Tootfinder

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 …

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…

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 …

Quantifying thermal water dissociation in the dayside photosphere of WASP-121 b using NIRPS
Luc Bazinet, Romain Allart, Bj\"orn Benneke, Stefan Pelletier, Joost P. Wardenier, Neil J. Cook, Thierry Forveille, Louise D. Nielsen, Khaled Al Moulla, \'Etienne Artigau, Fr\'ed\'erique Baron, Susana C. C. Barros, Xavier Bonfils, Fran\c{c}ois Bouchy, Marta Bryan, Bruno L. Canto Martins, Ryan Cloutier, Nicolas B. Cowan, Daniel Brito de Freitas, Jose Renan De Medeiros, Xavier Del…

Quantifying thermal water dissociation in the dayside photosphere of WASP-121 b using NIRPS
The intense stellar irradiation of ultra-hot Jupiters results in some of the most extreme atmospheric environments in the planetary regime. On their daysides, temperatures can be sufficiently high for key atmospheric constituents to thermally dissociate into simpler molecular species and atoms. This dissociation drastically changes the atmospheric opacities and, in turn, critically alters the temperature structure, atmospheric dynamics, and day-night heat transport. To this date, however, simul…

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 …

Progress and new challenges in image-based profiling
Erik Serrano, John Peters, Jesko Wagner, Rebecca E. Graham, Zhenghao Chen, Brian Feng, Gisele Miranda, Alexandr A. Kalinin, Loan Vulliard, Jenna Tomkinson, Cameron Mattson, Michael J. Lippincott, Ziqi Kang, Divya Sitani, Dave Bunten, Srijit Seal, Neil O. Carragher, Anne E. Carpenter, Shantanu Singh, Paula A. Marin Zapata, Juan C. Caicedo, Gregory P. Way

Progress and new challenges in image-based profiling
For over two decades, image-based profiling has revolutionized cellular phenotype analysis. Image-based profiling processes rich, high-throughput, microscopy data into unbiased measurements that reveal phenotypic patterns powerful for drug discovery, functional genomics, and cell state classification. Here, we review the evolving computational landscape of image-based profiling, detailing current procedures, discussing limitations, and highlighting future development directions. Deep learning h…

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

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…

Replaced article(s) found for econ.EM. https://arxiv.org/list/econ.EM/new
[1/1]:
- Counting Defiers: A Design-Based Model of an Experiment Can Reveal Evidence Beyond the Average Ef...
Neil Christy, Amanda Ellen Kowalski

Replaced article(s) found for cs.LO. https://arxiv.org/list/cs.LO/new
[1/1]:
- On the Number of Quantifiers Needed to Define Boolean Functions
Marco Carmosino, Ronald Fagin, Neil Immerman, Phokion Kolaitis, Jonathan Lenchner, Rik Sengupta

Optical Design Pathways to Fluidic Space-Assembled Reflectors & Dual-Configuration Spectrographs for Characterizing Exo-Earths
Enrico Biancalani, Edward Balaban, Ruslan Belikov, Eduardo Bendek, Valeri Frumkin, Israel Gabay, Guangjun Gao, Qian Gong, Christine Gregg, Tyler Groff, Joseph Howard, Omer Luria, Michael McElwain, Lee Mundy, Rachel Ticknor, Sylvain Veilleux, Neil Zimmerman

Optical Design Pathways to Fluidic Space-Assembled Reflectors & Dual-Configuration Spectrographs for Characterizing Exo-Earths
$\textbf{Fluidic Telescopes}$ | We present a conceptual framework for optically designing space-assembled telescopes whose primary mirror is formed $\textit{in situ}$ via the enabling, scale-invariant technology of fluidic shaping. In-space assembly of optical reflectors can solve light-gathering aperture scaling, which currently limits space-borne optical telescopes. Our compass reduces the top-level optical design trade to three types of avenues -- a fluidic pathway, a legacy one buildin…

Symmetric versus antisymmetric strain tuning of the valence transition in Yb(In$_{1-x}$Ag$_x$)Cu$_4$
Caitlin I. O'Neil, Michelle Ocker, Kristin Kliemt, Cornelius Krellner, Elena Gati
https://arxiv.org/abs/2508.04212

Symmetric versus antisymmetric strain tuning of the valence transition in Yb(In$_{1-x}$Ag$_x$)Cu$_4$
Similar to transitions in a range of correlated quantum materials, the valence transition exhibits a strong coupling to the crystal lattice, rendering it highly sensitive to stress tuning. In the present work, we determine the effect of uniaxial stress, which breaks the lattice symmetry, on the valence transition temperature and its crossover temperature in pure and Ag-substituted YbInCu$_4$. Our key result is that hydrostatic stress is more effective in tuning this transition than uniaxial str…

Replaced article(s) found for math.RA. https://arxiv.org/list/math.RA/new
[1/1]:
- Additive subgroups of a module that are saturated with respect to a subset of the ring
Jesse Elliott, Neil Epstein

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…

Ecosystem Recovery to Historical Targets Becomes Unattainable Under Modelled Fishing and Climate in the Barents Sea
Matthew Hatton, Jack H Laverick, Neil Banas, Michael Heath
https://arxiv.org/abs/2510.04806

Ecosystem Recovery to Historical Targets Becomes Unattainable Under Modelled Fishing and Climate in the Barents Sea
Climate change and fisheries jointly shape the resilience of the Barents Sea marine ecosystem, yet the recovery of key fish populations to climate and anthropogenic disturbances requires further investigation. This study examines how fishing pressure and climate change, driven by the NEMO-MEDUSA Earth system model, influence the recovery times of Demersal and Planktivorous fish in the Barents Sea. We used the StrathE2EPolar end-to-end ecosystem model to simulate transient dynamics under increas…

Generative Recommendation with Semantic IDs: A Practitioner's Handbook
Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah
https://arxiv.org/abs/2507.22224

Generative Recommendation with Semantic IDs: A Practitioner's Handbook
Generative recommendation (GR) has gained increasing attention for its promising performance compared to traditional models. A key factor contributing to the success of GR is the semantic ID (SID), which converts continuous semantic representations (e.g., from large language models) into discrete ID sequences. This enables GR models with SIDs to both incorporate semantic information and learn collaborative filtering signals, while retaining the benefits of discrete decoding. However, varied mod…

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…

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

Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- Machine Learning Systems: A Survey from a Data-Oriented Perspective
Christian Cabrera, Andrei Paleyes, Pierre Thodoroff, Neil D. Lawrence

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…

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…

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…

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…

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 …

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…

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…

Replaced article(s) found for cs.CR. https://arxiv.org/list/cs.CR/new
[1/1]:
- Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong