan He; Griffin Kearney; Makan Fardad,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24889v1,https://arxiv.org/pdf/2512.24889v1,arxiv,,Passive and bistatic radar systems are often limited by strong clutter and direct-path interference that mask weak moving targets. Conventional cancellation methods such as the extensive cancellation algorithm require careful tuning and can distort the delay-Doppler response. This paper introduces a
394,,SoK: Web3 RegTech for Cryptocurrency VASP AML/CFT Compliance,Qian'ang Mao; Jiaxin Wang; Ya Liu; Li Zhu; Jiaman Chen,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24888v1,https://arxiv.org/pdf/2512.24888v1,arxiv,,The decentralized architecture of Web3 technologies creates fundamental challenges for Anti-Money Laundering and Counter-Financing of Terrorism compliance. Traditional regulatory technology solutions designed for centralized financial systems prove inadequate for blockchain's transparent yet pseudon
395,,Heterogeneous Multi-Agent Multi-Target Tracking using Cellular Sheaves,Tyler Hanks; Cristian F. Nino; Joana Bou Barcelo; Austin Copeland; Warren Dixon,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24886v1,https://arxiv.org/pdf/2512.24886v1,arxiv,,"Multi-agent target tracking in the presence of nonlinear dynamics and agent heterogeneity, where state-space dimensions may differ, is a challenging problem that traditional graph Laplacian methods cannot easily address. This work leverages the framework of cellular sheaves, a mathematical generaliz"
396,,BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts,Hengli Li; Zhaoxin Yu; Qi Shen; Chenxi Li; Mengmeng Wang,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24885v1,https://arxiv.org/pdf/2512.24885v1,arxiv,,"Strategic dialogue requires agents to execute distinct dialogue acts, for which belief estimation is essential. While prior work often estimates beliefs accurately, it lacks a principled mechanism to use those beliefs during generation. We bridge this gap by first formalizing two core acts Adversari"
397,,Schrödinger connections: from mathematical foundations towards Yano–Schrödinger cosmology,L. Csillag; Anish Agashe; D. Iosifidis,2024,Classical and quantum gravity,,,,,4,0.000,0.000,10.1088/1361-6382/ad871c,https://www.semanticscholar.org/paper/93e6dc17eb998bea3062647dc599f35caf4db1a6,http://arxiv.org/pdf/2402.06167,semantic_scholar,,"Schrödinger connections are a special class of affine connections, which despite being metric incompatible, preserve length of vectors under autoparallel transport. In the present paper, we introduce a novel coordinate-free formulation of Schrödinger connections. After recasting their basic properti"
398,,Gravity as a Statistical Manifold/ On a bi-Connection Formulation of Gravitation,D. Iosifidis; Konstantinos Pallikaris,2023,arXiv.org,,,,,0,0.000,0.000,10.48550/arXiv.2305.18537,https://www.semanticscholar.org/paper/644e627e499499444bdc9fd4f8d21a49acf11036,https://arxiv.org/pdf/2305.18537,semantic_scholar,,
399,,Input and Output Manifold Constrained Gaussian Process Regression for Galvanometric Setup Calibration,Ivan De Boi; S. Sels; Olivier De Moor; S. Vanlanduit; R. Penne,2022,IEEE Transactions on Instrumentation and Measurement,,,,,5,0.000,0.000,10.1109/TIM.2022.3170968,https://www.semanticscholar.org/paper/fdc34d2613047809f91cc74afc8d0c4442d25d18,https://repository.uantwerpen.be/docstore/d:irua:12393,semantic_scholar,,
400,,A Low-Cost Alternating Projection Approach for a Continuous Formulation of Convex and Cardinality Constrained Optimization,Natavsa Kreji'c; E.H.M. Krulikovski; M. Raydan,2022,Operations Research Forum,,,,,1,0.000,0.000,10.1007/s43069-023-00257-w,https://www.semanticscholar.org/paper/68050e405a112535ba2a7f79570f6e4c13a15859,https://link.springer.com/content/pdf/10.1007/s43069-023-00257-w.pdf,semantic_scholar,,"We consider convex constrained optimization problems that also include a cardinality constraint. In general, optimization problems with cardinality constraints are difficult mathematical programs which are usually solved by global techniques from discrete optimization. We assume that the region defi"
