Tootfinder

Guardian interview with Joshua Aaron, developer of the Ice Block app. His wife, who had worked for DOJ for 10 years, was fired after Kristi Noem and Pam Bondi complained about his app.
You can easily bypass the subscription request.
https://www.theguardian.com/us-news/2025/a

QB Ground State Energy Estimation Benchmark
Nicole Bellonzi, Joshua T. Cantin, Mohammad Reza Jangrouei, Alexander Kunitsa, Jason Necaise, Nam Nguyen, John Penuel, Maxwell D. Radin, Jhonathan Romero Fontalvo, Rashmi Sundareswara, Linjun Wang, Thomas Watts, Yanbing Zhou, Michael C. Garrett, Adam Holmes, Artur F. Izmaylov, Matthew Otten
https://

QB Ground State Energy Estimation Benchmark
Ground State Energy Estimation (GSEE) is a central problem in quantum chemistry and condensed matter physics, demanding efficient algorithms to solve complex electronic structure calculations. This work introduces a structured benchmarking framework for evaluating the performance of both classical and quantum solvers on diverse GSEE problem instances. We assess three prominent methods -- Semistochastic Heat-Bath Configuration Interaction (SHCI), Density Matrix Renormalization Group (DMRG), and …

$gg \to ZH$ : updated predictions at NLO QCD
Benjamin Campillo Aveleira, Long Chen, Joshua Davies, Giuseppe Degrassi, Pier Paolo Giardino, Ramona Gr\"ober, Gudrun Heinrich, Stephen Jones, Matthias Kerner, Johannes Schlenk, Matthias Steinhauser, Marco Vitti
https://arxiv.org/abs/2508.09905

$gg \to ZH$ : updated predictions at NLO QCD
We present state-of-the-art predictions for the inclusive cross section of gluon-initiated $ZH$ production, following the recommendations of the LHC Higgs Working Group. In particular, we include NLO QCD corrections, where the virtual corrections are obtained from the combination of a forward expansion and a high-energy expansion, and the real corrections are exact. The expanded results for the virtual corrections are compared in detail to full numerical results. The updated predictions show a …

Free-running vs. Synchronous: Single-Photon Lidar for High-flux 3D Imaging
Ruangrawee Kitichotkul, Shashwath Bharadwaj, Joshua Rapp, Yanting Ma, Alexander Mehta, Vivek K Goyal
https://arxiv.org/abs/2507.09386

Free-running vs. Synchronous: Single-Photon Lidar for High-flux 3D Imaging
Conventional wisdom suggests that single-photon lidar (SPL) should operate in low-light conditions to minimize dead-time effects. Many methods have been developed to mitigate these effects in synchronous SPL systems. However, solutions for free-running SPL remain limited despite the advantage of reduced histogram distortion from dead times. To improve the accuracy of free-running SPL, we propose a computationally efficient joint maximum likelihood estimator of the signal flux, the background fl…

Ext operators for wreath Macdonald polynomials
Seamus Albion Ferlinc, Joshua Jeishing Wen
https://arxiv.org/abs/2508.10772 https://arxiv.org/pdf/2508.10772…

Ext operators for wreath Macdonald polynomials
We introduce a wreath Macdonald polynomial analogue of the Carlsson--Nekrasov--Okounkov vertex operator. As an application, we prove a modular $(q,t)$-Nekrasov--Okounkov formula for $r\ge 3$ originally conjectured by Walsh and Warnaar.

Strong NUV Refractory Absorption and Dissociated Water in the Hubble Transmission Spectrum of the Ultra Hot Jupiter KELT-20 b
Yayaati Chachan, Joshua Lothringer, Julie Inglis, Hayley Beltz, Heather A. Knutson, Jessica Spake, Bjorn Benneke, Ian Wong, Zafar Rustamkulov, David Sing, Katherine A. Bennett
https://arxiv.org/abs/2508.10092…

Strong NUV Refractory Absorption and Dissociated Water in the Hubble Transmission Spectrum of the Ultra Hot Jupiter KELT-20 b
Ultra hot Jupiters (UHJs) present a promising pathway for drawing a link between a planet's composition and formation history. They retain both refractory and volatiles species in gas phase in their atmospheres, which allows us to place unique constraints on their building blocks. Here, we present the 0.2 - 1.7 $μ$m transmission spectrum of KELT-20 b/MASCARA-2 b taken with the Hubble Space Telescope (HST). Unlike other UHJs around early-type stars, KELT-20 b's orbit is well aligned with its ho…

Isochronal Phase Reduction and Speed Correction of a Pulse in a Stochastic Kinematic Model
Joshua A. McGinnis, Xinbo Li, Toshiyuki Ogawa, Yoichiro Mori
https://arxiv.org/abs/2508.09455

Isochronal Phase Reduction and Speed Correction of a Pulse in a Stochastic Kinematic Model
We develop a method for computing the stochastic wave speed of pulse solutions in kinematic equations subject to small stochastic forcing based on the isochronal phase reduction. These kinematic equations arise as the singular limit of sharp pulse solutions in the FitzHugh-Nagumo system, and our approach contributes a new perspective and method to the growing body of work on stochastic wave propagation in excitable media. The method yields an effective Itô process for the wave's position. The …

Interesting study of eastern Joshua tree mycorrhizal associations from trees near the Dome Fire burn in Mojave National Preserve, with sampling stratified by season
#ecology #mutualism #JoshuaTree …

The Atacama Cosmology Telescope: High-redshift measurement of structure growth from the cross-correlation of Quaia quasars and CMB lensing from ACT DR6 and $\textit{Planck}$ PR4
Carmen Embil Villagra, Gerrit Farren, Giulio Fabbian, Boris Bolliet, Irene Abril-Cabezas, David Alonso, Anthony Challinor, Jo Dunkley, Joshua Kim, Niall MacCrann, Fiona McCarthy, Kavilan Moodley, Frank J. Qu, Blake Sherwin, Cristobal Sifon, Alexander van Engelen, Edward J. Wollack

The Atacama Cosmology Telescope: High-redshift measurement of structure growth from the cross-correlation of Quaia quasars and CMB lensing from ACT DR6 and $\textit{Planck}$ PR4
We measure the amplitude of matter fluctuations over a wide range of redshifts by combining CMB lensing observations from ACT DR6 and $\textit{Planck}$ PR4 with the overdensity of quasars from Quaia, a $\textit{Gaia}$ and $\textit{unWISE}$ quasar catalog. Our analysis includes the CMB lensing power spectrum from ACT DR6, the auto-correlation of two Quaia quasar samples centered at $z \simeq 1.0$ and $z \simeq 2.1$, and their cross-correlations with CMB lensing from both ACT DR6 and $\textit{Pla…

Studying Exoplanets in the Radio from the Moon
Jake D. Turner, Jack O. Burns, David Rapetti, Philippe Zarka, Jean-Mathias Grie{\ss}meier, Judd Bowman, Gregg Hallinan, Joshua Hibbard, Johnny Dorigo Jones, Laurent Lamy, Corentin K. Louis, Richard Lovelace, Nivedita Mahesh, Ronald Polidan, Xiang Zhang
https://arxiv.org/abs/2508.09222

Studying Exoplanets in the Radio from the Moon
Exoplanets with and without a magnetic field are predicted to form, behave, and evolve very differently. Therefore, there is great need to directly constrain these fields to holistically understand the properties of exoplanets including their potential habitability. This goal aligns with the Astro2020 Decadal Survey recommendations. Observing planetary auroral radio emissions is among the most promising detection methods, but decades of searching have yet to yield a conclusive detection, though…

Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements
Derek Benham, Easton Potokar, Joshua G. Mangelson
https://arxiv.org/abs/2506.10850

Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements
Autonomous surface vessels (ASVs) are increasingly vital for marine science, offering robust platforms for underwater mapping and inspection. Accurate state estimation, particularly of vehicle pose, is paramount for precise seafloor mapping, as even small surface deviations can have significant consequences when sensing the seafloor below. To address this challenge, we propose an Invariant Extended Kalman Filter (InEKF) framework designed to integrate partial orientation measurements. While con…

