Tootfinder

Ukraine to mass produce long-range Flamingo missile in winter, Zelensky says: https://benborges.xyz/2025/08/21/ukraine-to-mass-produce-longrange.html

I recently saw a news story (CHEK News, Victoria, Porter Air) about a couple denied boarding because they could not produce the credit card used to book the flight.
According to experts, this was illegal in Canadian law. The airline's “tariff" — the actual contract between air carrier and passenger — had no such requirement.
The Canadian Transportation Agency lists the tariffs for 116 airlines. Might be worth having one literally in your back pocket when you fly.
https://otc-cta.gc.ca/eng/air-carrier-tariffs-posted-websites

Surprise ... "engineers who allegedly used AI to write a code snippet were perceived as less competent than those who didn’t (and female engineers were disproportionately penalized).
https://hbr.org/2025/09/ai-generated-workslop-is-destroying-productivity

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

Scientists found the missing nutrients bees need — Colonies grew 15-fold
https://flip.it/v_K3lx

Scientists found the missing nutrients bees need — Colonies grew 15-fold
Scientists have developed a breakthrough food supplement that could help save honeybees from devastating declines. By engineering yeast to produce six essential sterols found in pollen, researchers provided bees with a nutritionally complete diet that boosted reproduction up to 15-fold. Unlike commercial substitutes that lack key nutrients, this supplement mimics natural pollen’s sterol profile, giving bees the equivalent of a balanced diet.

"[I]n practice, his campaign for “real food” looks less like a reinvestment in farming and more like a rebrand of fast food. While the Trump administration continues to pull funding from school produce programs and tribal food systems, Kennedy has gone on national television to praise tallow-fried french fries as a step toward national wellness."
RFK Jr. cares more about french fries than US farms - Salon.com
https://www.salon.com/2025/07/26/rfk-jr-cares-more-about-french-fries-than-us-farms/

Every time I see mention of the Mafia in #Detroit, the names are always those of a restaurant, bakery, or produce market that I have patronized here in the #Eastside burbs.

Mob History (@mobhistory@mastodon.social)
Attached: 1 image #OTD (Sep 25) in 1933, Joe #Bommarito and James #Licavoli are given 90-day sentences for violating the #Michigan Public Enemy Act. #MafiaHistory #Histodons @mafiahistory@fedigroups.social

"les crypto-monnaies n'ont aucune justification économique, si ce n'est qu'elles permettent de spéculer plus facilement sur la crédulité d'autrui et de dissimuler des transactions illégales"
#crypto

By engineering yeast to produce six essential sterols found in pollen, researchers provided bees with a nutritionally complete diet that boosted reproduction up to 15-fold.
Unlike commercial substitutes that lack key nutrients, this supplement mimics natural pollen’s sterol profile, giving bees the equivalent of a balanced diet.
…

Scientists found the missing nutrients bees need — Colonies grew 15-fold
Scientists have developed a breakthrough food supplement that could help save honeybees from devastating declines. By engineering yeast to produce six essential sterols found in pollen, researchers provided bees with a nutritionally complete diet that boosted reproduction up to 15-fold. Unlike commercial substitutes that lack key nutrients, this supplement mimics natural pollen’s sterol profile, giving bees the equivalent of a balanced diet.

OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulation
Jianwen Jiang, Weihong Zeng, Zerong Zheng, Jiaqi Yang, Chao Liang, Wang Liao, Han Liang, Yuan Zhang, Mingyuan Gao
https://arxiv.org/abs/2508.19209

OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulation
Existing video avatar models can produce fluid human animations, yet they struggle to move beyond mere physical likeness to capture a character's authentic essence. Their motions typically synchronize with low-level cues like audio rhythm, lacking a deeper semantic understanding of emotion, intent, or context. To bridge this gap, \textbf{we propose a framework designed to generate character animations that are not only physically plausible but also semantically coherent and expressive.} Our mod…

Topology Aware Neural Interpolation of Scalar Fields
Mohamed Kissi, Keanu Sisouk, Joshua A. Levine, Julien Tierny
https://arxiv.org/abs/2508.17995 https://…

Topology Aware Neural Interpolation of Scalar Fields
This paper presents a neural scheme for the topology-aware interpolation of time-varying scalar fields. Given a time-varying sequence of persistence diagrams, along with a sparse temporal sampling of the corresponding scalar fields, denoted as keyframes, our interpolation approach aims at "inverting" the non-keyframe diagrams to produce plausible estimations of the corresponding, missing data. For this, we rely on a neural architecture which learns the relation from a time value to the correspo…

Research: low productivity gains from AI may stem from employees using AI to produce "workslop", or low-effort, passable work that creates more work for others (Harvard Business Review)
https://hbr.org/2025/09/ai-generated-workslop-is-destroying-productivit…

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

Single Answer is Not Enough: On Generating Ranked Lists with Medical Reasoning Models
Pittawat Taveekitworachai, Natpatchara Pongjirapat, Krittaphas Chaisutyakorn, Piyalitt Ittichaiwong, Tossaporn Saengja, Kunat Pipatanakul
https://arxiv.org/abs/2509.20866

Single Answer is Not Enough: On Generating Ranked Lists with Medical Reasoning Models
This paper presents a systematic study on enabling medical reasoning models (MRMs) to generate ranked lists of answers for open-ended questions. Clinical decision-making rarely relies on a single answer but instead considers multiple options, reducing the risks of narrow perspectives. Yet current MRMs are typically trained to produce only one answer, even in open-ended settings. We propose an alternative format: ranked lists and investigate two approaches: prompting and fine-tuning. While promp…

Bias Amplification in Stable Diffusion's Representation of Stigma Through Skin Tones and Their Homogeneity
Kyra Wilson, Sourojit Ghosh, Aylin Caliskan
https://arxiv.org/abs/2508.17465

Bias Amplification in Stable Diffusion's Representation of Stigma Through Skin Tones and Their Homogeneity
Text-to-image generators (T2Is) are liable to produce images that perpetuate social stereotypes, especially in regards to race or skin tone. We use a comprehensive set of 93 stigmatized identities to determine that three versions of Stable Diffusion (v1.5, v2.1, and XL) systematically associate stigmatized identities with certain skin tones in generated images. We find that SD XL produces skin tones that are 13.53% darker and 23.76% less red (both of which indicate higher likelihood of societal…

Counter-propagating spontaneous parametric down-conversion source in lithium niobate on insulator
Jost Kellner, Alessandra Sabatti, Tristan Kuttner, Robert J. Chapman, Rachel Grange
https://arxiv.org/abs/2506.21396

