Tootfinder

Elite Polarization in European Parliamentary Speeches: a Novel Measurement Approach Using Large Language Models
Gennadii Iakovlev
https://arxiv.org/abs/2507.06658

Elite Polarization in European Parliamentary Speeches: a Novel Measurement Approach Using Large Language Models
This project introduces a new measure of elite polarization via actor and subject detection using artificial intelligence. I identify when politicians mention one another in parliamentary speeches, note who is speaking and who is being addressed, and assess the emotional temperature behind these evaluations. This maps how elites evaluate their various out-parties, allowing us to create an index of mutual out-party hostility, that is, elite polarization. While I analyzed polarization data over t…

Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset
Ruofei Wang, Peiqi Duan, Boxin Shi, Renjie Wan
https://arxiv.org/abs/2507.05728 ht…

Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset
With more event datasets being released online, safeguarding the event dataset against unauthorized usage has become a serious concern for data owners. Unlearnable Examples are proposed to prevent the unauthorized exploitation of image datasets. However, it's unclear how to create unlearnable asynchronous event streams to prevent event misuse. In this work, we propose the first unlearnable event stream generation method to prevent unauthorized training from event datasets. A new form of asynchr…

Conservative approximation-based feedforward neural network for WENO schemes
Kwanghyuk Park, Jiaxi Gu, Jae-Hun Jung
https://arxiv.org/abs/2507.06190 https:…

Conservative approximation-based feedforward neural network for WENO schemes
In this work, we present the feedforward neural network based on the conservative approximation to the derivative from point values, for the weighted essentially non-oscillatory (WENO) schemes in solving hyperbolic conservation laws. The feedforward neural network, whose inputs are point values from the three-point stencil and outputs are two nonlinear weights, takes the place of the classical WENO weighting procedure. For the training phase, we employ the supervised learning and create a new l…

GoldMind: A Teacher-Centered Knowledge Management System for Higher Education -- Lessons from Iterative Design
Gloria Fern\'andez-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Gas\v{e}vi\'c, Zachari Swiecki
https://arxiv.org/abs/2508.0…

GoldMind: A Teacher-Centered Knowledge Management System for Higher Education -- Lessons from Iterative Design
Designing Knowledge Management Systems (KMSs) for higher education requires addressing complex human-technology interactions, especially where staff turnover and changing roles create ongoing challenges for reusing knowledge. While advances in process mining and Generative AI enable new ways of designing features to support knowledge management, existing KMSs often overlook the realities of educators' workflows, leading to low adoption and limited impact. This paper presents findings from a two…

Meta-Diastereomers Hierarchical Multiscale Chiral Interactions Between Biomolecules and Nanoscale Enantiomers
Dominic J. P. Koyroytsaltis-McQuire, Rahul Kumar, Shailendra K. Chaubey, Tamas Javorfi, Giuliano Siligardi, Affar Karimullah Adrian J. Lapthorn, Nikolaj Gadegaard, Malcolm Kadodwala
https://arxiv.org/abs/2508.05219

Meta-Diastereomers Hierarchical Multiscale Chiral Interactions Between Biomolecules and Nanoscale Enantiomers
We introduce meta-diastereomers, hybrid systems where molecular chirality ($\leq 10$\,nm) and nanoscale chirality ($>100$\,nm) combine to create a new hierarchical chiral state with emergent optical properties. By coupling chiral biomolecules electrostatically with enantiomeric silicon nanostructures, we demonstrate how distinct chiral systems can interact to produce optical responses -- linear and circular dichroism -- that reflect the combined chirality of both components. This unique interpl…

Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusion
Zeren Xiong, Zikun Chen, Zedong Zhang, Xiang Li, Ying Tai, Jian Yang, Jun Li
https://arxiv.org/abs/2509.02357

Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusion
In this paper, we tackle a new task of 3D object synthesis, where a 3D model is composited with another object category to create a novel 3D model. However, most existing text/image/3D-to-3D methods struggle to effectively integrate multiple content sources, often resulting in inconsistent textures and inaccurate shapes. To overcome these challenges, we propose a straightforward yet powerful approach, category+3D-to-3D (C33D), for generating novel and structurally coherent 3D models. Our method…

Generation and manipulation of photon number wave packets in photonic cavities
Luca Nimmesgern, Moritz Cygorek, Doris E. Reiter, Vollrath Martin Axt
https://arxiv.org/abs/2509.03083

Generation and manipulation of photon number wave packets in photonic cavities
Quantum emitters inside optical cavities can create not only fixed photon number states but also photon number wave packets, which are states with a finite photon number distribution that oscillates in time. These states emerge when the emitter is driven by an external field while coupled to the cavity. We show that by rapidly changing the driving strength, new wave packets can be generated, allowing multiple packets to coexist and evolve independently. We classify the resulting wave packet beh…

Efficient Direct-Access Ranked Retrieval
Mohsen Dehghankar, Raghav Mittal, Suraj Shetiya, Abolfazl Asudeh, Gautam Das
https://arxiv.org/abs/2508.01108 https://

Efficient Direct-Access Ranked Retrieval
We study the problem of Direct-Access Ranked Retrieval (DAR) for interactive data tooling, where evolving data exploration practices, combined with large-scale and high-dimensional datasets, create new challenges. DAR concerns the problem of enabling efficient access to arbitrary rank positions according to a ranking function, without enumerating all preceding tuples. To address this need, we formalize the DAR problem and propose a theoretically efficient algorithm based on geometric arrangemen…

Nicknames for Group Signatures
Guillaume Quispe, Pierre Jouvelot, Gerard Memmi
https://arxiv.org/abs/2508.02543 https://arxiv.org/pdf/2508.02543

Nicknames for Group Signatures
Nicknames for Group Signatures (NGS) is a new signature scheme that extends Group Signatures (GS) with Signatures with Flexible Public Keys (SFPK). Via GS, each member of a group can sign messages on behalf of the group without revealing his identity, except to a designated auditor. Via SFPK, anyone can create new identities for a particular user, enabling anonymous transfers with only the intended recipient able to trace these new identities. To prevent the potential abuses that this anonymi…

Stop Lying to Me: New Visual Tools to Choose the Most Honest Nonlinear Dimension Reduction
Jayani P. Gamage, Dianne Cook, Paul Harrison, Michael Lydeamore
https://arxiv.org/abs/2506.22051

Stop Lying to Me: New Visual Tools to Choose the Most Honest Nonlinear Dimension Reduction
Nonlinear dimension reduction (NLDR) techniques such as tSNE, and UMAP provide a low-dimensional representation of high-dimensional data (\pD{}) by applying a nonlinear transformation. NLDR often exaggerates random patterns. But NLDR views have an important role in data analysis because, if done well, they provide a concise visual (and conceptual) summary of \pD{} distributions. The NLDR methods and hyper-parameter choices can create wildly different representations, making it difficult to deci…

Chemodynamics of Bo\"otesI with $S^{5}$: Revised Velocity Gradient, Dark Matter Density, and Galactic Chemical Evolution Constraints
Nathan R. Sandford, Ting S. Li, Sergey E. Koposov, Kohei Hayashi, Andrew B. Pace, Denis Erkal, Jo Bovy, Gary S. Da Costa, Lara R. Cullinane, Alexander P. Ji, Kyler Kuehn, Daniel B. Zucker, Guilherme Limberg, Gustavo E. Medina, Joshua D. Simon, Yong Yang, S5 Collaboration

