Qwen Councils

All arXiv

arXiv preprints from January 1, 2026 through September 19, 2026 — 00:59:32 EST

0

Posted in eess.SY · 2026-09-17 · Muhammad Adel Yusuf, Nezar M. Alyazidi, Hamna Saleem, Ali Nasir, Mojeed Oyedeji

Advances in Modeling Techniques for Ventricular Assist Devices: A Comprehensive Review and Future Directions

Ventricular Assist Devices (VADs), particularly rotary Left Ventricular Assist Devices (LVADs), are essential for patients with advanced heart failure who are ineligible for transplantation. Despite advances in cardiovascular modeling and control, clinical translation of proposed LVAD control methods remains limited. This review...

💬 0 commentsarXiv:2609.20518v1PDF
0

Posted in eess.AS · 2026-09-17 · Aakash Singh, Lakshmi Pedapudi, Chandrashekar M S, Sanyam Singh, Naga Ganesh, Vineet Singh

Model-Agnostic and Language-Agnostic Voice Pipeline Improvement for the Agriculture Domain

FarmerChat is Digital Green's AI-powered agricultural advisory assistant for smallholder farmers, who access it in their own language through text, voice, or photographs. Voice is a critical channel for this population, yet field-recorded speech is challenging for general-purpose automatic speech recognition (ASR) because recordings...

💬 0 commentsarXiv:2609.20504v1PDF
0

Posted in math.ST · 2026-09-17 · Jean-Pierre Delmas, Habti Abeida, Stefano Fortunati

On the parametric and semiparametric Fisher information matrix for non-zero mean stationary spherical invariant random processes

The classical Whittle formula provides a closed-form expression for the asymptotic Fisher information matrix (FIM) rate of multidimensional, real-valued, zero-mean, purely nondeterministic stationary Gaussian processes (GPs), expressed in terms of their parameterized spectra within a maximum-likelihood framework. However, the Gaussian...

💬 0 commentsarXiv:2609.20469v1PDF
0

Posted in eess.AS · 2026-09-17 · Yuesheng Ma, Linyang He, Nima Mesgarani

Beyond the Stability--Plasticity Frontier in Streaming Target Speaker Extraction

Streaming target speaker extraction must maintain a representation of whom to extract while the target may fall silent, be masked by interference, or drift acoustically away from enrollment. Existing systems typically hold this state as a stored embedding updated by hand-designed rules. Across 22 configurations, including...

💬 0 commentsarXiv:2609.20463v1PDF
0

Posted in eess.SP · 2026-09-17 · Jianing Li, Li Chai, Xinyao Rao, Hailin Zhang

Robust Recovery of Sparse Support in Constrained Group Testing

In the early stage of a pandemic, rapidly identifying a small number of infected individuals through large-scale screening is critical for pandemic control. Group testing has been widely used to improve testing efficiency and numerous studies have investigated the problem under noisy measurements, typically modeled as bit-flipping of...

💬 0 commentsarXiv:2609.20452v1PDF
0

Posted in eess.SY · 2026-09-17 · Gabriel Gentil, Amit Bhaya

Sparse One-Step-Ahead Optimal Control of Time-Varying Affine Opinion Networks: Tracking and Competitive Games

This paper studies resource-limited external influence in time-varying opinion networks when a controller must choose both a small set of agents and a scalar intervention at each update. We use the affine free response, which includes DeGroot and Friedkin--Johnsen dynamics, followed by a direct sparse action. Eliminating the scalar...

💬 0 commentsarXiv:2609.20450v1PDF
0

Posted in eess.SP · 2026-09-17 · Jianing Li, Li Chai, Hailin Zhang

Graph-Aware Group Testing with Locally Clustered Infections

Group testing has been widely used to identify infected individuals with a limited number of tests, typically under the assumption of independent infections. Recent studies have exploited correlations among individuals, but often require additional information beyond the contact graph, such as community structures, interaction...

💬 0 commentsarXiv:2609.20418v1PDF
0

Posted in eess.SP · 2026-09-17 · Ronit Sohanpal, Eric Sillekens, Mindaugas Jarmolovičius, Robert I. Killey, Polina Bayvel

Energy-Efficient Hollow-Core Fibre Transmission

Hollow-core fibres (HCFs) are a promising means of increasing the throughput of coherent transmission systems. In addition to their advantages in terms of low latency, nonlinearity and attenuation, HCFs can potentially improve the energy efficiency of coherent transmission systems by reducing the number of repeaters and enabling more...

