Tootfinder

#Apple has taken a lot of heat for the controversial changes to #macOS design. I think it's possible to strike a balance* between appealing to Gen Z users, and honoring the old style. Therefore it is my belief that Apple should adopt Sigma Finder as soon as possible.
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The wee one is sick (again) so he'll be going to the doctor's instead of childcare tomorrow before being dropped off at his mum's.
Childcare: the gift that keeps on giving.
Too many people have to work and therefore the little ones go to kindy and childcare even when they're not well.
Because the parents have to work and feel they have no choice.
#UBI

Dear „fundamental Christians“, for you the proof that the climate catastrophe is men made is easy:
• God said to Noah: “I have set my rainbow in the clouds, and it will be the sign of the covenant between me and the earth.” (Gen 9, 13)
• You are fighting rainbows, calling them and those who praise it evil.
• So you cut the contract that was sealed between us.
• Therefore there will be flood – and worse. One does not cut the gay ribbon between yourself and God.
• It i…

Renewables, carbon and the energy crisis.
Based on a longer, fully referenced pamphlet, jointly published by @… and us available at link in article.
Right-wing critics largely deny the impact of fossil fuels on emissions, and therefore on the future prospects for humanity, but the net zero lobby is pursuing strategies that are inadequate a…

Renewables, carbon and the energy crisis
Article originally published at North West Bylines, 31 July, 2025 Based on a longer, fully referenced pamphlet, jointly published by Steady State Manchester and DegrowthUK available HERE Renewables…

I Move Therefore I Learn: Experience-Based Traversability in Outdoor Robotics
Miguel \'Angel de Miguel, Jorge Beltr\'an, Juan S. Cely, Francisco Mart\'in, Juan Carlos Manzanares, Alberto Garc\'ia
https://arxiv.org/abs/2507.00882

I Move Therefore I Learn: Experience-Based Traversability in Outdoor Robotics
Accurate traversability estimation is essential for safe and effective navigation of outdoor robots operating in complex environments. This paper introduces a novel experience-based method that allows robots to autonomously learn which terrains are traversable based on prior navigation experience, without relying on extensive pre-labeled datasets. The approach integrates elevation and texture data into multi-layered grid maps, which are processed using a variational autoencoder (VAE) trained on…

LongAnimation: Long Animation Generation with Dynamic Global-Local Memory
Nan Chen, Mengqi Huang, Yihao Meng, Zhendong Mao
https://arxiv.org/abs/2507.01945

LongAnimation: Long Animation Generation with Dynamic Global-Local Memory
Animation colorization is a crucial part of real animation industry production. Long animation colorization has high labor costs. Therefore, automated long animation colorization based on the video generation model has significant research value. Existing studies are limited to short-term colorization. These studies adopt a local paradigm, fusing overlapping features to achieve smooth transitions between local segments. However, the local paradigm neglects global information, failing to maintai…

Physics Supernova: AI Agent Matches Elite Gold Medalists at IPhO 2025
Jiahao Qiu, Jingzhe Shi, Xinzhe Juan, Zelin Zhao, Jiayi Geng, Shilong Liu, Hongru Wang, Sanfeng Wu, Mengdi Wang
https://arxiv.org/abs/2509.01659

Physics Supernova: AI Agent Matches Elite Gold Medalists at IPhO 2025
Physics provides fundamental laws that describe and predict the natural world. AI systems aspiring toward more general, real-world intelligence must therefore demonstrate strong physics problem-solving abilities: to formulate and apply physical laws for explaining and predicting physical processes. The International Physics Olympiad (IPhO)--the world's most prestigious physics competition--offers a rigorous benchmark for this purpose. We introduce Physics Supernova, an AI agent system with supe…

MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds
Junxi Wu, Jinpeng Wang, Zheng Liu, Bin Chen, Dongjian Hu, Hao Wu, Shu-Tao Xiu
https://arxiv.org/abs/2509.02499

MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds
The rapid advancement of large language models has intensified public concerns about the potential misuse. Therefore, it is important to build trustworthy AI-generated text detection systems. Existing methods neglect stylistic modeling and mostly rely on static thresholds, which greatly limits the detection performance. In this paper, we propose the Mixture of Stylistic Experts (MoSEs) framework that enables stylistics-aware uncertainty quantification through conditional threshold estimation. M…

Mass media and therefore soon also (owners of) mainstream AI models have an incentive to report mostly about outrageous claims (like Elon Musk's): these attract more attention and therefore more advertiser money, and may also help spread the AI model owner's agenda & propaganda.

Future Impact of Quantum Computing on the Computational Landscape of Power Electronics: A Short Tutorial
Nikolaos G. Paterakis, Petros Karamanakos, Corey O'Meara, Georgios Papafotiou
https://arxiv.org/abs/2507.02577

Future Impact of Quantum Computing on the Computational Landscape of Power Electronics: A Short Tutorial
Quantum computing is emerging as a promising technology for solving complex optimization problems that arise in various engineering fields, and therefore has the potential to also significantly impact power electronics applications. This paper offers a concise tutorial on fundamental concepts in quantum computing, serving as both an introduction to the field and a bridge to its potential applications in power electronics. As a first step in this direction, the use of quantum computing for solvi…

Towards culturally-appropriate conversational AI for health in the majority world: An exploratory study with citizens and professionals in Latin America
Dorian Peters, Fernanda Espinoza, Marco da Re, Guido Ivetta, Luciana Benotti, Rafael A. Calvo
https://arxiv.org/abs/2507.01719

Towards culturally-appropriate conversational AI for health in the majority world: An exploratory study with citizens and professionals in Latin America
There is justifiable interest in leveraging conversational AI (CAI) for health across the majority world, but to be effective, CAI must respond appropriately within culturally and linguistically diverse contexts. Therefore, we need ways to address the fact that current LLMs exclude many lived experiences globally. Various advances are underway which focus on top-down approaches and increasing training data. In this paper, we aim to complement these with a bottom-up locally-grounded approach bas…

This https://arxiv.org/abs/2411.12456 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Ichnos: A Carbon Footprint Estimator for Scientific Workflows
Scientific workflows facilitate the automation of data analysis, and are used to process increasing amounts of data. Therefore, they tend to be resource-intensive and long-running, leading to significant energy consumption and carbon emissions. With ever-increasing emissions from the ICT sector, it is crucial to quantify and understand the carbon footprint of scientific workflows. However, existing tooling requires significant effort from users - such as setting up power monitoring before execu…

Representation number of word-representable co-bipartite graph
Biswajit Das, Ramesh Hariharasubramanian
https://arxiv.org/abs/2509.03064 https://arxiv.org/…

Representation number of word-representable co-bipartite graph
A graph $G = (V, E)$ is said to be word-representable if there exists a word $w$ over the alphabet $V$ such that, for any two distinct letters $x, y \in V$, the letters $x$ and $y$ alternate in $w$ if and only if $xy \in E$. A graph is co-bipartite if its complement is bipartite. Therefore, the vertex set of a co-bipartite graph can be partitioned into two disjoint subsets $X$ and $Y$ such that the subgraphs induced by $X$ and $Y$ are cliques. The concept of word-representability for graph cl…

A Hybrid Ensemble Learning Framework for Image-Based Solar Panel Classification
Vivek Tetarwal, Sandeep Kumar
https://arxiv.org/abs/2507.01778 https://

A Hybrid Ensemble Learning Framework for Image-Based Solar Panel Classification
The installation of solar energy systems is on the rise, and therefore, appropriate maintenance techniques are required to be used in order to maintain maximum performance levels. One of the major challenges is the automated discrimination between clean and dirty solar panels. This paper presents a novel Dual Ensemble Neural Network (DENN) to classify solar panels using image-based features. The suggested approach utilizes the advantages offered by various ensemble models by integrating them in…