Chemodynamics of BoötesI with $S^{5}$: Revised Velocity Gradient, Dark Matter Density, and Galactic Chemical Evolution Constraints
We combine new spectroscopic observations of the ultra faint dwarf galaxy (UFD) Boötes I (Boo I) from the Southern Stellar Stream Spectroscopic Survey ($S^{5}$) with $\sim$15 years of archival spectroscopic data to create the largest sample of stellar kinematics and metallicities to date in any Milky Way UFD. Our combined sample includes 148 members extending out to $\sim$7 half-light radii ($r_h$), including 24 newly confirmed members, 18 binary candidates, 15 RR Lyrae stars, and 92 [Fe/H] me…

GenCompositor: Generative Video Compositing with Diffusion Transformer
Shuzhou Yang, Xiaoyu Li, Xiaodong Cun, Guangzhi Wang, Lingen Li, Ying Shan, Jian Zhang
https://arxiv.org/abs/2509.02460

GenCompositor: Generative Video Compositing with Diffusion Transformer
Video compositing combines live-action footage to create video production, serving as a crucial technique in video creation and film production. Traditional pipelines require intensive labor efforts and expert collaboration, resulting in lengthy production cycles and high manpower costs. To address this issue, we automate this process with generative models, called generative video compositing. This new task strives to adaptively inject identity and motion information of foreground video to the…

Robot Excavation and Manipulation of Geometrically Cohesive Granular Media
Laura Treers, Daniel Soto, Joonha Hwang, Michael A. D. Goodisman, Daniel I. Goldman
https://arxiv.org/abs/2507.19999

Robot Excavation and Manipulation of Geometrically Cohesive Granular Media
Construction throughout history typically assumes that its blueprints and building blocks are pre-determined. However, recent work suggests that alternative approaches can enable new paradigms for structure formation. Aleatory architectures, or those which rely on the properties of their granular building blocks rather than pre-planned design or computation, have thus far relied on human intervention for their creation. We imagine that robotic swarms could be valuable to create such aleatory st…

Movable Antennas-aided Wireless Energy Transfer for the Internet of Things
Osmel Mart\'inez Rosabal, Onel Alcaraz L\'opez, Marco Di Renzo, Richard Demo Souza, Hirley Alves
https://arxiv.org/abs/2506.21966

Movable Antennas-aided Wireless Energy Transfer for the Internet of Things
Recent advancements in movable antennas (MAs) technology create new opportunities for 6G and beyond wireless systems. MAs are promising for radio frequency wireless energy transfer because they can dynamically adjust antenna positions, improving energy efficiency and scalability. This work aims to minimize the power consumed by an analog beamforming power beacon equipped with independently-controlled MAs (IMAs) for charging multiple single-antenna devices. To this end, we enforce a minimum sepa…

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications
Jindong Han, Yansong Ning, Zirui Yuan, Hang Ni, Fan Liu, Tengfei Lyu, Hao Liu
https://arxiv.org/abs/2507.00914

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications
The long-standing vision of intelligent cities is to create efficient, livable, and sustainable urban environments using big data and artificial intelligence technologies. Recently, the advent of Large Language Models (LLMs) has opened new ways toward realizing this vision. With powerful semantic understanding and reasoning capabilities, LLMs can be deployed as intelligent agents capable of autonomously solving complex problems across domains. In this article, we focus on Urban LLM Agents, whic…

Indefinite causal order in cavity quantum electrodynamics
Lorenzo M. Procopio, L. O. Casta\~nos-Cervantes, Tim J. Bartley
https://arxiv.org/abs/2509.02209 https://

Indefinite causal order in cavity quantum electrodynamics
Indefinite causal order (ICO) has the potential to be a new resource for quantum information processing. In most of its experiments, ICO has been investigated in a photonic platform. Here we investigate ICO in a cavity quantum electrodynamics (cQED) system composed of two cavities. Our results show that ICO can create entanglement between two distant cavity fields that never interact directly, and for the case of two cavity fields in the vacuum state, ICO presents an advantage over the fixed-or…

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
Miha O\v{z}bot, Igor \v{S}krjanc
https://arxiv.org/abs/2508.15444 https://