401,,Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF,Wei Xiong; Hanze Dong; Chen Ye; Han Zhong; Nan Jiang,2023,arXiv.org,,,,,65,0.000,0.000,10.48550/arXiv.2312.11456,https://www.semanticscholar.org/paper/e4435f282266da92d37066064c5239c6f96f0d64,,semantic_scholar,,
402,,Segmentation of the spacecraft transfer problem through overdetermined and continuity constraints based on the Theory of Functional Connections,Allan Kardec de Almeida Junior,2025,,,,,,0,0.000,0.000,,https://www.semanticscholar.org/paper/947b30c6b9bf943b82a0cbc6a73bb97fdcfd2fe8,,semantic_scholar,,This paper introduces a segmented approach for solving constrained orbit transfer problems. The segments are connected through continuity constraints under the Theory of Functional Connections (TFC) mathematical framework that performs linear functional interpolation. This approach is further enhanc
403,,Advancing Mathematical Research via Human-AI Interactive Theorem Proving,Chenyi Li; Zhijian Lai; Dong An; Jiang Hu; Zaiwen Wen,2025,,,,,,2,0.000,0.000,,https://www.semanticscholar.org/paper/3fdfca6bfbb95d382ac285fdef221592c9f8ee83,,semantic_scholar,,We investigate how large language models can be used as research tools in scientific computing while preserving mathematical rigor. We propose a human-in-the-loop workflow for interactive theorem proving and discovery with LLMs. Human experts retain control over problem formulation and admissible as
404,,Exploring information geometry: Recent Advances and Connections to Topological Field Theory,No'emie C. Combe; Philippe G. Combe; H. Nencka,2025,arXiv.org,,,,,0,0.000,0.000,10.48550/arXiv.2502.11188,https://www.semanticscholar.org/paper/69a6501a61e69d977013b28203da9522a65020f4,,semantic_scholar,,"This introductory text arises from a lecture given in G\""oteborg, Sweden, given by the first author and is intended for undergraduate students, as well as for any mathematically inclined reader wishing to explore a synthesis of ideas connecting geometry and statistics. At its core, this work seeks t"
405,,"The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations",Carl Leake; Hunter Johnston; D. Mortari,2020,Mathematics,,,,,39,0.000,0.000,10.3390/math8081303,https://www.semanticscholar.org/paper/249a2b8d4e3582bbbd009ba21a49d6df40153f7c,https://www.mdpi.com/2227-7390/8/8/1303/pdf?version=1597141913,semantic_scholar,,This article presents a reformulation of the Theory of Functional Connections: a general methodology for functional interpolation that can embed a set of user-specified linear constraints. The reformulation presented in this paper exploits the underlying functional structure presented in the seminal
406,,The Theory of Functional Connections: A journey from theory to application,Hunter Johnston,2021,arXiv.org,,,,,11,0.000,0.000,,https://www.semanticscholar.org/paper/fd6407d18b88291f26d06b981d44fd1208f83c8a,,semantic_scholar,,"The Theory of Functional Connections (TFC) is a general methodology for functional interpolation that can embed a set of user-specified linear constraints. The functionals derived from this method, called \emph{constrained expressions}, analytically satisfy the imposed constraints and can be leverag"
407,,Moduli space of spin connections on three-dimensional homogeneous spaces,Matteo Bruno; Gabriele Peluso,2025,,,,,,0,0.000,0.000,,https://www.semanticscholar.org/paper/af4c34d768ce0307ee1e65afd387d4a51895c147,,semantic_scholar,,"In this manuscript, we aim to classify and characterize the moduli space of homogeneous spin connections and homogeneous SU(2) connections on three-dimensional Riemannian homogeneous spaces. An analysis of the topology of the associated moduli spaces reveals that they are finite-dimensional topologi"
408,,"On generalized Berwald manifolds: extremal compatible linear connections, special metrics and low dimensional spaces",Csaba Vincze,2021,,,,,,0,0.000,0.000,10.22060/AJMC.2021.20348.1063,https://www.semanticscholar.org/paper/7da9349d0f26bedaf2deb14792843ce1eebe62d7,,semantic_scholar,,
