Tootfinder

Our guide to every Week 15 NFL game: Matchup previews, predictions and what's at stake https://www.espn.com/nfl/story/_/page/viewersguide47256881/nfl-week-15-picks-predictions-schedule-fantasy-football-…

edit_wikibooks: Wikipedia book edits (2010)
Two bipartite user-page networks extracted from Wikipedia, about books. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 5267 nodes and 12212 edges.
Tags: Informational, Web graph, Multigraph, Timestamps
…

Simultaneous Frequentist Calibration of Confidence Regions for Multiple Functionals in Constrained Inverse Problems
Pau Batlle, Pratik Patil, Michael Stanley, Javier Ruiz Lupon, Houman Owhadi, Mikael Kuusela
https://arxiv.org/abs/2510.11708

Simultaneous Frequentist Calibration of Confidence Regions for Multiple Functionals in Constrained Inverse Problems
Many scientific analyses require simultaneous comparison of multiple functionals of an unknown signal at once, calling for multidimensional confidence regions with guaranteed simultaneous frequentist under structural constraints (e.g., non-negativity, shape, or physics-based). This paper unifies and extends many previous optimization-based approaches to constrained confidence region construction in linear inverse problems through the lens of statistical test inversion. We begin by reviewing the…

AI-Agents for Culturally Diverse Online Higher Education Environments
Fuze Sun, Paul Craig, Lingyu Li, Shixiangyue Meng, Chuxi Nan
https://arxiv.org/abs/2510.10520 https://

AI-Agents for Culturally Diverse Online Higher Education Environments
As the global reach of online higher education continues to grow, universities are increasingly accommodating students from diverse cultural backgrounds \parencite{tereshko2024culturally}. This can present a number of challenges including linguistic barriers \parencite{ullah2021linguistic}, cultural differences in learning style \parencite{omidvar2012cultural}, cultural sensitivity in course design \parencite{nguyen2022cultural} and perceived isolation when students feel their perspectives or e…

Lecture Notes on Verifying Graph Neural Networks
Fran\c{c}ois Schwarzentruber
https://arxiv.org/abs/2510.11617 https://arxiv.org/pdf/2510.11617

Lecture Notes on Verifying Graph Neural Networks
In these lecture notes, we first recall the connection between graph neural networks, Weisfeiler-Lehman tests and logics such as first-order logic and graded modal logic. We then present a modal logic in which counting modalities appear in linear inequalities in order to solve verification tasks on graph neural networks. We describe an algorithm for the satisfiability problem of that logic. It is inspired from the tableau method of vanilla modal logic, extended with reasoning in quantifier-free…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/5]:
- Dual Cluster Contrastive learning for Object Re-Identification
Hantao Yao, Changsheng Xu

[2025-10-14 Tue (UTC), 15 new articles found for hep-th High Energy Physics - Theory]
toXiv_bot_toot

Was war am 14. Oktober 1066 bei Hastings los?
Die FAZ zur Sendung "Geschichte in Zahlen" bei #arte
https://zeitung.faz.net/data/488/reade

[2025-10-14 Tue (UTC), 26 new articles found for cs.HC Human-Computer Interaction]
toXiv_bot_toot

InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
Qiaosheng Chen, Yang Liu, Lei Li, Kai Chen, Qipeng Guo, Gong Cheng, Fei Yuan
https://arxiv.org/abs/2510.09724

InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
Large Language Models (LLMs) are increasingly capable of generating complete applications from natural language instructions, creating new opportunities in science and education. In these domains, interactive scientific demonstrations are particularly valuable for explaining concepts, supporting new teaching methods, and presenting research findings. Generating such demonstrations requires models to combine accurate scientific knowledge with the ability to implement interactive front-end code t…

JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding
Chenlong He, Zijing Dong, Min Li, Zhijian Hao, Leilei Huang, Xiaoyang Zeng, Yibo Fan
https://arxiv.org/abs/2510.10648

JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding
Just Noticeable Distortion (JND)-guided pre-filter is a promising technique for improving the perceptual compression efficiency of image coding. However, existing methods are often computationally expensive, and the field lacks standardized benchmarks for fair comparison. To address these challenges, this paper introduces a twofold contribution. First, we develop and open-source FJNDF-Pytorch, a unified benchmark for frequency-domain JND-Guided pre-filters. Second, leveraging this platform, we …

The Fire We Share
Chen Wang, Mengtan Lin
https://arxiv.org/abs/2510.10841 https://arxiv.org/pdf/2510.10841

The Fire We Share
The Fire We Share proposes a care-centered, consequence-aware visualization framework for engaging with wildfire data not as static metrics, but as living archives of ecological and social entanglement. By combining plants-inspired data forms, event-based mapping, and narrative layering, the project foregrounds fire as a shared temporal condition-one that cuts across natural cycles and human systems. Rather than simplifying wildfire data into digestible visuals, The Fire We Share reimagines it …

Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games
Anastasia Psarou, {\L}ukasz Gorczyca, Dominik Gawe{\l}, Rafa{\l} Kucharski
https://arxiv.org/abs/2510.11410

Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games
Previous work has shown that when multiple selfish Autonomous Vehicles (AVs) are introduced to future cities and start learning optimal routing strategies using Multi-Agent Reinforcement Learning (MARL), they may destabilize traffic systems, as they would require a significant amount of time to converge to the optimal solution, equivalent to years of real-world commuting. We demonstrate that moving beyond the selfish component in the reward significantly relieves this issue. If each AV, apart…

Completely Positive Biquadratic Tensors
Liqun Qi, Chunfeng Cui, Haibin Chen, Yi Xu
https://arxiv.org/abs/2510.10972 https://arxiv.org/pdf/2510.10972…

Completely Positive Biquadratic Tensors
In this paper, we systemically introduce completely positive biquadratic (CPB) tensors and copositive biquadratic tensors. We show that all weakly CPB tensors are sum of squares tensors, the CPB tensor cone and the copositive biquadratic tensor cone are dual cone to each other. We also show that the outer product of two completely positive matrices is a CPB tensor, and the outer product of two copositive matrices is a copositive biquadratic tensor. We then study two easily checkable subclasses …

Machine Learning-Integrated Hybrid Fluid-Kinetic Framework for Quantum Electrodynamic Laser Plasma Simulations
Sadra Saremi, Amirhossein Ahmadkhan Kordbacheh
https://arxiv.org/abs/2510.11174

Machine Learning-Integrated Hybrid Fluid-Kinetic Framework for Quantum Electrodynamic Laser Plasma Simulations
High-intensity laser plasma interactions create complex computational problems because they involve both fluid and kinetic regimes, which need models that maintain physical precision while keeping computational speed. The research introduces a machine learning-based three-dimensional hybrid fluid-particle-in-cell (PIC) system, which links relativistic plasma behavior to automatic regime transitions. The technique employs fluid approximations for stable areas but activates the PIC solver when Sw…

The US urged UN members to take a tougher stance against North Korea IT worker scams and crypto thefts; an October 2025 report said 40 countries were affected (Jonathan Greig/The Record)
https://therecord.media/40-countries-impacted-nk-it-thefts-united-nations

More than 40 countries impacted by North Korea IT worker scams, crypto thefts
Eleven countries led a session at the UN headquarters in New York centered around a 140-page report released last fall that covered North Korea’s extensive cyber-focused efforts to fund its nuclear and ballistic weapons program.