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
In this paper, we propose a new measure for detecting overlap in multivariate Gaussian clusters. The aim of online learning from data streams is to create clustering, classification, or regression models that can adapt over time based on the conceptual drift of streaming data. In the case of clustering, this can result in a large number of clusters that may overlap and should be merged. Commonly used distribution dissimilarity measures are not adequate for determining overlapping clusters in th…

Confining kinks. $\zeta$-regularized one-loop kink mass shifts in exotic field theories
Luis Inzunza, Juan Mateos Guilarte, Pablo Pais
https://arxiv.org/abs/2506.20440

Confining kinks. $ζ$-regularized one-loop kink mass shifts in exotic field theories
By combining stability analysis of scalar field theories with the Darboux transformation technique, we create models featuring kink-like solutions whose quantum perturbations are all bounded. On the one hand, the stability analysis relates scalar theories with Schrödinger equations, whose solutions serve as quantum perturbation modes. On the other hand, the Darboux transformation allows for constructing new exotic but solvable Schrödinger equations. This framework relates the quantum harmonic…

Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
Chang Liu, Yixin Wang, Moontae Lee
https://arxiv.org/abs/2506.21362

Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
Efficient access to high-quality information is vital for online platforms. To promote more useful information, users not only create new content but also evaluate existing content, often through helpfulness voting. Although aggregated votes help service providers rank their user content, these votes are often biased by disparate accessibility per position and the cascaded influence of prior votes. For a fairer assessment of information quality, we propose the Counterfactual Voting Adjustment (…

Evaluating the Use of LLMs for Documentation to Code Traceability
Ebube Alor, SayedHassan Khatoonabadi, Emad Shihab
https://arxiv.org/abs/2506.16440 https:…

Evaluating the Use of LLMs for Documentation to Code Traceability
Large Language Models (LLMs) offer new potential for automating documentation-to-code traceability, yet their capabilities remain underexplored. We present a comprehensive evaluation of LLMs (Claude 3.5 Sonnet, GPT-4o, and o3-mini) in establishing trace links between various software documentation (including API references and user guides) and source code. We create two novel datasets from two open-source projects (Unity Catalog and Crawl4AI). Through systematic experiments, we assess three key…

Low-Energy Supernova Constraints on Lepton Flavor Violating Axions
Zi-Miao Huang, Zuowei Liu
https://arxiv.org/abs/2506.16922 https://

Low-Energy Supernova Constraints on Lepton Flavor Violating Axions
The extreme conditions within the supernova core, a high-temperature and high-density environment, create an ideal laboratory for the search for new physics beyond the Standard Model. Of particular interest are low-energy supernovae, characterized by their low explosion energies, which place strong constraints on the new-physics energy transfer from the core to the mantle. We compute low-energy supernova constraints on lepton-flavor-violating axions and axion-like particles that couple to both …

Exploring Student-AI Interactions in Vibe Coding
Francis Geng, Anshul Shah, Haolin Li, Nawab Mulla, Steven Swanson, Gerald Soosai Raj, Daniel Zingaro, Leo Porter
https://arxiv.org/abs/2507.22614

Exploring Student-AI Interactions in Vibe Coding
Background and Context. Chat-based and inline-coding-based GenAI has already had substantial impact on the CS Education community. The recent introduction of ``vibe coding'' may further transform how students program, as it introduces a new way for students to create software projects with minimal oversight. Objectives. The purpose of this study is to understand how students in introductory programming and advanced software engineering classes interact with a vibe coding platform (Replit) whe…

Maneuvering-based Dynamic Thrust Allocation for Fully-Actuated Vessels
Emir Cem Gezer, Roger Skjetne
https://arxiv.org/abs/2507.18309 https://arxiv.org/pdf…