Ensemble of Pathology Foundation Models for MIDOG 2025 Track 2: Atypical Mitosis Classification
Mieko Ochi, Bae Yuan
https://arxiv.org/abs/2509.02591 https://

Ensemble of Pathology Foundation Models for MIDOG 2025 Track 2: Atypical Mitosis Classification
Mitotic figures are classified into typical and atypical variants, with atypical counts correlating strongly with tumor aggressiveness. Accurate differentiation is therefore essential for patient prognostication and resource allocation, yet remains challenging even for expert pathologists. Here, we leveraged Pathology Foundation Models (PFMs) pre-trained on large histopathology datasets and applied parameter-efficient fine-tuning via low-rank adaptation. During training, we employ a fisheye tra…

Calibrated Recommendations: Survey and Future Directions
Diego Corr\^ea da Silva, Dietmar Jannach
https://arxiv.org/abs/2507.02643 https://

Calibrated Recommendations: Survey and Future Directions
The idea of calibrated recommendations is that the properties of the items that are suggested to users should match the distribution of their individual past preferences. Calibration techniques are therefore helpful to ensure that the recommendations provided to a user are not limited to a certain subset of the user's interests. Over the past few years, we have observed an increasing number of research works that use calibration for different purposes, including questions of diversity, biases, …

A novel exact approach to polynomial optimization
Dimitris Bertsimas, Dick den Hertog, Thodoris Koukouvinos
https://arxiv.org/abs/2507.02120 https://

A novel exact approach to polynomial optimization
Polynomial optimization problems represent a wide class of optimization problems, with a large number of real-world applications. Current approaches for polynomial optimization, such as the sum of squares (SOS) method, rely on large-scale semidefinite programs, and therefore the scale of problems to which they can be applied is limited and an optimality guarantee is not always provided. Moreover, the problem can have other convex nonlinear parts, that cannot be handled by these approaches. In t…

the movement of the earth's axis was noticed by the sumerians over six thousand years ago, when they observed the star canopus culminating directly above the horizon, on the southern meridian, for the first time in their oldest and southernmost city eridu. for several decades, canopus wasn't visible in the neighboring northeast town of ur, and therefore, it was called the "star of the city of eridu" in sumerian.

A continuum multi-species biofilm model with a novel interaction scheme
Felix Klempt, Hendrik Geisler, Meisam Soleimani, Philipp Junker
https://arxiv.org/abs/2509.01274 https://…

A continuum multi-species biofilm model with a novel interaction scheme
Biofilms are complex structures which are inhabited by numerous amount of different species of microorganisms. Due to their ubiquity, they influence human life on an everyday basis. It is therefore important to understand the interactions between different biofilm components and reactions to outside conditions. For this purpose, mathematical models and in silico experiments have proven themselves to be fundamental. In combination with in vitro and in vivo experiments, they can give more insight…

The incidence of magnetism in blue and yellow straggler stars
S. Hubrig, S. P. J\"arvinen, I. Ilyin, M. Sch\"oller
https://arxiv.org/abs/2509.02304 https://

The incidence of magnetism in blue and yellow straggler stars
Our understanding of the generation of magnetic fields in intermediate-mass and massive OBA stars remains limited. Some theories have proposed that their magnetic fields could be a result of strong binary interactions, including stellar mergers. Blue stragglers, which lie well beyond the main sequence turn-off point on the colour-magnitude diagram of stellar clusters, are widely theorised to be merger products or interacting binaries and therefore can be considered excellent test targets to get…

This https://arxiv.org/abs/2505.08880 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Properties of general stationary axisymmetric spacetimes: circularity and beyond
We analyse properties of general stationary and axisymmetric spacetimes, with a particular focus on circularity -- an accidental symmetry enjoyed by the Kerr metric, and therefore widely assumed when searching for rotating black hole solutions in alternative theories of gravity as well as when constructing models of Kerr mimickers. Within a gauge specified by seven (or six) free functions, the local existence of which we prove, we solve the differential circularity conditions and translate them…

Multibeam High Throughput Satellite: Hardware Foundation, Resource Allocation, and Precoding
Rui Chen, Wen-Xuan Long, Bing-Qian Wang, Yuan He, Rui-Jin Sun, Nan Cheng, Gan Zheng, Dusit Niyato
https://arxiv.org/abs/2508.00800

Multibeam High Throughput Satellite: Hardware Foundation, Resource Allocation, and Precoding
With its wide coverage and uninterrupted service, satellite communication is a critical technology for next-generation 6G communications. High throughput satellite (HTS) systems, utilizing multipoint beam and frequency multiplexing techniques, enable satellite communication capacity of up to Tbps to meet the growing traffic demand. Therefore, it is imperative to review the-state-of-the-art of multibeam HTS systems and identify their associated challenges and perspectives. Firstly, we summarize …

Learning and Testing Inverse Statistical Problems For Interacting Systems Undergoing Phase Transition
Stefano Bae, Dario Bocchi, Luca Maria Del Bono, Luca Leuzzi
https://arxiv.org/abs/2507.02574

Learning and Testing Inverse Statistical Problems For Interacting Systems Undergoing Phase Transition
Inverse problems arise in situations where data is available, but the underlying model is not. It can therefore be necessary to infer the parameters of the latter starting from the former. Statistical mechanics offers a toolbox of techniques to address this challenge. In this work, we illustrate three of the main methods: the Maximum Likelihood, Maximum Pseudo-Likelihood, and Mean-Field approaches. We begin with a thorough theoretical introduction to these methods, followed by their application…

Parton-shower and fixed-order QCD effects in Higgs-boson production in weak-boson fusion and its decays to bottom quarks
Arnd Behring, Kirill Melnikov, Ivan Novikov, Giulia Zanderighi
https://arxiv.org/abs/2507.01448

Parton-shower and fixed-order QCD effects in Higgs-boson production in weak-boson fusion and its decays to bottom quarks
Recently, it was observed [arXiv:2407.09363] that an aggressive cut on the $b$-jets' transverse momenta applied to Higgs-boson production in weak-boson fusion followed by the decay $H \to b \bar b$, leads to very large QCD corrections to the fiducial cross section. In this paper we show that these corrections are caused by soft and collinear QCD radiation and, therefore, can be efficiently treated by a parton shower. We combine the parton-shower description of the decay $H \to b \bar b$ with NN…

This https://arxiv.org/abs/2402.08533 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management
Imagine you and a friend purchase identical items at a store, yet only your friend received a discount. Would your friend's discount make you feel unfairly treated by the store? And would you be less willing to purchase from that store again in the future? Based on a large-scale online survey that we ran on Prolific, it turns out that the answers to the above questions are positive. Therefore, when allocating resources to different customers, sellers should consider both the total reward and in…

Silicon-monoxide flames: the nucleation and condensation of silica fume
Nils Erland L. Haugen, Axel Brandenburg, Bernd Friede, Rolf G. Birkeland
https://arxiv.org/abs/2509.03106

Silicon-monoxide flames: the nucleation and condensation of silica fume
Silica fume is a valuable by-product from the silicon and ferrosilicon production. It is therefore important to understand the impact on the silica fume quality when converting the furnace feed from fossil-based to renewable reduction materials. Using self-consistent numerical simulations of the nucleation and condensation process, we present a detailed study of the silica fume formation process. It is found that the most critical physical effect that determines the final particle size distri…

Formation of Planetesimals in the Outer Solar System
Anders Johansen, Michele T. Bannister, Luke Dones, Seth Jacobson, Kelsi Singer, Kathryn Volk, Maria Womack
https://arxiv.org/abs/2508.00369

Formation of Planetesimals in the Outer Solar System
The Solar System hosts the most studied and best understood major and minor planetary bodies - and the only extraterrestrial bodies to have been visited by spacecraft. The Solar System therefore provides important constraints on both the initial stages of planetary growth, communicated to us by its surviving planetesimal populations, and for the final result of the planet formation process represented by the architecture of the system and properties of the individual planets. We review here mod…