409,,Towards a connection between the capacitated vehicle routing problem and the constrained centroid-based clustering,Abdelhakim Abdellaoui; L. Benabbou; Issmail Elhallaoui,2024,arXiv.org,,,,,0,0.000,0.000,10.48550/arXiv.2403.14013,https://www.semanticscholar.org/paper/4f97d67b87e9214723775a5fced8ee52fd95a07e,,semantic_scholar,,Efficiently solving a vehicle routing problem (VRP) in a practical runtime is a critical challenge for delivery management companies. This paper explores both a theoretical and experimental connection between the Capacitated Vehicle Routing Problem (CVRP) and the Constrained Centroid-Based Clusterin
410,,Complex Neutrosophic Soft Topology with Multivariate Analysis: A Unified Framework for Signal-Template Relationships,Maha Mohammed Saeed; Raed Hatamleh; Hamza Ali Abujabal; Aqeedat Hussain; Arif Mehmood Khattak,2025,European Journal of Pure and Applied Mathematics,,,,,0,0.000,0.000,10.29020/nybg.ejpam.v18i4.7147,https://www.semanticscholar.org/paper/4e0f0c77e0055699928d5a30d4bf76fc53f639d1,,semantic_scholar,,"A novel theoretical method based on the topological formulation of complex neutrosophic soft sets (CNSS) is presented in this work. We go on to provide a thorough one-value complex neutrosophic soft topology, defining the most important topological properties such as interior, closure, and other rel"
411,,Physics-constrained normalizing flow for identification and modeling of vortex-induced vibration in stay cables,Zhe Wang; Zhiping Mao; Shanwu Li; Yongchao Yang,2025,Nonlinear dynamics,,,,,0,0.000,0.000,10.1007/s11071-025-11808-7,https://www.semanticscholar.org/paper/6deff5669b35c03cc76d9aca92d728d767457d59,,semantic_scholar,,
412,,A Formal Approach to Optimally Configure a Fully Connected Multilayer Hybrid Neural Network,Goutam Chakraborty; V. Azhmyakov; Luz Adriana Guzman Trujillo,2024,Mathematics,,,,,1,0.000,0.000,10.3390/math13010129,https://www.semanticscholar.org/paper/b3db2c99afe5331efd518378e6b8b52bdfca63d9,,semantic_scholar,,"This paper is devoted to a novel formal analysis, optimizing the learning models for feedforward multilayer neural networks with hybrid structures. The proposed mathematical description replicates a specific switched-type optimal control problem (OCP). We have developed an equivalent, optimal contro"
413,,Stochastic Mechanics: The Unification of Quantum Mechanics with Brownian Motion,F. Kuipers,2023,SpringerBriefs in Physics,,,,,19,0.000,0.000,10.1007/978-3-031-31448-3,https://www.semanticscholar.org/paper/2c992e3b47c4b77f633cb50ad938dd6a4612f75b,,semantic_scholar,,"We unify Brownian motion and quantum mechanics in a single mathematical framework. In particular, we show that non-relativistic quantum mechanics of a single spinless particle on a flat space can be described by a Wiener process that is rotated in the complex plane. We then extend this theory to rel"
414,,Mathematical programming formulations for piecewise polynomial functions,B. Grimstad; B. Knudsen,2020,Journal of Global Optimization,,,,,5,0.000,0.000,10.1007/s10898-020-00881-4,https://www.semanticscholar.org/paper/67afb6ca1c18e78566e9eb220ca62ef93a9876e3,https://link.springer.com/content/pdf/10.1007/s10898-020-00881-4.pdf,semantic_scholar,,"This paper studies mathematical programming formulations for solving optimization problems with piecewise polynomial (PWP) constraints. We elaborate on suitable polynomial bases as a means of efficiently representing PWPs in mathematical programs, comparing and drawing connections between the monomi"
415,,Simple concepts and meanings: adequacy from below,P. Pietroski; Thomas Icard,2025,Meaning: a journal of linguistics and philosophy,,,,,0,0.000,0.000,10.46586/meaning.2025.a1,https://www.semanticscholar.org/paper/35a97dca831b3be09190c402de405c68fd850131,,semantic_scholar,,"We offer a limited account of concept composition, formalized in terms of a calculus that has the computational complexity of propositional logic. We then show that small additions to this core system have dramatic effects, inviting an old idea that Pietroski 2018 develops: linguistic meanings are i"