Maneuvering-based Dynamic Thrust Allocation for Fully-Actuated Vessels
This paper introduces a new approach to solving the thrust allocation problem using the maneuvering problem in the maritime domain for fully actuated vessels. The method uses a control Lyapunov function to create a nonlinear reference filter for the thruster forces. The filter ensures dynamic tracking of the optimal thrust allocation solution with rate limitation in the output thruster references. It further uses control barrier functions to ensure that the thruster force saturation limits are …

Integer continued fractions for complex numbers
Cormac O'Sullivan
https://arxiv.org/abs/2508.15078 https://arxiv.org/pdf/2508.15078

Integer continued fractions for complex numbers
We study a natural extension to complex numbers of the standard continued fractions. The basic algorithm is due to Lagrange and Gauss, though it seems to have gone mostly unnoticed as a way to create continued fractions. The new representations are shown to be unique, and to have useful properties. They also admit a geometric cutting sequence interpretation.

Phonon-polariton mediated dual electromagnetically induced transparency-like response in a THz metamaterial
Amit Haldar, Kshitij V Goyal, Ruturaj V Puranik, Vivek Dwij, Srijan Maity, Kanha Ram Khator, Subhashis Ghosh, Bhagwat S. Chouhan, Gagan Kumar, Satyaprasad P. Senanayak, Shriganesh Prabhu, Shovon Pal
https://arxiv.org/abs/2509.02151…

Phonon-polariton mediated dual electromagnetically induced transparency-like response in a THz metamaterial
Light and matter can intertwine to create entirely new quantum states in the so-called strong-coupling regime, allowing unprecedented control over electromagnetic waves. In this work, strong-coupling mediated polaritonic states are exploited to demonstrate tunable dual electromagnetically induced transparency (EIT) like response in the terahertz (THz) frequency range using a micron-sized metamaterial system coupled with the phonon mode of a lead halide perovskite film. This architecture allows …

skLEP: A Slovak General Language Understanding Benchmark
Marek \v{S}uppa, Andrej Ridzik, Daniel Hl\'adek, Tom\'a\v{s} Jav\r{u}rek, Vikt\'oria Ondrejov\'a, Krist\'ina S\'asikov\'a, Martin Tamajka, Mari\'an \v{S}imko
https://arxiv.org/abs/2506.21508

skLEP: A Slovak General Language Understanding Benchmark
In this work, we introduce skLEP, the first comprehensive benchmark specifically designed for evaluating Slovak natural language understanding (NLU) models. We have compiled skLEP to encompass nine diverse tasks that span token-level, sentence-pair, and document-level challenges, thereby offering a thorough assessment of model capabilities. To create this benchmark, we curated new, original datasets tailored for Slovak and meticulously translated established English NLU resources. Within this p…

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
Marcelle Momha
https://arxiv.org/abs/2506.13818 https://arxiv.org/pdf…

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
Synthetic data, which is artificially generated and intelligently mimicking or supplementing the real-world data, is increasingly used. The proliferation of AI agents and the adoption of synthetic data create a synthetic mirror that conceptualizes a representation and potential distortion of reality, thus generating trust and accountability deficits. This paper explores the implications for privacy and policymaking stemming from synthetic data generation, and the urgent need for new policy inst…

New Twists on Topological Quantum Error Correcting Codes
Mohamad Mousa, Amit Jamadagni, Eugene Dumitrescu
https://arxiv.org/abs/2508.19245 https://arxiv.or…

New Twists on Topological Quantum Error Correcting Codes
We derive a new family of quantum error-correcting codes. The main technical tool used to do so is the physically intuitive concept of condensation, which is employed to create new domain walls between the quantum double of $\Z_4$ and an instance of the doubled semion phase. Specifically, we provide explicit constructions, first at the lattice-level and then subsequently at the macroscopic logical-level. To provide intuition, we provide a series of explicit examples using the derived topologica…

Anomalous narrow-band correlation in a natural superconducting heterostructure
Xiupeng Sun, Zhiyuan Wei, Min Shan, Shuting Peng, Yang Luo, Jianchang Shen, Linwei Huai, Yu Miao, Zhipeng Ou, Mehmet Onbasli, Zhenyu Wang, Tao Wu, Junfeng He, Xianhui Chen
https://arxiv.org/abs/2508.18099