Replaced article(s) found for math.SG. https://arxiv.org/list/math.SG/new
[1/1]:
- Reduction of Cosymplectic groupoids by cosymplectic moment maps
Daniel L\'opez Garcia, Nicolas Martinez Alba
https://arxiv.org/abs/2403.03178 https://mastoxiv.page/@arXiv_mathSG_bot/112047445404247851
- Algebraic Lagrangian cobordisms, flux and the Lagrangian Ceresa cycle
Alexia Corradini
https://arxiv.org/abs/2501.12850 https://mastoxiv.page/@arXiv_mathSG_bot/113876409190220093
- Systolic $S^1$-index and characterization of non-smooth Zoll convex bodies
Stefan Matijevi\'c
https://arxiv.org/abs/2501.13856 https://mastoxiv.page/@arXiv_mathSG_bot/113882071591631203
- Infinite-dimensional Lagrange-Dirac systems with boundary energy flow I: Foundations
Fran\c{c}ois Gay-Balmaz, \'Alvaro Rodr\'iguez Abella, Hiroaki Yoshimura
https://arxiv.org/abs/2501.17551 https://mastoxiv.page/@arXiv_mathSG_bot/113916045279374601
- The Simplicity of the Group of Weakly Hamiltonian Diffeomorphisms on Cosymplectic Manifolds
S. Tchuiaga, P. Bikorimana
https://arxiv.org/abs/2503.10224 https://mastoxiv.page/@arXiv_mathSG_bot/114159599811622365
- Regular semisimple Hessenberg varieties with cohomology rings generated in degree two
Mikiya Masuda, Takashi Sato
https://arxiv.org/abs/2301.03762 https://mastoxiv.page/@arXiv_mathAG_bot/109669428824274443
- Billiards and Hofer's Geometry
Mark Berezovik, Konstantin Kliakhandler, Yaron Ostrover, Leonid Polterovich
https://arxiv.org/abs/2507.04767 https://mastoxiv.page/@arXiv_mathDS_bot/114817105311885626
- Geometric, topological and dynamical properties of conformally symplectic systems, normally hyper...
Marian Gidea, Rafael de la Llave, Tere M-Seara
https://arxiv.org/abs/2508.14794 https://mastoxiv.page/@arXiv_mathDS_bot/115065890424433224
toXiv_bot_toot

Replaced article(s) found for math.GN. https://arxiv.org/list/math.GN/new
[1/1]:
- An Adaptation of the Vietoris Topology for Ordered Compact Sets
Christopher Caruvana, Jared Holshouser
https://arxiv.org/abs/2507.17936 https://mastoxiv.page/@arXiv_mathGN_bot/114912817437529340
- No Nowhere Constant Continuous Function Maps All Non-Normal Numbers to Normal Numbers
Chokri Manai
https://arxiv.org/abs/2506.15422 https://mastoxiv.page/@arXiv_mathNT_bot/114709233846620023
toXiv_bot_toot

Precise boron abundance in a sample of metal-poor stars from far-ultraviolet lines
Monique Spite, Beatriz Barbuy, Kefeng Tan
https://arxiv.org/abs/2510.11594 https://

Precise boron abundance in a sample of metal-poor stars from far-ultraviolet lines
The light elements beryllium (Be; $Z=4$) and boron (B; $Z=5$) are mainly produced by spallation reactions between cosmic rays and carbon (C; $Z=6$), nitrogen (N; $Z=7$), and oxygen (O; $Z=8$) nuclei. Only traces of Be or B would have been produced in the Big Bang, but there could be a contribution from the $ν$-process in type II supernovae. Their abundances at very low metallicities have been debated in the literature, with the aim of understanding their origin. Our aim is to derive the bo…

The Axiom of Real Determinacy and the Axiom of Real Blackwell Determinacy
Daisuke Ikegami, W. Hugh Woodin
https://arxiv.org/abs/2510.11034 https://arxiv.or…

The Axiom of Real Determinacy and the Axiom of Real Blackwell Determinacy
We show that the Axiom of Real Determinacy $\mathsf{AD}_{\mathbb{R}}$ and the Axiom of Real Blackwell Determinacy $\mathsf{Bl}\text{-}\mathsf{AD}_{\mathbb{R}}$ are equivalent in $\mathsf{ZF}$+$\mathsf{DC}$. This answers the question of Löwe [15, Question 53]. While we do not know whether they are equivalent in $\mathsf{ZF}$+$\mathsf{AC}_ω (\mathbb{R})$, we show that the theories $\mathsf{ZF}$+$\mathsf{AD}_{\mathbb{R}}$ and $\mathsf{ZF}$+$\mathsf{AC}_ω (\mathbb{R})$+$\mathsf{Bl}\text{-}\maths…

Spatial Signal Focusing and Noise Suppression for Direction-of-Arrival Estimation in Large-Aperture 2D Arrays under Demanding Conditions
Xuyao Deng, Yong Dou, Kele Xu
https://arxiv.org/abs/2510.10923

Spatial Signal Focusing and Noise Suppression for Direction-of-Arrival Estimation in Large-Aperture 2D Arrays under Demanding Conditions
Direction-of-Arrival (DOA) estimation in sensor arrays faces limitations under demanding conditions, including low signal-to-noise ratio, single-snapshot scenarios, coherent sources, and unknown source counts. Conventional beamforming suffers from sidelobe interference, adaptive methods (e.g., MVDR) and subspace algorithms (e.g., MUSIC) degrade with limited snapshots or coherent signals, while sparse-recovery approaches (e.g., L1-SVD) incur high computational complexity for large arrays. In thi…

TWIN: Two window inspection for online change point detection
Patrick Bastian, Tim Kutta
https://arxiv.org/abs/2510.11348 https://arxiv.org/pdf/2510.11348

TWIN: Two window inspection for online change point detection
We propose a new class of sequential change point tests, both for changes in the mean parameter and in the overall distribution function. The methodology builds on a two-window inspection scheme (TWIN), which aggregates data into symmetric samples and applies strong weighting to enhance statistical performance. The detector yields logarithmic rather than polynomial detection delays, representing a substantial reduction compared to state-of-the-art alternatives. Delays remain short, even for lat…

AI in Computational Thinking Education in Higher Education: A Systematic Literature Review
Ebrahim Rahimi, Clara Maathuis
https://arxiv.org/abs/2510.09677 https://

AI in Computational Thinking Education in Higher Education: A Systematic Literature Review
Computational Thinking (CT) is a key skill set for students in higher education to thrive and adapt to an increasingly technology-driven future and workplace. While research on CT education has gained remarkable momentum in K12 over the past decade, it has remained under-explored in higher education, leaving higher education teachers with an insufficient overview, knowledge, and support regarding CT education. The proliferation and adoption of artificial intelligence (AI) by educational institu…

Representations
Paul Brunet (UPEC UP12, LACL)
https://arxiv.org/abs/2510.11419 https://arxiv.org/pdf/2510.11419