416,,The Rigidity of Constraint: A Spencer-Hodge Theoretic Approach to the Hodge Conjecture,Dongzhe Zheng,2025,,,,,,1,0.000,0.000,,https://www.semanticscholar.org/paper/372c47ab6eb6131f9c826d57bb435b0f5ef7aa0f,,semantic_scholar,,"This paper proposes a new theoretical perspective for studying the Hodge conjecture through an analytical framework based on constraint geometry. Our theory begins with a key observation: in compatible pair Spencer theory, a""differential degeneration""mechanism simplifies Spencer differential operato"
417,,Research on the Innovation of School-Enterprise Collaborative Talent Cultivation Model for Electronic Major in Technical Schools and Dongying Petroleum Equipment Enterprises,Shuhui Guo,2025,International Journal of Social Science Education and Humanities,,,,,0,0.000,0.000,10.63313/ijsseh.9015,https://www.semanticscholar.org/paper/5b68cd4ebe51c188593945cbbfa8357b78bbbdd7,,semantic_scholar,,"As a national key base for petroleum equipment manufacturing, Dongying has an industrial scale accounting for more than one-fifth of the national total and half of Shandong Province. As early as 2012, it achieved a total industrial output value of 50 billion yuan, with the production capacity of lea"
418,,Governing progress: From cybernetic homeostasis to Simondon’s politics of metastability,Andrea Bardin; Marco Ferrari,2022,Sociology Review,,,,,9,0.000,0.000,10.1177/00380261221084426,https://www.semanticscholar.org/paper/d9b534b770c541d6e4468707131d37eea05f251b,https://doi.org/10.1177/00380261221084426,semantic_scholar,,"In this article we analyse the idea of progress and show that, since its early-modern inception, it has relied on a twofold commitment. On the one hand, it rests on a project of mathematical modelisation of natural and social reality, deterministically conceived. On the other hand, it requires the p"
419,,An Introduction to Infinite-Dimensional Differential Geometry,Alexander Schmeding,2021,,,,,,24,0.000,0.000,10.1017/9781009091251,https://www.semanticscholar.org/paper/4b62c97c63b4d147a36ab75e187da6172fd2bc01,https://www.cambridge.org/core/services/aop-cambridge-core/content/view/6483795C98EE417C0F3654F6C192C3BC/9781316514887AR.pdf/An_Introduction_to_Infinite-Dimensional_Differential_Geometry.pdf?event-type=FTLA,semantic_scholar,,"Introducing foundational concepts in infinite-dimensional differential geometry beyond Banach manifolds, this text is based on Bastiani calculus. It focuses on two main areas of infinite-dimensional geometry: infinite-dimensional Lie groups and weak Riemannian geometry, exploring their connections t"
420,,"""How Sweet the Sound"": The Lived Hymn Tradition",H. Thomas,2022,,,,,,0,0.000,0.000,,https://www.semanticscholar.org/paper/6446f367083e64afbf1a8be6dc34839681eab2c1,,semantic_scholar,,
421,,MASTER DEGREE COURSES OFFERED IN ENGLISH IN SUMMER SEMESTER 2022,W. Tuschmann; M. Axenovich,2022,,,,,,0,0.000,0.000,,https://www.semanticscholar.org/paper/abbd03f784576545a4dc2a97223002b85b606658,,semantic_scholar,,
422,,THE AGE OF ICONICAL PROLIFERATION: POSTMODERNIST WORKS IN THE VALENCIAN ARCHIVE OF DESIGN,Vicente Pla-Vivas,2021,Modernism and Postmodernism Studies Network,,,,,1,0.000,0.000,10.47333/modernizm.2021273789,https://www.semanticscholar.org/paper/f0bb6bf94690838b10363630d2d2eedac6a4e1a3,https://dergi.modernizm.org/index.php/journal/article/download/153/79,semantic_scholar,,"The Arxiu Valencià del Disseny (Valencian Archive of Design; Spain) has among its collections a wide amount of records illustrating the works of designers such as Eduardo Albors, Paco Bascuñán, José Juan Belda, Pepe Benlliure, Lola Castelló, Silvia García and Vicent Martínez. These authors achieved "
423,,Title: Novel drivers of virulence in Clostridioides difficile identified via context-specific metabolic network analysis Running title: Metabolic determinants of C. difficile virulence Authors:,Matthew L. Jenior; Jhansi L. Leslie; Deborah A. Powers; Elizabeth M. Garrett; Kimberly A. Walker,2021,,,,,,0,0.000,0.000,,https://www.semanticscholar.org/paper/c05eda30d3ae8eefcea4b930f6af979322d7fc42,,semantic_scholar,,
424,,Additional Cooling of Engine Exhaust Gas,J. Hradisky,2021,FISITA World Congress 2021 - Technical Programme,,,,,0,0.000,0.000,10.46720/f2020-adm-075,https://www.semanticscholar.org/paper/a48da6be376ae072e368f78e6eea50444d270fd9,,semantic_scholar,,"BACKGROUND Nowadays with the demanding regulation of exhaust gas emissions comes a requirement on the operation of SI-combustion engine entirely with the stoichiometric fuel-air mixture (λ=1). Since the enriched mixture has been used mainly for preventing the overheating of catalytic convertor, it’s"
425,,The Political Economy of the World Health Organization Model Lists of Essential Medicines.,Kristina Jenei,2025,Milbank Quarterly,,,,,2,0.000,0.000,10.1111/1468-0009.70001,https://www.semanticscholar.org/paper/2bac6d9130265223b5bc0433b966b659aabf0ff9,,semantic_scholar,,"Policy Points The World Health Organization (WHO) Model Lists of Essential Medicines (EML) aims to select clinically beneficial and cost-effective medicines that ought to be prioritized by health systems based on the priority needs of their populations. However, the rapid evolution within the pharma"
426,,"Integrating care with equity-deserving communities from the ground-up: High Priority Communities Strategy in Markham, Ontario",Sherlyn Hu; Helen Leung; Janet Lum; Freida Chavez; Paul Williams,2025,International Journal of Integrated Care,,,,,0,0.000,0.000,10.5334/ijic.nacic24233,https://www.semanticscholar.org/paper/fea510d94d9ef87310c05cb76c6ffd99f3d6f2ff,,semantic_scholar,,"BACKGROUND: The High Priority Communities Strategy (HPCS) was a Made in Ontario model funded by Ontario Health between 2020 and 2024 in not only successfully reduced the transmission and severity of COVID-9 pandemic in 7 identified Ontario communities marked by elevated material deprivation, and ada"
427,,The Study of Capacitor Voltage Balancing Control for Hybrid Modular Multilevel Converter with Grid-Tied-Cascaded full Bridge Approach,Anurag Soni; P. Tiwari,2022,,,,,,0,0.000,0.000,,https://www.semanticscholar.org/paper/ceab612860cf2dea9d776e96a22b045c1fab0857,,semantic_scholar,,
428,,The virtual NEST Conference 2022,H. Plesser; A. Morrison,2022,,,,,,0,0.000,0.000,,https://www.semanticscholar.org/paper/94a884cfe4b4595e26fd5fe789d66133f55986b0,,semantic_scholar,,
429,,"REPUTATION SYMPOSIUM 30 AUGUST – 1 SEPTEMBER 2022 SAÏD BUSINESS SCHOOL, UNIVERSITY OF OXFORD",R. Younger,2022,,,,,,0,0.000,0.000,,https://www.semanticscholar.org/paper/908d570a91c78818d6e6546fa7a151c97bdbd80f,,semantic_scholar,,
430,,Astrobiology as a NASA Grand Challenge,S. Domagal‐Goldman; G. Arney; E. Lopez,2021,,,,,,2,0.000,0.000,10.3847/25C2CFEB.A1568216,https://www.semanticscholar.org/paper/387c57890bb7011fa89184569139ffb447cce4e9,https://doi.org/10.3847/25c2cfeb.a1568216,semantic_scholar,,"Are we alone” is a question whose ambition can only be met with a NASA-led global collaboration. In this white paper, we describe how this makes “The Search for Life Beyond Earth” a new Grand Challenge for NASA. As described in the White House Office of Science and Technology Policy and the White Ho"
431,,Health-Related Digital Autonomy. A Response to the Commentaries,Sebastian Laacke; Regina Mueller; G. Schomerus; Sabine Salloch,2021,American Journal of Bioethics,,,,,1,0.000,0.000,10.1080/15265161.2021.1965257,https://www.semanticscholar.org/paper/6817ff259af3abbe24898e598435f634def15dd1,,semantic_scholar,,"The COVID-19 pandemic has been a threat to both physical and mental health. The spreading disease and its impacts, the containment measures and the way all of our lives have dramatically changed have caused psychological stress and distress, aggravating existing mental health issues and evoking new "
432,,Analysis of the presence of Eastern elements in Frankenstien Mary Shelly,N. Dorri; S. Amiri,2021,,,,,,0,0.000,0.000,10.22103/JCL.2021.15926.3083,https://www.semanticscholar.org/paper/6ca4329c717074265fbd855511edad50debc76c0,,semantic_scholar,,