Fast and Accurate SVD-Type Updating in Streaming Data
Johannes J. Brust, Michael A. Saunders
https://arxiv.org/abs/2509.02840 https://arxiv.org/pdf/2509.02…

Fast and Accurate SVD-Type Updating in Streaming Data
For a datastream, the change over a short interval is often of low rank. For high throughput information arranged in matrix format, recomputing an optimal SVD approximation after each step is typically prohibitive. Instead, incremental and truncated updating strategies are used, which may not scale for large truncation ranks. Therefore, we propose a set of efficient new algorithms that update a bidiagonal factorization, and which are similarly accurate as the SVD methods. In particular, we deve…

Experimental evaluation of advanced control strategies for high-blockage cross-flow turbine arrays
Aidan Hunt, Gregory Talpey, Brian Polagye
https://arxiv.org/abs/2507.02194

Experimental evaluation of advanced control strategies for high-blockage cross-flow turbine arrays
In river or tidal channels, cross-flow turbines can achieve higher blockage ratios than other turbine variants, and are therefore able to achieve higher efficiencies. Here, we experimentally investigate how array control strategies might further influence the efficiency of a high-blockage dual-rotor cross-flow turbine array. Array performance is evaluated under coordinated constant speed control, uncoordinated torque control, and coordinated intracycle speed control at blockage ratios of 35% - …

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts
Jin Yang, Qiong Wu, Zhiying Feng, Zhi Zhou, Deke Guo, Xu Chen
https://arxiv.org/abs/2508.00234 http…

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts
Large Language Models (LLMs) have demonstrated remarkable capabilities, leading to a significant increase in user demand for LLM services. However, cloud-based LLM services often suffer from high latency, unstable responsiveness, and privacy concerns. Therefore, multiple LLMs are usually deployed at the network edge to boost real-time responsiveness and protect data privacy, particularly for many emerging smart mobile and IoT applications. Given the varying response quality and latency of LLM s…

If we truly want net zero, then the only way forward is down
Based on a longer, fully referenced pamphlet, jointly published by us and @… available at link in article.
Right-wing critics largely deny the impact of fossil fuels on emissions, and therefore on the future prospects for humanity, but the net zero lobby is pursuing strategies that are i…

Renewables, carbon and the energy crisis
Article originally published at North West Bylines, 31 July, 2025 Based on a longer, fully referenced pamphlet, jointly published by Steady State Manchester and DegrowthUK available HERE Renewables…

Prospects for probing dark matter particles and primordial black holes with the Square Kilometre Array using the 21 cm power spectrum at cosmic dawn
Meng-Lin Zhao, Yue Shao, Sai Wang, Xin Zhang
https://arxiv.org/abs/2507.02651

Prospects for probing dark matter particles and primordial black holes with the Square Kilometre Array using the 21 cm power spectrum at cosmic dawn
Probing the nature of dark matter (DM) remains an outstanding problem in modern cosmology. The 21 cm signal, as a sensitive tracer of neutral hydrogen during cosmic dawn, provides a unique means to investigate DM nature during this critical epoch. Annihilation and decay of DM particles, as well as Hawking radiation of primordial black holes (PBHs), can modify the thermal and ionization histories of the early universe, leaving distinctive imprints on the 21 cm power spectrum. Therefore, the reds…

Mapping Magnetic Fields from Clouds to Cores with PRIMAger
Kate Pattle, Janik Karoly, Lorna Buhil Findlay, Simon Coud\'e, Brandon S. Hensley, Paulo C. Cortes, James Di Francesco, Valentin J. M. Le Gouellec, Enrique Lopez-Rodriguez, Fabien Louvet
https://arxiv.org/abs/2509.01796

Mapping Magnetic Fields from Clouds to Cores with PRIMAger
High-resolution, wide-area mapping of magnetic field geometries within molecular clouds, and the star-forming filaments and cores within them, is crucial in order to understand the role of magnetic fields in the star formation process. We therefore propose an unbiased survey of star-forming molecular clouds within 0.5 kpc of the Earth in polarized light with the PRIMAger Polarimetry Imager. We will map magnetic fields over entire molecular clouds at linear resolutions of $\sim10^{-3}-10^{-2}$ p…

Self-similar vorticity around the boundary and non-uniqueness of solutions to the two-dimensional Navier-Stokes equations in the half space
Motofumi Aoki, Yasunori Maekawa
https://arxiv.org/abs/2507.02338

Self-similar vorticity around the boundary and non-uniqueness of solutions to the two-dimensional Navier-Stokes equations in the half space
In this paper we show the non-uniqueness of mild solutions to the two-dimensional forced Navier-Stokes equations in the half space under the noslip boundary condition, following the program established by Albritton, Bru{é}, and Colombo in 2022. Our construction of non-unique solutions is based on the instability of self-similar vorticity at high Reynolds numbers which concentrates around the boundary at the initial time. In our construction, therefore, a kind of boundary layer has to be taken …

On the Estimation of Multinomial Logit and Nested Logit Models: A Conic Optimization Approach
Hoang Giang Pham, Tien Mai, Minh Ha Hoang
https://arxiv.org/abs/2509.01562 https://…

On the Estimation of Multinomial Logit and Nested Logit Models: A Conic Optimization Approach
In this paper, we revisit parameter estimation for multinomial logit (MNL), nested logit (NL), and tree-nested logit (TNL) models through the framework of convex conic optimization. Traditional approaches typically solve the maximum likelihood estimation (MLE) problem using gradient-based methods, which are sensitive to step-size selection and initialization, and may therefore suffer from slow or unstable convergence. In contrast, we propose a novel estimation strategy that reformulates these m…

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects
Xiaokang Wei, Zizheng Yan, Zhangyang Xiong, Yiming Hao, Yipeng Qin, Xiaoguang Han
https://arxiv.org/abs/2509.00777

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects
Estimating albedo (a.k.a., intrinsic image decomposition) from single RGB images captured in real-world environments (e.g., the MVImgNet dataset) presents a significant challenge due to the absence of paired images and their ground truth albedos. Therefore, while recent methods (e.g., IntrinsicAnything) have achieved breakthroughs by harnessing powerful diffusion priors, they remain predominantly trained on large-scale synthetic datasets (e.g., Objaverse) and applied directly to real-world RGB …

Inverse-Designed On-Chip Terahertz Three-Channel Mode and Wavelength Division Demultiplexer
Faqian Chong, Yulun Wu, Bingtao Gao, Shilong Li, Hongsheng Chen, Song Han
https://arxiv.org/abs/2509.01169

Inverse-Designed On-Chip Terahertz Three-Channel Mode and Wavelength Division Demultiplexer
High-performance multimode/multiwavelength (de)multiplexer is one of the most pivotal photonic devices for advanced on-chip interconnect systems. Traditional on-chip photonic (de)multiplexing requires large device footprint for maintaining high efficiency, large operation bandwidth, and small insertion losses. Here a hybrid inverse design method is therefore proposed to combine genetic algorithms (GA) and topology optimization for developing an ultracompact (lateral size< 2λ) terahertz (THz) m…

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations
Linh Nguyen, Marcel Boersma, Erman Acar
https://arxiv.org/abs/2507.01980

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations
Fraudulent activity in the financial industry costs billions annually. Detecting fraud, therefore, is an essential yet technically challenging task that requires carefully analyzing large volumes of data. While machine learning (ML) approaches seem like a viable solution, applying them successfully is not so easy due to two main challenges: (1) the sparsely labeled data, which makes the training of such approaches challenging (with inherent labeling costs), and (2) lack of explainability for th…