Representations
The formal analysis of automated systems is an important and growing industry. This activity routinely requires new verification frameworks to be developed to tackle new programming features, or new considerations (bugs of interest). Often, one particular property can prove frustrating to establish: completeness of the logic with respect to the semantics. In this paper, we try and make such developments easier, with a particular attention on completeness. Towards that aim, we propose a formal (…

GraviGUT unification with revisited Pati-Salam model
Stephon Alexander, Bruno Alexandre, Michael Fine, Jo\~ao Magueijo, Ed\v{z}us N\=akums
https://arxiv.org/abs/2510.11674 https…

GraviGUT unification with revisited Pati-Salam model
We propose a graviGUT unification scheme based on the simple orthogonal group $\mathrm{SO}(1,9 ,\mathbb{C})$ that resolves the chiral duplication of weak isospin in Pati--Salam models. In the conventional $SU(4)\times SU(2)_+\times SU(2)_-$ framework, the unobserved second chiral $SU(2)$ is typically removed by ad hoc high-energy scale breaking. Here we instead \emph{geometrize} it: one $SU(2)$ factor is identified with a chiral half of the Lorentz group, so it belongs to gravity rather than to…

MATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization
Ningna Wang, Rui Xu, Yibo Yin, Zichun Zhong, Taku Komura, Wenping Wang, Xiaohu Guo
https://arxiv.org/abs/2510.10751

MATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization
We propose a novel optimization framework for computing the medial axis transform that simultaneously preserves the medial structure and ensures high medial mesh quality. The medial structure, consisting of interconnected sheets, seams, and junctions, provides a natural volumetric decomposition of a 3D shape. Our method introduces a structure-aware, particle-based optimization pipeline guided by the restricted power diagram (RPD), which partitions the input volume into convex cells whose dual e…

A Vision for Access Control in LLM-based Agent Systems
Xinfeng Li, Dong Huang, Jie Li, Hongyi Cai, Zhenhong Zhou, Wei Dong, XiaoFeng Wang, Yang Liu
https://arxiv.org/abs/2510.11108

A Vision for Access Control in LLM-based Agent Systems
The autonomy and contextual complexity of LLM-based agents render traditional access control (AC) mechanisms insufficient. Static, rule-based systems designed for predictable environments are fundamentally ill-equipped to manage the dynamic information flows inherent in agentic interactions. This position paper argues for a paradigm shift from binary access control to a more sophisticated model of information governance, positing that the core challenge is not merely about permission, but about…

The Levi-Civita products of Leibniz algebras with nondegenerate skew-symmetric 2-cocycles
Quan Zhao, Guilai Liu
https://arxiv.org/abs/2510.10949 https://ar…

The Levi-Civita products of Leibniz algebras with nondegenerate skew-symmetric 2-cocycles
This paper studies the associated Levi-Civita products of a Leibniz algebra with a nondegenerate skew-symmetric $2$-cocycle. Such products form into the notion of an anti-pre-Leibniz algebra, which is characterized as a Leibniz-admissible algebra which renders a representation of the sub-adjacent Leibniz algebra through the negative multiplication operators. Such a characterization serves as the converse side of the role that pre-Liebniz algebras play in the splitting theory of Leibniz algebras…

Thermal and Electrical Conductivities of Aluminum Up to 1000 eV: A First-Principles Prediction
Qianrui Liu, Xiantu He, Mohan Chen
https://arxiv.org/abs/2510.10112 https://

Thermal and Electrical Conductivities of Aluminum Up to 1000 eV: A First-Principles Prediction
Accurate prediction of the thermal and electrical conductivities of materials under extremely high temperatures is essential in high-energy-density physics. These properties govern processes such as stellar core dynamics, planetary magnetic field generation, and laser-driven plasma evolution. However, first-principles methods like Kohn-Sham (KS) density functional theory (DFT) face challenges in predicting these properties due to prohibitively high computational costs. We propose a scheme that …

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[5/5]:
- Object-centric proto-symbolic behavioural reasoning from pixels
Ruben van Bergen, Justus H\"ubotter, Alma Lago, Pablo Lanillos

Crosslisted article(s) found for math.SG. https://arxiv.org/list/math.SG/new
[1/1]:
- Induced Representations on Character Varieties of Surfaces
Indranil Biswas, Jacques Hurtubise, Lisa C. Jeffrey, Sean Lawton
https://arxiv.org/abs/2511.07817 https://mastoxiv.page/@arXiv_mathAG_bot/115535987975441260
- On the orbit space of a maximal compact subgroup on a spherical homogeneous variety
Dmitry A. Timashev
https://arxiv.org/abs/2511.08489 https://mastoxiv.page/@arXiv_mathAG_bot/115536053488864124
toXiv_bot_toot

wiki_talk: Wikipedia talk networks
Interactions among users of 10 language-specific Wikipedias: Arabic, Chinese, Dutch, English, French, German, Italian, Portuguese, Russian, and Spanish. Nodes are registered wiki editors, and an edge represents a user i having written a message on user j's talk page. Edges are timestamped. The precise dates of the snapshots are uncertain.
This network has 225749 nodes and 1554699 edges.
Tags: Social, Communication, Unweighted, Multigra…

[2025-10-14 Tue (UTC), 2 new articles found for math.ST Statistics Theory]
toXiv_bot_toot

Spatially Filtered Sparse Bayesian Learning for Direction-of-Arrival Estimation with Leaky-Wave Antennas
R. Maydani, Y. Wang, J. Sarrazin, B. Ma
https://arxiv.org/abs/2510.10796

Spatially Filtered Sparse Bayesian Learning for Direction-of-Arrival Estimation with Leaky-Wave Antennas
Direction-of-arrival (DoA) estimation with leaky-wave antennas (LWAs) offers a compact and cost-effective alternative to conventional antenna arrays but remains challenging in the presence of coherent sources. To address this issue, we propose a spatially filtered sparse Bayesian learning (SF-SBL) framework. Firstly, the field of view (FoV) is divided into angular sectors according to the frequency beam-scanning property of LWAs, and Bayesian inverse problems are then solved within each sector …

A Denotational Product Construction for Temporal Verification of Effectful Higher-Order Programs
Kazuki Watanabe, Mayuko Kori, Taro Sekiyama, Satoshi Kura, Hiroshi Unno
https://arxiv.org/abs/2510.11320

A Denotational Product Construction for Temporal Verification of Effectful Higher-Order Programs
We propose a categorical framework for linear-time temporal verification of effectful higher-order programs, including probabilistic higher-order programs. Our framework provides a generic denotational reduction -- namely, a denotational product construction -- from linear-time safety verification of effectful higher-order programs to computation of weakest pre-conditions of product programs. This reduction enables us to apply existing algorithms for such well-studied computations of weakest pr…

Personalized and Constructive Feedback for Computer Science Students Using the Large Language Model (LLM)
Javed Ali Khan, Muhammad Yaqoob, Mamoona Tasadduq, Hafsa Shareef Dar, Aitezaz Ahsan
https://arxiv.org/abs/2510.11556