#SilentSunday #JoshuaTreeNationalPark #SoCal

Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
Calvin Isley, Joshua Gilbert, Evangelos Kassos, Michaela Kocher, Allen Nie, Emma Brunskill, Ben Domingue, Jake Hofman, Joscha Legewie, Teddy Svoronos, Charlotte Tuminelli, Sharad Goel
https://arxiv.org/abs/2508.08314

Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
While large language models (LLMs) challenge conventional methods of teaching and learning, they present an exciting opportunity to improve efficiency and scale high-quality instruction. One promising application is the generation of customized exams, tailored to specific course content. There has been significant recent excitement on automatically generating questions using artificial intelligence, but also comparatively little work evaluating the psychometric quality of these items in real-wo…

Learning The Minimum Action Distance
Lorenzo Steccanella, Joshua B. Evans, \"Ozg\"ur \c{S}im\c{s}ek, Anders Jonsson
https://arxiv.org/abs/2506.09276

Learning The Minimum Action Distance
This paper presents a state representation framework for Markov decision processes (MDPs) that can be learned solely from state trajectories, requiring neither reward signals nor the actions executed by the agent. We propose learning the minimum action distance (MAD), defined as the minimum number of actions required to transition between states, as a fundamental metric that captures the underlying structure of an environment. MAD naturally enables critical downstream tasks such as goal-conditi…

A Framework for FAIR and CLEAR Ecological Data and Knowledge: Semantic Units for Synthesis and Causal Modelling
Lars Vogt, Birgitta K\"onig-Ries, Tim Alamenciak, Joshua I. Brian, Carlos Alberto Arnillas, Lotte Korell, Robert Fr\"uhst\"uckl, Tina Heger
https://arxiv.org/abs/2508.08959…

A Framework for FAIR and CLEAR Ecological Data and Knowledge: Semantic Units for Synthesis and Causal Modelling
Ecological research increasingly relies on integrating heterogeneous datasets and knowledge to explain and predict complex phenomena. Yet, differences in data types, terminology, and documentation often hinder interoperability, reuse, and causal understanding. We present the Semantic Units Framework, a novel, domain-agnostic semantic modelling approach applied here to ecological data and knowledge in compliance with the FAIR (Findable, Accessible, Interoperable, Reusable) and CLEAR (Cognitively…

Ultracategories via Kan extensions of relative monads
Umberto Tarantino, Joshua Wrigley
https://arxiv.org/abs/2506.09788 https://arxi…

Ultracategories via Kan extensions of relative monads
Many structured categories of interest are most naturally described as algebras for a relative monad, but turn out nonetheless to be algebras for an ordinary monad. We show that, under suitable hypotheses, the left oplax Kan extension of a relative 2-monad on categories yields a pseudomonad having the same category of colax algebras. In particular, we apply this to the study of ultracategories to recover the 'ultracompletion' pseudomonad.

SN 2023uqf: An Interacting Supernova Coincident with a High-Energy Neutrino
Robert Stein, Anna Y. Q. Ho, Anjasha Gangopadhyay, Tomas Ahumada, Mansi M. Kasliwal, Jannis Necker, Simeon Reusch, Marek Kowalski, Anna Franckowiak, Jesper Sollerman, Kohta Murase, Igor Andreoni, Eric C. Bellm, Joshua Bloom, Sean J. Brennan, Liam Connor, Michael W. Coughlin, Richard Dekany, Andrew Drake, Christoffer Fremling, Ariel Goobar, Matthew J. Graham, Steven L. Groom, Theophile Jegou du Laz, Daniel Perle…

SN 2023uqf: An Interacting Supernova Coincident with a High-Energy Neutrino
Astrophysical high-energy (TeV-PeV) neutrinos were first discovered in 2013, but their origin remains largely unknown. Here we present SN 2023uqf, a supernova found in coincidence with high-energy neutrino IC231004A, as part of a systematic optical follow-up program with the Zwicky Transient Facility. SN 2023uqf had a luminous and rapidly-evolving lightcurve, and spectroscopic observations indicated that the source was a Type Ibn supernova. Spectroscopic signatures confirm ongoing interaction b…

Symbolic Execution in Practice: A Survey of Applications in Vulnerability, Malware, Firmware, and Protocol Analysis
Joshua Bailey, Charles Nicholas
https://arxiv.org/abs/2508.06643

Symbolic Execution in Practice: A Survey of Applications in Vulnerability, Malware, Firmware, and Protocol Analysis
Symbolic execution is a powerful program analysis technique that allows for the systematic exploration of all program paths. Path explosion, where the number of states to track becomes unwieldy, is one of the biggest challenges hindering symbolic execution's practical application. To combat this, researchers have employed various strategies to enable symbolic execution on complex software systems. This paper introduces a systematic taxonomy of these strategies, categorizing them into two primar…

Additional JWST/NIRSpec Transits of the Rocky M Dwarf Exoplanet GJ 1132 b Reveal a Featureless Spectrum
Katherine A. Bennett, Ryan J. MacDonald, Sarah Peacock, Junellie Perez, E. M. May, Sarah E. Moran, Lili Alderson, Jacob Lustig-Yaeger, Hannah R. Wakeford, David K. Sing, Kevin B. Stevenson, Natasha E. Batalha, Mercedes L\'opez-Morales, Munazza K. Alam, Joshua D. Lothringer, Guangwei Fu, James Kirk, Jeff A. Valenti, L. C. Mayorga, Kristin S. Sotzen

Additional JWST/NIRSpec Transits of the Rocky M Dwarf Exoplanet GJ 1132 b Reveal a Featureless Spectrum
As an archetypal M-dwarf rocky exoplanet, GJ 1132 b has a varied history of atmospheric measurements. At 1.13 $\rm R_{\oplus}$, 1.66 $\rm M_{\oplus}$, and 580 K, it orbits a bright, slowly rotating M dwarf in a 1.6-day period, making it a prime target for characterization. In this study, we combine two JWST NIRSpec/G395H transits previously reported by May and MacDonald et al. 2023 with two new NIRSpec/G395M transits to constrain the presence of an atmosphere. This marks the first time the G395…

Fantasy football 2025 dynasty sleepers, from Jameson Williams to Joshua Palmer https://www.nytimes.com/athletic/6538352/2025/08/07/fantasy-football-dynasty-sleepers-jameson-williams/

Complete characterization of $2$-near perfect numbers with exactly 2 prime factors
Richard Fearon, Henry Foushee, Benjamin Porosoff, Alexander Skula, Joshua Zelinsky, Kyle Zhang
https://arxiv.org/abs/2508.06651

Complete characterization of $2$-near perfect numbers with exactly 2 prime factors
Let $σ(n)$ be the sum of the positive divisors of $n$. A positive integer $n$ is said to be $2$-near perfect when $σ(n)=2n+d_1+d_2$, where $d_1$ and $d_2$ are distinct positive divisors of $n$. We show that there are no odd $2$-near perfect numbers with exactly two prime factors, and that all even $2$-near perfect numbers (i.e. those of the form $2^kp^m$, where $p$ is an odd prime) belong to a specific family, provided that $m$ is at least 3. In combination with prior work, these results prod…

Real Preferences Under Arbitrary Norms
Joshua Zeitlin, Corinna Coupette
https://arxiv.org/abs/2508.09046 https://arxiv.org/pdf/2508.09046

Real Preferences Under Arbitrary Norms
Whether the goal is to analyze voting behavior, locate facilities, or recommend products, the problem of translating between (ordinal) rankings and (numerical) utilities arises naturally in many contexts. This task is commonly approached by representing both the individuals doing the ranking (voters) and the items to be ranked (alternatives) in a shared metric space, where ordinal preferences are translated into relationships between pairwise distances. Prior work has established that any colle…

Trump's Judicial Nominees Cannot Wait to Make LGBTQ People Second-Class Citizens (JP Collins/Balls and Strikes)
https://ballsandstrikes.org/nominations/trump-judicial-nominees-eric-tung-joshua-dunlap/
http://www.memeorandum.com/250805/p66#a250805p66

Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals
Joshua Murphy, Conor Rosato, Andrew Millard, Lee Devlin, Paul Horridge, Simon Maskell
https://arxiv.org/abs/2507.07461

Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals
When performing Bayesian inference using Sequential Monte Carlo (SMC) methods, two considerations arise: the accuracy of the posterior approximation and computational efficiency. To address computational demands, Sequential Monte Carlo Squared (SMC$^2$) is well-suited for high-performance computing (HPC) environments. The design of the proposal distribution within SMC$^2$ can improve accuracy and exploration of the posterior as poor proposals may lead to high variance in importance weights and …

Uncertainty quantification of a multi-component Hall thruster model at varying facility pressures
Thomas A. Marks, Joshua D. Eckels, Gabriel E. Mora, Alex A. Gorodetsky
https://arxiv.org/abs/2507.08113

Uncertainty quantification of a multi-component Hall thruster model at varying facility pressures
Bayesian inference is applied to calibrate and quantify prediction uncertainty in a coupled multi-component Hall thruster model at varying facility background pressures. The model, consisting of a cathode model, discharge model, and plume model, is used to simulate two thrusters across a range of background pressures in multiple vacuum test facilities. The model outputs include thruster performance metrics, one-dimensional plasma properties, and the angular distribution of the current density i…

🇺🇦 #NowPlaying on BBCRadio3's #RoundMidnight
Joshua Redman:
🎵 Borrowed Eyes
#JoshuaRedman
https://open.spotify.com/track/7hw0gTEglwLIXdnvd35Cu1

The watery atmosphere of HD~209458~b revealed by joint $K$- and $L$-band high-resolution spectroscopy
Luke Finnerty, Julie Inglis, Michael P. Fitzgerald, Daniel Echeverri, Nemanja Jovanovic, Dimitri Mawet, Geoffrey A. Blake, Ashley Baker, Randall Bartos, Benjamin Calvin, Sylvain Cetre, Jacques-Robert Delorme, Greg Doppmann, Katelyn Horstman, Chih-Chun Hsu, Joshua Liberman, Ronald A. L\'opez, Evan Morris, Jacklyn Pezzato-Rovner, Jean-Baptiste Ruffio, Ben Sappey, Tobias Schofield, An…

The watery atmosphere of HD~209458~b revealed by joint $K$- and $L$-band high-resolution spectroscopy
We present a joint analysis of high-resolution $K$- and $L$-band observations of the benchmark hot Jupiter \hdb\ from the Keck Planet Imager and Characterizer (KPIC). One half night of observations were obtained in each bandpass covering similar pre-eclipse phases. The two epochs were then jointly analyzed using our atmospheric retrieval pipeline based on \petit\ to constrain the atmospheric pressure-temperature profile and chemical composition. Consistent with recent results from \textit{JWST}…

Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
Nicholas Summerfield, Qisheng He, Alex Kuo, Ahmed I. Ghanem, Simeng Zhu, Chase Ruff, Joshua Pan, Anudeep Kumar, Prashant Nagpal, Jiwei Zhao, Ming Dong, Carri K. Glide-Hurst
https://arxiv.org/abs/2506.10797

Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
Cardiac substructures are essential in thoracic radiation therapy planning to minimize risk of radiation-induced heart disease. Deep learning (DL) offers efficient methods to reduce contouring burden but lacks generalizability across different modalities and overlapping structures. This work introduces and validates a Modality-AGnostic Image Cascade (MAGIC) for comprehensive and multi-modal cardiac substructure segmentation. MAGIC is implemented through replicated encoding and decoding branches…

The Richness of CSP Non-redundancy
Joshua Brakensiek, Venkatesan Guruswami, Bart M. P. Jansen, Victor Lagerkvist, Magnus Wahlstr\"om
https://arxiv.org/abs/2507.07942

The Richness of CSP Non-redundancy
In the field of constraint satisfaction problems (CSP), a clause is called redundant if its satisfaction is implied by satisfying all other clauses. An instance of CSP$(P)$ is called non-redundant if it does not contain any redundant clause. The non-redundancy (NRD) of a predicate $P$ is the maximum number of clauses in a non-redundant instance of CSP$(P)$, as a function of the number of variables $n$. Recent progress has shown that non-redundancy is crucially linked to many other important que…

Majority bootstrap percolation on the permutahedron and other high-dimensional graphs
Maur\'icio Collares, Joshua Erde, Anna Geisler, Mihyun Kang
https://arxiv.org/abs/2507.06597

Majority bootstrap percolation on the permutahedron and other high-dimensional graphs
Majority bootstrap percolation is a model of infection spreading in networks. Starting with a set of initially infected vertices, new vertices become infected once half of their neighbours are infected. Balogh, Bollobás and Morris studied this process on the hypercube and showed that there is a phase transition as the density of the initially infected set increases. Generalising their results to a broad class of high-dimensional graphs, the authors of this work established similar bounds on th…

🇺🇦 #NowPlaying on #BBC6Music's #CraigCharles
Yttling Jazz, Joshua Idehen & Saturday, Monday:
🎵 Illegal Hit Edit
#YttlingJazz #JoshuaIdehen #Saturday #Monday

Extracting Information About Publication Venues Using Citation-Informed Transformers
Brian D. Zimmerman, Joshua Folkins, Olga Vechtomova
https://arxiv.org/abs/2506.08199

Extracting Information About Publication Venues Using Citation-Informed Transformers
Scientific document embeddings contain a variety of rich features which can be harnessed for downstream tasks such as recommendation, ranking, and clustering. We explore which tangible insights can be drawn from scientific document embeddings to understand trends in computer science research featured across nine well-known venues. We collect approximately 60,000 scientific documents published between 2015 and 2023 and analyze their embeddings, which we produce with the SPECTER pre-trained langu…

A long time ago in an LAE far, far away: a signpost of early reionization or a nascent AGN at $z=13$?
Joshua Cohon, Christopher Cain, Rogier Windhorst, Anson D'Aloisio, Timothy Carleton, Yongda Zhu
https://arxiv.org/abs/2508.05739

A long time ago in an LAE far, far away: a signpost of early reionization or a nascent AGN at $z=13$?
The JADES survey recently reported the discovery of JADES-GS-z13-1-LA at $z = 13$, the highest redshift Ly$α$ emitter (LAE) ever observed. This observation suggests that either the intergalactic medium (IGM) surrounding JADES-GS-z13-1-LA is highly ionized, or the galaxy's intrinsic Ly$α$ emission properties are extreme. We use radiative transfer simulations of reionization that capture the distribution of ionized gas in the $z = 13$ IGM to investigate the implications of JADES-GS-z13-1-LA for…

A June ranking of the top 25 local public radio/TV websites in the US based on traffic shows MPR at the top, followed by LAist and Oregon Public Broadcasting (Joshua Benton/Nieman Lab)
https://www.niemanlab.org/2025/08/these-pu

These public radio stations have built online audiences that’ll help them survive federal cuts
They may have been born on the airwaves, but these public media stations compete on the web as well. Here's our first monthly ranking of the top 25 local public media websites in the United States.

The parabolic split-type Monge-Ampere on split tangent bundle surfaces
Joshua Jordan
https://arxiv.org/abs/2507.07084 https://arxiv.o…

The parabolic split-type Monge-Ampere on split tangent bundle surfaces
We introduce a parabolic analogue of the elliptic split-type Monge-Ampère equation developed by Fang and the author, extending Streets' twisted Monge-Ampère equation. The resulting equation is fully nonlinear and non-concave. We prove long-time existence for equations whose exponents are not too far apart and give conditions for convergence to the twisted Monge-Ampère when the exponents approach each other. Applications include long-time convergence on Kähler backgrounds and reduction to th…

Physics-Guided Dual Implicit Neural Representations for Source Separation
Yuan Ni, Zhantao Chen, Alexander N. Petsch, Edmund Xu, Cheng Peng, Alexander I. Kolesnikov, Sugata Chowdhury, Arun Bansil, Jana B. Thayer, Joshua J. Turner
https://arxiv.org/abs/2507.05249

Physics-Guided Dual Implicit Neural Representations for Source Separation
Significant challenges exist in efficient data analysis of most advanced experimental and observational techniques because the collected signals often include unwanted contributions--such as background and signal distortions--that can obscure the physically relevant information of interest. To address this, we have developed a self-supervised machine-learning approach for source separation using a dual implicit neural representation framework that jointly trains two neural networks: one for app…

This is one of the better articles I’ve seen on where AI might lead, trying to find a middle ground between “it’s a load of hype” and “it’s going to solve world hunger/kill us all”.
A choice quote:
Which is it: business as usual or the end of the world? “The test of a first-rate intelligence,” F. Scott Fitzgerald famously claimed, “is the ability to hold two opposed ideas in the mind at the same time, and still retain the ability to function.” Reading these reports back-to-back,…

Two Paths for A.I.
Joshua Rothman on two papers about the future of A.I., by deeply knowledgeable experts, which arrive at absurdly divergent conclusions about the threat the tech poses.