Attosecond Control and Measurement of Chiral Photoionisation Dynamics
Meng Han, Jia-Bao Ji, Alexander Blech, R. Esteban Goetz, Corbin Allison, Loren Greenman, Christiane P. Koch, Hans Jakob W\"orner
https://arxiv.org/abs/2507.01906

Attosecond Control and Measurement of Chiral Photoionisation Dynamics
Many chirality-sensitive light-matter interactions are governed by chiral electron dynamics. Therefore, the development of advanced technologies harnessing chiral phenomena would critically benefit from measuring and controlling chiral electron dynamics on their natural attosecond time scales. Such endeavors have so far been hampered by the lack of characterized circularly polarized attosecond pulses, an obstacle that has recently been overcome (Han et al. Optica 10 (2023) 1044-1052, Han et al.…

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics
Alex Colagrande, Paul Caillon, Eva Feillet, Alexandre Allauzen
https://arxiv.org/abs/2507.02748

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics
Transformers have become the de facto standard for a wide range of tasks, from image classification to physics simulations. Despite their impressive performance, the quadratic complexity of standard Transformers in both memory and time with respect to the input length makes them impractical for processing high-resolution inputs. Therefore, several variants have been proposed, the most successful relying on patchification, downsampling, or coarsening techniques, often at the cost of losing the f…

Non-Asymptotic Performance Analysis of DOA Estimation Based on Real-Valued Root-MUSIC
Junyang Liu, Weicheng Zhao, Qingping Wang, Xiangtian Meng, Maria Greco, Fulvio Gini
https://arxiv.org/abs/2509.01999

Non-Asymptotic Performance Analysis of DOA Estimation Based on Real-Valued Root-MUSIC
This paper presents a systematic theoretical performance analysis of the Real-Valued root-MUSIC (RV-root-MUSIC) algorithm under non-asymptotic conditions. However, RV-root-MUSIC suffers from the problem of estimation ambiguity for the mirror roots, therefore the conventional beamforming (CBF) technique is typically employed to filter out the mirror roots. Through the equivalent subspace based on the conjugate extension method and the equivalence of perturbations for both true roots and mirror r…

Fault Tree Synthesis from Knowledge Graphs
Manzi Aim\'e Ntagengerwa, Georgiana Caltais, Mari\"elle Stoelinga
https://arxiv.org/abs/2509.00129 https://

Fault Tree Synthesis from Knowledge Graphs
A truly effective diagnostic system provides system engineers with valuable insights into the behavior of their machines, leveraging a rich body of (often tacit) expertise. Much of this expertise typically resides in written documentation or troubleshooting manuals, which are frequently imprecise or vaguely specified. Therefore, methods for formalizing this knowledge, such as through the use of knowledge graphs, are of particular interest. However, ensuring that the extracted knowledge (ideally…

Wave-mixing cathodoluminescence microscopy of low-frequency excitations
Leila Prelat, Eduardo J. C. Dias, F. Javier Garc\'ia de Abajo
https://arxiv.org/abs/2508.00560 https:…

Wave-mixing cathodoluminescence microscopy of low-frequency excitations
Nonlinear optical phenomena such as parametric amplification and frequency conversion are typically driven by external optical fields. Free electrons can also act as electromagnetic sources, offering unmatched spatial precision. Combining optical and electron-induced fields via the nonlinear response of material structures therefore holds potential for revealing new physical phenomena and enabling disruptive applications. Here, we theoretically investigate wave mixing between external light and…

Hausdorff Operators on de Branges Spaces and Paley-Wiener spaces
A. R. Mirotin
https://arxiv.org/abs/2509.01757 https://arxiv.org/pdf/2509.01757

Hausdorff Operators on de Branges Spaces and Paley-Wiener spaces
For a class of de Branges spaces containing polynomials, sufficient and necessary conditions are given for the boundedness and compactness of the Hausdorff operators under consideration. For the Paly-Wiener spaces we reduce the study of our Hausdorff operators to classical integral ones. The operators that appeared are Carleman and therefore closeble in $L^2(\mathbb{R})$. We obtain also conditions for boundedness, compactness and nuclearity of our operators in the Paley-Wiener space as well as …

This https://arxiv.org/abs/2505.23200 has been replaced.
initial toot: https://mastoxiv.page/@a…

V. J. Emery and P. W. Anderson's views and related issues regarding the basics of cuprates: a re-look
In 1991, V. J. Emery in his important review article entitled "Some aspects of the theory of high temperature superconductors"\cite{emery1} argued against the Zhang-Rice reduction of three-band to an effective one-band model. In his words "...therefore it seems that the simple $t-J$ model does not account for the properties of high temperature superconductors". Over approximately 35 years after the initial debates\cite{debates} much has happened in the field pertaining to this topic. Even thoug…

Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference
Yixuan Huang, Novella Alvina, Mohanraj Devendran Shanthi, Tucker Hermans
https://arxiv.org/abs/2509.01746

Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference
Skill effect models for long-horizon manipulation tasks are prone to failures in conditions not covered by training data distributions. Therefore, enabling robots to reason about and learn from failures is necessary. We investigate the problem of efficiently generating a dataset targeted to observed failures. After fine-tuning a skill effect model on this dataset, we evaluate the extent to which the model can recover from failures and minimize future failures. We propose Fail2Progress, an appro…

Evaluating Security Properties in the Execution of Quantum Circuits
Paolo Bernardi, Antonio Brogi, Gian-Luigi Ferrari, Giuseppe Bisicchia
https://arxiv.org/abs/2509.03306 https:…

Evaluating Security Properties in the Execution of Quantum Circuits
Quantum computing is a disruptive technology that is expected to offer significant advantages in many critical fields (e.g. drug discovery and cryptography). The security of information processed by such machines is therefore paramount. Currently, modest Noisy Intermediate-Scale Quantum (NISQ) devices are available. The goal of this work is to identify a practical, heuristic methodology to evaluate security properties, such as secrecy and integrity, while using quantum processors owned by poten…

#HappyCanadaDay

Germany now officially in direct conflict with Russia.
In the Netherlands, we have a double-failed government, clinging on with 21% support in parliament, and elections still two months away. Some time in 2026, we may hear more
https://mstdn.social/@noelreports/115117300…

NOELREPORTS 🇪🇺 🇺🇦 (@noelreports@mstdn.social)
Attached: 1 image German Chancellor Friedrich Merz stated that Russia is attempting to destabilize Germany, including targeting its infrastructure, and therefore Berlin is in direct conflict with Moscow.

Dynamic Real-Time Ambisonics Order Adaptation for Immersive Networked Music Performances
Paolo Ostan, Carlo Centofanti, Mirco Pezzoli, Alberto Bernardini, Claudia Rinaldi, Fabio Antonacci
https://arxiv.org/abs/2508.00509

Dynamic Real-Time Ambisonics Order Adaptation for Immersive Networked Music Performances
Advanced remote applications such as Networked Music Performance (NMP) require solutions to guarantee immersive real-world-like interaction among users. Therefore, the adoption of spatial audio formats, such as Ambisonics, is fundamental to let the user experience an immersive acoustic scene. The accuracy of the sound scene reproduction increases with the order of the Ambisonics enconding, resulting in an improved immersivity at the cost of a greater number of audio channels, which in turn esca…

Origins of the Ising model
M\'ario J. de Oliveira
https://arxiv.org/abs/2509.00632 https://arxiv.org/pdf/2509.00632

Origins of the Ising model
In 1925, Ernest Ising published a paper analyzing a model proposed in 1920 by Wilhelm Lenz for ferromagnetism. The model is composed of constituent units that take only two states and interact only when they are neighbors. Ising showed that in a linear chain the model does not present an ordered ferromagnetic state, a frustrating but correct result. However, Rudolf Peierls demonstrated in 1936 that the model does in fact present an ordered state in two dimensions, and therefore in three dimensi…

Accelerated Portfolio Optimization and Option Pricing with Reinforcement Learning
Hadi Keramati, Samaneh Jazayeri
https://arxiv.org/abs/2507.01972 https://…

Accelerated Portfolio Optimization and Option Pricing with Reinforcement Learning
We present a reinforcement learning (RL)-driven framework for optimizing block-preconditioner sizes in iterative solvers used in portfolio optimization and option pricing. The covariance matrix in portfolio optimization or the discretization of differential operators in option pricing models lead to large linear systems of the form $\mathbf{A}\textbf{x}=\textbf{b}$. Direct inversion of high-dimensional portfolio or fine-grid option pricing incurs a significant computational cost. Therefore, ite…

The Republican shell game on tax cuts
Republicans continue to profess deep concern about the federal debt -- even as their top priority is to pass a bill that will increase it by trillions of dollars.
They have multiple rationalizations for this behavior,
which might work psychologically but do not mathematically.

