Tootfinder

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- The Effect of Warm-Glow on User Behavioral Intention to Adopt Technology: Extending the UTAUT2 Model
Antonios Saravanos, Neil Stott, Dongnanzi Zheng, Stavros Zervoudakis

Continuous Audio Language Models
Rouard Simon, Orsini Manu, Roebel Axel, Zeghidour Neil, D\'efossez Alexandre
https://arxiv.org/abs/2509.06926 https://…

Continuous Audio Language Models
Audio Language Models (ALM) have emerged as the dominant paradigm for speech and music generation by representing audio as sequences of discrete tokens. Yet, unlike text tokens, which are invertible, audio tokens are extracted from lossy codecs with a limited bitrate. As a consequence, increasing audio quality requires generating more tokens, which imposes a trade-off between fidelity and computational cost. We address this issue by studying Continuous Audio Language Models (CALM). These models…

Handling Data Gaps for the Next Generation of Gravitational-Wave Observatories
Noah Pearson, Neil J. Cornish
https://arxiv.org/abs/2509.05479 https://arxiv…

Handling Data Gaps for the Next Generation of Gravitational-Wave Observatories
In the coming decades, as the low frequency sensitivity of detectors improves, the time that gravitational-wave signals remain in the sensitive band will increase, leading to new challenges in analyzing data, namely non-stationary noise and data gaps. Time-frequency (wavelet) methods can efficiently handle non-stationary noise, but data gaps still lead to spectral leakage due to the finite length of the wavelet filters. It was previously shown that Bayesian data augmentation - "gap filling" - c…

The Stability of Block Eliminations and Additive Modifications
Neil Lindquist, Piotr Luszczek, Jack Dongarra
https://arxiv.org/abs/2509.07305 https://arxiv…

The Stability of Block Eliminations and Additive Modifications
The block elimination with additive modifications (BEAM) method was recently proposed as a alternative to LU with partial pivoting requiring less communication. Because of the novelty of BEAM, the existing theoretical analysis is lacking. To that end, we analyze both the numerical stability of the underlying block LU factorization and the effects of additive modifications. For the block LU factorization, we are able to improve the previous results of Demmel et al. from being cubic in the elemen…

Replaced article(s) found for hep-ph. https://arxiv.org/list/hep-ph/new
[1/2]:
- Repurposing lattice QCD results for composite phenomenology
Thomas DeGrand, Ethan T. Neil

Algorithmic Information Bounds for Distances and Orthogonal Projections
Peter Cholak, Marianna Cs\"ornyei, Neil Lutz, Patrick Lutz, Elvira Mayordomo, D. M. Stull
https://arxiv.org/abs/2509.05211

Algorithmic Information Bounds for Distances and Orthogonal Projections
We develop quantitative algorithmic information bounds for orthogonal projections and distances in the plane. Under mild independence conditions, the distance $|x-y|$ and a projection coordinate $p_e x$ each retain at least half the algorithmic information content of $x$ in the sense of finite-precision Kolmogorov complexity, up to lower-order terms. Our bounds support conditioning on coarser approximations, enabling case analyses across precision scales. The proofs introduce a surrog…

A Possibility Frontier Approach to Diverse Talent Selection
Neil Natarajan, Kadeem Noray
https://arxiv.org/abs/2510.06119 https://arxiv.org/pdf/2510.06119

A Possibility Frontier Approach to Diverse Talent Selection
Organizations (e.g., talent investment programs, schools, firms) are perennially interested in selecting cohorts of talented people. And organizations are increasingly interested in selecting diverse cohorts. Except in trivial cases, measuring the tradeoff between cohort diversity and talent is computationally difficult. Thus, organizations are presently unable to make Pareto-efficient decisions about these tradeoffs. We introduce an algorithm that approximates upper bounds on cohort talent and…

Distributionally Robust System Level Synthesis With Output Feedback Affine Control Policy
Yun Li, Jicheng Shi, Colin N. Jones, Neil Yorke-Smith, Tamas Keviczky
https://arxiv.org/abs/2508.05466

Distributionally Robust System Level Synthesis With Output Feedback Affine Control Policy
This paper studies the finite-horizon robust optimal control of linear systems subject to model mismatch and additive stochastic disturbances. Utilizing the system level synthesis (SLS) parameterization, we propose a novel SLS design using output-feedback affine control policy and extend it to a distributionally robust setting to improve system resilience by minimizing the cost function while ensuring constraint satisfaction against the worst-case uncertainty distribution. The scopes of model m…

Who Do You Think You Are? Creating RSE Personas from GitHub Interactions
Felicity Anderson, Julien Sindt, Neil Chue Hong
https://arxiv.org/abs/2510.05390 https://

Who Do You Think You Are? Creating RSE Personas from GitHub Interactions
We describe data-driven RSE personas: an approach combining software repository mining and data-driven personas applied to research software (RS), an attempt to describe and identify common and rare patterns of Research Software Engineering (RSE) development. This allows individuals and RS project teams to understand their contributions, impact and repository dynamics - an important foundation for improving RSE. We evaluate the method on different patterns of collaborative interaction behaviour…

Self-interacting dark matter in the center of a Local Group dwarf galaxy and its satellites
Thales A. Gutcke, Giulia Despali, Stephanie O'Neil, Mark Vogelsberger, Azadeh Fattahi, David B. Sanders
https://arxiv.org/abs/2510.05258