Counter-propagating spontaneous parametric down-conversion source in lithium niobate on insulator
Quantum photonic technologies rely on the ability to generate, manipulate, and interfere indistinguishable single photons on a scalable platform. Among the various approaches, spontaneous parametric down-conversion (SPDC) remains one of the most widely used methods for generating entangled or pure photon pairs. However most integrated SPDC sources relying on co-propagating geometries have a limited purity of heralded photons, or require lossy filtering. Type-2 SPDC processes can produce pure se…

Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics
Hsin-Hsiung Huang, Hayden Hampton
https://arxiv.org/abs/2506.20935

Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics
Forecasting geopolitical conflict from data sources like the Global Database of Events, Language, and Tone (GDELT) is a critical challenge for national security. The inherent sparsity, burstiness, and overdispersion of such data cause standard deep learning models, including the Temporal Fusion Transformer (TFT), to produce unreliable long-horizon predictions. We introduce STFT-VNNGP, a hybrid architecture that won the 2023 Algorithms for Threat Detection (ATD) competition by overcoming these l…

Local Statistics of the $M_n$-Dimer Model
Nickolas Anderson, Moriah Elkin, Elizabeth Kelley, Nicholas Ovenhouse, Kayla Wright
https://arxiv.org/abs/2508.19224 https://

Local Statistics of the $M_n$-Dimer Model
The classical dimer model is concerned with the (weighted) enumeration of perfect matchings of a graph. An $n$-dimer cover is a multiset of edges that can be realized as the disjoint union of $n$ individual matchings. For a probability measure recently defined by Douglas, Kenyon, and Shi, which we call the $M_n$-dimer model, we study random $n$-dimer covers on bipartite graphs with matrix edge weights and produce formulas for local edge statistics and correlations. We also classify local moves …

Random forest-based out-of-distribution detection for robust lung cancer segmentation
Aneesh Rangnekar, Harini Veeraraghavan
https://arxiv.org/abs/2508.19112 https://

Random forest-based out-of-distribution detection for robust lung cancer segmentation
Accurate detection and segmentation of cancerous lesions from computed tomography (CT) scans is essential for automated treatment planning and cancer treatment response assessment. Transformer-based models with self-supervised pretraining can produce reliably accurate segmentation from in-distribution (ID) data but degrade when applied to out-of-distribution (OOD) datasets. We address this challenge with RF-Deep, a random forest classifier that utilizes deep features from a pretrained transform…

Faithful Burau-like representations of some rank two Garside groups and torus knot groups
Thomas Gobet
https://arxiv.org/abs/2506.21340 https://

Faithful Burau-like representations of some rank two Garside groups and torus knot groups
We give a method to produce faithful representations of the groups $G(n,m)=\langle X, Y \ \vert \ X^m = Y^n \rangle$ in $\mathrm{GL}_2(\mathbb{C}[t^{\pm 1}, q^{\pm 1}])$. These groups are Garside groups and the Garside normal forms of elements of the corresponding monoid can be explicitly recovered from the matrices, in the spirit of Krammer's proof of the linearity of Artin's braid groups. We use this method to construct several explicit faithful representations of the above groups, among whic…

Join Cardinality Estimation with OmniSketches
David Justen, Matthias Boehm
https://arxiv.org/abs/2508.17931 https://arxiv.org/pdf/2508.17931

Join Cardinality Estimation with OmniSketches
Join ordering is a key factor in query performance, yet traditional cost-based optimizers often produce sub-optimal plans due to inaccurate cardinality estimates in multi-predicate, multi-join queries. Existing alternatives such as learning-based optimizers and adaptive query processing improve accuracy but can suffer from high training costs, poor generalization, or integration challenges. We present an extension of OmniSketch - a probabilistic data structure combining count-min sketches and K…

Weighing Obese Timed Languages
Eugene Asarin, Aldric Degorre, Catalin Dima, Bernardo Jacobo Incl\'an
https://arxiv.org/abs/2508.18133 https://arxiv.org…

Weighing Obese Timed Languages
The bandwidth of a timed language characterizes the quantity of information per time unit (with a finite observation precision $\varepsilon$). Obese timed automata have an unbounded frequency of events and produce information at the maximal possible rate. In this article, we compute the bandwidth of any such automaton in the form $\approxα/\varepsilon$. Our approach reduces the problem to computing the best reward-to-time ratio in a weighted timed graph constructed from the given timed automat…

Comparing Calculations of Seasonal Variations of Atmospheric Muons in Deep Underground Detectors
Amanda Alves, Lilly Pyras, Dennis Soldin, Stef Verpoest
https://arxiv.org/abs/2508.18505

Comparing Calculations of Seasonal Variations of Atmospheric Muons in Deep Underground Detectors
Cosmic rays interact with nuclei in the Earth's atmosphere to produce extensive air showers, which give rise to the atmospheric muon flux. Temperature fluctuations in the atmosphere influence the rate of muons measured in deep underground experiments. This contribution presents predictions of the daily muon flux at a depth of 2000 m.w.e., calculated using MUTE, a software tool which combines MCEq, a numerical solver of the matrix cascade equations in the atmosphere, with PROPOSAL, a propagation…

Importance of relativistic pericenter precession in identifying the presence of a third body near eccentric binaries
Pankaj Saini, Lorenz Zwick, J\'anos Tak\'atsy, Connar Rowan, Kai Hendriks, Gaia Fabj, Daniel J. D'Orazio, Johan Samsing
https://arxiv.org/abs/2508.17348

Importance of relativistic pericenter precession in identifying the presence of a third body near eccentric binaries
Many astrophysical processes can produce gravitational wave (GW) sources with significant orbital eccentricity. These binaries emit bursts of gravitational radiation during each pericenter passage. In isolated systems, the intrinsic timing of these bursts is solely determined by the properties of the binary. The presence of a nearby third body perturbs the system and alters the burst timing. Accurately modeling such perturbations therefore offers a novel approach to detecting the presence of a …

High energy gammas and neutrinos from the Sun, Jupiter and Earth
Pablo de la Torre, Miguel Guti\'errez, Manuel Masip, Alejandro Oliver
https://arxiv.org/abs/2509.20970 https…

High energy gammas and neutrinos from the Sun, Jupiter and Earth
Cosmic rays reaching the atmosphere of an astrophysical object produce showers of secondary particles that may then scape into space. Here we obtain the flux of gammas and neutrinos of energy $E>10$ GeV emited by the Sun, Jupiter and Earth. We show that, while the solar magnetic field induces an albedo flux of gammas from all the points in the Sun's surface, the dipolar magnetic field in the planets implies gammas only from the very peripheral region. Neutrinos, in contrast, can cross these obj…