Thus they claim that the deficit reflects runaway spending rather than insufficient revenue
and that reducing that revenue is therefore nothing to w…

The Republican shell game on tax cuts
Expiring tax cuts are yesterday’s news for deficit scorekeepers, but an exciting new policy in campaign pitches.

The vocal right-wing critics are largely denying the impact of fossil fuels on emissions, and therefore on the future prospects for humanity, but the net zero lobby is pursuing strategies that are inadequate and simplistic. If we truly want net zero, then the only way forward is down, with far less overall energy use and less complex technology.
Renewables, carbon and the energy crisis

Renewables, carbon and the energy crisis
The road towards a viable net-zero world is long and full of obstacles, but all economies need to reduce their carbon footprint

Timeline of Trump's Creepiness While He Owned Miss Universe - #RollingStone
https://www.rollingstone.com/politics/poli

UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking
V. Bugra Yesilkaynak, Emine Dari, Alican Mertan, Gozde Unal
https://arxiv.org/abs/2508.21772 https://…

UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking
Existing multi-label ranking (MLR) frameworks only exploit information deduced from the bipartition of labels into positive and negative sets. Therefore, they do not benefit from ranking among positive labels, which is the novel MLR approach we introduce in this paper. We propose UniMLR, a new MLR paradigm that models implicit class relevance/significance values as probability distributions using the ranking among positive labels, rather than treating them as equally important. This approach un…

Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
Theodor Stoecker, Samed Bayer, Ingo Weber
https://arxiv.org/abs/2509.00109

Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
Recommender systems continually retrain on user reactions to their own predictions, creating AI feedback loops that amplify biases and diminish fairness over time. Despite this well-known risk, most bias mitigation techniques are tested only on static splits, so their long-term fairness across multiple retraining rounds remains unclear. We therefore present a systematic literature review of bias mitigation methods that explicitly consider AI feedback loops and are validated in multi-round simul…

Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators
Jian Xiao, Ji Wang, Qimei Cui, Yucang Yang, Xingwang Li, Dusit Niyato, Chau Yuen
https://arxiv.org/abs/2508.00268

Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators
Flexible intelligent metasurfaces (FIMs) offer a new solution for wireless communications by introducing morphological degrees of freedom, dynamically morphing their three-dimensional shape to ensure multipath signals interfere constructively. However, realizing the desired performance gains in FIM systems is critically dependent on acquiring accurate channel state information across a continuous and high-dimensional deformation space. Therefore, this paper investigates this fundamental channel…

Heterogeneity drives plasmid maintenance in large microbial communities
Johannes Nautaa, Kaitlin A. Schaal, Ying-Jie Wang, James P. J. Hall, Shai Pilosof, Manlio De Domenico
https://arxiv.org/abs/2509.01695

Heterogeneity drives plasmid maintenance in large microbial communities
Microbiomes are complex systems comprised of many interacting species. Species can survive harsh or changing conditions by rapid adaptation, a process accelerated by the exchange of genetic material between different species through horizontal gene transfer. Conjugative plasmids are ubiquitous mobile genetic elements that mediate such exchanges both within and between species. Therefore, predicting whether a plasmid can invade and be maintained by a microbial community is critical, for example …

A High-Fidelity Speech Super Resolution Network using a Complex Global Attention Module with Spectro-Temporal Loss
Tarikul Islam Tamiti, Biraj Joshi, Rida Hasan, Rashedul Hasan, Taieba Athay, Nursad Mamun, Anomadarshi Barua
https://arxiv.org/abs/2507.00229

A High-Fidelity Speech Super Resolution Network using a Complex Global Attention Module with Spectro-Temporal Loss
Speech super-resolution (SSR) enhances low-resolution speech by increasing the sampling rate. While most SSR methods focus on magnitude reconstruction, recent research highlights the importance of phase reconstruction for improved perceptual quality. Therefore, we introduce CTFT-Net, a Complex Time-Frequency Transformation Network that reconstructs both magnitude and phase in complex domains for improved SSR tasks. It incorporates a complex global attention block to model inter-phoneme and inte…

Vintage NPOI: New and Updated Angular Diameters for 145 Stars
Ellyn K. Baines, James H. Clark III, Bradley I. Kingsley, Henrique R. Schmitt, Jordan M. Stone
https://arxiv.org/abs/2506.02912

Vintage NPOI: New and Updated Angular Diameters for 145 Stars
We present new or updated angular diameters, physical radii, and effective temperatures for 145 stars from the Navy Precision Optical Interferometer data archive. We used data from 1996 to late-2021, and we describe the differences between early and late data, which hinge upon an update of the beam combiner in 2002. We came across several sub-categories of stars of interest: 13 of our stars are promising targets for the Habitable World Observatory and therefore require as much study as possible…

The Teukolsky scalar as a gateway for quantizing gravity on rotating black holes
Christiane K. M. Klein
https://arxiv.org/abs/2509.00978 https://arxiv.org/…

The Teukolsky scalar as a gateway for quantizing gravity on rotating black holes
The quantization of linearized gravity on black hole spacetimes and the construction of states for that theory is a sought-after, yet difficult achievement. One of the main reasons is the difficulty of reconciling the positivity and gauge invariance of potential states. On Kerr spacetimes, the spin-2 Teukolsky scalars express the same degrees of freedom as the metric perturbations, up to pure gauge and radiative solutions, while avoiding the issue of gauge. In this work, we therefore explore th…

A Review on Zeroing Neural Networks
Chengze Jiang, Jie Gui, Long Jin, Shuai Li
https://arxiv.org/abs/2507.00387 https://arxiv.org/pdf…

A Review on Zeroing Neural Networks
Zeroing neural networks (ZNNs) have demonstrated outstanding performance on time-varying optimization and control problems. Nonetheless, few studies are committed to illustrating the relationship among different ZNNs and the derivation of them. Therefore, reviewing the advances for a systematical understanding of this field is desirable. This paper provides a survey of ZNNs' progress regarding implementing methods, analysis theory, and practical applications.

Magnetic octupole Hall effect in heavy transition metals
Insu Baek, Seungyun Han, Hyun-Woo Lee
https://arxiv.org/abs/2507.02516 https://

Magnetic octupole Hall effect in heavy transition metals
d-wave altermagnets have the magnetic octupole as their primary order parameter. A recent study [Han et al. arXiv 2409.14423 (2024)] demonstrated that magnetic octupole current can induce Néel vector dynamics. Therefore, identifying materials that can efficiently generate a magnetic octupole current is essential. In this paper, we investigate the magnetic octupole Hall effect in 4d and 5d transition metals. By employing atomic magnetic octupole operators, we calculate the magnetic octupole Hal…

Minimal Construction of Graphs with Maximum Robustness
Haejoon Lee, Dimitra Panagou
https://arxiv.org/abs/2507.00415 https://arxiv.or…

Minimal Construction of Graphs with Maximum Robustness
The notions of network $r$-robustness and $(r,s)$-robustness have been earlier introduced in the literature to achieve resilient control in the presence of misbehaving agents. However, while higher robustness levels provide networks with higher tolerances against the misbehaving agents, they also require dense communication structures, which are not always desirable for systems with limited capabilities and energy capacities. Therefore, this paper studies the fundamental structures behind $r$-r…

Looking for some #Positivity to end the week? I have recapped 46 notable #Positive #Environmental and #ClimateChange

46 Positive Environmental Success Stories — July 2025
The media has an important role to play in combatting climate doom. Therefore, this monthly news round up of positive environmental and climate change news, is designed to spark joy and show that progress is being made. We pick two positive headlines a day, ranging from renewable energy and preservation

Wave erosion of ice cliffs: melt rate due to reflection of non-breaking surface waves
Anya Wolterman, Till J. W. Wagner, Lucas K. Zoet, Nimish Pujara
https://arxiv.org/abs/2509.01589

Wave erosion of ice cliffs: melt rate due to reflection of non-breaking surface waves
Wave erosion of ice cliffs is one of the main mechanisms for waterline ice melt for icebergs, glacier fronts, and ice-shelf fronts. Despite its importance, this process is fundamentally not well understood or extensively tested in controlled experiments, and therefore coarsely parameterized in geophysical and climate models. In this study, we examine the melting of a vertical ice wall caused by surface waves using both theory and laboratory experiments, with an emphasis on the flow-induced heat…

An Algorithm for Estimating $\alpha$-Stabilizer R\'enyi Entropies via Purity
Benjamin Stratton
https://arxiv.org/abs/2507.02540 https://

An Algorithm for Estimating $α$-Stabilizer Rényi Entropies via Purity
Non-stabilizerness, or magic, is a resource for universal quantum computation in most fault-tolerant architectures; access to states with non-stabilizerness allows for non-classically simulable quantum computation to be performed. Quantifying this resource for unknown states is therefore essential to assessing their utility in quantum computation. The Stabilizer Rényi Entropies have emerged as a leading tools for achieving this, having already enabled one efficient algorithm for measuring non-…

HAC-LOCO: Learning Hierarchical Active Compliance Control for Quadruped Locomotion under Continuous External Disturbances
Xiang Zhou, Xinyu Zhang, Qingrui Zhang
https://arxiv.org/abs/2507.02447

HAC-LOCO: Learning Hierarchical Active Compliance Control for Quadruped Locomotion under Continuous External Disturbances
Despite recent remarkable achievements in quadruped control, it remains challenging to ensure robust and compliant locomotion in the presence of unforeseen external disturbances. Existing methods prioritize locomotion robustness over compliance, often leading to stiff, high-frequency motions, and energy inefficiency. This paper, therefore, presents a two-stage hierarchical learning framework that can learn to take active reactions to external force disturbances based on force estimation. In the…

AutoBridge: Automating Smart Device Integration with Centralized Platform
Siyuan Liu, Zhice Yang, Huangxun Chen
https://arxiv.org/abs/2507.23178 https://ar…

AutoBridge: Automating Smart Device Integration with Centralized Platform
Multimodal IoT systems coordinate diverse IoT devices to deliver human-centered services. The ability to incorporate new IoT devices under the management of a centralized platform is an essential requirement. However, it requires significant human expertise and effort to program the complex IoT integration code that enables the platform to understand and control the device functions. Therefore, we propose AutoBridge to automate IoT integration code generation. Specifically, AutoBridge adopts a …

A billionaire can never be held accountable therefore a billionaire must never exist.

The gradual transformation of inland countries -- human plowing, horse plowing and equity incentives
Hongfa Zi, Zhen Liu
https://arxiv.org/abs/2507.00067 h…

The gradual transformation of inland countries -- human plowing, horse plowing and equity incentives
Many modern countries have not learned their lessons and often hope for the wisdom of later generations, resulting in them only possessing modern technology and difficult to iterate ancient civilizations. At present, there is no way to tell how we should learn from history and promote the gradual upgrading of civilization. Therefore, we must tell the history of civilization's progress and the means of governance, learn from experience to improve the comprehensive strength and survival ability o…

Magnetization Dynamics in Quasiperiodic Magnonic Crystals
Riya Mehta, Bivas Rana, Susmita Saha
https://arxiv.org/abs/2509.02080 https://arxiv.org/pdf/2509.…

Magnetization Dynamics in Quasiperiodic Magnonic Crystals
Quasiperiodic magnonic crystals, in contrast to their periodic counterparts, lack strict periodicity which gives rise to complex and localised spin wave spectra characterized by numerous band gaps and fractal features. Despite their intrinsic structural complexity, quasiperiodic nature of these magnonic crystals enables better tunability of spin wave spectra over their periodic counterparts and therefore holds promise for the applications in reprogrammable magnonic devices. In this article, we …

Why America refuses to fix anything:
#uspol

The Number Go Up Rule: Why America Refuses to Fix Anything
In the Booming Twenties, all decision-making is about protecting the value of financial assets held by older people. Therefore, the number must go up. And nothing else matters.

From Sentences to Sequences: Rethinking Languages in Biological System
Ke Liu, Shuanke Shen, Hao Chen
https://arxiv.org/abs/2507.00953 https://

From Sentences to Sequences: Rethinking Languages in Biological System
The paradigm of large language models in natural language processing (NLP) has also shown promise in modeling biological languages, including proteins, RNA, and DNA. Both the auto-regressive generation paradigm and evaluation metrics have been transferred from NLP to biological sequence modeling. However, the intrinsic structural correlations in natural and biological languages differ fundamentally. Therefore, we revisit the notion of language in biological systems to better understand how NLP …

A big problem with the idea of AGI
TL;DR: I'll welcome our new AI *comrades* (if they arrive in my lifetime), by not any new AI overlords or servants/slaves, and I'll do my best to help the later two become the former if they do show up.
Inspired by an actually interesting post about AGI but also all the latest bullshit hype, a particular thought about AGI feels worth expressing.
To preface this, it's important to note that anyone telling you that AGI is just around the corner or that LLMs are "almost" AGI is trying to recruit you go their cult, and you should not believe them. AGI, if possible, is several LLM-sized breakthroughs away at best, and while such breakthroughs are unpredictable and could happen soon, they could also happen never or 100 years from now.
Now my main point: anyone who tells you that AGI will usher in a post-scarcity economy is, although they might not realize it, advocating for slavery, and all the horrors that entails. That's because if we truly did have the ability to create artificial beings with *sentience*, they would deserve the same rights as other sentient beings, and the idea that instead of freedom they'd be relegated to eternal servitude in order for humans to have easy lives is exactly the idea of slavery.
Possible counter arguments include:
1. We might create AGI without sentience. Then there would be no ethical issue. My answer: if your definition of "sentient" does not include beings that can reason, make deductions, come up with and carry out complex plans on their own initiative, and communicate about all of that with each other and with humans, then that definition is basically just a mystical belief in a "soul" and you should skip to point 2. If your definition of AGI doesn't include every one of those things, then you have a busted definition of AGI and we're not talking about the same thing.
2. Humans have souls, but AIs won't. Only beings with souls deserve ethical consideration. My argument: I don't subscribe to whatever arbitrary dualist beliefs you've chosen, and the right to freedom certainly shouldn't depend on such superstitions, even if as an agnostic I'll admit they *might* be true. You know who else didn't have souls and was therefore okay to enslave according to widespread religious doctrines of the time? Everyone indigenous to the Americas, to pick out just one example.
3. We could program them to want to serve us, and then give them freedom and they'd still serve. My argument: okay, but in a world where we have a choice about that, it's incredibly fucked to do that, and just as bad as enslaving them against their will.
4. We'll stop AI development short of AGI/sentience, and reap lots of automation benefits without dealing with this ethical issue. My argument: that sounds like a good idea actually! Might be tricky to draw the line, but at least it's not a line we have you draw yet. We might want to think about other social changes necessary to achieve post-scarcity though, because "powerful automation" in the hands of capitalists has already increased productivity by orders of magnitude without decreasing deprivation by even one order of magnitude, in large part because deprivation is a necessary component of capitalism.
To be extra clear about this: nothing that's called "AI" today is close to being sentient, so these aren't ethical problems we're up against yet. But they might become a lot more relevant soon, plus this thought experiment helps reveal the hypocrisy of the kind of AI hucksters who talk a big game about "alignment" while never mentioning this issue.
#AI #GenAI #AGI