Self-interacting dark matter in the center of a Local Group dwarf galaxy and its satellites
We present a detailed comparison of a Local Group dwarf galaxy analogue evolved in two cosmological models: the standard $Λ$CDM and a self-interacting dark matter (SIDM) model with a velocity-dependent cross-section. Both simulations are run with the high-resolution, hydrodynamical LYRA galaxy formation model, allowing us to explore the global and substructure properties of the dwarf in a consistent context. While the overall halo growth, final mass, and subhalo mass functions remain largely u…

From X-rays to High-Energy Gamma-rays: A Comprehensive Multi-Wavelength Study of Early Gamma-Ray Burst Afterglows
P. Tiwari, B. Banerjee, D. Miceli, G. Oganesyan, A. Ierardi, S. Macera, M. Branchesi, L. Nava, S. Mohnani, S. Agarwal, A. Shukla
https://arxiv.org/abs/2510.05239

From X-rays to High-Energy Gamma-rays: A Comprehensive Multi-Wavelength Study of Early Gamma-Ray Burst Afterglows
Gamma-ray Bursts (GRBs) generate powerful relativistic jets that inject a large amount of energy into their surrounding environment, producing blast waves that accelerate particles to high energies. The GRB afterglow radiation provides a powerful means to investigate the microphysics of relativistic shocks and to probe the medium surrounding the progenitor of the burst. In this study, we present a comprehensive multiwavelength analysis of 31 GRBs observed between 2008 and 2024 from the Neil Geh…

On Aligning Prediction Models with Clinical Experiential Learning: A Prostate Cancer Case Study
Jacqueline J. Vallon, William Overman, Wanqiao Xu, Neil Panjwani, Xi Ling, Sushmita Vij, Hilary P. Bagshaw, John T. Leppert, Sumit Shah, Geoffrey Sonn, Sandy Srinivas, Erqi Pollom, Mark K. Buyyounouski, Mohsen Bayati
https://arxiv.org/abs/2509.0…

On Aligning Prediction Models with Clinical Experiential Learning: A Prostate Cancer Case Study
Over the past decade, the use of machine learning (ML) models in healthcare applications has rapidly increased. Despite high performance, modern ML models do not always capture patterns the end user requires. For example, a model may predict a non-monotonically decreasing relationship between cancer stage and survival, keeping all other features fixed. In this paper, we present a reproducible framework for investigating this misalignment between model behavior and clinical experiential learning…

Water Detection in the Interstellar Object 3I/ATLAS
Zexi Xing, Shawn Oset, John Noonan, Dennis Bodewits
https://arxiv.org/abs/2508.04675 https://arxiv.org/…

Water Detection in the Interstellar Object 3I/ATLAS
We report the first detection of water activity in the third confirmed interstellar object, 3I/ATLAS, based on ultraviolet imaging with the \emph{Neil Gehrels-Swift Observatory}. Observations acquired with the Ultraviolet/Optical Telescope on 2025 July 31st - Aug 1st revealed OH (A$^2Σ$ -- X$^2Π$) emission near 3085~Å. The water production rate results highly depend on the reddening assumption. For a reddening of 38.6\% between 5437.8~Å and 3325.7~Å, the water production rate is $(1.35 \pm…

CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
Alec Sargood, Lemuel Puglisi, James H. Cole, Neil P. Oxtoby, Daniele Rav\`i, Daniel C. Alexander
https://arxiv.org/abs/2508.01292

CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
Synthesizing amyloid PET scans from the more widely available and accessible structural MRI modality offers a promising, cost-effective approach for large-scale Alzheimer's Disease (AD) screening. This is motivated by evidence that, while MRI does not directly detect amyloid pathology, it may nonetheless encode information correlated with amyloid deposition that can be uncovered through advanced modeling. However, the high dimensionality and structural complexity of 3D neuroimaging data pose si…

Long-term resilience of online battle over vaccines and beyond
Lucia Illari, Nicholas J. Restrepo, Neil F. Johnson
https://arxiv.org/abs/2508.01398 https://

Long-term resilience of online battle over vaccines and beyond
What has been the impact of the enormous amounts of time, effort and money spent promoting pro-vaccine science from pre-COVID-19 to now? We answer this using a unique mapping of online competition between pro- and anti-vaccination views among ~100M Facebook Page members, tracking 1,356 interconnected communities through platform interventions. Remarkably, the network's fundamental architecture shows no change: the isolation of established expertise and the symbiosis of anti and mainstream neutr…

SecInfer: Preventing Prompt Injection via Inference-time Scaling
Yupei Liu, Yanting Wang, Yuqi Jia, Jinyuan Jia, Neil Zhenqiang Gong
https://arxiv.org/abs/2509.24967 https://

SecInfer: Preventing Prompt Injection via Inference-time Scaling
Prompt injection attacks pose a pervasive threat to the security of Large Language Models (LLMs). State-of-the-art prevention-based defenses typically rely on fine-tuning an LLM to enhance its security, but they achieve limited effectiveness against strong attacks. In this work, we propose \emph{SecInfer}, a novel defense against prompt injection attacks built on \emph{inference-time scaling}, an emerging paradigm that boosts LLM capability by allocating more compute resources for reasoning dur…

Beyond Quantification: Navigating Uncertainty in Professional AI Systems
Sylvie Delacroix, Diana Robinson, Umang Bhatt, Jacopo Domenicucci, Jessica Montgomery, Gael Varoquaux, Carl Henrik Ek, Vincent Fortuin, Yulan He, Tom Diethe, Neill Campbell, Mennatallah El-Assady, Soren Hauberg, Ivana Dusparic, Neil Lawrence
https://arxiv.org/abs/2509…

Beyond Quantification: Navigating Uncertainty in Professional AI Systems
The growing integration of large language models across professional domains transforms how experts make critical decisions in healthcare, education, and law. While significant research effort focuses on getting these systems to communicate their outputs with probabilistic measures of reliability, many consequential forms of uncertainty in professional contexts resist such quantification. A physician pondering the appropriateness of documenting possible domestic abuse, a teacher assessing cultu…

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning
Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan
https://arxiv.org/abs/2508.21488 https://

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning
Uncertainty quantification in reinforcement learning can greatly improve exploration and robustness. Approximate Bayesian approaches have recently been popularized to quantify uncertainty in model-free algorithms. However, so far the focus has been on improving the accuracy of the posterior approximation, instead of studying the accuracy of the prior and likelihood assumptions underlying the posterior. In this work, we demonstrate that there is a cold posterior effect in Bayesian deep Q-learnin…

RangeSAM: Leveraging Visual Foundation Models for Range-View repesented LiDAR segmentation
Paul Julius K\"uhn, Duc Anh Nguyen, Arjan Kuijper, Holger Graf, Dieter Fellner, Saptarshi Neil Sinha
https://arxiv.org/abs/2509.15886

RangeSAM: Leveraging Visual Foundation Models for Range-View repesented LiDAR segmentation
Point cloud segmentation is central to autonomous driving and 3D scene understanding. While voxel- and point-based methods dominate recent research due to their compatibility with deep architectures and ability to capture fine-grained geometry, they often incur high computational cost, irregular memory access, and limited real-time efficiency. In contrast, range-view methods, though relatively underexplored - can leverage mature 2D semantic segmentation techniques for fast and accurate predicti…

Multihead Finite-State Dimension
Xiang Huang, Xiaoyuan Li, Jack H. Lutz, Neil Lutz
https://arxiv.org/abs/2509.22912 https://arxiv.org/pdf/2509.22912…

Multihead Finite-State Dimension
We introduce multihead finite-state dimension, a generalization of finite-state dimension in which a group of finite-state agents (the heads) with oblivious, one-way movement rules, each reporting only one symbol at a time, enable their leader to bet on subsequent symbols in an infinite data stream. In aggregate, such a scheme constitutes an $h$-head finite state gambler whose maximum achievable growth rate of capital in this task, quantified using betting strategies called gales, determines th…

Spectral-temporal processing using integrated recursive electro-optic circuit
Xudong Li, Yaowen Hu, Tong Ge, Andrea Cordaro, Yunxiang Song, Xinrui Zhu, Shengyuan Lu, Keith Powell, Let\'icia Magalh\~aes, Urban Senica, Neil Sinclair, Marko Lon\v{c}ar
https://arxiv.org/abs/2509.25102

Spectral-temporal processing using integrated recursive electro-optic circuit
Advances in integrated photonics have enabled unprecedented level of control of light, powering a wide range of photonic technologies from communications and computing to precision metrology and quantum information. However, the conventional on-chip optical signal processing approaches based on optical waveguides and cavities suffer from their large physical footprint and narrow operating bandwidth, respectively. To address this, we propose and experimentally demonstrate, using the thin film li…

Metric Equational Theories
Radu Mardare (Heriot-Watt University, Edinburgh, Scotland), Neil Ghani (University of Strathclyde, Glasgow, Scotland), Eigil Rischel (University of Strathclyde, Glasgow, Scotland)
https://arxiv.org/abs/2509.14094

Metric Equational Theories
This paper proposes appropriate sound and complete proof systems for algebraic structures over metric spaces by combining the development of Quantitative Equational Theories (QET) with the Enriched Lawvere Theories. We extend QETs to Metric Equational Theories (METs) where operations no longer have finite sets as arities (as in QETs and the general theory of universal algebras), but arities are now drawn from countable metric spaces. This extension is inspired by the theory of Enriched Lawvere …

A Category Theoretic Approach to Approximate Game Theory
Neil Ghani (MSP Group, University of Strathclyde)
https://arxiv.org/abs/2509.20932 https://arxiv.o…

A Category Theoretic Approach to Approximate Game Theory
This paper uses category theory to develop an entirely new approach to approximate game theory. Game theory is the study of how different agents within a multi-agent system take decisions. At its core, game theory asks what an optimal decision is in a given scenario. Thus approximate game theory asks what is an approximately optimal decision in a given scenario. This is important in practice as -- just like in much of computing -- exact answers maybe too difficult to compute or even impossible …

On the Detection of Internal Defects in Structured Media
Bryl Nico M. Ong, Aarush Borker, Neil Jerome A. Egarguin, Daniel Onofrei
https://arxiv.org/abs/2509.16216 https://

On the Detection of Internal Defects in Structured Media
A critical issue that affects engineers trying to assess the structural integrity of various infrastructures, such as metal rods or acoustic ducts, is the challenge of detecting internal fractures (defects). Traditionally, engineers depend on audible and visual aids to identify these fractures, as they do not physically dissect the object in question into multiple pieces to check for inconsistencies. This research introduces ideas towards the development of a robust strategy to image such defec…

NIRPS joining HARPS at ESO 3.6 m. On-sky performance and science objectives
Francois Bouchy, Rene Doyon, Francesco Pepe, Claudio Melo, Etienne Artigau, Lison Malo, Francois Wildi, Frederique Baron, Xavier Delfosse, Jose Renan De Medeiros, Rafael Rebolo, Nuno C. Santos, Gregg Wade, Romain Allart, Khaled Al Moulla, Nicolas Blind, Charles Cadieux, Bruno L. Canto Martins, Neil J. Cook, Xavier Dumusque, Yolanda Frensch, Frederic Genest, Jonay I. Gonzalez Hernandez, Nolan Grieves, Gaspare Lo…