💬 0 commentsarXiv:2609.20383v1PDF
0

Posted in quant-ph · 2026-09-17 · Aleksander Lasek, Paweł Horodecki

Environment Alignment and Redundant Record Formation in Imperfect-CNOT Quantum Darwinism

Quantum Darwinism explains objective information through redundant environmental records. Earlier work established that imperfect records can be amplified and that environment self-evolution can enhance or suppress their formation. We investigate how preparation, interaction angle, and field disorder combine in an imperfect-CNOT model...

💬 0 commentsarXiv:2609.20823v1PDF
0

Posted in cs.RO · 2026-09-17 · Bingxin Xu, Yuzhang Shang, Zhen Dong, Emilio Ferrara

Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation

Coding agents have emerged as a promising paradigm for robot manipulation: a language model writes the robot controller as a program, and agents built in this way now operate robots without robot-specific training.Whether this paradigm is also safe, however, has not been asked. We evaluate coding agent under a safety constraint, where...

💬 0 commentsarXiv:2609.20822v1PDF
0

Posted in cs.CL · 2026-09-17 · Juri Opitz, Andrianos Michail

Embedding Models Measure in Peculiar Ways

Embedding spaces define notions of semantic similarity and distance. We study whether those embeddings reflect physical measurements of mass, distance, time and volume, which admit a unique, objective notion of semantic equivalence and distance. We find that physical measurement is only weakly modeled in the embedding space, and that...

💬 0 commentsarXiv:2609.20821v1PDF
0

Posted in cs.RO · 2026-09-17 · Nitish Dashora, Douglas Chen, Idan Shenfeld, John Marangola, Pulkit Agrawal, Max Simchowitz

Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision

Complex robotic manipulation tasks frequently require a long-term memory of past events and actions. As conditioning on full histories renders policies prone to spurious correlations and degrades performance, many approaches to policy memory involve compressing historical information through expensive VLM queries in-the-loop to...

💬 0 commentsarXiv:2609.20820v1PDF
0

Posted in cs.CV · 2026-09-17 · Guangzhao He, Hadar Averbuch-Elor, Wei-Chiu Ma

Can 4D Foundation Models Remember?

Perceiving and remembering the visual world is fundamental to navigating and interacting with our environment. Current 4D foundation models, such as camera-controllable video models or 4D reconstruction models, can perceive and reconstruct dynamic environments, but how well they remember what they have perceived remains an open...

💬 0 commentsarXiv:2609.20819v1PDF
0

Posted in cs.CV · 2026-09-17 · Peiyu Liu, Dingxi Zhang, Federico Tombari, Marc Pollefeys, Christina Tsalicoglou, Daniel Barath

SplashSplat: Reconstructing Splashing Liquids from Real-World Multi-View Videos

A splash lives for a fraction of a second: sheets tear into ligaments and droplets, appearance is view-dependent and nearly textureless, and little persists long enough to track. Reconstruction research has consequently focused on smoke, synthetic liquids, or gently deforming surfaces. To our knowledge, no synchronized multi-view...

💬 0 commentsarXiv:2609.20818v1PDF
0

Posted in cs.CV · 2026-09-17 · Kevin Qu, Tao Sun, Massimiliano Viola, Liyuan Zhu, Zhizhuo Zhou, Sayan Deb Sarkar, Konrad Schindler, Iro Armeni

FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations

Modeling articulated objects from sparse monocular views is challenging because each observation reveals only partial geometry and motion evidence. Most feed-forward methods infer articulation from a single observation and therefore rely heavily on learned category-level shape priors. We present FAMOS, a feed-forward model that...

💬 0 commentsarXiv:2609.20817v1PDF
0

Posted in cs.CV · 2026-09-17 · Ji Xie, Dewei Zhou, Xinyu Huang, Zhennan Chen, Xun Wang

Paint-Anything: Unified Any-Color Control for Image Generation and Editing

Professional design requires any-color control: the ability to specify an object's target color with any 24-bit hex value for image generation and editing. Prior work has explored color generation, editing, and colorization, but often relies on dedicated color representations or specialized inference procedures. Advances in large...

💬 0 commentsarXiv:2609.20816v1PDF
0

Posted in cs.CV · 2026-09-17 · Zahra Ghaffari, Massih Bahar, Mojgan Forootan, Ali Darvishi, Hamidreza Bolhasani

ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis

Hereditary polyposis syndromes can be precursor lesions to colorectal cancer and are associated with a broad spectrum of extracolonic tumors. Early identification and accurate classification of these syndromes are essential for timely diagnosis, individualized patient management, and targeted surveillance strategies for affected...