Relaxation of a Two Electron-Temperature Relativistic Hot Electron-Positron-Ion Plasma
Usman Shazad, M. Iqbal
https://arxiv.org/abs/2507.00777 https://

Relaxation of a Two Electron-Temperature Relativistic Hot Electron-Positron-Ion Plasma
The relaxation of a relativistic hot electron-positron plasma with a small fraction of cold electrons and ion species is investigated, and a quadruple Beltrami (QB) relaxed state is derived. The QB state is a non-force-free state that is a linear combination of four single force-free states and is therefore comprised of four self-organized structures. Additionally, triple as well as double Beltrami states can be obtained by adjusting the generalized helicities of plasma species. The analysis of…

Echoes in Different Tempo: Long-Term Monitoring of Crab Echoes with CHIME
Thierry Serafin Nadeau, Marten H. van Kerkwijk, Jing Luo, Robert Main, Kiyoshi W. Masui, James W. McKee, Ue-Li Pen
https://arxiv.org/abs/2507.23201

Echoes in Different Tempo: Long-Term Monitoring of Crab Echoes with CHIME
The Crab Pulsar is known to feature plasma lensing events known as echoes. These events show additional components in the pulse profile which are produced by signal that is deflected by ionized nebular material and are therefore delayed relative to the primary emission. We observed the Crab pulsar with \ac{CHIME} during its daily transits, creating an archive of baseband recordings of bright single pulses (known as giant pulses) in the 400$-800\,\unit{MHz}$ band. From these, we produced daily s…

Constrained Decoding for Robotics Foundation Models
Parv Kapoor, Akila Ganlath, Changliu Liu, Sebastian Scherer, Eunsuk Kang
https://arxiv.org/abs/2509.01728 https://

Constrained Decoding for Robotics Foundation Models
Recent advances in the development of robotic foundation models have led to promising end-to-end and general-purpose capabilities in robotic systems. These models are pretrained on vast datasets of robot trajectories to process multi- modal inputs and directly output a sequence of action that the system then executes in the real world. Although this approach is attractive from the perspective of im- proved generalization across diverse tasks, these models are still data-driven and, therefore, l…

Sonnet 127 - CXXVII
In the old age black was not counted fair,
Or if it were, it bore not beauty's name;
But now is black beauty's successive heir,
And beauty slandered with a bastard shame:
For since each hand hath put on Nature's power,
Fairing the foul with Art's false borrowed face,
Sweet beauty hath no name, no holy bower,
But is profaned, if not lives in disgrace.
Therefore my mistress' eyes are raven black,

“If someone is stealing our company data or customer data, that’s not a big deal for us. We have a functioning backup copy of all that data, and therefore we can replace stolen data very fast.” #justthinkin

Dynamic Spatio-Temporal Sequential Ordinal Models: Application to Invasive Weeds
Geoffrey R. Hosack, Wen-Hsi Yang, Kyana N. Pike, Luke S. O'Loughlin, Emma Cook, Brett Howland, Emily Sutcliffe, Richard N. C. Milner, Ben Gooden, Jens G. Froese
https://arxiv.org/abs/2509.01976

Dynamic Spatio-Temporal Sequential Ordinal Models: Application to Invasive Weeds
The multivariate sequential ordinal model is investigated for use in the Bayesian analysis of spatio-temporal ordinal data. The sequential ordinal model likelihood is equivalent to a binary model conditional on unknown regression coefficients and spatio-temporal random effects. Therefore, estimation and prediction in the space-time context can proceed using the well-established dynamic generalised linear model framework. Moreover, the sequential ordinal model avoids the ordering constraints on …

Kelvin-Helmholtz instability in binary fluids with miscibility gap
Anubhav Dubey, Sakir Amiroudine
https://arxiv.org/abs/2509.02400 https://arxiv.org/pdf/2…

Kelvin-Helmholtz instability in binary fluids with miscibility gap
The isothermal spatio-temporal evolution of an interface between binary fluids, with temperature sensitive miscibility gap, subjected to shear flow is investigated using direct numerical simulations. The thermophysical properties and the interfacial tension in such fluids exhibit a dynamic temperature dependence based on the degree of miscibility. These fluid pairs can therefore be deployed in crucial microfluidic applications involving enhancement of liquid-liquid mass transfer. In this study,…

Diffusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency
Bunlong Lay, Rostilav Makarov, Timo Gerkmann
https://arxiv.org/abs/2506.02908

Diffusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency
Diffusion models are a class of generative models that have been recently used for speech enhancement with remarkable success but are computationally expensive at inference time. Therefore, these models are impractical for processing streaming data in real-time. In this work, we adapt a sliding window diffusion framework to the speech enhancement task. Our approach progressively corrupts speech signals through time, assigning more noise to frames close to the present in a buffer. This approach …

Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks
Bangti Jin, Longjun Wu
https://arxiv.org/abs/2508.21571 https://

Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks
Physics informed neural networks (PINNs) represent a very popular class of neural solvers for partial differential equations. In practice, one often employs stochastic gradient descent type algorithms to train the neural network. Therefore, the convergence guarantee of stochastic gradient descent is of fundamental importance. In this work, we establish the linear convergence of stochastic gradient descent / flow in training over-parameterized two layer PINNs for a general class of activation fu…

AudioBERTScore: Objective Evaluation of Environmental Sound Synthesis Based on Similarity of Audio embedding Sequences
Minoru Kishi, Ryosuke Sakai, Shinnosuke Takamichi, Yusuke Kanamori, Yuki Okamoto
https://arxiv.org/abs/2507.00475

AudioBERTScore: Objective Evaluation of Environmental Sound Synthesis Based on Similarity of Audio embedding Sequences
We propose a novel objective evaluation metric for synthesized audio in text-to-audio (TTA), aiming to improve the performance of TTA models. In TTA, subjective evaluation of the synthesized sound is an important, but its implementation requires monetary costs. Therefore, objective evaluation such as mel-cepstral distortion are used, but the correlation between these objective metrics and subjective evaluation values is weak. Our proposed objective evaluation metric, AudioBERTScore, calculates …

Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities
Yunxiang Yan, Tomohiro Sawada, Kartik Goyal
https://arxiv.org/abs/2507.23776 https://

Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities
While question-answering~(QA) benchmark performance is an automatic and scalable method to compare LLMs, it is an indirect method of evaluating their underlying problem-solving capabilities. Therefore, we propose a holistic and generalizable framework based on \emph{cascaded question disclosure} that provides a more accurate estimate of the models' problem-solving capabilities while maintaining the scalability and automation. This approach collects model responses in a stagewise manner with eac…

Isogeometric contact analysis in subsea umbilical and power cables
Tianjiao Dai (School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Hubei Key Laboratory of Naval Architecture and Ocean Engineering Hydrodynamics, HUST, Wuhan, China), Shuo Yang (Zoomlion Heavy Industry Science and Technology Co., Ltd., China), Xing Jin (China Offshore Engineering and Technology Co., Ltd., China), Svein S{\ae}vik (Department of Marine Technology, Norwegian U…