NIRPS joining HARPS at ESO 3.6 m. On-sky performance and science objectives
The Near-InfraRed Planet Searcher (NIRPS) is a high-resolution, high-stability near-infrared (NIR) spectrograph equipped with an AO system. Installed on the ESO 3.6-m telescope, it was developed to enable radial velocity (RV) measurements of low-mass exoplanets around M dwarfs and to characterise exoplanet atmospheres in the NIR. This paper provides a comprehensive design overview and characterisation of the NIRPS instrument, reporting on its on-sky performance, and presenting its GTO programme…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/8]:
- DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks
Yupei Liu, Yuqi Jia, Jinyuan Jia, Dawn Song, Neil Zhenqiang Gong

Streaming Sequence-to-Sequence Learning with Delayed Streams Modeling
Neil Zeghidour, Eugene Kharitonov, Manu Orsini, V\'aclav Volhejn, Gabriel de Marmiesse, Edouard Grave, Patrick P\'erez, Laurent Mazar\'e, Alexandre D\'efossez
https://arxiv.org/abs/2509.08753

Streaming Sequence-to-Sequence Learning with Delayed Streams Modeling
We introduce Delayed Streams Modeling (DSM), a flexible formulation for streaming, multimodal sequence-to-sequence learning. Sequence-to-sequence generation is often cast in an offline manner, where the model consumes the complete input sequence before generating the first output timestep. Alternatively, streaming sequence-to-sequence rely on learning a policy for choosing when to advance on the input stream, or write to the output stream. DSM instead models already time-aligned streams with a …

Chromaticity of stellar activity in radial velocities : Anti-correlated families of lines on the M dwarf EV Lac with SPIRou and SOPHIE
Pierre Larue, Xavier Delfosse, Andres Carmona, Nad\`ege Meunier, \'Etienne Artigau, Stefano Bellotti, Paul Charpentier, Claire Moutou, Jean-Fran\c{c}ois Donati, Isabelle Boisse, Thierry Forveille, Luc Arnold, Vincent Bourrier, Xavier Bonfils, Charles Cadieux, Antoine Chomez, Neil Cook, Pia Cortes Zuleta, Paul Cristofari, Rodrigo Diaz, Ren\'e Doy…

Chromaticity of stellar activity in radial velocities : Anti-correlated families of lines on the M dwarf EV Lac with SPIRou and SOPHIE
Context. In the search for exoplanets using radial velocities (RV), stellar activity has become one of the main limiting factors for detectability. Fortunately, activity-induced RV signals are wavelength-dependent or chromatic, unlike planetary signals. This study exploits the broad spectral coverage provided by the combined use of SOPHIE and SPIRou velocimeters to investigate the chromatic nature of the activity signal of the highly active M dwarf EV Lac. Aims. We aim to understand the origi…

The Proportional Fair Scheduler in Wavelength-Multiplexed Quantum Networks
Sanidhay Bhambay, Siddarth Koduru Joshi, Thirupathaiah Vasantam, Neil Walton
https://arxiv.org/abs/2507.13999

The Proportional Fair Scheduler in Wavelength-Multiplexed Quantum Networks
We address the problem of optimal pumping strategies in quantum networks. These networks enable secure communication by distributing entangled photon pairs to user (or node) pairs. Quantum Key Distribution (QKD) protocols, like BBM92, generate secret keys from entangled photons. While secure communication and error correction are essential for any quantum communication channel, resource contention, optimization, and fairness issues are critical for networks. In this article, we analyze the perf…

Crosslisted article(s) found for cs.MA. https://arxiv.org/list/cs.MA/new
[1/1]:
- ORCA: Agentic Reasoning For Hallucination and Adversarial Robustness in Vision-Language Models
Chung-En Johnny Yu (Neil), Hsuan-Chih (Neil), Chen, Brian Jalaian, Nathaniel D. Bastian

Fixed points of classical gravity coupled with a Standard-Model-like theory
Latham Boyle, Neil Turok, Vatsalya Vaibhav
https://arxiv.org/abs/2509.09346 https://

Fixed points of classical gravity coupled with a Standard-Model-like theory
Coupling quantum field theory (QFT) \!-\! even free QFT \!-\! to gravity leads to well-known problems. In particular, the stress tensor $T_{μν}$ (gravity's source) and its correlators typically diverge in the UV, creating a conflict between the wildly inhomogeneous spacetime we expect quantum mechanically and the weakly-curved, macroscopic spacetime we observe. Are there QFTs for which these divergences cancel? Here, for simplicity, we consider free quantum fields on a classical curved backgr…

Comprehensive X-ray Observations of the Exceptional Ultra-long X-ray and Gamma-ray Transient GRB 250702B with Swift, NuSTAR, and Chandra: Insights from the X-ray Afterglow Properties
Brendan O'Connor, Ramandeep Gill, James DeLaunay, Jeremy Hare, Dheeraj Pasham, Eric R. Coughlin, Ananya Bandopadhyay, Akash Anumarlapudi, Paz Beniamini, Jonathan Granot, Igor Andreoni, Jonathan Carney, Michael J. Moss, Ersin G\"o\u{g}\"u\c{s}, Jamie A. Kennea, Malte Busmann, Simone Dichiara, …