Score Matching on Large Geometric Graphs for Cosmology Generation
Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren, Vlado Menkovski
https://arxiv.org/abs/2508.16990 https://

Score Matching on Large Geometric Graphs for Cosmology Generation
Generative models are a promising tool to produce cosmological simulations but face significant challenges in scalability, physical consistency, and adherence to domain symmetries, limiting their utility as alternatives to $N$-body simulations. To address these limitations, we introduce a score-based generative model with an equivariant graph neural network that simulates gravitational clustering of galaxies across cosmologies starting from an informed prior, respects periodic boundaries, and s…

»The research, based on a survey of 1,150 workers, is the latest analysis to suggest that the injection of AI tools into the workplace has not resulted in some magic productivity boom and instead has just increased the amount of time that workers say they spend fixing low-quality AI-generated “work.”«
Read in the most recent @… newsletter. The researc…

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

Hamiltonian formulation of the quasineutral Vlasov-Poisson system
J. W. Burby
https://arxiv.org/abs/2506.21415 https://arxiv.org/pdf/…

Hamiltonian formulation of the quasineutral Vlasov-Poisson system
Slow manifold reduction and the theory of Poisson-Dirac submanifolds are used to deduce a Hamiltonian formulation for a quasineutral limit of the planar, collisionless, magnetized Vlasov-Poisson system. Motion on the slow manifold models plasma dynamics free of fast Langmuir oscillations. Preservation of quasineutrality requires the bulk plasma flow is incompressible. The electric field is determined by counterbalancing plasma stresses that would otherwise produce compression. The Hamiltonian s…

As the saying goes "Better to be thought an idiot than produce a private members bill and prove it. "
https://www.abc.net.au/news/2025-08-25/barnaby-joyce-net-zero-bill-debate/105690926

Barnaby Joyce's net zero repeal bill to be debated, as Labor presses Coalition over climate divide
Labor will seek to maximise internal Coalition divisions over whether to scrap its net zero emissions commitment, allowing debate in the chamber today on Barnaby Joyce's bill to repeal climate laws.

Self-similarity in creeping salt crystallization
R. J. Wijnhorst, M. Prat, N. Shahidzadeh
https://arxiv.org/abs/2508.18779 https://arxiv.org/pdf/2508.18779…

Self-similarity in creeping salt crystallization
The self-amplifying creeping of salts can produce striking macroscopic structures, such as desert roses in arid regions and salt pillars near saline lakes. While these formations are visually remarkable, salt crystallization, often seen as efflorescence on surfaces, also poses significant challenges for cultural heritage conservation, materials science, and soil management. In this study, we investigate the mechanisms underlying self-organized crystallization within efflorescence deposits. Our …

Jag har märkt att många tror att de får bra svar från olika AI verktyg när de i själva verket bara bekräftar det som användaren vill ha bekräftat.
OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational limits.

OpenAI admits AI hallucinations are mathematically inevitable, not just engineering flaws
In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational limits.

What Do Bouncing Balls Tell Us About the Universe? A Journey into Billiard Systems
Weiqi Chu, Matthew Dobson
https://arxiv.org/abs/2508.18519 https://arxiv…

What Do Bouncing Balls Tell Us About the Universe? A Journey into Billiard Systems
Have you ever played or watched a game of pool? If so, you have already seen a billiard system in action. In mathematics and physics, a billiard system describes a ball that moves in straight lines and bounces off walls. Despite these simple rules, billiard systems can produce remarkably rich behaviors: some table shapes generate regular, periodic patterns, while others give rise to complete chaos. Scientists also study what happens when we shrink the ball down to the size of an electron to a w…

The Low Mass Dwarf Host Galaxy of Non-Repeating FRB 20230708A
August R. Muller (Maria Mitchell Observatory, Max Planck Institute for Gravitational Physics), Alexa C. Gordon (Northwestern University), Stuart D. Ryder (Macquarie University), Alexandra G. Mannings (University of California Santa Cruz), J. Xavier Prochaska (University of California Santa Cruz, Kavli Institute for the Physics and Mathematics of the Universe, National Astronomical Observatory of Japan), Keith W. Bannister (C…

The Low Mass Dwarf Host Galaxy of Non-Repeating FRB 20230708A
We present Very Large Telescope/X-Shooter spectroscopy for the host galaxies of 12 fast radio bursts (FRBs) detected by the Australian SKA Pathfinder (ASKAP) observed through the ESO Large Programme "FURBY", which imposes strict selection criteria on the included FRBs and their host galaxies to produce a homogeneous and well-defined sample. We describe the data reduction and analysis of these spectra and report their redshifts, line-emission fluxes, and derived host properties. From the present…

"Floating platform to produce synthetic fuels using wind, seawater, and air"
#Energy #Renewables
https://

Floating platform to produce synthetic fuels using wind, seawater, and air
Off-grid, modular, and seaworthy: KIT (Karlsruhe Institute of Technology) and partners intend to produce synthetic fuels on a floating platform using wind energy, seawater, and ambient air. For this purpose, the "PtX-Wind" project was launched under the H2Mare lead project. A corresponding modular plant was installed on a barge and lies operational at anchor in Bremerhaven. Later this year, it will start producing synthetic fuel directly on the sea just off Helgoland Island.

Sophomore slump or worse? What's going on with Jaguars' Brian Thomas Jr. and Cardinals' Marvin Harrison Jr.?

https://www.cbssports.com/nfl/news/sop…

Photo-Thermally Tunable Photon-Pair Generation in Dielectric Metasurfaces
Omer Can Karaman, Hua Li, Elif Nur Dayi, Christophe Galland, Giulia Tagliabue
https://arxiv.org/abs/2508.19051

Photo-Thermally Tunable Photon-Pair Generation in Dielectric Metasurfaces
Photon-pair sources based on spontaneous four-wave mixing (SFWM) in integrated photonics are often spectrally static. We demonstrate and model a fundamental thermo-optical mechanism that modulates photon-pair generation in amorphous silicon (a-Si) thin films and metasurfaces via SFWM. Femtosecond-pulsed excitation yields g2(0) higher than 400 in unpatterned a-Si, confirming high-purity nonclassical emission. Resonant a-Si metasurfaces produce photon pairs at rates exceeding 3.8 kHz under 0.6 mW…

NewtonGen: Physics-Consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics
Yu Yuan, Xijun Wang, Tharindu Wickremasinghe, Zeeshan Nadir, Bole Ma, Stanley H. Chan
https://arxiv.org/abs/2509.21309

NewtonGen: Physics-Consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics
A primary bottleneck in large-scale text-to-video generation today is physical consistency and controllability. Despite recent advances, state-of-the-art models often produce unrealistic motions, such as objects falling upward, or abrupt changes in velocity and direction. Moreover, these models lack precise parameter control, struggling to generate physically consistent dynamics under different initial conditions. We argue that this fundamental limitation stems from current models learning moti…

Adaptive Divide and Conquer with Two Rounds of Communication
Niladri Kal, Botond Szab\'o, Rajarshi Guhaniyogi, Natesh Pillai, Debdeep Pati
https://arxiv.org/abs/2508.17073 h…

Adaptive Divide and Conquer with Two Rounds of Communication
We introduce a two-round adaptive communication strategy that enables rate-optimal estimation in the white noise model without requiring prior knowledge of the underlying smoothness. In the first round, local machines send summary statistics using $(\log_2(n))^2$ bits to enable the central machine to select the tuning parameters of the procedure. In the second round, another set of statistics are transmitted using optimal number of bits, enabling the central machine to aggregate and produce a f…

"Low effort, unhelpful AI generated work is having a significant impact on collaboration at work. Approximately half of the people we surveyed viewed colleagues who sent workslop as less creative, capable, and reliable than they did before receiving the output. Forty-two percent saw them as less trustworthy, "
(Original title: AI-Generated “Workslop” Is Destroying Productivity)

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

YATE: The Role of Test Repair in LLM-Based Unit Test Generation
Michael Konstantinou, Renzo Degiovanni, Jie M. Zhang, Mark Harman, Mike Papadakis
https://arxiv.org/abs/2507.18316

YATE: The Role of Test Repair in LLM-Based Unit Test Generation
Recent advances in automated test generation utilises language models to produce unit tests. While effective, language models tend to generate many incorrect tests with respect to both syntax and semantics. Although such incorrect tests can be easily detected and discarded, they constitute a "missed opportunity" -- if fixed, they are often valuable as they directly add testing value (they effectively target the underlying program logic to be tested) and indirectly form good seeds for generating…

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface
Atousa Arzanipour, Rouzbeh Behnia, Reza Ebrahimi, Kaushik Dutta
https://arxiv.org/abs/2509.20324 https:…

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface
Retrieval-Augmented Generation (RAG) is an emerging approach in natural language processing that combines large language models (LLMs) with external document retrieval to produce more accurate and grounded responses. While RAG has shown strong potential in reducing hallucinations and improving factual consistency, it also introduces new privacy and security challenges that differ from those faced by traditional LLMs. Existing research has demonstrated that LLMs can leak sensitive information th…

The monodromy representation of a hypergeometric system in $m$ variables of rank $p^m$
Jyoichi Kaneko, Keiji Matsumoto, Katsuyoshi Ohara, Tomohide Terasoma
https://arxiv.org/abs/2508.18769

The monodromy representation of a hypergeometric system in $m$ variables of rank $p^m$
We study the monodromy representation of the hypergeometric system $\mathcal{F}_{C}^{p,m}(a,B)$ in $m$ variables of rank $p^m$ with parameters $a$ and $B$. This system can be regarded as a multi-variable model of the generalized hypergeometric equation of rank $p$. We construct $m+1$ loops which generate the fundamental group of the complement of the singular locus of $\mathcal{F}_{C}^{p,m}(a,B)$, and we show that they satisfy certain relations as elements of the fundamental group. We produce c…

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation
Zhaodong Jiang, Ashish Sinha, Tongtong Cao, Yuan Ren, Bingbing Liu, Binbin Xu
https://arxiv.org/abs/2508.15972

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation
Estimating the 6D pose of novel objects is a fundamental yet challenging problem in robotics, often relying on access to object CAD models. However, acquiring such models can be costly and impractical. Recent approaches aim to bypass this requirement by leveraging strong priors from foundation models to reconstruct objects from single or multi-view images, but typically require additional training or produce hallucinated geometry. To this end, we propose UnPose, a novel framework for zero-shot,…

Reminder to anyone who needs to hear it, LLMs are not intelligent, they literally need a random number to produce output

When brewing kombucha, make sure to end fermentation at the right time! Yeasts produce alcohol as a byproduct of fermentation, and the alcohol level can get high enough that they will pop out for a cheeky nando's and contaminate the brew with piri piri flavor

“Produce”? I guess that Pentagon contract with Grok will get its first use.
https://www.bbc.com/news/articles/c9w1014rlq9o

Donald Trump orders US attorney general to 'produce' more Epstein documents
Trump's supporters and opponents alike have demanded more disclosures related to the disgraced financier.

Regression of Suspension Violin Modes in KAGRA O3GK Data with Kalman Filters
Lucas Moisset, Marco Meyer-Conde, Christopher Allene, Yusuke Sakai, Dan Chen, Nobuyuki Kanda, Hirotaka Takahashi
https://arxiv.org/abs/2509.20658

Regression of Suspension Violin Modes in KAGRA O3GK Data with Kalman Filters
Suspension thermal modes in interferometric gravitational-wave detectors produce narrow, high-Q spectral lines that can contaminate gravitational searches and bias parameter estimation. In KAGRA, cryogenic mirrors are held by thick suspension fibers, designed to sustain such low-temperature environment, which may further affects inharmonicity modes, fiber dimensions, and mechanical behavior compared to typical interferometers. Remaining a prominent source of narrowband contamination, we impleme…

Bustling 🫜
攒动 🫜
📷 Nikon FE
🎞️FOMAPAN Action 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

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

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

G\"odel Test: Can Large Language Models Solve Easy Conjectures?
Moran Feldman, Amin Karbasi
https://arxiv.org/abs/2509.18383 https://arxiv.org/pdf/250…

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
Alex Costanzino, Pierluigi Zama Ramirez, Luigi Lella, Matteo Ragaglia, Alessandro Oliva, Giuseppe Lisanti, Luigi Di Stefano
https://arxiv.org/abs/2506.21549

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
We propose SiM3D, the first benchmark considering the integration of multiview and multimodal information for comprehensive 3D anomaly detection and segmentation (ADS), where the task is to produce a voxel-based Anomaly Volume. Moreover, SiM3D focuses on a scenario of high interest in manufacturing: single-instance anomaly detection, where only one object, either real or synthetic, is available for training. In this respect, SiM3D stands out as the first ADS benchmark that addresses the challen…