Personalized and Constructive Feedback for Computer Science Students Using the Large Language Model (LLM)
The evolving pedagogy paradigms are leading toward educational transformations. One fundamental aspect of effective learning is relevant, immediate, and constructive feedback to students. Providing constructive feedback to large cohorts in academia is an ongoing challenge. Therefore, academics are moving towards automated assessment to provide immediate feedback. However, current approaches are often limited in scope, offering simplistic responses that do not provide students with personalized …

Scattering in the dual regime of Yang-Baxter deformed O(2N) sigma models
Alexey Bychkov, Boris Nekrasov
https://arxiv.org/abs/2510.11429 https://arxiv.org/…

Scattering in the dual regime of Yang-Baxter deformed O(2N) sigma models
We continue to explore the previously suggested dual regime of Yang-Baxter (YB) deformed $\mathrm{O}(2N)$ sigma models, which is a new one-parametric deformation of the $\mathrm{O}(2N)$ model. It can be obtained from the conventional YB deformed $\mathrm{O}(2N+2)$ sigma model by freezing two isometries. The scattering matrix in the non-deformed $\mathrm{O}(n)$ model is known coincide with the rational $\mathfrak{so}_n$-invariant $R-$matrix. For $n = 2N$ this rational solution allows for two tri…

VLM-Guided Adaptive Negative Prompting for Creative Generation
Shelly Golan, Yotam Nitzan, Zongze Wu, Or Patashnik
https://arxiv.org/abs/2510.10715 https://

VLM-Guided Adaptive Negative Prompting for Creative Generation
Creative generation is the synthesis of new, surprising, and valuable samples that reflect user intent yet cannot be envisioned in advance. This task aims to extend human imagination, enabling the discovery of visual concepts that exist in the unexplored spaces between familiar domains. While text-to-image diffusion models excel at rendering photorealistic scenes that faithfully match user prompts, they still struggle to generate genuinely novel content. Existing approaches to enhance generativ…

Automating Structural Engineering Workflows with Large Language Model Agents
Haoran Liang, Yufa Zhou, Mohammad Talebi Kalaleh, Qipei Mei
https://arxiv.org/abs/2510.11004 https:/…

Automating Structural Engineering Workflows with Large Language Model Agents
We introduce $\textbf{MASSE}$, the first Multi-Agent System for Structural Engineering, effectively integrating large language model (LLM)-based agents with real-world engineering workflows. Structural engineering is a fundamental yet traditionally stagnant domain, with core workflows remaining largely unchanged for decades despite its substantial economic impact and global market size. Recent advancements in LLMs have significantly enhanced their ability to perform complex reasoning, long-hori…

Effective integration of Lie type algebras
Bruno Vallette
https://arxiv.org/abs/2510.10144 https://arxiv.org/pdf/2510.10144

Effective integration of Lie type algebras
This is a short survey on the recent developments made in the integration theory with effective formulas of algebraic structures stronger or higher than Lie algebras.

Cut-elimination for the alternation-free modal mu-calculus
Bahareh Afshari, Johannes Kloibhofer
https://arxiv.org/abs/2510.11293 https://arxiv.org/pdf/2510…

Cut-elimination for the alternation-free modal mu-calculus
We present a syntactic cut-elimination procedure for the alternation-free fragment of the modal mu-calculus. Cut reduction is carried out within a cyclic proof system, where proofs are finitely branching but may be non-wellfounded. The structure of such proofs is exploited to directly transform a cyclic proof with cuts into a cut-free one, without detouring through other logics or relying on intermediate machinery for regularisation. Novel ingredients include the use of multicuts and results fr…

[2025-10-14 Tue (UTC), 2 new articles found for physics.plasm-ph Plasma Physics]
toXiv_bot_toot

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[4/5]:
- Fairness-Aware Fine-Tuning of Vision-Language Models for Medical Glaucoma Diagnosis
Zijian Gu, Yuxi Liu, Zhenhao Zhang, Song Wang

HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing
Rajat Bhattacharjya, Woohyeok Park, Arnab Sarkar, Hyunwoo Oh, Mohsen Imani, Nikil Dutt
https://arxiv.org/abs/2510.10718

HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing
Direction of Arrival (DoA) estimation techniques face a critical trade-off, as classical methods often lack accuracy in challenging, low signal-to-noise ratio (SNR) conditions, while modern deep learning approaches are too energy-intensive and opaque for resource-constrained, safety-critical systems. We introduce HYPERDOA, a novel estimator leveraging Hyperdimensional Computing (HDC). The framework introduces two distinct feature extraction strategies -- Mean Spatial-Lag Autocorrelation and Spa…

Detecting Gender Stereotypes in Scratch Programming Tutorials
Isabella Gra{\ss}l, Benedikt Fein, Gordon Fraser
https://arxiv.org/abs/2510.11064 https://arx…

Detecting Gender Stereotypes in Scratch Programming Tutorials
Gender stereotypes in introductory programming courses often go unnoticed, yet they can negatively influence young learners' interest and learning, particularly under-represented groups such as girls. Popular tutorials on block-based programming with Scratch may unintentionally reinforce biases through character choices, narrative framing, or activity types. Educators currently lack support in identifying and addressing such bias. With large language models~(LLMs) increasingly used to generate …

Non-Expansive Fuzzy Coalgebraic Logic
Stefan Gebhart, Lutz Schr\"oder, Paul Wild
https://arxiv.org/abs/2510.11080 https://arxiv.org/pdf/2510.11080

Non-Expansive Fuzzy Coalgebraic Logic
Fuzzy logic extends the classical truth values "true" and "false" with additional truth degrees in between, typically real numbers in the unit interval. More specifically, fuzzy modal logics in this sense are given by a choice of fuzzy modalities and a fuzzy propositional base. It has been noted that fuzzy modal logics over the Zadeh base, which interprets disjunction as maximum, are often computationally tractable but on the other hand add little in the way of expressivity to their classical c…

Hydrodynamic properties in soliton field theory
Qian Chen
https://arxiv.org/abs/2510.11244 https://arxiv.org/pdf/2510.11244

Hydrodynamic properties in soliton field theory
The crucial role of hydrodynamic instabilities in soliton field theory is revealed. We demonstrate that the essential of soliton formation mechanism is the sound mode instability induced by thermodynamic instability. This instability triggers phase separation, where new thermal phases are generated to produce solitons. These solitons can be regarded as a coexistence state composed of a matter phase and a vacuum phase, with an interface proving surface tension to maintain dynamical equilibrium. …

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

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

The Social Cost of Intelligence: Emergence, Propagation, and Amplification of Stereotypical Bias in Multi-Agent Systems
Thi-Nhung Nguyen, Linhao Luo, Thuy-Trang Vu, Dinh Phung
https://arxiv.org/abs/2510.10943

The Social Cost of Intelligence: Emergence, Propagation, and Amplification of Stereotypical Bias in Multi-Agent Systems
Bias in large language models (LLMs) remains a persistent challenge, manifesting in stereotyping and unfair treatment across social groups. While prior research has primarily focused on individual models, the rise of multi-agent systems (MAS), where multiple LLMs collaborate and communicate, introduces new and largely unexplored dynamics in bias emergence and propagation. In this work, we present a comprehensive study of stereotypical bias in MAS, examining how internal specialization, underlyi…