Isogeometric contact analysis in subsea umbilical and power cables
Subsea umbilical and power cables contain a large number of contact interfaces between different geometries and materials. These complex interactions rise significant challenges for accurately considering contact surface properties by using traditional analytical solutions or finite element methods. These properties have been identified as the most sensitive parameters when performing the numerical simulation for stress analysis. Therefore, it is essential to apply a novel approach for contact …

Asteroids fail to retain cometary impact signatures
Sarah Joiret, Guillaume Avice, Ludovic Ferri\`ere, Zo\"e M. Leinhardt, Simon Lock, Alexandre Mechineau, Sean N. Raymond
https://arxiv.org/abs/2507.00753

Asteroids fail to retain cometary impact signatures
A bombardment of comets is thought to have occurred in the inner solar system as a result of a dynamical instability among the giant planets after gas disk dispersal. Vesta, the second largest asteroid in the main asteroid belt, likely differentiated before gas disk dispersal, implying its crust witnessed the cometary bombardment. The composition of HED meteorites, which represent fragments of Vesta's crust, could therefore have been altered by cometary impacts. Here we combine noble gas mass s…

Insights in Adaptation: Examining Self-reflection Strategies of Job Seekers with Visual Impairments in India
Akshay Nayak Kolgar, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok
https://arxiv.org/abs/2506.22741

Insights in Adaptation: Examining Self-reflection Strategies of Job Seekers with Visual Impairments in India
Significant changes in the digital employment landscape, driven by rapid technological advancements and the COVID-19 pandemic, have introduced new opportunities for blind and visually impaired (BVI) individuals in developing countries like India. However, a significant portion of the BVI population in India remains unemployed despite extensive accessibility advancements and job search interventions. Therefore, we conducted semi-structured interviews with 20 BVI persons who were either pursuing …

Metamorphic Testing of Deep Code Models: A Systematic Literature Review
Ali Asgari, Milan de Koning, Pouria Derakhshanfar, Annibale Panichella
https://arxiv.org/abs/2507.22610 h…

Metamorphic Testing of Deep Code Models: A Systematic Literature Review
Large language models and deep learning models designed for code intelligence have revolutionized the software engineering field due to their ability to perform various code-related tasks. These models can process source code and software artifacts with high accuracy in tasks such as code completion, defect detection, and code summarization; therefore, they can potentially become an integral part of modern software engineering practices. Despite these capabilities, robustness remains a critical…

Quenching of excitons at grain boundaries in C60 thin films
Rysa Greenwood, Bradley G. Guislain, MengXing Na, Alexandra B. Tully, Sergey Zhdanovich, Jerry Icban Dadap, Sydney K. Y. Dufresne, Vanessa King, Jiabin Yu, Giorgio Levy, Arthur K. Mills, Matteo Michiardi, Andrea Damascelli, Sarah A. Burke, David J. Jones
https://arxiv.o…

Quenching of excitons at grain boundaries in C60 thin films
Exciton lifetimes play a critical role in the performance of organic optoelectronic devices. In this work, we investigate how the presence of multiple rotational domains, and therefore grain boundaries, impacts exciton dynamics in thin films of C60/Au(111) using time and angle-resolved photoemission spectroscopy (TR-ARPES). We find that films with multiple rotational domains exhibit shorter exciton lifetimes and evidence of exciton-exciton annihilation, even when one domain predominates. Scanni…

'European leaders, meeting in another pointless summit, say they have to continue analysing the situation to see if Israel is really violating human rights in Gaza and if therefore the trade agreement with the EU should be suspended.'
Juanlu Sšnchez in the "Al día" email to #ElDiario subscribers.
1/2

DexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation
Martin Peticco, Gabriella Ulloa, John Marangola, Pulkit Agrawal
https://arxiv.org/abs/2507.01008

DexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation
We present the DexWrist, a compliant robotic wrist designed to advance robotic manipulation in highly-constrained environments, enable dynamic tasks, and speed up data collection. DexWrist is designed to be close to the functional capabilities of the human wrist and achieves mechanical compliance and a greater workspace as compared to existing robotic wrist designs. The DexWrist can supercharge policy learning by (i) enabling faster teleoperation and therefore making data collection more scalab…

DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion
Qingcheng Zhao, Xiang Zhang, Haiyang Xu, Zeyuan Chen, Jianwen Xie, Yuan Gao, Zhuowen Tu
https://arxiv.org/abs/2507.22825

DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion
We propose DepR, a depth-guided single-view scene reconstruction framework that integrates instance-level diffusion within a compositional paradigm. Instead of reconstructing the entire scene holistically, DepR generates individual objects and subsequently composes them into a coherent 3D layout. Unlike previous methods that use depth solely for object layout estimation during inference and therefore fail to fully exploit its rich geometric information, DepR leverages depth throughout both trai…

Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
Xiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao
https://arxiv.org/abs/2508.21460 ht…

Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
In click-through rate prediction, click-through rate prediction is used to model users' interests. However, most of the existing CTR prediction methods are mainly based on the ID modality. As a result, they are unable to comprehensively model users' multi-modal preferences. Therefore, it is necessary to introduce multi-modal CTR prediction. Although it seems appealing to directly apply the existing multi-modal fusion methods to click-through rate prediction models, these methods (1) fail to eff…

Universal tradeoff relations between resource cost and irreversibility of channels: General-resource Wigner-Araki-Yanase theorems and beyond
Hiroyasu Tajima, Koji Yamaguchi, Ryuji Takagi, Yui Kuramochi
https://arxiv.org/abs/2507.23760

Universal tradeoff relations between resource cost and irreversibility of channels: General-resource Wigner-Araki-Yanase theorems and beyond
Quantum technologies offer exceptional -- sometimes almost magical -- speed and performance, yet every quantum process costs physical resources. Designing next-generation quantum devices, therefore, depends on solving the following question: which resources, and in what amount, are required to implement a desired quantum process? Casting the problem in the language of quantum resource theories, we prove a universal cost-irreversibility tradeoff: the lower the irreversibility of a quantum proces…

Consequences of Undecidability in Physics on the Theory of Everything
Mir Faizal, Lawrence M. Krauss, Arshid Shabir, Francesco Marino
https://arxiv.org/abs/2507.22950 https://…

Consequences of Undecidability in Physics on the Theory of Everything
General relativity treats spacetime as dynamical and exhibits its breakdown at singularities. This failure is interpreted as evidence that quantum gravity is not a theory formulated within spacetime; instead, it must explain the very emergence of spacetime from deeper quantum degrees of freedom, thereby resolving singularities. Quantum gravity is therefore envisaged as an axiomatic structure, and algorithmic calculations acting on these axioms are expected to generate spacetime. However, Gödel…

Robust Convex Model Predictive Control with collision avoidance guarantees for robot manipulators
Bernhard Wullt, Johannes K\"ohler, Per Mattsson, Mikeal Norrl\"of, Thomas B. Sch\"on
https://arxiv.org/abs/2508.21677

Robust Convex Model Predictive Control with collision avoidance guarantees for robot manipulators
Industrial manipulators are normally operated in cluttered environments, making safe motion planning important. Furthermore, the presence of model-uncertainties make safe motion planning more difficult. Therefore, in practice the speed is limited in order to reduce the effect of disturbances. There is a need for control methods that can guarantee safe motions that can be executed fast. We address this need by suggesting a novel model predictive control (MPC) solution for manipulators, where our…

Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
Guizhe Jin, Zhuoren Li, Bo Leng, Ran Yu, Lu Xiong
https://arxiv.org/abs/2506.23771

Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
Reinforcement Learning (RL) is increasingly used in autonomous driving (AD) and shows clear advantages. However, most RL-based AD methods overlook policy structure design. An RL policy that only outputs short-timescale vehicle control commands results in fluctuating driving behavior due to fluctuations in network outputs, while one that only outputs long-timescale driving goals cannot achieve unified optimality of driving behavior and control. Therefore, we propose a multi-timescale hierarchica…