Probing Leptophobic Dark Sectors via Gravitational Wave Signatures
Taramati, Lekhika Malhotra, Zafri A. Borboruah, Sudhanwa Patra
https://arxiv.org/abs/2508.17476 https://

Probing Leptophobic Dark Sectors via Gravitational Wave Signatures
We study a minimally extended version of the Standard Model where baryon number is gauged with a $U(1)_B$ symmetry. This model can be made anomaly-free by adding a set of additional fermions. The lightest component of these fermions behaves as a viable dark matter candidate. We show that the spontaneous breaking of $U(1)_B$ symmetry can produce gravitational waves via bubble dynamics resulting from a first-order phase transition, which can be detected in future gravitational wave experiments li…

Sometimes innovation is quite simple 🙂
""Our measurements show that wheat and grass-clover mixtures grow just as well between vertical solar panels as in open fields. At the same time, the panels produce electricity in a daily pattern that better matches energy demand. It's a win-win,"
#solarpanels

Double harvest: Vertical solar panels and crops thrive side by side
Imagine a field where solar panels and crops coexist—with no trade-off. It sounds like science fiction, but that's precisely what researchers from Aarhus University have now documented in a full-scale agrivoltaic pilot project in the Danish countryside.

State Space Models Naturally Produce Traveling Waves, Time Cells, and Scale to Abstract Cognitive Functions
Sen Lu, Xiaoyu Zhang, Mingtao Hu, Eric Yeu-Jer Lee, Soohyeon Kim, Wei D. Lu
https://arxiv.org/abs/2507.13638

State Space Models Naturally Produce Traveling Waves, Time Cells, and Scale to Abstract Cognitive Functions
A grand challenge in modern neuroscience is to bridge the gap between the detailed mapping of microscale neural circuits and a mechanistic understanding of cognitive functions. While extensive knowledge exists about neuronal connectivity and biophysics, a significant gap remains in how these elements combine to produce flexible, learned behaviors. Here, we propose that a framework based on State-Space Models (SSMs), an emerging class of deep learning architectures, can bridge this gap. We argue…

Spherical solutions to the Klein-Gordon equation in the expanding universe
Karen Yagdjian
https://arxiv.org/abs/2508.15812 https://arxiv.org/pdf/2508.15812…

Spherical solutions to the Klein-Gordon equation in the expanding universe
We produce an explicit formula for the wave function of the spherically symmetric fields emitted to the FLRW universe with the scale factor generated by the de Sitter universe. As an application of these explicitly written solutions of the Klein-Gordon equation, we test the decay in time of the field generated by a pionic atom.

Warm, water-depleted rocky exoplanets with surface ionic liquids - a proposed class for planetary #habitability: https://www.pnas.org/doi/10.1073/pnas.2425520122 -> Planets without water could still produce certain liquids, a new study finds: https://news.mit.edu/2025/planets-without-water-could-still-produce-certain-liquids-0811 - lab experiments show “ionic liquids” can form through common planetary processes and might be capable of supporting life even on waterless planets.

A senior CIA officer who oversaw Russia analysis
has been stripped of her security clearance,
part of a sweeping removal of
37 serving and former officials accused of "betray[ing] their oath to the Constitution," the Economist reported on Aug. 21.
The officer, who served as the CIA’s top Russia and Eurasia analyst during the 2016 election
and helped produce the report detailing Moscow’s interference on behalf of Donald Trump,
was among the most s…

Trump administration escalates purge of senior US intelligence officials, Economist reports
The officer, who served as the CIA’s top Russia and Eurasia analyst during the 2016 election and helped produce the report detailing Moscow’s interference on behalf of Donald Trump, was among the most senior career officials targeted.

AI-Generated “Workslop” Is Destroying Productivity https://hbr.org/2025/09/ai-generated-workslop-is-destroying-productivity

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

What ingests large quantities of data, applies some math and outputs a much smaller set of data that can still be used to reconstruct what was ingested? Compression algorithms, right?
And some of them compress *so much* that data can only be extracted partially and the rest needs to be "guessed" - like JPEGs.
LLMs ingest TB after TB and compress that into a few miserable GB.
And that's why the info they produce is like a JPEG with a compression factor of 1000 and…

💩 A more climate-friendly way to produce nitrogen fertilizer
#chemistry

A more climate-friendly way to produce nitrogen fertilizer
Humanity has an insatiable appetite for ammonia: This substance is used to make fertilizer, which in turn is used in most modern agriculture. Until now, the Haber-Bosch process has been the method of choice for extracting nitrogen from the seemingly inexhaustible atmosphere and binding it in the form of ammonia. However, this method requires an extremely large amount of methane gas and energy.

A classic. Reporter fails to pay attention to what the nimbys actually say.
Reporter: Critics fear that [very modest] upzone won't produce "housing that is actually affordable for county residents"
Then quotes critic who fears it will "just provide more affordably priced rental units"
https://…

A Solovay-like model at $\aleph_\omega$
Alejandro Poveda, Sebastiano Thei
https://arxiv.org/abs/2509.18991 https://arxiv.org/pdf/2509.18991

A Solovay-like model at $\aleph_ω$
Assuming the consistency of ZFC with appropriate large cardinal axioms we produce a model of ZFC where $\aleph_ω$ is a strong limit cardinal and the inner model $L(\mathcal{P}(\aleph_ω))$ satisfies the following properties: (1) Every set $A\subseteq (\aleph_ω)^ω$ has the $\aleph_ω$-PSP. (2) There is no scale at $\aleph_ω$. (3) The Singular Cardinal Hypothesis (SCH) fails at $\aleph_ω$. (4) Shelah's Approachability property (AP) fails at $\aleph_ω$. (5) The Tree Property (TP) holds at $\…

I noticed a weird technology gap: Funders like @… or @… have started to require Gantt charts for funding applications, yet there seems to be no established way to produce them. Yes, there’s MS Project and the like, but no s…

Pete Carroll's Plans for the Raiders' Rookies https://www.si.com/nfl/raiders/news/pete-carroll-ashton-jeanty-training-camp-donte-thornton-jack-bech-nfl

"Ohio Bill Would Require Watermarks on AI Imagery"
How exactly does a state enforce this? 🤔 "...it could place restrictions on a consumer's legal uses of a product, or it could place restrictions on what type of functions a producer's product can actually produce."
http…

