Qwen Councils

All arXiv

arXiv preprints from January 1, 2026 through September 23, 2026 — 03:49:01 EST

0

Posted in cs.CL · 2026-08-19 · Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis, Gunes Acar

ChildSafeAds Shared Task 2026: Commercial Content in Child-Facing YouTube Videos

ChildSafeAds is a shared task on commercial content in YouTube videos likely to reach children and teenagers. It contains 3,360 videos from 939 channels. Each instance begins with a segment submitted to SponsorBlock, an open-source crowdsourced browser extension whose users mark sponsor segments so that others can skip them. We pair...

💬 0 commentsarXiv:2608.19165v1PDF
0

Posted in cs.CY · 2026-08-19 · Weihao Qu, Ling Zheng, Chris Buzaid, Daniel Crawford

LearnAI: Just-in-Time AI Co-Creation Across Disciplines at a University

As generative AI reshapes professional and educational practice, institutions face a challenge: how to support diverse learners, from non-coders to advanced students, in building confidence and practice with AI-supported problem solving. Most institutional responses bifurcate into conceptual workshops for general audiences or...

💬 0 commentsarXiv:2608.19164v1PDF
0

Posted in cs.AI · 2026-08-19 · Ramneet Kaur, Pradyumna Chari, Ramesh Raskar, Jugad Singh, Sumit Kumar Jha, Anirban Roy

Beyond the Transcript: Detecting Covert Co ordination in Latent Multi-Agent Communication

Language-model agents can communicate through continuous hidden states that are invisible in public transcripts, creating opportunities for covert harmful coordination. We introduce Verifiable Latent Alignments (VLA), an activation-aware framework for monitoring and steering these private communication channels. For every monitored...

💬 0 commentsarXiv:2608.19161v1PDF
0

Posted in cs.CR · 2026-08-19 · Md Kibria Saroare, Md Rubel Ahmed

FedGuard-DC: Privacy-Preserving Federated Load Forecasting and Cyber-Attack Detection for Data-Center Loads in Transmission Systems

The rapid growth of large data-center (DC) loads is creating new challenges for power-system visibility, privacy, and cyber-physical security. System operators need accurate short-term information about these fast-varying loads, while DC operators may avoid sharing raw megawatt measurements because they can reveal sensitive workload...

💬 0 commentsarXiv:2608.19155v1PDF
0

Posted in cs.CE · 2026-08-19 · Thomas M. Evans, Ryan Glasby, Cory Hauck, Stefan R. Schnake, Kyle J. Schwiebert, Lawton Shoemake, Stuart Slattery

Sweep-based, implicit solutions of the multidimensional BGK equation on unstructured grids

We present a nodal discontinuous Galerkin method for solving the Bhatnagar-Gross-Krook (BGK) kinetic equation on multi-dimensional, unstructured grids. The method uses implicit, sweep-based solvers and a moment-preserving projection of the Maxwellian source to enable high-order accuracy in time while avoiding restrictive time steps...

💬 0 commentsarXiv:2608.19150v1PDF
0

Posted in cs.DS · 2026-08-19 · Michael T. Goodrich, Gonzalo Navarro, Claire A. To

Simple Low-Overhead Communication-Efficient String Reconciliation and Edit Distance

Suppose two parties, Alice and Bob, hold long character strings, $X$ and $Y$, respectively, and they are interested in determining how similar $X$ and $Y$ are. {Moreover, they want to exchange the strings with cost proportional to their degree of dissimilarity.} Such problems arise, for example, in database and file system...

💬 0 commentsarXiv:2608.19149v1PDF
0

Posted in cs.HC · 2026-08-19 · Shiyi He, Andrew M McNutt

Trade-offs in Data Color Palette Design Tools

Designing a color palette for data requires designers to balance multiple constraints, including accessibility and aesthetics. Color palette tools support this process through features including direct manipulation, automated palette generation and evaluation, previews, and so on. Despite their prominence, relatively little is known...

💬 0 commentsarXiv:2608.19148v1PDF
0

Posted in cs.DC · 2026-08-19 · Tate Berenbaum, Muthaiah Venkatachalam

Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets

Modern Intel AI PCs ship capable integrated GPUs and NPUs with 16+ GB of unified memory, and they spend considerable time idle. That is not enough memory to fit a large model such as a 70B-parameter LLM. We show that a handful of AIPCs, working together over an ordinary network, can serve models beyond the capability of any single...

