Tootfinder

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

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

Requirements for Active Assistance of Natural Questions in Software Architecture
Diogo Lemos, Ademar Aguiar, Neil B. Harrison
https://arxiv.org/abs/2506.23898

Requirements for Active Assistance of Natural Questions in Software Architecture
Natural questions are crucial to shaping key architectural decisions and preserving architectural knowledge. They arise organically during the architectural design process, often resulting from the existing architectural experience of the designer and the distinctive characteristics of the system being designed. However, natural questions are often mismanaged or ignored, which can lead to architectural drift, knowledge loss, inefficient resource use, or poor understandability of the system's ar…

Replaced article(s) found for math.DS. https://arxiv.org/list/math.DS/new
[1/1]:
- Learning dynamical systems from data: Gradient-based dictionary optimization
Mohammad Tabish, Neil K. Chada, Stefan Klus

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…

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…

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…

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 …

Replaced article(s) found for math.CA. https://arxiv.org/list/math.CA/new
[1/1]:
- Discrete maximal operators and pinned simplices
Neil Lyall, Akos Magyar, Alex Newman, Peter Woolfitt

The LHCb Sprucing and Analysis Productions
Ahmed Abdelmotteleb, Alessandro Bertolin, Chris Burr, Ben Couturier, Ellinor Eckstein, Davide Fazzini, Nathan Grieser, Christophe Haen, Ryunosuke O'Neil, Eduardo Rodrigues, Nicole Skidmore, Mark Smith, Aidan R. Wiederhold, Shunan Zhang
https://arxiv.org/abs/2506.20309

The LHCb Sprucing and Analysis Productions
The LHCb detector underwent a comprehensive upgrade in preparation for the third data-taking run of the Large Hadron Collider (LHC), known as LHCb Upgrade I. The increased data rate of Run 3 not only posed data collection (Online) challenges but also significant Offline data processing and analysis ones. The offline processing and analysis model was consequently upgraded to handle the factor 30 increase in data volume and the associated demands of ever-growing analyst-level datasets, led by the…

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…

A Spectral Energy Distribution Variability Study of the Eclipsing AGN NGC 6814
L. K. Pothier-Bogoslowski, L. C. Gallo, A. G. Gonzalez, M. Z. Buhariwalla, J. M. Miller
https://arxiv.org/abs/2506.07212

A Spectral Energy Distribution Variability Study of the Eclipsing AGN NGC 6814
The local Seyfert 1.5 active galactic nucleus (AGN), NGC 6814, is known to exhibit complex variability, eclipses, and even changing-look behaviour. In this work, we utilize optical-to-X-ray data obtained over 10-years with the Neil Gehrels Swift Observatory to examine the short-term (i.e. daily) and long-term (yearly) variations in the spectral energy distribution (SED). This includes three epochs of high-cadence monitoring (2012, 2016, and 2022), as well as two single observations (2019 and 20…

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

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 …

Replaced article(s) found for q-bio.GN. https://arxiv.org/list/q-bio.GN/new
[1/1]:
- Terrier: A Deep Learning Repeat Classifier
Robert Turnbull, Neil D. Young, Edoardo Tescari, Lee F. Skerratt, Tiffany A. Kosch

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