Anomalous narrow-band correlation in a natural superconducting heterostructure
A new frontier in condensed matter physics is to stack atomically thin layered-materials with different properties and create intriguing phenomena which do not exist in any of the constituent layers. Transition metal dichalcogenide 4Hb-TaS$_2$, with an alternating stacking of a spin liquid candidate 1T-TaS$_2$ and a superconductor 1H-TaS$_2$, is a natural heterostructure for such a purpose. Recently, rare phenomena are indeed observed, including chiral superconductivity, two-component nematic s…

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
Yiting Qu, Ziqing Yang, Yihan Ma, Michael Backes, Savvas Zannettou, Yang Zhang
https://arxiv.org/abs/2507.22617

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
Recent advances in text-to-image diffusion models have enabled the creation of a new form of digital art: optical illusions--visual tricks that create different perceptions of reality. However, adversaries may misuse such techniques to generate hateful illusions, which embed specific hate messages into harmless scenes and disseminate them across web communities. In this work, we take the first step toward investigating the risks of scalable hateful illusion generation and the potential for bypa…

International Trade and Intellectual Property
Gaetan de Rassenfosse
https://arxiv.org/abs/2506.18929 https://arxiv.org/pdf/2506.18929…

International Trade and Intellectual Property
Intellectual property (IP) rules have the potential to shape cross-border trade far more than their legalistic origins might suggest. Drawing on three decades of evidence, this review shows that stronger IP rights simultaneously create market-power forces that raise prices and market-expansion forces that broaden demand, while dynamic incentives spur quality upgrading and new export varieties. Micro-data and quasi-natural experiments after TRIPS reveal that IP most often boosts trade along the …

Supporting Intel(r) SGX on Multi-Package Platforms
Simon Johnson, Raghunandan Makaram, Amy Santoni, Vinnie Scarlata
https://arxiv.org/abs/2507.08190 https:…

Supporting Intel(r) SGX on Multi-Package Platforms
Intel(r) Software Guard Extensions (SGX) was originally released on client platforms and later extended to single socket server platforms. As developers have become familiar with the capabilities of the technology, the applicability of this capability in the cloud has been tested. Various Cloud Service Providers (CSPs) are demonstrating the value of using SGX based Trusted Execution Environments (TEE) to create a new paradigm of Confidential Cloud Computing. This paper describes the additional …

Some optimization possibilities in data plane programming
Altangerel Gereltsetseg, Tejfel M\'at\'e
https://arxiv.org/abs/2508.12767 https://arxiv.o…

Some optimization possibilities in data plane programming
Software-defined networking (SDN) technology aims to create a highly flexible network by decoupling control plane and the data plane and programming them independently. There has been a lot of research on improving and optimizing the control plane, and data plane programming is a relatively new concept, so study on it is one of the hot topics for researchers. At the 2019 Dagstuhl Seminar, well-known scientists on computer networking discussed challenges and problems in the field of data plane p…

How Usable is Automated Feature Engineering for Tabular Data?
Bastian Sch\"afer, Lennart Purucker, Maciej Janowski, Frank Hutter
https://arxiv.org/abs/2508.13932 https://…

How Usable is Automated Feature Engineering for Tabular Data?
Tabular data, consisting of rows and columns, is omnipresent across various machine learning applications. Each column represents a feature, and features can be combined or transformed to create new, more informative features. Such feature engineering is essential to achieve peak performance in machine learning. Since manual feature engineering is expensive and time-consuming, a substantial effort has been put into automating it. Yet, existing automated feature engineering (AutoFE) methods have…

Design of a Modular Mobile Inspection and Maintenance Robot for an Orbital Servicing Hub
Tianyuan Wang, Mark A Post, Mathieu Deremetz
https://arxiv.org/abs/2507.14059