Strain dependent viscous response describes the mechanics of cohesionless soft granular materials
Chandan Shakya, Luca Placidi, Anil Misra, Lars Kool, Anke Lindner, Jasper van der Gucht, Joshua A. Dijksman
https://arxiv.org/abs/2506.08855

Strain dependent viscous response describes the mechanics of cohesionless soft granular materials
Granular materials are ubiquitous in nature and are used extensively in daily life and in industry. The modeling of these materials remains challenging; therefore, finding models with acceptable predictive accuracy that at the same time also reflect the complexity of the granular dynamics is a central research theme in the field. Soft particle packings present additional modeling challenges, as it has become clear that soft particles also have particle-level relaxation timescales that affect th…

Threatening investigations on spurious grounds:
The most recent example is the government’s attack on CNN
for its reporting about an app called #ICEBlock that alerts users to sightings of ICE agents nearby.
“Border czar” Tom Homan called on the Department of Justice to investigate CNN for its reporting,
and Department of Homeland Security Secretary Kristi Noem said her agency is w…

‘I wanted to do something to fight back’: This iPhone app alerts users to nearby ICE sightings
Joshua Aaron has worked in and around the tech industry for around two decades. He built his first app — a blackjack game — at computer camp when he was 13.

Whole-Person Education for AI Engineers
Rubaina Khan, Tammy Mackenzie, Sreyoshi Bhaduri, Animesh Paul, Branislav Radelji\'c, Joshua Owusu Ansah, Beyza Nur Guler, Indrani Bhaduri, Rodney Kimbangu, Nils Ever Murrugarra Llerena, Hayoung Shin, Lilianny Virguez, Rosa Paccotacya Yanque, Thomas Mekha\"el, Allen Munoriyarwa, Leslie Salgado, Debarati Basu, Curwyn Mapaling, Natalie Perez, Yves Gaudet, Paula Larrondo

Whole-Person Education for AI Engineers
This autoethnographic study explores the need for interdisciplinary education spanning both technical and philosophical skills - as such, this study leverages whole-person education as a theoretical approach needed in AI engineering education to address the limitations of current paradigms that prioritize technical expertise over ethical and societal considerations. Drawing on a collaborative autoethnography approach of fourteen diverse stakeholders, the study identifies key motivations driving…

Remarks on multi-period martingale optimal transport
Brendan Pass, Joshua Hiew
https://arxiv.org/abs/2506.05505 https://arxiv.org/pdf…

Remarks on multi-period martingale optimal transport
We study the structural properties of multi-period martingale optimal transport (MOT). We develop new tools to address these problems, and use them to prove several uniqueness and structural results on three-period martingale optimal transport. More precisely, we establish lemmas on how and when two-period martingale couplings may be glued together to obtain multi-period martingales and which among these glueings are optimal for particular MOT problems. We use these optimality results to study …

On the theories classified by an \'etendue
Joshua Wrigley
https://arxiv.org/abs/2507.04526 https://arxiv.org/pdf/2507.04526

On the theories classified by an étendue
We give a model-theoretic characterisation of the geometric theories classified by étendues -- the `locally localic' topoi. They are the theories where each model is determined, syntactically and semantically, by any witness of a fixed collection of formulae.

A Benchmark for Databases with Varying Value Lengths
Danushka Liyanage, Shubham Pandey, Joshua Goldstein, Michael Cahill, Akon Dey, Alan Fekete, Uwe R\"ohm
https://arxiv.org/abs/2508.07551

A Benchmark for Databases with Varying Value Lengths
The performance of database management systems (DBMS) is traditionally evaluated using benchmarks that focus on workloads with (almost) fixed record lengths. However, some real-world workloads in key/value stores, document databases, and graph databases exhibit significant variability in value lengths, which can lead to performance anomalies, particularly when popular records grow disproportionately large. Existing benchmarks fail to account for this variability, leaving an important aspect of …

Cosmological Histories in Neutrino Portal Dark Matter
Amro E. B. Abdelrahim, Brian Batell, Joshua Berger, David McKeen, Barmak Shams Es Haghi
https://arxiv.org/abs/2506.09137

Cosmological Histories in Neutrino Portal Dark Matter
We explore the diverse cosmological histories of a dark sector that is connected to the Standard Model (SM) via a Dirac sterile neutrino. The dark sector consists of a complex scalar and a Dirac fermion dark matter (DM) candidate protected by a global $U(1)$ stabilizing symmetry. Assuming the dark sector has negligible initial abundance and is populated from reactions in the SM thermal plasma during the radiation era, we show that the cosmological histories of the dark sector fall into four qua…

Electrically reconfigurable nonvolatile flatband absorbers in the mid-infrared with wide spectral tuning range
Romil Audhkhasi, Virat Tara, Matthew Klein, Andrew Tang, Rui Chen, Shivashankar Vangala, Joshua R. Hendrickson, Arka Majumdar
https://arxiv.org/abs/2506.07258

Electrically reconfigurable nonvolatile flatband absorbers in the mid-infrared with wide spectral tuning range
While recent advances in reconfigurable photonics have provided new avenues for manipulating light on the subwavelength scale, on-demand control of infrared absorption remains elusive. Here, we experimentally demonstrate a plasmonic metasurface based on the phase change material Ge2Sb2Te5 with in-situ electrically-switchable infrared absorption in the 3-5 microns wavelength range. Unlike traditional infrared microstructures based on volatile phase change materials, our device does not require t…

Generalized Sierpi\'{n}ski and Riesel numbers of the form $tb^t \alpha$
Hailey Evans, Joshua Harrington, Kendall Heiney, Maggie Wieczorek
https://arxiv.org/abs/2508.05942 ht…

Generalized Sierpiński and Riesel numbers of the form $tb^t+α$
Let $b\geq 2$ be an integer. We call an integer $k$ a $b$-Sierpiński number if $\gcd(k+1,b-1)=1$ and $k\cdot b^n+1$ is composite for all positive integers $n$. We similarly call $k$ a $b$-Riesel number if $\gcd(k-1,b-1)=1$ and $k\cdot b^n-1$ is composite for all positive integers $n$. An integer that is simultaneously $b$-Sierpiński and $b$-Riesel is called a $b$-Brier number. In this article, we show that for any integer $α\neq 0$, there are infinitely many $b$-Sierpiński numbers and infin…

Functional Architecture of the Human Hypothalamus: Cortical Coupling and Subregional Organization Using 7-Tesla fMRI
Kent M. Lee, Joshua Rodriguez, Ludger Hartley, Philip A. Kragel, Lorena Chanes, Tor D. Wager, Karen S. Quigley, Lawrence L. Wald, Marta Bianciardi, Lisa Feldman Barrett, Jordan E. Theriault, Ajay B. Satpute
https://

Functional Architecture of the Human Hypothalamus: Cortical Coupling and Subregional Organization Using 7-Tesla fMRI
The hypothalamus plays an important role in the regulation of the bodys metabolic state and behaviors related to survival. Despite its importance however, many questions exist regarding the intrinsic and extrinsic connections of the hypothalamus in humans, especially its relationship with the cortex. As a heterogeneous structure, it is possible that the hypothalamus is composed of different subregions, which have their own distinct relationships with the cortex. Previous work on functional conn…

Sure thing, Heggy. But first, we’re going to need a pig and a live TV feed.
#auspol #uspol #BlackMirror

Binomial edge ideals of crown graphs
Arvind Kumar, Joshua Pomeroy, Le Tran
https://arxiv.org/abs/2507.03889 https://arxiv.org/pdf/250…

Binomial edge ideals of crown graphs
In this article, we explore the class of graphs for which the projective dimension of the quotient of the binomial edge ideals matches the big height of that ideal. Additionally, we investigate the Vasconcelos number of binomial edge ideals for cycles and crown graphs. We also provide proof for [Conjecture 4.13, 3], which is related to the Vasconcelos number of binomial edge ideals for cycles.