Comprehensive X-ray Observations of the Exceptional Ultra-long X-ray and Gamma-ray Transient GRB 250702B with Swift, NuSTAR, and Chandra: Insights from the X-ray Afterglow Properties
GRB 250702B is an exceptional transient that produced multiple episodes of luminous gamma-ray radiation lasting for $>25$ ks, placing it among the class of ultra-long gamma-ray bursts (GRBs). However, unlike any known GRB, a soft X-ray precursor was discovered by the Einstein Probe up to 24 hours before the gamma-ray triggers. We present comprehensive X-ray observations of the transient's afterglow obtained with the Neil Gehrels Swift Observatory, the Nuclear Spectroscopic Telescope Array, and …

GW250114 reveals black hole horizon signatures
Neil Lu, Sizheng Ma, Ornella J. Piccinni, Yanbei Chen, Ling Sun
https://arxiv.org/abs/2510.01001 https://arx…

GW250114 reveals black hole horizon signatures
The horizon of a black hole, the "surface of no return," is characterized by its rotation frequency $Ω_H$ and surface gravity $κ$. A striking signature is that any infalling object appears to orbit at $Ω_H$ due to frame dragging, while its emitted signals decay exponentially at a rate set by $κ$ as a consequence of gravitational redshift. Recent theoretical work predicts that the merger phase of gravitational waves from binary black hole coalescences carries direct imprints of the remnant h…

Markov Decision Processing Networks
Sanidhay Bhambay, Thirupathaiah Vasantam, Neil Walton
https://arxiv.org/abs/2509.24541 https://arxiv.org/pdf/2509.24541…

Markov Decision Processing Networks
We introduce Markov Decision Processing Networks (MDPNs) as a multiclass queueing network model where service is a controlled, finite-state Markov process. The model exhibits a decision-dependent service process where actions taken influence future service availability. Viewed as a two-sided queueing model, this captures settings such as assemble-to-order systems, ride-hailing platforms, cross-skilled call centers, and quantum switches. We first characterize the capacity region of MDPNs. Unli…

Cryptographic Data Exchange for Nuclear Warheads
Neil Perry, Daniil Zhukov
https://arxiv.org/abs/2507.20074 https://arxiv.org/pdf/2507.20074

Cryptographic Data Exchange for Nuclear Warheads
Nuclear arms control treaties have historically focused on strategic nuclear delivery systems, leaving nuclear warheads outside formal verification frameworks. This paper presents a cryptographic protocol for secure and verifiable warhead tracking, addressing challenges in nuclear warhead verification without requiring intrusive physical inspections. Our system leverages commitment schemes and zero-knowledge succinct non-interactive arguments of knowledge (zkSNARKs) to ensure compliance with tr…

MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Models
Faraz Faruqi, Amira Abdel-Rahman, Leandra Tejedor, Martin Nisser, Jiaji Li, Vrushank Phadnis, Varun Jampani, Neil Gershenfeld, Megan Hofmann, Stefanie Mueller
https://arxiv.org/abs/2509.20571

MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Models
Recent developments in Generative AI enable creators to stylize 3D models based on text prompts. These methods change the 3D model geometry, which can compromise the model's structural integrity once fabricated. We present MechStyle, a system that enables creators to stylize 3D printable models while preserving their structural integrity. MechStyle accomplishes this by augmenting the Generative AI-based stylization process with feedback from a Finite Element Analysis (FEA) simulation. As the st…

The interstellar heritage of comets
Karen Willacy, Liton Majumdar, Boncho Bonev, Erika Gibb, Neil Dello Russo, Michael DiSanti, Ronald J. Vervack Jr, Nathan X Roth
https://arxiv.org/abs/2509.20530

The interstellar heritage of comets
Comets have similar compositions to interstellar medium ices, suggesting at least some of their molecules maybe inherited from an earlier stage of evolution. To investigate the degree to which this might have occurred we compare the composition of individual comets to that of the well-studied protostellar region IRAS 16293-2422B. We show that the observed molecular abundance ratios in several comets correlate well with those observed in the protostellar source. However, this does not necessaril…

Replaced article(s) found for math.NA. https://arxiv.org/list/math.NA/new
[1/1]:
- The Stochastic Steepest Descent Method for Robust Optimization in Banach Spaces
Neil K. Chada, Philip J. Herbert

Electronic structure of the interface between Au and WSe2
Laxman Nagireddy, Samuel J. Magorrian, Matthew D. Watson, Yogal Prasad Ghimirey, Marc Walker, Cephise Cacho, Neil R. Wilson, Nicholas D. M. Hine
https://arxiv.org/abs/2508.15600

Electronic structure of the interface between Au and WSe2
Understanding the interface between metals and two-dimensional materials is critical for their application in electronics and for the development of metal-mediated exfoliation of large area monolayers. Studying the intricate interactions at the interface requires model systems that enable control of the roughness, purity, and crystallinity of the metal surface. Here, we investigate the layer-dependent electronic structure of WSe_2 on template-stripped gold substrates fabricated using both silic…

Extreme magnetic field-boosted superconductivity in a high-temperature superconductor
Km Rubi, King Yau Yip, Elizabeth Krenkel, Nurul Fitriyah, Xing Gao, Saurav Prakash, S. Lin Er Chow, Tsz Fung Poon, Mun K. Chan, David Graf, A. Ariando, Neil Harrison
https://arxiv.org/abs/2508.16290