Local Rigidity of Quasi--Lie Brackets on Quaternionic Banach Modules and Applications to Nonlinear PDEs
Nassim Athmouni
https://arxiv.org/abs/2510.10124 https://

Local Rigidity of Quasi--Lie Brackets on Quaternionic Banach Modules and Applications to Nonlinear PDEs
We establish a local rigidity theorem for quasi--Lie brackets on quaternionic Banach right modules. Under quantitative control of antisymmetry and Jacobi defects, we construct an explicit bilinear correction that preserves right $\mathbb{H}$--linearity and restores the exact Lie property. The approach combines a radial homotopy operator, a controlled Neumann-series inversion, and a finite-rank adjustment, all with explicit operator estimates. This constructive framework bridges quaternionic fun…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[3/5]:
- Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
Jessica Plassmann, Nicolas Schuler, Georg von Freymann, Michael Schuth

A Parametric Power Model of Upper Mid-Band (FR3) Base Stations for 6G
Emanuele Peschiera, Sangbu Yun, Youngjoo Lee, Liesbet Van der Perre, Fran\c{c}ois Rottenberg
https://arxiv.org/abs/2510.10647

A Parametric Power Model of Upper Mid-Band (FR3) Base Stations for 6G
Increasing attention is given to the upper mid-band or Frequency Range 3 (FR3), from 7 to 24 GHz, in the research towards sixth-generation (6G) networks. Promises of offering large data rates at favorable propagation conditions are leading to novel FR3 base station (BS) architectures, with up to thousands of antenna elements and radio-frequency (RF) chains. This work investigates the power consumption of prospective FR3 BSs and its relation to the delivered data rates. We model the power consum…

Formally Verified Certification of Unsolvability of Temporal Planning Problems
David Wang, Mohammad Abdulaziz
https://arxiv.org/abs/2510.10189 https://arxi…

Formally Verified Certification of Unsolvability of Temporal Planning Problems
We present an approach to unsolvability certification of temporal planning. Our approach is based on encoding the planning problem into a network of timed automata, and then using an efficient model checker on the network followed by a certificate checker to certify the output of the model checker. Our approach prioritises trustworthiness of the certification: we formally verify our implementation of the encoding to timed automata using the theorem prover Isabelle/HOL and we use an existing cer…

When Openness Fails: Lessons from System Safety for Assessing Openness in AI
Tamara Paris, Shalaleh Rismani
https://arxiv.org/abs/2510.10732 https://arxiv.…

When Openness Fails: Lessons from System Safety for Assessing Openness in AI
Most frameworks for assessing the openness of AI systems use narrow criteria such as availability of data, model, code, documentation, and licensing terms. However, to evaluate whether the intended effects of openness - such as democratization and autonomy - are realized, we need a more holistic approach that considers the context of release: who will reuse the system, for what purposes, and under what conditions. To this end, we adapt five lessons from system safety that offer guidance on how …

Hidden zeros for higher-derivative YM and GR amplitudes at tree-level
Kang Zhou
https://arxiv.org/abs/2510.11070 https://arxiv.org/pdf/2510.11070

Hidden zeros for higher-derivative YM and GR amplitudes at tree-level
We extend the recently discovered phenomenon of hidden zeros to tree amplitudes for Yang-Mills (YM) and general relativity (GR) theories with higher-derivative interactions. This includes gluon amplitudes with a single insertion of the local $F^3$ operator, as well as graviton amplitudes at sub-leading and sub-sub-leading orders in the low-energy expansion of bosonic closed string amplitudes -- referred to as $R^2$ and $R^3$ amplitudes, respectively. The kinematic condition for hidden zeros lea…

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

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

Fast and the Furious: Hot Starts in Pursuit-Evasion Games
Gabriel Smithline, Scott Nivison
https://arxiv.org/abs/2510.10830 https://arxiv.org/pdf/2510.1083…

Fast and the Furious: Hot Starts in Pursuit-Evasion Games
Effectively positioning pursuers in pursuit-evasion games without prior knowledge of evader locations remains a significant challenge. A novel approach that combines game-theoretic control theory with Graph Neural Networks is introduced in this work. By conceptualizing pursuer configurations as strategic arrangements and representing them as graphs, a Graph Characteristic Space is constructed via multi-objective optimization to identify Pareto-optimal configurations. A Graph Convolutional Netwo…

$\omega$-Lie bialgebras and $\omega$-Yang-Baxter equation
Yining Sun, Zeyu Hao, Ziyi Zhang, Liangyun Chen
https://arxiv.org/abs/2510.09630 https://arxiv.or…

$ω$-Lie bialgebras and $ω$-Yang-Baxter equation
In this paper, we introduce the definition of multiplicative $ω$-Lie bialgebra, which is equivalent to the Manin triples and matched pairs. We also study the $ω$-Yang-Baxter equation and Yang-Baxter $ω$-Lie bialgebra. The skew-symmetric solutions of the $ω$-Yang-Baxter equation can be used to construct Yang-Baxter $ω$-Lie bialgebra. We further introduce the concept of the $ω$-$\mathcal{O}$-operator, which can be constructed from a left-symmetric algebras, and based on the $ω$-$\mathcal{O…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/5]:
- ExAct: A Video-Language Benchmark for Expert Action Analysis
Han Yi, Yulu Pan, Feihong He, Xinyu Liu, Benjamin Zhang, Oluwatumininu Oguntola, Gedas Bertasius

Proof Strategy Extraction from LLMs for Enhancing Symbolic Provers
Jian Fang, Yican Sun, Yingfei Xiong
https://arxiv.org/abs/2510.10131 https://arxiv.org/p…

Proof Strategy Extraction from LLMs for Enhancing Symbolic Provers
One important approach to software verification is interactive theorem proving. However, writing formal proofs often requires substantial human effort, making proof automation highly important. Traditionally, proof automation has relied on symbolic provers. Recently, large language models (LLMs) have demonstrated strong capabilities in theorem proving, complementing symbolic provers. Nonetheless, prompting LLMs can be expensive and may pose security risks for confidential codebases. As a result…

Covert Waveform Design for Integrated Sensing and Communication System in Clutter Environment
Xuyang Zhao, Jiangtao Wang, Xinyu Zhang
https://arxiv.org/abs/2510.10563 https://…

Covert Waveform Design for Integrated Sensing and Communication System in Clutter Environment
This paper proposes an integrated sensing and communication (ISAC) system covert waveform design method for complex clutter environments, with the core objective of maximizing the signal-to-clutter-plus-noise ratio (SCNR). The design achieves efficient clutter suppression while meeting the covertness requirement through joint optimization of the transmit waveform and receive filter, enabling cooperative radar detection and wireless communication. This study presents key innovations that explici…

Making Power Explicable in AI: Analyzing, Understanding, and Redirecting Power to Operationalize Ethics in AI Technical Practice
Weina Jin, Elise Li Zheng, Ghassan Hamarneh
https://arxiv.org/abs/2510.10588

Making Power Explicable in AI: Analyzing, Understanding, and Redirecting Power to Operationalize Ethics in AI Technical Practice
The operationalization of ethics in the technical practices of artificial intelligence (AI) is facing significant challenges. To address the problem of ineffective implementation of AI ethics, we present our diagnosis, analysis, and interventional recommendations from a unique perspective of the real-world implementation of AI ethics through explainable AI (XAI) techniques. We first describe the phenomenon (i.e., the "symptoms") of ineffective implementation of AI ethics in explainable AI using…