Trump doubles reward to $50 million for arrest of Venezuela's president to face US drug charges (Joshua Goodman/Associated Press)
https://apnews.com/article/venezuela-fbi-bondi-justice-department-0e618369ca68b79b1a2143a95955344a
http://www.memeorandum.com/250807/p164#a250807p164

Algorithmic Analysis of GTFS-RT vehicle position accuracy
Joshua Wong
https://arxiv.org/abs/2506.06479 https://arxiv.org/pdf/2506.064…

Algorithmic Analysis of GTFS-RT vehicle position accuracy
This paper presents three novel algorithms for calculating geodesic intersections on an ellipsoid. These algorithms are applied in a case study analyzing real-time transit data in California to assess vehicle position drift. The analysis reveals that while certain data anomalies can be corrected, large-scale discrepancies persist. The paper concludes by proposing a set of practical solutions that can be implemented by either data producers or consumers to significantly improve positional accura…

Oppenheimer protesterer over streamingtjeneste https://www.ekkofilm.dk/artikler/mubi-oppenheimer/

Oppenheimer protesterer over streamingtjeneste
Joshua Oppenheimer og Aki Kaurismäki er blandt 35 filmskabere, der opfordrer arthouse-streamingtjenesten Mubi til at droppe investor med bånd til det israelske militær.

A new paper projecting Joshua tree habitat under future climate based on incredibly high-resolution distribution data, from Joshua Tree Genome Project collaborators at USGS. They estimate up to 80% loss of suitable habitat by 2100 under the worst-case climate scenario.
#JoshuaTree #science

Trustworthy scientific inference for inverse problems with generative models
James Carzon, Luca Masserano, Joshua D. Ingram, Alex Shen, Antonio Carlos Herling Ribeiro Junior, Tommaso Dorigo, Michele Doro, Joshua S. Speagle, Rafael Izbicki, Ann B. Lee
https://arxiv.org/abs/2508.02602

Trustworthy scientific inference for inverse problems with generative models
Generative artificial intelligence (AI) excels at producing complex data structures (text, images, videos) by learning patterns from training examples. Across scientific disciplines, researchers are now applying generative models to ``inverse problems'' to infer hidden parameters from observed data. While these methods can handle intractable models and large-scale studies, they can also produce biased or overconfident conclusions. We present a solution with Frequentist-Bayes (FreB), a mathemati…

Understanding Visually Impaired Tramway Passengers Interaction with Public Transport Systems
Dominik Mimra, Dominik Kaar, Enrico Del Re, Novel Certad, Joshua Cherian Varughese, David Seibt, Cristina Olaverri-Monreal
https://arxiv.org/abs/2506.03687

Understanding Visually Impaired Tramway Passengers Interaction with Public Transport Systems
Designing inclusive public transport services is crucial to developing modern, barrier-free smart city infrastructure. This research contributes to the design of inclusive public transport by considering accessibility challenges emerging from socio-technical systems, thus demanding the integration of technological and social solutions. Using Actor-Network Theory (ANT) as a theoretical framework and a mixed-method approach, including shadowing and a focus group, this study examines the socio-tec…

DSNS: The Deep Space Network Simulator
Joshua Smailes, Filip Futera, Sebastian K\"ohler, Simon Birnbach, Martin Strohmeier, Ivan Martinovic
https://arxiv.org/abs/2508.04317

DSNS: The Deep Space Network Simulator
Simulation tools are commonly used in the development and testing of new protocols or new networks. However, as satellite networks start to grow to encompass thousands of nodes, and as companies and space agencies begin to realize the interplanetary internet, existing satellite and network simulation tools have become impractical for use in this context. We therefore present the Deep Space Network Simulator (DSNS): a new network simulator with a focus on large-scale satellite networks. We dem…

Using Code Snippets to Teach Programming Languages
Joshua Akingbade, Jianhua Yang, Mir Seyedebrahimi
https://arxiv.org/abs/2506.00404 https://

Using Code Snippets to Teach Programming Languages
Coding is a fundamental skill required in the engineering discipline, and much work exists exploring better ways of teaching coding in the higher education context. In particular, Code Snippets (CSs) are approved to be an effective way of introducing programming language units to students. CSs are portions of source code of varying size and content. They can be used in a myriad of ways, one of which is to teach the code they contain as well as its function. To further explore the use of CSs, a …

Kilobyte-Scale, Selector-Free, Temperature-Hard AlScN Ferroelectric Diode Crossbar Arrays
Zirun Han, Chao-Chuan Chen, Dhiren K. Pradhan, David C. Moore, Ravali Gudavalli, Xindi Yang, Kwan-Ho Kim, Hyunmin Cho, Zachary Anderson, Spencer Ware, Harsh Yellai, W. Joshua Kennedy, Nicholas R. Glavin, Roy H. Olsson III, Deep Jariwala
https://

Kilobyte-Scale, Selector-Free, Temperature-Hard AlScN Ferroelectric Diode Crossbar Arrays
We report the fabrication and characterization of kilobyte-scale, selector-free, ferroelectric (FE) diode crossbar memory arrays based on aluminum scandium nitride (AlScN). Utilizing a fully CMOS back-end-of-line (BEOL) compatible process, we fabricated 2-kilobyte (128 $\times$ 128) arrays with device diameters down to 5 $μ$m, achieving memory densities up to 2500 bits/mm$^2$. Large-scale electrical characterization across 1000 randomly selected devices reveals a yield rate of 95.2%, a tight s…

What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Matthew Kam, Cody Miller, Miaoxin Wang, Abey Tidwell, Irene A. Lee, Joyce Malyn-Smith, Beatriz Perez, Vikram Tiwari, Joshua Kenitzer, Andrew Macvean, Erin Barrar
https://arxiv.org/abs/2506.00202…

What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Generative AI is showing early evidence of productivity gains for software developers, but concerns persist regarding workforce disruption and deskilling. We describe our research with 21 developers at the cutting edge of using AI, summarizing 12 of their work goals we uncovered, together with 75 associated tasks and the skills & knowledge for each, illustrating how developers use AI at work. From all of these, we distilled our findings in the form of 5 insights. We found that the skills & know…

"So no matter what happens, Eric Adams isn't going ANYWHERE."
Oh man. Is that a threat? 😬
https://bsky.app/profile/did:plc:qrllvid7s54k4hnwtqxwetrf/post/3luq5e6i62k2k

The Gap-Giant Association: Are Planets Hiding in the Gaps?
Caleb Lammers, Joshua N. Winn
https://arxiv.org/abs/2506.10969 https://arx…

The Gap-Giant Association: Are Planets Hiding in the Gaps?
A handful of stars are known to host both an inner system of multiple transiting planets and an outer giant planet. These systems all feature a prominent gap between the orbits of two of the transiting planets, distinguishing them from typical multiplanet systems with more uniform orbital spacings. The reason for the association between inner gaps and outer giants is unknown. In this paper, we assess whether undiscovered planets might occupy these gaps in systems with outer giants. For each of …

"#Serendipity is generally defined as the accidental discovery of something valuable while searching for something else. It’s also a hotly contested component of the library research process: is it a failure of #library systems or facilitated by the physical design of libraries, the cat…

Feature Geometry for Stereo Sidescan and Forward-looking Sonar
Kalin Norman, Joshua G. Mangelson
https://arxiv.org/abs/2507.05410 https://

Feature Geometry for Stereo Sidescan and Forward-looking Sonar
In this paper, we address stereo acoustic data fusion for marine robotics and propose a geometry-based method for projecting observed features from one sonar to another for a cross-modal stereo sonar setup that consists of both a forward-looking and a sidescan sonar. Our acoustic geometry for sidescan and forward-looking sonar is inspired by the epipolar geometry for stereo cameras, and we leverage relative pose information to project where an observed feature in one sonar image will be found i…