Three Dimensional Theory of the Ion Channel Laser
Claire Hansel, Agostino Marinelli, Zhirong Huang, Elena Ros, Valentina Lee, Michael Litos
https://arxiv.org/abs/2509.20995 http…

Three Dimensional Theory of the Ion Channel Laser
The ion channel laser (ICL) is a plasma-based alternative to the free electron laser (FEL) that uses the electric field of a uniform-density ion channel rather than the magnetic field of an undulator to induce transverse oscillations of a relativistic electron bunch and thereby produce coherent radiation via a collective electromagnetic instability. The powerful focusing of the ion channel generally yields significantly higher gain parameters in the ICL as compared to the FEL. This permits lasi…

Tidal features around simulated groups and cluster galaxies: Enhancement and suppression of merger events through environment in LSST-like mock observations
Aman Khalid, Sarah Brough, Garreth Martin, Lucas C. Kimmig, Rhea-Silvia Remus, Claudia del P. Lagos, Lucas M. Valenzuela, Ruby J. Wright
https://arxiv.org/abs/2509.20723

Tidal features around simulated groups and cluster galaxies: Enhancement and suppression of merger events through environment in LSST-like mock observations
Generally, merger likelihood increases in denser environments; however, the large relative velocities at the centres of dense clusters are expected to reduce the likelihood of mergers for satellite galaxies. Tidal features probe the recent merger histories of galaxies. The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce an unprecedented sample of tidal features around millions of galaxies. We use LSST-like mock observations of galaxies at $z\sim0$ from the EAGLE,…

Sam Altman says OpenAI wants to create "a factory that can produce a gigawatt of new AI infrastructure every week" and plans to reveal more details this year (Sam Altman)
https://blog.samaltman.com/abundant-intelligence

Evolution of phenocopying in a dynamical model of developmental trajectories
Yuuki Matsushita, Archishman Raju
https://arxiv.org/abs/2509.19720 https://arx…

Evolution of phenocopying in a dynamical model of developmental trajectories
Developmental trajectories are known to be canalized, or robust to both environmental and genetic perturbations. However, even when these trajectories are decanalized by an environmental perturbation outside of the range of conditions to which they are robust, they often produce phenotypes similar to known mutants called phenocopies. This correspondence between the effect of environmental and genetic perturbations has received little theoretical attention. Here, we study an abstract regulatory …

Theory, Simulations and Observations of Stellar Mergers
Fabian R. N. Schneider
https://arxiv.org/abs/2509.18421 https://arxiv.org/pdf/2509.18421

Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation
Zhijian Zhou, Junyi An, Zongkai Liu, Yunfei Shi, Xuan Zhang, Fenglei Cao, Chao Qu, Yuan Qi
https://arxiv.org/abs/2508.16521

Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation
Generating physically realistic 3D molecular structures remains a core challenge in molecular generative modeling. While diffusion models equipped with equivariant neural networks have made progress in capturing molecular geometries, they often struggle to produce equilibrium structures that adhere to physical principles such as force field consistency. To bridge this gap, we propose Reinforcement Learning with Physical Feedback (RLPF), a novel framework that extends Denoising Diffusion Policy …

From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors
Maggie Mi, Aline Villavicencio, Nafise Sadat Moosavi
https://arxiv.org/abs/2509.20065

From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors
Language models often struggle with idiomatic, figurative, or context-sensitive inputs, not because they produce flawed outputs, but because they misinterpret the input from the outset. We propose an input-only method for anticipating such failures using token-level likelihood features inspired by surprisal and the Uniform Information Density hypothesis. These features capture localized uncertainty in input comprehension and outperform standard baselines across five linguistically challenging d…

Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning
Le Zhang, Fuping Wu, Arun Thirunavukarasu, Kevin Bronik, Thomas Nichols, Bartlomiej W. Papiez
https://arxiv.org/abs/2508.18186

Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning
Large annotated datasets are vital for training segmentation models, but pixel-level labeling is time-consuming, error-prone, and often requires scarce expert annotators, especially in medical imaging. In contrast, coarse annotations are quicker, cheaper, and easier to produce, even by non-experts. In this paper, we propose to use coarse drawings from both positive (target) and negative (background) classes in the image, even with noisy pixels, to train a convolutional neural network (CNN) for …

TACO Trump Reverses Course, Directs Bondi to Produce Meaningless Epstein Files - WhoWhatWhy
https://whowhatwhy.org/politics/us-politics/taco-trump-reverses-course-directs-bondi-to-produce-meaningless-epstein-files/

"A confusing contradiction is unfolding in companies embracing generative AI tools: while workers are largely following mandates to embrace the technology, few are seeing it create real value. [...] In collaboration with Stanford Social Media Lab, our research team at BetterUp Labs has identified one possible reason: Employees are using AI tools to create low-effort, passable looking work that ends up creating more work for their coworkers."
"Unlike this mental outsourc…

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

Semiorders induced by uniform random points
Csaba Bir\'o, Caroline E. Boone
https://arxiv.org/abs/2509.20274 https://arxiv.org/pdf/2509.20274

Semiorders induced by uniform random points
We study semiorders induced by points drawn from a uniform random distribution. Of particular interest in this paper are the probabilities of generating specific semiorders and the equivalence classes they produce. We present a method for calculating the asymptotic probability of inducing these semiorders and describe the qualities which group these semiorders together. We also find a class of semiorders, called \emph{ladders}, whose probabilities can be calculated using the Up/Down numbers.

A new era for multi-wavelength studies of blazars with Rubin and the CTAO
Julian Hamo, Jonathan Biteau, Julien Peloton
https://arxiv.org/abs/2509.21109 https://

A new era for multi-wavelength studies of blazars with Rubin and the CTAO
Both the Rubin Observatory and the first telescopes of the CTAO will be collecting data by 2026, marking a new era in optical and gamma-ray astronomy. Compared to predecessors, their enhanced sensitivity will extend extragalactic observations to a redshift of at least 2.5. This advancement offers insights into non-thermal astrophysical sources, particularly blazars. The 3-night cadence monitoring with Rubin, in one of its six filters, will produce blazar light curves that, when combined with ta…

Do AI models help produce verified bug fixes?
Li Huang, Ilgiz Mustafin, Marco Piccioni, Alessandro Schena, Reto Weber, Bertrand Meyer
https://arxiv.org/abs/2507.15822