A family of three maximally symmetric boost-invariant flows in relativistic hydrodynamics
Sa\v{s}o Grozdanov
https://arxiv.org/abs/2510.10769 https://arxiv…

A family of three maximally symmetric boost-invariant flows in relativistic hydrodynamics
I discuss the constructions of boost-invariant dissipative conformal hydrodynamic flows by elaborating on the geometric procedure by Gubser and Yarom, which starts from a static, maximally symmetric flow on dS$_3\times\mathbb{R}$. Three foliations of dS$_3$ preserve three-dimensional non-Abelian isometry groups, namely, the flat ISO(2)-invariant, the spherical (closed) SO(3)-invariant, and the hyperbolic (open) SO(2,1)-invariant slicings. I show that the fluids that preserve these symmetries, a…

Unlocking Thickness Modeling for Codimensional Contact Simulation
Gonzalo Gomez-Nogales, Zhen Chen, Rosalie Martin, Elena Garces, Danny M. Kaufman
https://arxiv.org/abs/2510.10256

Unlocking Thickness Modeling for Codimensional Contact Simulation
In this work we analyze and address a fundamental restriction that blocks the reliable application of codimensional yarn-level and shell models with thickness, to simulate real-world woven and knit fabrics. As discretizations refine toward practical and accurate physical modeling, such models can generate non-physical contact forces with stencil-neighboring elements in the simulation mesh, leading to severe locking artifacts. While not well-documented in the literature, this restriction has so …

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

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

Derivation over twisted group ring and its applications
Alvaro Otero Sanchez
https://arxiv.org/abs/2510.09623 https://arxiv.org/pdf/2510.09623

Derivation over twisted group ring and its applications
This paper classifies the derivations of twisted group algebras in terms of the generators and defining relations of the group. In particular, we generalize some know results over group algebras to the case of twisted group algebras. We will give necessary and sufficient condition for a map defined over the generators to be extended to a derivation over a twisted group ring. We present how this results can be use in case of an abelian group or dihedral group. We also present how this results ca…

Modular Counting over 3-Element and Conservative Domains
Andrei A. Bulatov, Amirhossein Kazeminia
https://arxiv.org/abs/2510.09950 https://arxiv.org/pdf/25…

Modular Counting over 3-Element and Conservative Domains
In the Constraint Satisfaction Problem (CSP for short) the goal is to decide the existence of a homomorphism from a given relational structure $G$ to a given relational structure $H$. If the structure $H$ is fixed and $G$ is the only input, the problem is denoted $CSP(H)$. In its counting version, $\#CSP(H)$, the task is to find the number of such homomorphisms. The CSP and #CSP have been used to model a wide variety of combinatorial problems and have received a tremendous amount of attention f…

Crosslisted article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/1]:
- CC-GRMAS: A Multi-Agent Graph Neural System for Spatiotemporal Landslide Risk Assessment in High ...
Mihir Panchal, Ying-Jung Chen, Surya Parkash

Knowing Unknowns in an Age of Information Overload
Saurabh Khanna
https://arxiv.org/abs/2510.10413 https://arxiv.org/pdf/2510.10413

Knowing Unknowns in an Age of Information Overload
The technological revolution of the Internet has digitized the social, economic, political, and cultural activities of billions of humans. While researchers have been paying due attention to concerns of misinformation and bias, these obscure a much less researched and equally insidious problem - that of uncritically consuming incomplete information. The problem of incomplete information consumption stems from the very nature of explicitly ranked information on digital platforms, where our limit…

Large Language Model-Empowered Channel Prediction and Predictive Beamforming for LEO Satellite Communications
Zhixiong Chen, Hyundong Shin, Arumugam Nallanathan, Jonathon Chambers
https://arxiv.org/abs/2510.10561

Large Language Model-Empowered Channel Prediction and Predictive Beamforming for LEO Satellite Communications
Accurate channel prediction and effective beamforming are essential for low Earth orbit (LEO) satellite communications to enhance system capacity and enable high-speed connectivity. Most existing channel prediction and predictive beamforming methods are limited by model generalization capabilities and struggle to adapt to time-varying wireless propagation environments. Inspired by the remarkable generalization and reasoning capabilities of large language models (LLMs), this work proposes an LLM…

[2025-10-14 Tue (UTC), 9 new articles found for cs.LO Logic in Computer Science]
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Two decades of algorithmic Feynman integral reduction
Alexander Smirnov, Vladimir Smirnov
https://arxiv.org/abs/2510.10748 https://arxiv.org/pdf/2510.10748…

Two decades of algorithmic Feynman integral reduction
We present a historiographical review of algorithms and computer codes developed for solving integration-by-parts relations for Feynman integrals. This procedure is one of the key steps in the evaluation of Feynman integrals, since it enables to express integrals belonging to a given family as linear combinations of master integrals. In this review, we restrict ourselves to considering general algorithms which can, in principle, be applied to any family of Feynman integrals.

Sketch Animation: State-of-the-art Report
Gaurav Rai, Ojaswa Sharma
https://arxiv.org/abs/2510.10218 https://arxiv.org/pdf/2510.10218

Sketch Animation: State-of-the-art Report
Sketch animation has emerged as a transformative technology, bridging art and science to create dynamic visual narratives across various fields such as entertainment, education, healthcare, and virtual reality. This survey explores recent trends and innovations in sketch animation, with a focus on methods that have advanced the state of the art. The paper categorizes and evaluates key methodologies, including keyframe interpolation, physics-based animation, data-driven, motion capture, and deep…

KG-MAS: Knowledge Graph-Enhanced Multi-Agent Infrastructure for coupling physical and digital robotic environments
Walid Abdela
https://arxiv.org/abs/2510.10325 https://

KG-MAS: Knowledge Graph-Enhanced Multi-Agent Infrastructure for coupling physical and digital robotic environments
The seamless integration of physical and digital environments in Cyber-Physical Systems(CPS), particularly within Industry 4.0, presents significant challenges stemming from system heterogeneity and complexity. Traditional approaches often rely on rigid, data-centric solutions like co-simulation frameworks or brittle point-to-point middleware bridges, which lack the semantic richness and flexibility required for intelligent, autonomous coordination. This report introduces the Knowledge Graph-En…

[2025-10-14 Tue (UTC), 6 new articles found for math.RA Rings and Algebras]
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Mapping the Urban Mobility Intelligence Frontier: A Scientometric Analysis of Data-Driven Pedestrian Trajectory Prediction and Simulation
Junhao Xu, Hui Zeng
https://arxiv.org/abs/2510.10327

Mapping the Urban Mobility Intelligence Frontier: A Scientometric Analysis of Data-Driven Pedestrian Trajectory Prediction and Simulation
Understanding and predicting pedestrian dynamics has become essential for shaping safer, more responsive, and human-centered urban environments. This study conducts a comprehensive scientometric analysis of research on data-driven pedestrian trajectory prediction and crowd simulation, mapping its intellectual evolution and interdisciplinary structure. Using bibliometric data from the Web of Science Core Collection, we employ SciExplorer and Bibliometrix to identify major trends, influential con…