Prospective Learning in Retrospect
Yuxin Bai, Cecelia Shuai, Ashwin De Silva, Siyu Yu, Pratik Chaudhari, Joshua T. Vogelstein
https://arxiv.org/abs/2507.07965 https://arxiv.org/pdf/2507.07965 https://arxiv.org/html/2507.07965
arXiv:2507.07965v1 Announce Type: new
Abstract: In most real-world applications of artificial intelligence, the distributions of the data and the goals of the learners tend to change over time. The Probably Approximately Correct (PAC) learning framework, which underpins most machine learning algorithms, fails to account for dynamic data distributions and evolving objectives, often resulting in suboptimal performance. Prospective learning is a recently introduced mathematical framework that overcomes some of these limitations. We build on this framework to present preliminary results that improve the algorithm and numerical results, and extend prospective learning to sequential decision-making scenarios, specifically foraging. Code is available at: https://github.com/neurodata/prolearn2.
toXiv_bot_toot

SATversary: Adversarial Attacks on Satellite Fingerprinting
Joshua Smailes, Sebastian K\"ohler, Simon Birnbach, Martin Strohmeier, Ivan Martinovic
https://arxiv.org/abs/2506.06119

SATversary: Adversarial Attacks on Satellite Fingerprinting
As satellite systems become increasingly vulnerable to physical layer attacks via SDRs, novel countermeasures are being developed to protect critical systems, particularly those lacking cryptographic protection, or those which cannot be upgraded to support modern cryptography. Among these is transmitter fingerprinting, which provides mechanisms by which communication can be authenticated by looking at characteristics of the transmitter, expressed as impairments on the signal. Previous works s…

Not a rickroll.
https://fed.brid.gy/r/https://bsky.app/profile/did:plc:qrllvid7s54k4hnwtqxwetrf/post/3lspl4j4fls2h

Exoplanet Atmospheric Escape Observations with the Habitable Worlds Observatory
Leonardo A. Dos Santos, Eric D. Lopez, Luca Fossati, Antonio Garc\'ia Mu\~noz, Shingo Kameda, Munazza K. Alam, Keighley Rockcliffe, Seth Redfield, Yuichi Ito, Joshua Lothringer, Shreyas Vissapragada, Hannah R. Wakeford, Apurva V. Oza, Girish M. Duvvuri, Raissa Estrela, Ryoya Sakata, Chuanfei Dong, Ziyu Huang

Exoplanet Atmospheric Escape Observations with the Habitable Worlds Observatory
The Decadal Survey on Astronomy and Astrophysics 2020 highlights the importance of advancing research focused on discovering and characterizing habitable worlds. In line with this priority, our goal is to investigate how planetary systems evolve through atmospheric escape and to develop methods for identifying potentially Earth-like planets. By leveraging the ultraviolet (UV) capabilities of the Habitable Worlds Observatory (HWO), we can use transit spectroscopy to observe atmospheric escape in…

Concrete Security Bounds for Simulation-Based Proofs of Multi-Party Computation Protocols
Kristina Sojakova, Mihai Codescu, Joshua Gancher
https://arxiv.org/abs/2507.22705 https…

Concrete Security Bounds for Simulation-Based Proofs of Multi-Party Computation Protocols
The concrete security paradigm aims to give precise bounds on the probability that an adversary can subvert a cryptographic mechanism. This is in contrast to asymptotic security, where the probability of subversion may be eventually small, but large enough in practice to be insecure. Fully satisfactory concrete security bounds for Multi-Party Computation (MPC) protocols are difficult to attain, as they require reasoning about the running time of cryptographic adversaries and reductions. In this…

Joshua J. Friedman: "NY gov Kathy Hochul says she is working with state police to secure at-risk sites in the wake of the Iran bombings" — Bluesky
https://bsky.app/profile/did:plc:qrllvid7s54k4hnwtqxwetrf/post/3ls5vsh4cp22h

Optically Overluminous Tidal Disruption Events: Outflow Properties and Implications for Extremely Relativistic Disruptions
Yuhan Yao, Kate D. Alexander, Wenbin Lu, Jean J. Somalwar, Vikram Ravi, Ryan Chornock, Raffaella Margutti, Daniel A. Perley, James C. A. Miller-Jones, Paz Beniamini, Nayana A. J., Joshua S. Bloom, Collin T. Christy, Matthew J. Graham, Steven L. Groom, Erica Hammerstein, George Helou, Mansi M. Kasliwal, S. R. Kulkarni, Russ R. Laher, Ashish A. Mahabal, J\'er\…

Optically Overluminous Tidal Disruption Events: Outflow Properties and Implications for Extremely Relativistic Disruptions
Recent studies suggest that tidal disruption events (TDEs) with off-axis jets may manifest as optically overluminous events. To search for jet signatures at late times, we conducted radio observations of eight such optically overluminous ($M_{g, \rm peak} < -20.8$ mag) TDEs with the Very Large Array. We detect radio counterparts in four events. The observed radio luminosities ($L_{\rm 6 GHz} \sim 10^{38}$--$10^{39}$ erg s$^{-1}$) are two orders of magnitude lower than those of on-axis jetted TD…

Why Trump probably can't cut Musk loose (Joshua Keating/Vox)
https://www.vox.com/politics/415780/musk-trump-spacex-nasa-starlink-golden-dome
http://www.memeorandum.com/250606/p121#a250606p121

Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological change
Adrian Rauchfleisch, Joshua Philip Suarez, Nikka Marie Sales, Andreas Jungherr
https://arxiv.org/abs/2507.06876

Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological change
Public product launches in Artificial Intelligence can serve as focusing events for collective attention, surfacing how societies react to technological change. Social media provide a window into the sensemaking around these events, surfacing hopes and fears and showing who chooses to engage in the discourse and when. We demonstrate that public sensemaking about AI is shaped by economic interests and cultural values of those involved. We analyze 3.8 million tweets posted by 1.6 million users ac…

The proposed sell-off of federal lands in the Senate budget bill includes a LOT of Joshua tree habitat—the trees grow in some of the largest areas of undeveloped land in the lower 48 states
The place where eastern and western Joshua trees hybridize, north of Creech AFB, is included
#JoshuaTree #USpolitics

Transport of soft matter in complex and confined environments
Joshua D Mcgraw (IPGG)
https://arxiv.org/abs/2506.05884 https://arxiv.o…

Transport of soft matter in complex and confined environments
Brownian motion provides a bedrock for the understanding of soft condensed matter and, therefore, of the physical description of the microscopic biological world. Inspired by this domain, and combining softness with hydrodynamic energy inputs, new physical modes of nanoscale organization and transport may now be accessible.

A June ranking of the top nonprofit US news sites by traffic shows The Conversation leading by far, followed by the Salt Lake Tribune and ProPublica (Joshua Benton/Nieman Lab)
https://www.niemanlab.org/2025/07/nonprofi

Nonprofit news sites are built to generate impact — but these are also generating audiences
In markets large and small, these nonprofit news organizations are achieving traffic numbers that many commercial outlets would envy. Here's our first monthly ranking of the top 25 nonprofit news sites in the United States.