Extreme magnetic field-boosted superconductivity in a high-temperature superconductor
Magnetic fields typically suppress superconductivity through Pauli and orbital limiting effects. However, there are rare instances of magnetic-field-induced superconductivity, as seen in Chevrel phase compounds [1], organic conductors [2], uranium-based heavy-fermion systems [3, 4], and moire graphene [5], though these materials possess inherently low superconducting transition temperatures (Tc). Here, we demonstrate high field-stabilized superconductivity in a class of materials with a signifi…

A LOFAR search for coherent radio emission accompanying prompt engine activity in gamma-ray bursts
A. Hennessy, R. L. C. Starling, A. Rowlinson, I. de Ruiter, A. J. van der Horst, G. E. Anderson, N. R. Tanvir, S. ter Veen, K. Wiersema, R. A. M. J. Wijers
https://arxiv.org/abs/2509.21142

A LOFAR search for coherent radio emission accompanying prompt engine activity in gamma-ray bursts
Relativistic jets generated in gamma-ray bursts (GRBs) produce luminous transient events, yet the fundamentals of jet composition and radiation mechanisms remain unclear. One means of identifying a magnetically-dominated outflow would be detection of prompt, coherent radio emission at low frequencies, and we are able to search for this using the LOw Frequency ARray (LOFAR) coupled with modelling of high energy pulses detected by the Neil Gehrels Swift Observatory (Swift). We present the rapid r…

Universal dynamics and microwave control of programmable cavity electro-optic frequency combs
Yunxiang Song, Tianqi Lei, Yanyun Xue, Andrea Cordaro, Michael Haas, Guanhao Huang, Xudong Li, Shengyuan Lu, Leticia Magalhaes, Jiayu Yang, Matthew Yeh, Xinrui Zhu, Neil Sinclair, Qihuang Gong, Yaowen Hu, Marko Loncar
https://arxiv.org/abs/2507.21…

Universal dynamics and microwave control of programmable cavity electro-optic frequency combs
Electro-optic (EO) frequency combs are foundational for metrology and spectroscopy. Specifically, microresonator-based cavity EO combs are distinguished by efficient sideband generation, precisely controlled by microwave signals, enabling high-performance integrated frequency references and pulse sources. However, the apparent simplicity of these devices, often described by the EO modulation-induced coupling of nearest-neighbor cavity modes, has limited investigations of their fundamental physi…

Phase Transition Dynamics Induced by Strong Radio-Frequency Fields in ReBCO High Temperature Superconductors
Ankur Dhar, Mitchell E. Schneider, Emilio A. Nanni, Jessica Golm, Patrick Krkoti\'c, Walter Wuensch, Sergio Calatroni, Neil Lamas, Teresa Puig, Joffre Gutierrez
https://arxiv.org/abs/2509.13668

Phase Transition Dynamics Induced by Strong Radio-Frequency Fields in ReBCO High Temperature Superconductors
Probing the dynamics of superconductor phase transitions induced by strong electromagnetic fields is vital to designing high power devices leveraging these materials. The development of high temperature superconductors (HTS) is particularly interesting due to critical temperatures ($T_c$) approaching 90 K, the ability to support high current densities, and their ability to operate in strong static magnetic fields. This work aims to determine the transition dynamics of these materials at radio-f…

NGC 6860, Mrk 915 and MCG -01-24-012. I. Spatial anti-correlation between cold molecular and ionized gas distributions in Seyfert galaxies
Bruno Dall'Agnol de Oliveira, Thaisa Storchi-Bergmann, Neil Nagar, Santiago Garcia-Burillo, Rogemar A. Riffel, Dominika Wylezalek, Pranav Kukreti, Venkatessh Ramakrishnan
https://arxiv.org/abs/2507.…

NGC 6860, Mrk 915 and MCG -01-24-012. I. Spatial anti-correlation between cold molecular and ionized gas distributions in Seyfert galaxies
We present a study of the cold molecular versus the ionized gas distribution in three nearby Seyfert galaxies: NGC 6860, Mrk 915 and MCG -01-24-012. To constrain the cold molecular flux distribution at $\sim$ 0.5 - 0.8$^{\prime\prime}$ ($\sim$ 150 - 400 pc) scales, we used data from the CO(2-1) emission line, obtained with the Atacama Large Millimeter/submillimeter Array (ALMA). For the ionized gas, we used Hubble Space Telescope (HST) narrow-band images, centered on the [O III]$λλ$4959,5007 …

Contributions to the Theory of Clifford-Cyclotomic Circuits
Linh Dinh (Dalhousie University), Neil J. Ross (Dalhousie University)
https://arxiv.org/abs/2508.14674 https://

Contributions to the Theory of Clifford-Cyclotomic Circuits
Let $n$ be a positive integer divisible by 8. The Clifford-cyclotomic gate set $\mathcal{G}_n$ consists of the Clifford gates, together with a $z$-rotation of order $n$. It is easy to show that, if a circuit over $\mathcal{G}_n$ represents a unitary matrix $U$, then the entries of $U$ must lie in $\mathcal{R}_n$, the smallest subring of $\mathbb{C}$ containing $1/2$ and $\mathrm{exp}(2πi/n)$. The converse implication, that every unitary $U$ with entries in $\mathcal{R}_n$ can be represented by…

A comparative study of time on Mars with lunar and terrestrial clocks
Neil Ashby, Bijunath R. Patla
https://arxiv.org/abs/2507.21388 https://arxiv.org/pdf/…