Data Integration Using Multivariate Mode Decomposition for Physiological Sensing with Multiple Millimeter-Wave Radar Systems
Kimitaka Sumi, Takuya Sakamoto
https://arxiv.org/abs/2510.10542

Data Integration Using Multivariate Mode Decomposition for Physiological Sensing with Multiple Millimeter-Wave Radar Systems
This study proposes a multi-radar system for non-contact physiological sensing across arbitrary body orientations. In integrating signals obtained from different radar viewpoints, we adopt a multivariate variational mode decomposition method to extract the common respiratory component. Experiments conducted with six subjects under varying distances and orientations demonstrate that, compared with a single-radar setup, the proposed system reduced the root mean square error of the respiratory int…

AdS$_3$ Freelance Holography, A Detailed Analysis
M. M. Sheikh-Jabbari, V. Taghiloo
https://arxiv.org/abs/2510.10692 https://arxiv.org/pdf/2510.10692

AdS$_3$ Freelance Holography, A Detailed Analysis
Freelance holography program is an extension of the gauge/gravity correspondence in which the boundary theory can reside on any timelike codimension-one surface in AdS space, and the boundary conditions on the bulk fields can be chosen arbitrarily. Freelance holography provides the framework for a systematic study of various boundary conditions and associated bulk geometries. In this work, we analyze in detail the AdS$_3$ freelance holography. One can explicitly solve for the bulk AdS$_3$ Einst…

CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
Zhigang Cheng, Mingchao Sun, Yu Liu, Zengye Ge, Luyang Tang, Mu Xu, Yangyan Li, Peng Pan
https://arxiv.org/abs/2510.09997

CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
Level of Detail (LoD) is a fundamental technique in real-time computer graphics for managing the rendering costs of complex scenes while preserving visual fidelity. Traditionally, LoD is implemented using discrete levels (DLoD), where multiple, distinct versions of a model are swapped out at different distances. This long-standing paradigm, however, suffers from two major drawbacks: it requires significant storage for multiple model copies and causes jarring visual ``popping" artifacts during t…

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
Shahbaz P Qadri Syed, He Bai
https://arxiv.org/abs/2510.09937 https://

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
The empirical success of multi-agent reinforcement learning (MARL) has motivated the search for more efficient and scalable algorithms for large scale multi-agent systems. However, existing state-of-the-art algorithms do not fully exploit inter-agent coupling information to develop MARL algorithms. In this paper, we propose a systematic approach to leverage structures in the inter-agent couplings for efficient model-free reinforcement learning. We model the cooperative MARL problem via a Bayesi…

Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web
Nicolas Steinacker-Olsztyn, Devashish Gosain, Ha Dao
https://arxiv.org/abs/2510.10315 https://

Is Misinformation More Open? A Study of robots.txt Gatekeeping on the Web
Large Language Models (LLMs) are increasingly relying on web crawling to stay up to date and accurately answer user queries. These crawlers are expected to honor robots.txt files, which govern automated access. In this study, for the first time, we investigate whether reputable news websites and misinformation sites differ in how they configure these files, particularly in relation to AI crawlers. Analyzing a curated dataset, we find a stark contrast: 60.0% of reputable sites disallow at least …

Integrability in Three-Dimensional Gravity: Eigenfunction-Forced KdV Flows
Hamed Adami, Anousheh Latifi
https://arxiv.org/abs/2510.10519 https://arxiv.org/…

Integrability in Three-Dimensional Gravity: Eigenfunction-Forced KdV Flows
We uncover a direct connection between three-dimensional gravity with chiral boundary conditions and a class of forced integrable systems. Starting from the Chern-Simons formulation, we derive consistent boundary conditions on a non-compact spatial slice, leading to boundary dynamics described by the potential modified KdV hierarchy. The dynamics reduce to a forced KdV equation, where the forcing term is determined self-consistently by the eigenfunctions of the associated Schrödinger operator.…

[2025-10-14 Tue (UTC), 8 new articles found for cs.GR Graphics]
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A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
R. W. S. Pessoa, M. H. N{\ae}ss, J. C. Bijos, C. M. Rebello, D. Colombo, L. Schnitman, I. B. R. Nogueira
https://arxiv.org/abs/2510.09688

A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
This paper presents a hybrid approach to predict the evolution of technological maturity in R and D projects, using the oil and gas sector as an example. Integrating System Dynamics (SD) and Agent Based Modelling (ABM) allows the proposed multi level framework to capture uncertainties in work effort, team size, and project duration, which influence technological progress. While AB SD hybrid models are established in other fields, their use in R and D remains limited. The model combines system l…

The Mechanical Yes-Man: Emancipatory AI Pedagogy in Higher Education
Linda Rocco
https://arxiv.org/abs/2510.10176 https://arxiv.org/pdf/2510.10176

The Mechanical Yes-Man: Emancipatory AI Pedagogy in Higher Education
The proliferation of Large Language Models in higher education presents a fundamental challenge to traditional pedagogical frameworks. Drawing on Jacques Rancière's theory of intellectual emancipation, this paper examines how generative AI risks becoming a "mechanical yes-man" that reinforces passivity rather than fostering intellectual autonomy. Generative AI's statistical logic and lack of causal reasoning, combined with frictionless information access, threatens to hollow out cognitive proc…

Metallic transports from Taub-NUT AdS black holes
Mohd Aariyan Khan, Hemant Rathi, Dibakar Roychowdhury
https://arxiv.org/abs/2510.10445 https://arxiv.org/…

Metallic transports from Taub-NUT AdS black holes
We compute holographic DC conductivity associated with the Taub-NUT-$AdS_4$ black holes following the probe D-brane approach. In particular, we examine the effects of frame dragging on charge transport in both low and high temperature regimes. Our analysis reveals that in the low temperature regime, the conductivity is sensitive to the presence of the Misner string that causes frame dragging. Notably, the increase in the conductivity near the Misner string is sharper as compared to points farth…

[2025-10-14 Tue (UTC), 9 new articles found for cs.MA Multiagent Systems]
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Farewell to Westphalia: Crypto Sovereignty and Post-Nation-State Governaance
Jarrad Hope, Peter Ludlow
https://arxiv.org/abs/2510.09840 https://arxiv.org/p…

Farewell to Westphalia: Crypto Sovereignty and Post-Nation-State Governaance
We argue that the principal application for blockchain technology will not be in the financial sector, but rather in maintaining decentralized human governance, from archives to transparent policies encoded in the blockchain in the form of smart contracts.. Such decentralized, blockchain-grounded governance comes not a moment too soon, as nation states are dissolving before our eyes. Will blockchain-based communities replace the nation state? What are the prospects and dangers of this developme…

B-RNS-GSS formalism and $L_{\infty}$-actions
Andrei Mikhailov
https://arxiv.org/abs/2510.10400 https://arxiv.org/pdf/2510.10400

B-RNS-GSS formalism and $L_{\infty}$-actions
Pure spinor formalism and RNS formalism are related by a chain of equivalences constructed by introducing and integrating-out BRST quartets. This is known as B-RNS-GSS formalism. One of the steps can be understood as adding auxiliary fields to lift a strong homotopy action of the SUSY Lie superalgebra in the large Hilbert space to a strict action. We develop a general prescription for this ``strictification'' procedure, which can be applied for any strong homotopy action of a Lie superalgebra. …