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/5]:
- Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks
Georgios Makrygiorgos, Joshua Hang Sai Ip, Ali Mesbah

An HTR-LLM Workflow for High-Accuracy Transcription and Analysis of Abbreviated Latin Court Hand
Joshua D. Isom
https://arxiv.org/abs/2507.04132 https://…

An HTR-LLM Workflow for High-Accuracy Transcription and Analysis of Abbreviated Latin Court Hand
This article presents and validates an ideal, four-stage workflow for the high-accuracy transcription and analysis of challenging medieval legal documents. The process begins with a specialized Handwritten Text Recognition (HTR) model, itself created using a novel "Clean Ground Truth" curation method where a Large Language Model (LLM) refines the training data. This HTR model provides a robust baseline transcription (Stage 1). In Stage 2, this baseline is fed, along with the original document i…

Do Rocky Planets around M Stars Have Atmospheres? A Statistical Approach to the Cosmic Shoreline
Jegug Ih, Eliza M. -R. Kempton, Hannah Diamond-Lowe, Joshua Krissansen-Totton, Megan Weiner Mansfield, Qiao Xue, Nicholas Wogan, Matthew C. Nixon, Benjamin J. Hord
https://arxiv.org/abs/2508.08253

Do Rocky Planets around M Stars Have Atmospheres? A Statistical Approach to the Cosmic Shoreline
Answering the question "do rocky exoplanets around M stars have atmospheres?" is a key science goal of the JWST mission, with 500 hours of Director's Discretionary Time (DDT) awarded to address it. Theoretically, the so-called "Cosmic Shoreline" may not hold around M stars due to their harsher XUV environment, possibly resulting in most rocky planets lacking significant atmospheres -- a hypothesis that remains to be statistically tested through judicious target selection. We identify target sel…

A Highly Available GTFS-RT Positions System
Joshua Wong, Kin Tsang
https://arxiv.org/abs/2508.01121 https://arxiv.org/pdf/2508.01121

A Highly Available GTFS-RT Positions System
We develop a system for real-time public transportation data, deciding to use the data standard GTFS-RT (GTFS Realtime), an open data format for public transit data. We give an overview of the design of a physical GPS sensor device, its firmware, and processes. Next, we give the algorithms used to translate raw sensor data into a public GTFS-RT data feed. We deploy this feed over a highly available cluster across multiple regions to maintain high availability.

A double selection entanglement distillation-based state estimator
Joshua Carlo A. Casapao, Ananda G. Maity, Naphan Benchasattabuse, Michal Hajdu\v{s}ek, Akihito Soeda, Rodney Van Meter, David Elkouss
https://arxiv.org/abs/2505.24280

A double selection entanglement distillation-based state estimator
With the advent of practical quantum communication networks drawing closer, there is a growing need for reliable estimation protocols that can efficiently characterize quantum resources with minimum resource overhead requirement. A novel approach to this problem is to integrate an estimator into an existing network task, thereby removing the need for an additional characterization protocol. In this work, we show that the measurement statistics of a double selection distillation protocol alone c…

Indoor Sharing in the Mid-Band: A Performance Study of Neutral-Host, Cellular Macro, and Wi-Fi
Joshua Roy Palathinkal, Muhammad Iqbal Rochman, Vanlin Sathya, Mehmet Yavuz, Monisha Ghosh
https://arxiv.org/abs/2506.04974

Indoor Sharing in the Mid-Band: A Performance Study of Neutral-Host, Cellular Macro, and Wi-Fi
Indoor environments present a significant challenge for wireless connectivity, as immense data demand strains traditional solutions. Public Mobile Network Operators (MNOs), utilizing outdoor macro base stations (BSs), suffer from poor signal penetration. Indoor Wi-Fi networks, on the other hand, may face reliability issues due to spectrum contention. Shared spectrum models, particularly the Citizens Broadband Radio Service (CBRS) utilized by private 4G/5G networks, have emerged as a promising a…

The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art
Prerana Khatiwada, Joshua Washington, Tyler Walsh, Ahmed Saif Hamed, Lokesh Bhatta
https://arxiv.org/abs/2507.05549

The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art
As Artificial Intelligence (AI) continues to grow daily, more exciting (and somewhat controversial) technology emerges every other day. As we see the advancements in AI, we see more and more people becoming skeptical of it. This paper explores the complications and confusion around the ethics of generative AI art. We delve deep into the ethical side of AI, specifically generative art. We step back from the excitement and observe the impossible conundrums that this impressive technology produces…

A second-generation star in a relic dwarf galaxy
Anirudh Chiti, Vinicius M. Placco, Andrew B. Pace, Alexander P. Ji, Deepthi S. Prabhu, William Cerny, Guilherme Limberg, Guy S. Stringfellow, Alex Drlica-Wagner, Kaia R. Atzberger, Yumi Choi, Denija Crnojevi\'c, Peter S. Ferguson, Nitya Kallivayalil, Noelia E. D. No\"el, Alexander H. Riley, David J. Sand, Joshua D. Simon, Alistair R. Walker, Clecio R. Bom, Julio A. Carballo-Bello, David J. James, Clara E. Mart\'inez-V\'a…

Rethinking Analytical Processing in the GPU Era
Bobbi Yogatama, Yifei Yang, Kevin Kristensen, Devesh Sarda, Abigale Kim, Adrian Cockcroft, Yu Teng, Joshua Patterson, Gregory Kimball, Wes McKinney, Weiwei Gong, Xiangyao Yu
https://arxiv.org/abs/2508.04701

Rethinking Analytical Processing in the GPU Era
The era of GPU-powered data analytics has arrived. In this paper, we argue that recent advances in hardware (e.g., larger GPU memory, faster interconnect and IO, and declining cost) and software (e.g., composable data systems and mature libraries) have removed the key barriers that have limited the wider adoption of GPU data analytics. We present Sirius, a prototype open-source GPU-native SQL engine that offers drop-in acceleration for diverse data systems. Sirius treats GPU as the primary engi…

A real-time search for Type Ia Supernovae with late-time CSM interaction in ZTF
Jacco H. Terwel, Kate Maguire, Se\'an J. Brennan, Llu\'is Galbany, Simeon Reusch, Steve Schulze, Niilo Koivisto, Tapio Pursimo, Samuel Grund S{\o}rensen, Mar\'ia Alejandra D\'iaz Teodori, Astrid Guldberg Theil, Mikael Turkki, Tom\'as E. M\"uller-Bravo, Umut Burgaz, Young-Lo Kim, Joshua S. Bloom, Matthew J. Graham, Mansi M. Kasliwal, Shri R. Kulkarni, Frank J. Masci, Josiah Purdum, O…

A real-time search for Type Ia Supernovae with late-time CSM interaction in ZTF
The nature of Type Ia supernova (SN Ia) progenitor systems and the mechanisms that lead up to their explosions are still widely debated. In rare cases the SN ejecta interact with circumstellar material (CSM) that was ejected from the progenitor system prior to the SN. The unknown distance between the CSM and SN explosion site makes it impossible to predict when the interaction will start. If the time between the SN and start of CSM interaction is of the order of months to years the SN has gener…

Rigid Spheres Rising at Constant Speed Through Collections of Hydrogels
Tom Mullin, Tommaso Pettinari, Joshua A. Dijksman
https://arxiv.org/abs/2507.03964 …

Rigid Spheres Rising at Constant Speed Through Collections of Hydrogels
We present the results of an experimental investigation into buoyant rigid spheres rising through concentrated collections of hydrated hydrogel particles. The volume fraction of particles is such that the mechanical properties of the material are intermediate between a very viscous fluid and a soft solid. Despite the non-Newtonian character of these hydrogels, we find that when the surface of the material is free, an immersed buoyant sphere rises with a constant speed. The effects of the motion…

An accurate measurement of the spectral resolution of the JWST Near Infrared Spectrograph
Anowar J. Shajib, Tommaso Treu, Alejandra Melo, Shawn Knabel, Michele Cappellari, Joshua A. Frieman
https://arxiv.org/abs/2507.03746

An accurate measurement of the spectral resolution of the JWST Near Infrared Spectrograph
The spectral resolution ($R \equiv λ/ Δλ$) of spectroscopic data is crucial information for accurate kinematic measurements. In this letter, we present a robust measurement of the spectral resolution for the JWST's Near Infrared Spectrograph (NIRSpec) in all its modes: fixed slit (FS), integral field spectroscopy (IFS), and multi-object spectroscopy (MOS). We modeled H and He lines of the planetary nebula SMP LMC 58 using a Gaussian line spread function (LSF) to estimate the wavelength-depen…

Guided Generation for Developable Antibodies
Siqi Zhao, Joshua Moller, Porfi Quintero-Cadena, Lood van Niekerk
https://arxiv.org/abs/2507.02670 https://