A comparative study of time on Mars with lunar and terrestrial clocks
As space exploration extends into cislunar space and further towards Mars, understanding the relativistic effects on clocks on Mars, particularly in relation to multibody gravitational influences, becomes increasingly important for accurate clock synchronization. This study estimates clock rates on Mars and compares them to those on the Moon and Earth. We find that, on average, clocks on Mars tick faster than those on the Earth's geoid by 477 microseconds per day, with a variation of 226 micros…

High-Precision Scale Setting with the Omega-Baryon Mass and Gradient Flow
Alexei Bazavov, Claude W. Bernard, David A. Clarke, Carleton DeTar, Aida X. El-Khadra, Elvira G\'amiz, Steven Gottlieb, Anthony V. Grebe, Urs M. Heller, Leon Hostetler, William I. Jay, Hwancheol Jeong, Andreas S. Kronfeld, Yin Lin, Shaun Lahert, Jack Laiho, Michael Lynch, Andrew T. Lytle, Aaron S. Meyer, Ethan T. Neil, Curtis T. Peterson, James N. Simone, Jacob W. Sitison, Ruth S. Van de Water, Alejandro Vaqu…

High-Precision Scale Setting with the Omega-Baryon Mass and Gradient Flow
The gradient-flow scale $w_0$ in lattice QCD is determined using the mass of the $Ω^-$ baryon to set the physical scale. Nine ensembles using the highly improved staggered quark (HISQ) action with lattice spacings of 0.15 fm down to 0.04 fm are used, seven of which have nearly physical light-quark masses. Electromagnetic corrections to the $Ω^-$ mass are defined in order to compute a pure-QCD $Ω$ mass. The final result is $w_0 = 0.17187(68)$ fm, corresponding to a relative uncertainty of 0.4…

Diving into the planetary system of Proxima with NIRPS -- Breaking the metre per second barrier in the infrared
Alejandro Su\'arez Mascare\~no, \'Etienne Artigau, Lucile Mignon, Xavier Delfosse, Neil J. Cook, Fran\c{c}ois Bouchy, Ren\'e Doyon, Jonay I. Gonz\'alez Hern\'andez, Thomas Vandal, Izan de Castro Le\~ao, Atanas K. Stefanov, Jo\~ao Faria, Charles Cadieux, Pierrot Lamontagne, Fr\'ed\'erique Baron, Susana C. C. Barros, Bj\"orn Benneke, Xavier Bonf…

Diving into the planetary system of Proxima with NIRPS -- Breaking the metre per second barrier in the infrared
We obtained 420 high-resolution spectra of Proxima, over 159 nights, using the Near Infra Red Planet Searcher (NIRPS). We derived 149 nightly binned radial velocity measurements with a standard deviation of 1.69 m/s and a median uncertainty of 55 cm/s, and performed a joint analysis combining radial velocities, spectroscopic activity indicators, and ground-based photometry, to model the planetary and stellar signals present in the data, applying multi-dimensional Gaussian process regression to …

Exploring the Relationship Between Swift Short Gamma-Ray Burst Afterglows and their Host Galaxy Properties
Cristian Castrejon (Northwestern, CIERA), Anya E. Nugent, Wen-fai Fong, Genevieve Schroeder, Alicia Rouco Escorial, Olivia Guerra
https://arxiv.org/abs/2508.20156

Exploring the Relationship Between Swift Short Gamma-Ray Burst Afterglows and their Host Galaxy Properties
We present a comprehensive compilation of short-duration gamma-ray burst (GRB) afterglows in the X-ray, optical, and radio bands, comprising 150 events discovered primarily by the Neil Gehrels Swift Observatory over 2005-2023. We pair these observations with uniformly modeled host galaxies to understand how broadband afterglow luminosities are influenced by their environmental properties. We compare the X-ray and optical afterglow luminosities at 3 hr with projected physical and host-normalized…

Meek Models Shall Inherit the Earth
Hans Gundlach, Jayson Lynch, Neil Thompson
https://arxiv.org/abs/2507.07931 https://arxiv.org/pdf…

Meek Models Shall Inherit the Earth
The past decade has seen incredible scaling of AI systems by a few companies, leading to inequality in AI model performance. This paper argues that, contrary to prevailing intuition, the diminishing returns to compute scaling will lead to a convergence of AI model capabilities. In other words, meek models (those with limited computation budget) shall inherit the earth, approaching the performance level of the best models overall. We develop a model illustrating that under a fixed-distribution n…

NIRPS detection of delayed atmospheric escape from the warm and misaligned Saturn-mass exoplanet WASP-69b
Romain Allart, Yann Carteret, Vincent Bourrier, Lucile Mignon, Frederique Baron, Charles Cadieux, Andres Carmona, Christophe Lovis, Hritam Chakraborty, Elisa Delgado-Mena, Etienne Artigau, Susana C. C. Barros, Bjorn Benneke, Xavier Bonfils, Francois Bouchy, Marta Bryan, Bruno L. Canto Martins, Ryan Cloutier, Neil J. Cook, Nicolas B. Cowan, Xavier Delfosse, Rene Doyon, Xavier Dumusq…

NIRPS detection of delayed atmospheric escape from the warm and misaligned Saturn-mass exoplanet WASP-69b
Near-infrared high-resolution echelle spectrographs unlock access to fundamental properties of exoplanets, from their atmospheric escape and composition to their orbital architecture, which can all be studied simultaneously from transit observations. We present the first results of the newly commissioned ESO near-infrared spectrograph, NIRPS, from three transits of WASP-69b. We used the RM Revolutions technique to better constrain the orbital architecture of the system. We extracted the high-re…