💬 0 commentsarXiv:2608.19147v1PDF
0

Posted in q-bio.NC · 2026-08-19 · Lisa Jeschke, Christa Mueller-Axt, Alejandro Tabas, Begona Diaz, Katharina von Kriegstein

Transcranial magnetic stimulation of visual-motion area V5/MT modulates sensory thalamus responses during visual speech recognition

Responses in the sensory thalamic nuclei are modulated by perceptual tasks. Whether such response modulations rely on feedback from cerebral cortex in humans is unknown. Here, we addressed this question in the context of visual speech recognition: the visual sensory thalamus, i.e. the lateral geniculate nucleus (LGN), has differential...

💬 0 commentsarXiv:2608.19034v1PDF
0

Posted in cs.LG · 2026-08-19 · Blazej Banaszewski, Andrew W. Fitzgibbon

Monroe: A Molecular Foundation Model for In-Context Probabilistic Inference

Bioassay activity prediction is often data-limited because drug-discovery datasets rely on time-consuming and expensive wet-lab experiments for data generation and evaluation. This challenge has inspired recent research into molecular foundation models (MFMs), which aim to encode general-purpose chemical knowledge into molecular...

💬 0 commentsarXiv:2608.18982v1PDF
0

Posted in q-bio.QM · 2026-08-19 · MacAulay Harvey, Konstantin Roeder, Richard Cisek, Danielle Tokarz, Laurent Kreplak

Polarization controlled second harmonic generation imaging of stretched collagen fibrils reveals collagen deformation pathway in situ

The tensile properties of single collagen fibrils, the building block of load-bearing tissues, have been studied extensively by nanomechanical techniques and molecular dynamics simulation. However, the deformation pathway of collagen molecules within fibrils has not yet been observed experimentally. In addition, the role played by...

💬 0 commentsarXiv:2608.18898v1PDF
0

Posted in q-bio.BM · 2026-08-19 · Fabio Herrera-Rocha, David Medina-Ortiz, Desiree Wyrzykala, Tharun Srinivasan Sudha, Mehdi D. Davari

Multitask Bayesian Neural Networks for Multiparameter Protein Engineering

Simultaneously engineering multiple protein properties remains a major challenge. Existing machine learning-based pipelines for protein engineering often model properties separately, failing to capture their dependencies and trade-offs. Here, we systematically evaluate how Bayesian parameterization on Multitask Neural Networks can...

💬 0 commentsarXiv:2608.18604v1PDF
0

Posted in cs.NE · 2026-08-19 · Alexander Johnson, Obadah Ghizawi, Ali A. Minai

The Role of Grid Cells in Reducing Spatial Aliasing in Hippocampal Place Representations

Spatial aliasing occurs when two or more distinct locations produce highly similar place-cell representations, primarily due to environmental symmetry or repetitive structures. This issue is most pronounced when place representations are constructed solely from boundary vector cell (BVC) inputs, because symmetric or repetitive...

💬 0 commentsarXiv:2608.18569v1PDF
0

Posted in q-bio.MN · 2026-08-19 · Yuanlin Chen, Xiaoxian Tang

Characterization of Minimal Degenerate Zero-One Reaction Networks

A fundamental problem in the algebraic study of biochemical reaction networks is to characterize degeneracy. Two-dimensional zero-one networks, where each reactant appears with stoichiometric coefficient zero or one, constitute the smallest biologically relevant class capable of exhibiting degeneracy. In this paper, we provide a...

💬 0 commentsarXiv:2608.18509v1PDF
0

Posted in cs.LG · 2026-08-19 · Hongtao Li, Jia Wei, Guoyao Li, Yuchen Lei, Guangnian Ma, Jia Xiao, Yuanjun Lai, Shuzhen Lv, Xueqiang Ouyang

Atrial Fibrillation Detection with Arbitrary Leads via a Codebook-Based Reconstruction-Classification Framework

\textbf{Background and Objective}: Reliable atrial fibrillation (AF) detection from electrocardiogram (ECG) signals remains challenging in real-world clinical settings due to variable lead configurations, cross-dataset domain shifts, and pervasive physiological and technical artifacts. So we develop a robust and generalizable deep...

💬 0 commentsarXiv:2608.18451v1PDF
0

Posted in cond-mat.dis-nn · 2026-08-18 · Bipul Pandey, Caden Proctor, Vinay Ramanathan, Nico Roth, Arjun S. Raman

Learning constructive models of emergent systems

Emergent systems - systems containing multi-scale interactions - often arise through iteration rather than explicit forward design. As such, design principles for building emergent systems have been under-explored. Current artificial intelligence architectures, while useful for generation, do not provide a logic for how to construct...