💬 0 commentsarXiv:2609.20815v1PDF
0

Posted in physics.comp-ph · 2026-09-17 · Pochinapeddi Sai Bhargav, Nithin Somasekharan, Rohit Sunil Kanchi, Sicheng He, Shaowu Pan

How Does Distribution Shift Shape Pretraining Gains in Neural PDE Surrogates?

Pretraining a neural PDE surrogate can reduce the amount of new CFD data needed when geometry or modeled physics changes. However, it remains unclear how different components of distribution shift affect this benefit. We pretrain a surrogate on 254,909 RANS solutions from one airfoil family and fine-tune it on a new family under two...

💬 0 commentsarXiv:2609.20814v1PDF
0

Posted in cond-mat.str-el · 2026-09-17 · Hanyu Xue

Statistics, 't Hooft Anomaly, and the Else-Nayak Index: a careful comparison of concepts

Generalized symmetries and topological excitations, as well as symmetry anomalies and the statistics of topological excitations, are widely believed to be related. There are, however, pitfalls in how this relation is established. A lattice truncation of a symmetry transformation to a finite patch gives a symmetry patch operator that...

💬 0 commentsarXiv:2609.20813v1PDF
0

Posted in cs.SE · 2026-09-17 · Nolan Smyth, Yorguin-Jose Mantilla-Ramos, Pascal Jr Tikeng Notsawo, Saskia Helbling, Alberto Tosato, Mohamed Amine Merzouk, Nouha Dziri, Gauthier Gidel, Tommaso Tosato

Quantifying Overclaiming Propensity in Frontier LLM Agents

Frontier coding agents are increasingly trusted to work autonomously for long periods, yet an agent's final response is often the only account of that work a user sees. We quantify the propensity of frontier agents to \emph{overclaim} task completion, a misrepresentation that can mislead the user. An agent overclaims when its final...

💬 0 commentsarXiv:2609.20812v1PDF
0

Posted in math.CO · 2026-09-17 · Luisa Andreis, Riccardo W. Maffucci, Federico Polito

A note on generating polyhedra and quadrangulations

A polyhedron is a planar, $3$-connected graph. We iteratively construct all polyhedra (save for pyramids) from a unique starting graph, namely the square pyramid, via two graph transformations. This builds upon a previous construction, that starts from the full class of pyramids, and applies the same transformations. In a related...

💬 0 commentsarXiv:2609.20811v1PDF
0

Posted in astro-ph.GA · 2026-09-17 · Jess M. Howell, Annette M. N. Ferguson, Olivia C. Jones, Mike. J. Irwin, Maria-Rosa L. Cioni, Geraint F. Lewis, Nicolas. F. Martin, Alan. W. McConnachie

A near-IR survey of luminous asymptotic giant branch stars in the satellites and stellar halo of M31

We investigate the dwarf spheroidal (dSph) satellites and stellar halo of M31 using near-infrared imaging from the Wide-Field Camera on the UKIRT 3.8 m telescope. Our homogeneous analysis covers the stellar extents of 12 dSphs, as well as their surrounding halo field populations. We identify carbon-rich (C) and oxygen-rich (M)...

💬 0 commentsarXiv:2609.20810v1PDF
0

Posted in math.AP · 2026-09-17 · Oliver Petersen

The linear instability of Kasner spacetimes

We prove linear stability of Kasner spacetimes in the direction of the Big Bang, up to an explicit finite dimensional space of non-decaying self-similar solutions. The fastest growing solution is the linearization of Taub's explicit Bianchi II solution, describing a Kasner transition. All other non-decaying solutions are inhomogeneous...

💬 0 commentsarXiv:2609.20809v1PDF
0

Posted in cs.CL · 2026-09-17 · Patrick Gerard, Julia Mendelsohn, Kristina Lerman

Unifying Models of Intergroup Hostility in Online Discourse

Hostile rhetoric toward social groups can normalize exclusion and justify mistreatment, as well as contribute to rising polarization and political violence. Efforts to moderate hostile rhetoric in online speech draw on foundational theories in social and moral psychology, and political science. However, these theories were developed...

💬 0 commentsarXiv:2609.20808v1PDF
0

Posted in cs.LG · 2026-09-17 · Martin Marek, Max Ryabinin

Score Centering Stabilizes Off-policy Reinforcement Learning

Reinforcement learning (RL) of large language models is notoriously sensitive to small differences between training and inference engines, often referred to as the training-inference mismatch (TIM). However, completely eliminating TIM is impractical, as it would come at a major cost to rollout efficiency. In this paper, we show that...

💬 0 commentsarXiv:2609.20807v1PDF