Extended Version: It Should Be Easy but... New Users Experiences and Challenges with Secret Management Tools
Lorenzo Neil, Deepthi Mungara, Laurie Williams, Yasemin Acar, Bradley Reaves
https://arxiv.org/abs/2509.09036

Extended Version: It Should Be Easy but... New Users Experiences and Challenges with Secret Management Tools
Software developers face risks of leaking their software secrets, such as API keys or passwords, which can result in significant harm. Secret management tools (SMTs), such as HashiCorp Vault Secrets or Infisical, are highly recommended by industry, academia, and security guidelines to manage secrets securely. SMTs are designed to help developers secure their secrets in a central location, yet secrets leaks are still commonplace, and developers report difficulty in learning how to setup and use …

Time Crystals in Actively Mode-locked Lasers
Ruiling Weng, Elias R. Koch, Jes\'us Yelo-Sarri\'on, Josep Batle, Neil G. R. Broderick, Julien Javaloyes, Svetlana V. Gurevich
https://arxiv.org/abs/2509.09230

Time Crystals in Actively Mode-locked Lasers
We report the first experimental observation of discrete time-crystal phases and crystallites in an actively mode-locked semiconductor laser. By tuning either the bias current or the modulation frequency, the system undergoes a spontaneous symmetry-breaking transition from the harmonically mode-locked state towards robust, highly coherent time-crystal states that persist indefinitely. Two equivalent time-crystal configurations, shifted by one driving period, can coexist as domains separated by …

Mitigating Watermark Stealing Attacks in Generative Models via Multi-Key Watermarking
Toluwani Aremu, Noor Hussein, Munachiso Nwadike, Samuele Poppi, Jie Zhang, Karthik Nandakumar, Neil Gong, Nils Lukas
https://arxiv.org/abs/2507.07871

Mitigating Watermark Stealing Attacks in Generative Models via Multi-Key Watermarking
Watermarking offers a promising solution for GenAI providers to establish the provenance of their generated content. A watermark is a hidden signal embedded in the generated content, whose presence can later be verified using a secret watermarking key. A threat to GenAI providers are \emph{watermark stealing} attacks, where users forge a watermark into content that was \emph{not} generated by the provider's models without access to the secret key, e.g., to falsely accuse the provider. Stealing …

The NANOGrav 15 yr Data Set: Targeted Searches for Supermassive Black Hole Binaries
Nikita Agarwal, Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy G. Baier, Paul T. Baker, Bence Becsy, Laura Blecha, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, Rand Burnette, Robin Case, J. Andrew Casey-Clyde, Yu-Ting Chang, Maria Charisi, Shami Chatterjee, Tyler Cohen, Paolo Coppi, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kat…

The NANOGrav 15 yr Data Set: Targeted Searches for Supermassive Black Hole Binaries
We present the first catalog of targeted searches for continuous gravitational waves (CWs) from 114 active galactic nuclei (AGN) that may host supermassive black hole binaries (SMBHBs), using the NANOGrav 15 yr data set. By incorporating electromagnetic priors on sky location, distance, redshift, and CW frequency, our strain and chirp mass upper limits are on average 2.6$\times$ more constraining than sky-averaged limits. Bayesian model comparisons against a common uncorrelated red noise for th…

Crosslisted article(s) found for stat.AP. https://arxiv.org/list/stat.AP/new
[1/1]:
- Risk-based framework to determine climate-informed design storms for road drainage infrastructure
Mohammad Fereshtehpour, Rashid Bashir, Neil F. Tandon

Strongly resonant polarization dynamics of pulse trains in a spin-flip model for an excitable microlaser with delayed self-feedback
Stefan Ruschel, Sylvain Barbay, Neil G. R. Broderick, Bernd Krauskopf
https://arxiv.org/abs/2508.13630

Strongly resonant polarization dynamics of pulse trains in a spin-flip model for an excitable microlaser with delayed self-feedback
Motivated by recent experimental observations concerning the polarization dynamics in an excitable microlaser with saturable absorber coupled to an external feedback mirror reported in [Ruschel et al. (2025) Opt. Lett. 50 (8) 2618], we propose here an in-depth theoretical investigation of the locked dynamics of regenerative vectorial pulse trains that this system produces. We perform a numerical bifurcation analysis of self-sustained pulse trains of a corresponding spin-flip model with delayed …

The radio flare and multi-wavelength afterglow of the short GRB 231117A: energy injection from a violent shell collision
G. E. Anderson, G. P. Lamb, B. P. Gompertz, L. Rhodes, A. Martin-Carrillo, A. J. van der Horst, A. Rowlinson, M. E. Bell, T. -W. Chen, H. M. Fausey, M. Ferro, P. J. Hancock, S. R. Oates, S. Schulze, R. L. C. Starling, S. Yang, K. Ackley, J. P. Anderson, A. Andersson, J. F. Ag\"u\'i Fern\'andez, R. Brivio, E. Burns, K. C. Chambers, T. de Boer, V. D'El…

The radio flare and multi-wavelength afterglow of the short GRB 231117A: energy injection from a violent shell collision
We present the early radio detection and multi-wavelength modeling of the short gamma-ray burst (GRB) 231117A at redshift $z=0.257$. The Australia Telescope Compact Array automatically triggered a 9-hour observation of GRB 231117A at 5.5 and 9 GHz following its detection by the Neil Gehrels Swift Observatory just 1.3 hours post-burst. Splitting this observation into 1-hour time bins, the early radio afterglow exhibited flaring, scintillating and plateau phases. The scintillation allowed us to p…