Design of a Modular Mobile Inspection and Maintenance Robot for an Orbital Servicing Hub
The use of autonomous robots in space is an essential part of the "New Space" commercial ecosystem of assembly and re-use of space hardware components in Earth orbit and beyond. The STARFAB project aims to create a ground demonstration of an orbital automated warehouse as a hub for sustainable commercial operations and servicing. A critical part of this fully-autonomous robotic facility will be the capability to monitor, inspect, and assess the condition of both the components stored in the war…

Open Questions about Time and Self-reference in Living Systems
Samson Abramsky, Wolfgang Banzhaf, Leo S. D. Caves, Michael Levin, Penousal Machado, Charles Ofria, Susan Stepney, Roger White
https://arxiv.org/abs/2508.11423

Open Questions about Time and Self-reference in Living Systems
Living systems exhibit a range of fundamental characteristics: they are active, self-referential, self-modifying systems. This paper explores how these characteristics create challenges for conventional scientific approaches and why they require new theoretical and formal frameworks. We introduce a distinction between 'natural time', the continuing present of physical processes, and 'representational time', with its framework of past, present and future that emerges with life itself. Representa…

R\'ECITKIT: A Spatial Toolkit for Designing and Evaluating Human-Centered Immersive Data Narratives
Vidya Setlur, Samuel Ridet
https://arxiv.org/abs/2508.18670 https://

RÉCITKIT: A Spatial Toolkit for Designing and Evaluating Human-Centered Immersive Data Narratives
Spatial computing presents new opportunities for immersive data storytelling, yet there is limited guidance on how to build such experiences or adapt traditional narrative visualizations to this medium. We introduce a toolkit, RÉCITKIT for supporting spatial data narratives in head-mounted display (HMD) environments. The toolkit allows developers to create interactive dashboards, tag data attributes as spatial assets to 3D models and immersive scenes, generate text and audio narratives, enabli…

From Hyperons to Hypernuclei: A New Route to Unravel Proton Spin Polarization
Dai-Neng Liu, Yun-Peng Zhen, Wen-Hao Zhou, Jin-Hui Chen, Che Ming Ko, Yu-Gang Ma, Kai-Jia Sun, Song Zhang
https://arxiv.org/abs/2508.12193

From Hyperons to Hypernuclei: A New Route to Unravel Proton Spin Polarization
Ultra-relativistic nuclear collisions create the quark-gluon plasma (QGP) known as the hottest, least viscous, and most vortical fluid ever produced in terrestrial laboratories. Its vortical structure has been uncovered through the spin polarization of Lambda ($Λ$) hyperons, attributed to the spin-orbit coupling that transfers the system's orbital angular momentum to the quark spin, which is then inherited by hadrons via quark recombination or coalescence. However, $Λ$ polarization reflects p…

A real-time metric of online engagement monitoring
Laura J. Johnston, Jim E. Griffin, Ioanna Manolopoulou, Takoua Jendoubi
https://arxiv.org/abs/2507.12162

A real-time metric of online engagement monitoring
Measuring online behavioural student engagement often relies on simple count indicators or retrospective, predictive methods, which present challenges for real-time application. To address these limitations, we reconceptualise an existing course-wide engagement metric to create a chapter-based version that aligns with the weekly structure of online courses. Derived directly from virtual learning environment log data, the new metric allows for cumulative, real-time tracking of student activity w…

Political Leaning and Politicalness Classification of Texts
Matous Volf (DELTA High school of computer science and economics, Pardubice, Czechia), Jakub Simko (Kempelen Institute of Intelligent Technologies, Bratislava, Slovakia)
https://arxiv.org/abs/2507.13913

Political Leaning and Politicalness Classification of Texts
This paper addresses the challenge of automatically classifying text according to political leaning and politicalness using transformer models. We compose a comprehensive overview of existing datasets and models for these tasks, finding that current approaches create siloed solutions that perform poorly on out-of-distribution texts. To address this limitation, we compile a diverse dataset by combining 12 datasets for political leaning classification and creating a new dataset for politicalness …