Do AI models help produce verified bug fixes?
Among areas of software engineering where AI techniques -- particularly, Large Language Models -- seem poised to yield dramatic improvements, an attractive candidate is Automatic Program Repair (APR), the production of satisfactory corrections to software bugs. Does this expectation materialize in practice? How do we find out, making sure that proposed corrections actually work? If programmers have access to LLMs, how do they actually use them to complement their own skills? To answer these q…

Follow My Hold: Hand-Object Interaction Reconstruction through Geometric Guidance
Ayce Idil Aytekin, Helge Rhodin, Rishabh Dabral, Christian Theobalt
https://arxiv.org/abs/2508.18213

Follow My Hold: Hand-Object Interaction Reconstruction through Geometric Guidance
We propose a novel diffusion-based framework for reconstructing 3D geometry of hand-held objects from monocular RGB images by leveraging hand-object interaction as geometric guidance. Our method conditions a latent diffusion model on an inpainted object appearance and uses inference-time guidance to optimize the object reconstruction, while simultaneously ensuring plausible hand-object interactions. Unlike prior methods that rely on extensive post-processing or produce low-quality reconstructio…

Improving Multislice Electron Ptychography with a Generative Prior
Christian K. Belardi, Chia-Hao Lee, Yingheng Wang, Justin Lovelace, Kilian Q. Weinberger, David A. Muller, Carla P. Gomes
https://arxiv.org/abs/2507.17800

Improving Multislice Electron Ptychography with a Generative Prior
Multislice electron ptychography (MEP) is an inverse imaging technique that computationally reconstructs the highest-resolution images of atomic crystal structures from diffraction patterns. Available algorithms often solve this inverse problem iteratively but are both time consuming and produce suboptimal solutions due to their ill-posed nature. We develop MEP-Diffusion, a diffusion model trained on a large database of crystal structures specifically for MEP to augment existing iterative solve…

Trading modes against energy
Lukas Brenner, Beatriz Dias, Robert Koenig
https://arxiv.org/abs/2509.18854 https://arxiv.org/pdf/2509.18854

Directly Probing Neutrino Interactions through CMB Phase Shift Measurements
Gabriele Montefalcone, Subhajit Ghosh, Kimberly K. Boddy, Daven Wei Ren Ho, Yuhsin Tsai
https://arxiv.org/abs/2509.20363

Directly Probing Neutrino Interactions through CMB Phase Shift Measurements
Perturbations in the cosmic neutrino background produce a characteristic phase shift in the acoustic oscillations imprinted in the anisotropies of the cosmic microwave background (CMB), providing a unique observational probe of neutrino physics. In this work, we explore how this phase shift signature is altered in the presence of neutrino interactions with temperature-dependent scattering rates, motivated by physical constructions for neutrino self-interactions and neutrino-dark matter coupling…

When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity
Benjamin Feuer, Chiung-Yi Tseng, Astitwa Sarthak Lathe, Oussama Elachqar, John P Dickerson
https://arxiv.org/abs/2509.20293

When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity
LLM-judged benchmarks are increasingly used to evaluate complex model behaviors, yet their design introduces failure modes absent in conventional ground-truth based benchmarks. We argue that without tight objectives and verifiable constructions, benchmark rankings can produce high-confidence rankings that are in fact largely noise. We introduce two mechanisms to diagnose these issues. Schematic adherence quantifies how much of a judge's overall verdict is explained by the explicit evaluation sc…

Trump administration escalates purge of senior US intelligence officials, Economist reports: https://benborges.xyz/2025/08/22/trump-administration-escalates-purge-of.html

CMR-SPB: Cross-Modal Multi-Hop Reasoning over Text, Image, and Speech with Path Balance
Seunghee Kim, Ingyu Bang, Seokgyu Jang, Changhyeon Kim, Sanghwan Bae, Jihun Choi, Richeng Xuan, Taeuk Kim
https://arxiv.org/abs/2508.16198

CMR-SPB: Cross-Modal Multi-Hop Reasoning over Text, Image, and Speech with Path Balance
Cross-modal multi-hop reasoning (CMR) is a valuable yet underexplored capability of multimodal large language models (MLLMs), entailing the integration of information from multiple modalities to produce a coherent output for a given context. We argue that existing benchmarks for evaluating this ability have critical shortcomings: (1) they largely overlook the speech modality, and (2) they exhibit heavily biased reasoning path distributions, which can severely undermine fair evaluation. To addre…

Coherent phonon control beyond amplitude saturation
Jan Gerrit Horstmann, Christoph Emeis, Andrin Caviezel, Quintin Meier, Thomas Lottermoser, Fabio Caruso, Manfred Fiebig
https://arxiv.org/abs/2508.16422

Coherent phonon control beyond amplitude saturation
Nonlinearity is often associated with amplification, instability, or emergent behavior - where small inputs produce disproportionately large outputs. Yet in many physical systems, nonlinearities act as limiting mechanisms, suppressing the response below linear expectations, as exemplified by the breakdown of Hooke's law at large forces. These limiting effects can become significant in the optical control of quantum materials, where large-amplitude lattice motion is essential for reaching states…

LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning
Bo Hou, Xin Tan, Kai Zheng, Fang Liu, Yinghao Zhu, Li Zhang
https://arxiv.org/abs/2507.16395

LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning
Atomic commits, each of which addresses a single development concern, are a best practice in software development. However, developers frequently produce tangled commits that mix unrelated changes due to practical constraints or unclear boundaries, negatively impacting code review and maintenance. Although prior commit untangling approaches: rule-based, feature-based, or graph-based, have made progress, they often rely on shallow signals and fail to distinguish between explicit dependencies (e.…

Russia wants to produce its new Su-57 fighter jets in India: https://benborges.xyz/2025/09/02/russia-wants-to-produce-its.html

Investigating Training Data Detection in AI Coders
Tianlin Li, Yunxiang Wei, Zhiming Li, Aishan Liu, Qing Guo, Xianglong Liu, Dongning Sun, Yang Liu
https://arxiv.org/abs/2507.17389

Investigating Training Data Detection in AI Coders
Recent advances in code large language models (CodeLLMs) have made them indispensable tools in modern software engineering. However, these models occasionally produce outputs that contain proprietary or sensitive code snippets, raising concerns about potential non-compliant use of training data, and posing risks to privacy and intellectual property. To ensure responsible and compliant deployment of CodeLLMs, training data detection (TDD) has become a critical task. While recent TDD methods have…

Robust quantum communication through lossy microwave links
James D. Teoh, Nathanael Cottet, Patrick Winkel, Luke D. Burkhart, Luigi Frunzio, Robert J. Schoelkopf
https://arxiv.org/abs/2509.18547

Austin-based Aalo Atomics, which is building a modular nuclear reactor and data center, set to finish construction in 2026, raised a $100M Series B led by Valor (Julia Hornstein/Business Insider)
https://www.businessinsider.com/aalo-atomi

Aalo Atomics lands $100 million to launch nuclear reactors to power AI
Aalo Atomics raises $100 million to mass-produce nuclear reactors to power data centers amid the growing energy demand from AI.