Guided Generation for Developable Antibodies
Therapeutic antibodies require not only high-affinity target engagement, but also favorable manufacturability, stability, and safety profiles for clinical effectiveness. These properties are collectively called `developability'. To enable a computational framework for optimizing antibody sequences for favorable developability, we introduce a guided discrete diffusion model trained on natural paired heavy- and light-chain sequences from the Observed Antibody Space (OAS) and quantitative developa…

TOI-1259Ab: A Warm Jupiter Orbiting a K-dwarf White-Dwarf Binary is on a Well-aligned Orbit
Hugo Veldhuis, Juan I. Espinoza-Retamal, Gudmundur Stefansson, Alexander P. Stephan, David V. Martin, David Bruijne, Suvrath Mahadevan, Joshua N. Winn, Cullen H. Blake, Fei Dai, Rachel B. Fernandes, Evan Fitzmaurice, Eric B. Ford, Mark R. Giovinazzi, Arvind F. Gupta, Samuel Halverson, Te Han, Daniel Krolikowski, Joe Ninan, Cristobal Petrovich, Paul Robertson, Arpita Roy, Christian Schwab, Ryan T…

TOI-1259Ab: A Warm Jupiter Orbiting a K-dwarf White-Dwarf Binary is on a Well-aligned Orbit
The evolution of one member of a stellar binary into a white dwarf has been proposed as a mechanism that triggers the formation of close-in gas giant planets. The star's asymmetric mass loss during the AGB stage gives it a "kick" that can initiate Eccentric Lidov-Kozai oscillations, potentially causing a planet around the secondary star to migrate inwards and perturbing the eccentricity and inclination of its orbit. Here we present a measurement of the stellar obliquity of TOI-1259Ab, a gas gia…

Empowering Manufacturers with Privacy-Preserving AI Tools: A Case Study in Privacy-Preserving Machine Learning to Solve Real-World Problems
Xiaoyu Ji, Jessica Shorland, Joshua Shank, Pascal Delpe-Brice, Latanya Sweeney, Jan Allebach, Ali Shakouri
https://arxiv.org/abs/2507.01808

Empowering Manufacturers with Privacy-Preserving AI Tools: A Case Study in Privacy-Preserving Machine Learning to Solve Real-World Problems
Small- and medium-sized manufacturers need innovative data tools but, because of competition and privacy concerns, often do not want to share their proprietary data with researchers who might be interested in helping. This paper introduces a privacy-preserving platform by which manufacturers may safely share their data with researchers through secure methods, so that those researchers then create innovative tools to solve the manufacturers' real-world problems, and then provide tools that execu…

On Demographic Transformation: Why We Need to Think Beyond Silos
Nicholle Mae Amor Tan Maravilla, Myles Joshua Toledo Tan
https://arxiv.org/abs/2507.03129 …

On Demographic Transformation: Why We Need to Think Beyond Silos
Developed nations are undergoing a profound demographic transformation, characterized by rapidly aging populations and declining birth rates. This dual trend places unprecedented strain on healthcare systems, economies, and social support structures, creating complex biological, economic, and social challenges. This paper argues that current, often siloed, policy responses, such as pronatalist initiatives that overlook the equally urgent needs of older adults, are inadequate for addressing thes…

A further investigation on covering systems with odd moduli
Chris Bispels, Matthew Cohen, Joshua Harrington, Joshua Lowrance, Kaelyn Pontes, Leif Schaumann, Tony W. H. Wong
https://arxiv.org/abs/2507.16135

A further investigation on covering systems with odd moduli
Erdős first introduced the idea of covering systems in 1950. Since then, much of the work in this area has concentrated on identifying covering systems that meet specific conditions on their moduli. Among the central open problems in this field is the well-known odd covering problem. In this paper, we investigate a variant of that problem, where one odd integer is permitted to appear multiple times as a modulus in the covering system, while all remaining moduli are distinct odd integers greate…

Complementary Planetary Spectroscopy Probes of Dark Matter
Carlos Blanco, Rebecca K. Leane, Marianne Moore, Joshua Tong
https://arxiv.org/abs/2508.00980 https://

Complementary Planetary Spectroscopy Probes of Dark Matter
We investigate dark matter (DM) interactions via spectroscopic signatures of energy injection in planetary environments. We develop a general framework to account for how DM energy injection signals depend on the DM spatial distribution, planetary structure, and DM energy deposition profile. We combine UV airglow data on the Solar System's gas giants from the Voyager and New Horizons flybys, and ionospheric measurements from AMS-02 and ELFIN CubeSat on Earth, with internal heat flow data from C…

Analysis: seven Advance Local papers in places like Harrisburg, Birmingham, and Syracuse ranked in the top 11 US local newspapers by online traffic in June 2025 (Joshua Benton/Nieman Lab)
https://www.niemanlab.org/2025/07/how-…

Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
Luning Zhao, Joshua J. Goings, Willie Aboumrad, Andrew Arrasmith, Lazaro Calderin, Spencer Churchill, Dor Gabay, Thea Harvey-Brown, Melanie Hiles, Magda Kaja, Matthew Keesan, Karolina Kulesz, Andrii Maksymov, Mei Maruo, Mauricio Mu\~noz, Bas Nijholt, Rebekah Schiller, Yvette de Sereville, Amy Smidutz, Felix Tripier, Grace Yao, Trishal Zaveri, Coleman Collins, Martin Roetteler, …

Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
We demonstrate an end-to-end workflow to model chemical reaction barriers with the quantum-classical auxiliary field quantum Monte Carlo (QC-AFQMC) algorithm with quantum tomography using matchgate shadows. The workflow operates within an accelerated quantum supercomputing environment with the IonQ Forte quantum computer and NVIDIA GPUs on Amazon Web Services. We present several algorithmic innovations and an efficient GPU-accelerated execution, which achieves a several orders of magnitude spee…

This time, it's Trump's war (Joshua Keating/Vox)
https://www.vox.com/world-politics/417460/iran-attack-trump-war
http://www.memeorandum.com/250622/p10#a250622p10

A lot to celebrate in the lab at the end of the school year — students at commencement, and a campus award for our paper presenting a reconstruction of Joshua tree flowering activity since the early 20th century
https://lab.jbyoder.org/2025/05/22/commence…

A Frequentist Simulation-Based Inference Treatment of Sterile Neutrino Global Fits
Joshua Villarreal, Julia Woodward, John Hardin, Janet Conrad
https://arxiv.org/abs/2507.01153

A Frequentist Simulation-Based Inference Treatment of Sterile Neutrino Global Fits
A critical challenge in particle physics is combining results from diverse experimental setups that measure the same physical quantity to enhance precision and statistical power, a process known as a global fit. Global fits of sterile neutrino searches, hunts for additional neutrino oscillation frequencies and amplitudes, present an intriguing case study. In such a scenario, the key assumptions underlying Wilks' theorem, a cornerstone of most classic frequentist analyses, do not hold. The metho…

On Dust Devil Diameters, Occurrence Rates, and Activity
Brian Jackson, Lori Fenton, Ralph Lorenz, Chelle Szurgot, Joshua Gambill, Gwendolyn Arzaga
https://arxiv.org/abs/2507.03643

On Dust Devil Diameters, Occurrence Rates, and Activity
As a phenomenon that occurs on Earth and on Mars, the diameter of a dust devil helps determine the amount of dust the devil injects into the atmosphere for both worlds -- for a given dust flux density (dust lifted per area per time), a wider devil will lift more dust into the air. However, the factors that determine a dust devil's diameter $D$ and how it might relate to ambient conditions have remained unclear. Moreover, estimating the contribution to an atmospheric dust budget from a populatio…

Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Large Language Models
Philip Quirke, Narmeen Oozeer, Chaithanya Bandi, Amir Abdullah, Jason Hoelscher-Obermaier, Jeff M. Phillips, Joshua Greaves, Clement Neo, Fazl Barez, Shriyash Upadhyay
https://arxiv.org/abs/2506.00051

Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Large Language Models
This position paper argues that the prevailing trajectory toward ever larger, more expensive generalist foundation models controlled by a handful of big companies limits innovation and constrains progress. We challenge this approach by advocating for an "Expert Orchestration" framework as a superior alternative that democratizes LLM advancement. Our proposed framework intelligently selects from thousands of existing models based on query requirements and decomposition, focusing on identifying w…