433,,Logic,E. Baxter,2020,The Works of Thomas De Quincey,,,,,0,0.000,0.000,10.4324/9780429349140-4,https://www.semanticscholar.org/paper/ff378d6c873dcd8c9c63da56a939fa988d0c2172,,semantic_scholar,,"Company Summary: Alert Logic provides a holistic SaaS solution for comprehensive application security in cloud and hybrid environments. In contrast to point solutions from competitors, Alert Logic offers a full suite of services that secure the entire application environment, regardless of where the"
434,,Randomization Times under Quantum Chaotic Hamiltonian Evolution,Souradeep Ghosh; Nicholas Hunter-Jones; Joaquin F. Rodriguez-Nieva,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25074v1,https://arxiv.org/pdf/2512.25074v1,arxiv,,"Randomness generation through quantum-chaotic evolution underpins foundational questions in statistical mechanics and applications across quantum information science, including benchmarking, tomography, metrology, and demonstrations of quantum computational advantage. While statistical mechanics suc"
435,,AdaGReS:Adaptive Greedy Context Selection via Redundancy-Aware Scoring for Token-Budgeted RAG,Chao Peng; Bin Wang; Zhilei Long; Jinfang Sheng,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25052v1,https://arxiv.org/pdf/2512.25052v1,arxiv,,"Retrieval-augmented generation (RAG) is highly sensitive to the quality of selected context, yet standard top-k retrieval often returns redundant or near-duplicate chunks that waste token budget and degrade downstream generation. We present AdaGReS, a redundancy-aware context selection framework for"
436,,Towards precision cosmology with Voids x CMB correlations (I): Roman-Agora mock catalogs and pipeline validation,Mar Pérez Sar; Carlos Hernández Monteagudo; András Kovács; Alice Pisani,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25040v1,https://arxiv.org/pdf/2512.25040v1,arxiv,,"We construct and validate a set of multi-purpose mock galaxy catalogs designed to capture, to different degrees of accuracy, the main characteristics of the Nancy Grace Roman Space Telescope survey. These catalogs provide a foundation for void statistics and various CMB cross-correlation analyses. O"
437,,Large Neutrino-Dark Matter Interactions: From Effective Field Theory to Ultraviolet Completions,K. S. Babu; P. S. Bhupal Dev; Anil Thapa,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25035v1,https://arxiv.org/pdf/2512.25035v1,arxiv,,"We develop a general effective field theory (EFT) framework for neutrino-dark matter (DM) interactions, and apply it to systematically find all possible gauge-invariant ultraviolet (UV) completions at a given EFT operator dimension. Our goal here is to find simple UV-complete models that can realize"
438,,Diffusion Language Models are Provably Optimal Parallel Samplers,Haozhe Jiang; Nika Haghtalab; Lijie Chen,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25014v1,https://arxiv.org/pdf/2512.25014v1,arxiv,,Diffusion language models (DLMs) have emerged as a promising alternative to autoregressive models for faster inference via parallel token generation. We provide a rigorous foundation for this advantage by formalizing a model of parallel sampling and showing that DLMs augmented with polynomial-length
439,,Bi-C2R: Bidirectional Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification,Zhenyu Cui; Jiahuan Zhou; Yuxin Peng,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.25000v1,https://arxiv.org/pdf/2512.25000v1,arxiv,,"Lifelong person Re-IDentification (L-ReID) exploits sequentially collected data to continuously train and update a ReID model, focusing on the overall performance of all data. Its main challenge is to avoid the catastrophic forgetting problem of old knowledge while training on new data. Existing L-R"
440,,Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis,Seunghoon Paik; Kangjie Zhou; Matus Telgarsky; Ryan J. Tibshirani,2025,arXiv,,,,,0,0.000,0.000,,http://arxiv.org/abs/2512.24999v1,https://arxiv.org/pdf/2512.24999v1,arxiv,,"We introduce \textit{basic inequalities} for first-order iterative optimization algorithms, forming a simple and versatile framework that connects implicit and explicit regularization. While related inequalities appear in the literature, we isolate and highlight a specific form and develop it as a w"