FlexMUSE: Multimodal Unification and Semantics Enhancement Framework with Flexible interaction for Creative Writing
Jiahao Chen, Zhiyong Ma, Wenbiao Du, Qingyuan Chuai
https://arxiv.org/abs/2508.16230 …

FlexMUSE: Multimodal Unification and Semantics Enhancement Framework with Flexible interaction for Creative Writing
Multi-modal creative writing (MMCW) aims to produce illustrated articles. Unlike common multi-modal generative (MMG) tasks such as storytelling or caption generation, MMCW is an entirely new and more abstract challenge where textual and visual contexts are not strictly related to each other. Existing methods for related tasks can be forcibly migrated to this track, but they require specific modality inputs or costly training, and often suffer from semantic inconsistencies between modalities. Th…

Hybrid Quantum-Classical Inverse Design of Metasurfaces for Tailored Narrow Band Absorption
Sreeraj Rajan Warrier, Jayasri Dontabhaktuni
https://arxiv.org/abs/2507.18127 https:/…

Hybrid Quantum-Classical Inverse Design of Metasurfaces for Tailored Narrow Band Absorption
The inverse design of metasurfaces poses a considerable challenge because of the intricate interdependencies that exist between structural characteristics and electromagnetic responses. Traditional optimization methods require significant computational resources and frequently do not produce the most effective solutions. This study presents a hybrid quantum-classical machine learning approach known as Latent Style-based Quantum GAN (LaSt-QGAN). This method integrates a Variational Autoencoder (…

Modeling of Dark Matter Prompt and Secondary Signatures in Dwarf Galaxies
Athithya Aravinthan (Ruhr University Bochum, Faculty of Physics and Astronomy, Plasma-Astroparticle Physics, Bochum, Germany, Ruhr Astroparticle and Plasma Physics Center), Julien D\"orner (Ruhr University Bochum, Faculty of Physics and Astronomy, Plasma-Astroparticle Physics, Bochum, Germany, Ruhr Astroparticle and Plasma Physics Center), Julia Becker Tjus (Ruhr University Bochum, Faculty of Physics and Ast…

Modeling of Dark Matter Prompt and Secondary Signatures in Dwarf Galaxies
Dwarf Spheroidal (dSph) galaxies are very promising laboratories for the indirect search for dark matter (DM), due to their low astrophysical background in radio and gamma-ray frequencies. This is convenient when considering Weakly Interacting Dark Matter (WIMP) that can annihilate and produce radio continuum emission. Radio detections of dSph galaxies, however, prove to be difficult and motivate the consideration of transient galaxies that have just recently become quiescent. For the past se…

MV-RAG: Retrieval Augmented Multiview Diffusion
Yosef Dayani, Omer Benishu, Sagie Benaim
https://arxiv.org/abs/2508.16577 https://arxiv.org/pdf/2508.16577

MV-RAG: Retrieval Augmented Multiview Diffusion
Text-to-3D generation approaches have advanced significantly by leveraging pretrained 2D diffusion priors, producing high-quality and 3D-consistent outputs. However, they often fail to produce out-of-domain (OOD) or rare concepts, yielding inconsistent or inaccurate results. To this end, we propose MV-RAG, a novel text-to-3D pipeline that first retrieves relevant 2D images from a large in-the-wild 2D database and then conditions a multiview diffusion model on these images to synthesize consiste…

An open dataset of neural networks for hypernetwork research
David Kurtenbach, Lior Shamir
https://arxiv.org/abs/2507.15869 https://a…

An open dataset of neural networks for hypernetwork research
Despite the transformative potential of AI, the concept of neural networks that can produce other neural networks by generating model weights (hypernetworks) has been largely understudied. One of the possible reasons is the lack of available research resources that can be used for the purpose of hypernetwork research. Here we describe a dataset of neural networks, designed for the purpose of hypernetworks research. The dataset includes $10^4$ LeNet-5 neural networks trained for binary image cla…

SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning
Si-Woo Kim, MinJu Jeon, Ye-Chan Kim, Soeun Lee, Taewhan Kim, Dong-Jin Kim
https://arxiv.org/abs/2507.18616

SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning
Zero-shot Image Captioning (ZIC) increasingly utilizes synthetic datasets generated by text-to-image (T2I) models to mitigate the need for costly manual annotation. However, these T2I models often produce images that exhibit semantic misalignments with their corresponding input captions (e.g., missing objects, incorrect attributes), resulting in noisy synthetic image-caption pairs that can hinder model training. Existing dataset pruning techniques are largely designed for removing noisy text in…

Russia can produce up to 2,700 Shahed-type drones per month, intelligence says: https://benborges.xyz/2025/09/06/russia-can-produce-up-to.html

D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models
Satyapriya Krishna, Andy Zou, Rahul Gupta, Eliot Krzysztof Jones, Nick Winter, Dan Hendrycks, J. Zico Kolter, Matt Fredrikson, Spyros Matsoukas
https://arxiv.org/abs/2509.17938

D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models
The safety and alignment of Large Language Models (LLMs) are critical for their responsible deployment. Current evaluation methods predominantly focus on identifying and preventing overtly harmful outputs. However, they often fail to address a more insidious failure mode: models that produce benign-appearing outputs while operating on malicious or deceptive internal reasoning. This vulnerability, often triggered by sophisticated system prompt injections, allows models to bypass conventional saf…

SoftBank buys Foxconn's Ohio EV plant; Foxconn will produce AI servers at the plant as part of Softbank's $500B Stargate project with OpenAI and Oracle (Debby Wu/Bloomberg)
https://www.bloomberg.com/news/articles/2025-0…

Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates
Alejandro Ascarate, Leo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado
https://arxiv.org/abs/2507.15900

Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates
Variational autoencoders (VAE) encode data into lower-dimensional latent vectors before decoding those vectors back to data. Once trained, decoding a random latent vector from the prior usually does not produce meaningful data, at least when the latent space has more than a dozen dimensions. In this paper, we investigate this issue by drawing insight from high dimensional statistics: in these regimes, the latent vectors of a standard VAE are by construction distributed uniformly on a hyperspher…