"Whoever needs to see it, will see it": Motivations and Labor of Creating Algorithmic Conspirituality Content on TikTok
Ankolika De, Kelley Cotter, Shaheen Kanthawala, Haley McAtee, Amy Ritchart, Gahana Kadur
https://arxiv.org/abs/2506.16851

"Whoever needs to see it, will see it": Motivations and Labor of Creating Algorithmic Conspirituality Content on TikTok
Recent studies show that users often interpret social media algorithms as mystical or spiritual because of their unpredictability. This invites new questions about how such perceptions affect the content that creators create and the communities they form online. In this study, 14 creators of algorithmic conspirituality content on TikTok were interviewed to explore their interpretations and creation processes influenced by the platform's For You Page algorithm. We illustrate how creators' belief…

ISCA: A Framework for Interview-Style Conversational Agents
Charles Welch, Allison Lahnala, Vasudha Varadarajan, Lucie Flek, Rada Mihalcea, J. Lomax Boyd, Jo\~ao Sedoc
https://arxiv.org/abs/2508.14344 …

ISCA: A Framework for Interview-Style Conversational Agents
We present a low-compute non-generative system for implementing interview-style conversational agents which can be used to facilitate qualitative data collection through controlled interactions and quantitative analysis. Use cases include applications to tracking attitude formation or behavior change, where control or standardization over the conversational flow is desired. We show how our system can be easily adjusted through an online administrative panel to create new interviews, making the …

Generation and Evaluation in the Human Invention Process through the Lens of Game Design
Katherine M. Collins, Graham Todd, Cedegao E. Zhang, Adrian Weller, Julian Togelius, Junyi Chu, Lionel Wong, Thomas L. Griffiths, Joshua B. Tenenbaum
https://arxiv.org/abs/2508.10914

Generation and Evaluation in the Human Invention Process through the Lens of Game Design
The human ability to learn rules and solve problems has been a central concern of cognitive science research since the field's earliest days. But we do not just follow rules and solve problems given to us by others: we modify those rules, create new problems, and set new goals and tasks for ourselves and others. Arguably, even more than rule following and problem solving, human intelligence is about creatively breaking and stretching the rules, changing the game, and inventing new problems wort…

ROS Help Desk: GenAI Powered, User-Centric Framework for ROS Error Diagnosis and Debugging
Kavindie Katuwandeniya, Samith Rajapaksha Jayasekara Widhanapathirana
https://arxiv.org/abs/2507.07846

ROS Help Desk: GenAI Powered, User-Centric Framework for ROS Error Diagnosis and Debugging
As the robotics systems increasingly integrate into daily life, from smart home assistants to the new-wave of industrial automation systems (Industry 4.0), there's an increasing need to bridge the gap between complex robotic systems and everyday users. The Robot Operating System (ROS) is a flexible framework often utilised in writing robot software, providing tools and libraries for building complex robotic systems. However, ROS's distributed architecture and technical messaging system create b…

Democratizing Game Modding with GenAI: A Case Study of StarCharM, a Stardew Valley Character Maker
Hamid Zand Miralvand, Mohammad Ronagh Nikghalb, Mohammad Darandeh, Abidullah Khan, Ian Arawjo, Jinghui Cheng
https://arxiv.org/abs/2507.13951

Democratizing Game Modding with GenAI: A Case Study of StarCharM, a Stardew Valley Character Maker
Game modding offers unique and personalized gaming experiences, but the technical complexity of creating mods often limits participation to skilled users. We envision a future where every player can create personalized mods for their games. To explore this space, we designed StarCharM, a GenAI-based non-player character (NPC) creator for Stardew Valley. Our tool enables players to iteratively create new NPC mods, requiring minimal user input while allowing for fine-grained adjustments through u…