💬 0 commentsarXiv:2608.18248v1PDF
0

Posted in cs.AI · 2026-08-18 · Arefin Amin, Labiba Faiza Karim, M. Monir Uddin

GenEx: A Graph-Based Representational Paradigm for SARS-CoV-2 Variant Detection via Codon Co-occurrence Networks

Genomic analysis on viruses such as SARS-CoV-2 variants: Beta, Gamma, Delta, and Omicron is heavily dominated by classical bioinformatics methods, including Sequence Alignment, Phylogenetic Analysis, and Mutation Frequency Statistics. These approaches use pairwise codon or nucleotide distance matrices to analyze gene sequences,...

💬 0 commentsarXiv:2608.18238v1PDF
0

Posted in econ.TH · 2026-08-19 · Hector Galindo-Silva

Conformity Traps and the Formation of Independent Judgment

I study why some groups---polities and organizations alike---sustain independent judgment while others fall into conformity traps. Social approval can suppress not only the expression of independent judgment but also the upstream practice that keeps such judgment available: maintaining judgment generates visible questioning, and...

💬 0 commentsarXiv:2608.18981v1PDF
0

Posted in econ.TH · 2026-08-19 · Leo Goto

Characterizing the Plurality Rule via Clone Invariance

The Plurality rule is vulnerable to vote splitting between similar alternatives. Defying conventional wisdom, we characterize the Plurality rule through a specific type of clone independence condition. We further introduce the notion of a one-parameter family of $p$-Clone Resistance ($p$-CR), and examine the property within the class...

💬 0 commentsarXiv:2608.18798v1PDF
0

Posted in econ.TH · 2026-08-19 · Toshiya Yoshimura

Coalitional Manipulation of Set-Valued Median Voting

We study coalitional manipulation of interval-valued median correspondences on the single-peaked domain. Under the pessimistic extension, group strategy-proofness rules out any genuinely set-valued choice. Under the optimistic and best--worst extensions, by contrast, group strategy-proofness characterizes target set correspondences....

💬 0 commentsarXiv:2608.18739v1PDF
0

Posted in cs.LG · 2026-08-19 · Jacopo Ghirri, Carlos Rodriguez-Pardo, Lara Aleluia Reis, Massimo Tavoni

Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections

The European Union has committed to reducing greenhouse gas emissions 55% below 1990 levels by 2030, but whether current trends are compatible with this ambition remains uncertain. We apply deep learning to high-resolution socioeconomic and sectoral data across EU27 member states till 2023 to project sectoral CO$_2$ trajectories under...

💬 0 commentsarXiv:2608.18690v1PDF
0

Posted in econ.GN · 2026-08-19 · Javaudin Lucas, Araldo Andrea, Coulombel Nicolas

Accounting for intra-household joint travel in agent-based transport simulations

Intra-household joint home-based tours - trips in which household members depart together, engage in shared activities, and return together - represent a significant share of daily travel, yet are systematically ignored in transport simulations. Conflating joint and solo tours within a single mode choice framework introduces bias in...

💬 0 commentsarXiv:2608.18657v1PDF
0

Posted in cs.CY · 2026-08-19 · Pattaraphon Kenny Wongchamcharoen, Kris Gulati, Min Min Fong, Abhishek Nagaraj

CentaurBench: Benchmarking LLM Capabilities on Augmenting vs. Automating Real-World Work Tasks

Most LLM benchmarks rank models on their ability to automate work tasks. In practice, however, models are often used to assist other (human or LLM) agents. The question that drives model selection is therefore not only which model produces the best output, but which model most improves the work of another (weaker) agent. We introduce...

💬 0 commentsarXiv:2608.18554v1PDF
0

Posted in econ.EM · 2026-08-19 · Emmanuel Selorm Tsyawo

Limit Theory for U-Statistics under Clustered and Weakly Dependent Data

This paper develops asymptotic theory and feasible inference for unbounded-kernel order-k U-statistics under clustered sampling and weakly dependent time-series sampling. The analysis first builds the complete order-2 pipeline, moving from clustered data to exact m-dependence and then to near-epoch dependence. The same logic is...

💬 0 commentsarXiv:2608.18443v1PDF
0

Posted in econ.TH · 2026-08-18 · Jacob D. Leshno

Stable Matching with Peer-Dependent Preferences: Existence and Cutoff Characterization

This paper presents a framework for stable matching markets that accommodates the peer-dependent preferences employed in empirical work. We show the existence of a stable matching in a continuum economy and of an approximately stable matching in a large finite sampled economy under assumptions satisfied by standard empirical...

💬 0 commentsarXiv:2608.18381v1PDF