Norwegian Electricity in Geographic Dataset (NoreGeo)
Shiliang Zhang, Sabita Maharjan, Kai Strunz, Jan Christian Bryne
https://arxiv.org/abs/2510.09698 https://

Norwegian Electricity in Geographic Dataset (NoreGeo)
Geographic data is vital in understanding, analyzing, and contextualizing energy usage at the regional level within electricity systems. While geospatial visualizations of electricity infrastructure and distributions of production and consumption are available from governmental and third-party sources, these sources are often disparate, and compatible geographic datasets remain scarce. In this paper, we present a comprehensive geographic dataset representing the electricity system in Norway. We…

Newtonian potential from scattering amplitudes in super-renormalizable gravity
Haiyuan Feng, Rong-Jia Yang
https://arxiv.org/abs/2510.10270 https://arxiv.o…

Newtonian potential from scattering amplitudes in super-renormalizable gravity
Using scattering amplitudes, we compute the coupling between a general super-renormalizable gravity theory and massive scalar particles. This allows us to derive the $D$-dimensional Newtonian potential at both tree-level and one-loop level-the latter containing the first calculation by using newly derived three-graviton Feynman rules. In four-dimensional spacetime, we numerically demonstrate that the Newtonian potential remains finite at the origin, providing compelling evidence that the singul…

Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
Jianghao Lin, Rong Shan, Jiachen Zhu, Yunjia Xi, Yong Yu, Weinan Zhang
https://arxiv.org/abs/2510.09686

Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
Survey papers are foundational to the scholarly progress of research communities, offering structured overviews that guide both novices and experts across disciplines. However, the recent surge of AI-generated surveys, especially enabled by large language models (LLMs), has transformed this traditionally labor-intensive genre into a low-effort, high-volume output. While such automation lowers entry barriers, it also introduces a critical threat: the phenomenon we term the "survey paper DDoS att…

On thermal holographic RG flows
Elena C\'aceres, Hare Krishna
https://arxiv.org/abs/2510.09955 https://arxiv.org/pdf/2510.09955

On thermal holographic RG flows
Holographic Renormalization Group (RG) flows, described by Einstein gravity coupled to matter fields, have been thoroughly explored in the context of vacuum states. In this work, we shift the focus to thermal states. Using the Hamilton-Jacobi formalism for the coupled system, we derive the Ward identity associated with broken dilatation symmetry in thermal correlators and obtain the modified Callan-Symanzik equation for the dual thermal CFT. We then employ the Hamiltonian approach to analyze th…

Leveraging LLMs to Streamline the Review of Public Funding Applications
Joao D. S. Marques, Andre V. Duarte, Andre Carvalho, Gil Rocha, Bruno Martins, Arlindo L. Oliveira
https://arxiv.org/abs/2510.09674

Leveraging LLMs to Streamline the Review of Public Funding Applications
Every year, the European Union and its member states allocate millions of euros to fund various development initiatives. However, the increasing number of applications received for these programs often creates significant bottlenecks in evaluation processes, due to limited human capacity. In this work, we detail the real-world deployment of AI-assisted evaluation within the pipeline of two government initiatives: (i) corporate applications aimed at international business expansion, and (ii) cit…

Analytic results in conformal field theory
Philine van Vliet, Emilio Trevisani, Ingo Runkel, Bernardo Zan, Yifei He, Xin Sun, Volker Schomerus
https://arxiv.org/abs/2510.09868 h…

Analytic results in conformal field theory
Since the 1980s, many exact results have been discovered in $2d$ CFT, from critical exponents to correlation functions to complete solutions of certain models. In $d>2$, there is a wealth of numerical results as well as promising analytic approaches, but comparably fewer exact answers. The aim of this conference was to review the most promising analytic methods and results in CFT in any dimension. In particular we tried to understand to which extent the $2d$ methods can be extended to $d>2$, …

Bias-Aware AI Chatbot for Engineering Advising at the University of Maryland A. James Clark School of Engineering
Prarthana P. Kartholy, Thandi M. Labor, Neil N. Panchal, Sean H. Wang, Hillary N. Owusu
https://arxiv.org/abs/2510.09636

Bias-Aware AI Chatbot for Engineering Advising at the University of Maryland A. James Clark School of Engineering
Selecting a college major is a difficult decision for many incoming freshmen. Traditional academic advising is often hindered by long wait times, intimidating environments, and limited personalization. AI Chatbots present an opportunity to address these challenges. However, AI systems also have the potential to generate biased responses, prejudices related to race, gender, socioeconomic status, and disability. These biases risk turning away potential students and undermining reliability of AI s…

Baryons, skyrmions and $\theta$-periodicity anomaly in chiral and vector-like gauge theories
Stefano Bolognesi, Andrea Luzio, Giacomo Santoni
https://arxiv.org/abs/2510.09866 ht…

Baryons, skyrmions and $θ$-periodicity anomaly in chiral and vector-like gauge theories
In this paper, we study the solitons of chiral gauge theories and vector-like $SU(N)$ gauge theories with matter in mixed one and two-index representations. Focusing on the Color-flavor locked (CFL) phase, we compute the topology of the coset. In the Bars-Yanckielowicz (BY) models, where the selection rules arising from the unbroken symmetry group allow for the decay of any heavy baryon, we find that Skyrmions are absent. Skyrmions are absent also in the Georgi-Glashow (GG) models, where the se…

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Anastasija Nikiforova, Martin Lnenicka, Ulf Melin, David Valle-Cruz, Asif Gill, Cesar Casiano Flores, Emyana Sirait, Mariusz Luterek, Richard Michael Dreyling, Barbora Tesarova
https://arxiv.org/abs/2510.09634

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Despite Artificial Intelligence (AI) transformative potential for public sector services, decision-making, and administrative efficiency, adoption remains uneven due to complex technical, organizational, and institutional challenges. Responsible AI frameworks emphasize fairness, accountability, and transparency, aligning with principles of trustworthy AI and fair AI, yet remain largely aspirational, overlooking technical and institutional realities, especially foundational data and governance. …

Exact BPS double-kinks in generalized $\phi^4$, $\phi^6$ and sine-Gordon models
R. Casana, E. da Hora, F. C. Simas
https://arxiv.org/abs/2510.09856 https://

Exact BPS double-kinks in generalized $ϕ^4$, $ϕ^6$ and sine-Gordon models
We consider a $(1+1)$-dimensional theory with a single real scalar field $ϕ$ whose kinematics is modified by a generalizing function $f(ϕ)$. After briefly reviewing its Bogomol'nyi-Prasad-Sommerfield (BPS) structure, we focus on a particular $f(ϕ)$ to obtain analytic BPS double-kink solutions in three different models governed by the $ϕ^4$, $ϕ^6$, and sine-Gordon superpotentials. In all cases, the resulting double-kinks approach the boundaries by following an exponential decay, with the ge…

[2025-10-14 Tue (UTC), 16 new articles found for cs.CY Computers and Society]
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