Tootfinder

Tight End University: History, purpose of program and this year's surprise Taylor Swift performance

https://www.cbssports.com/nfl/news/tight-e…

I think a misunderstanding is that people want to fight "scraping" or "automated systems". But my feeling is that the issue is with the _purpose_ of the scraping: It's not "that person is scraping my site" it's "that person wants to use my work to train their slop machine". The issue is the SLOP machine with all the negative externalities they have.
And that is a path worth exploring (that I have similarly argued for code): We want to cont…

Testing my new LLM, "#CrokAI":
Q. Explain why the 9th full test of the Starship was a resounding success.
A. Before we can get to Mars, we must perfect the needed technology by colonizing a target that is closer to us. While some think that the Moon could serve this purpose, the Earth is a much more convenient (if challenging) target. In test #9, Starshit, sorry, Starship managed t…

"shy guys (jews)"

Thread and Memory-Safe Programming with CLASS
Lu\'is Caires (Instituto Superior T\'ecnico)
https://arxiv.org/abs/2505.20848 https://

Thread and Memory-Safe Programming with CLASS
CLASS is a proof-of-concept general purpose linear programming language, flexibly supporting realistic concurrent programming idioms, and featuring an expressive linear type system ensuring that programs (1) never misuse or leak stateful resources or memory, (2) never deadlock, and (3) always terminate. The design of CLASS and the strong static guarantees of its type system originates in its Linear Logic and proposition-as-types foundations. However, instead of focusing on its theoretical found…

WorldVLA: Towards Autoregressive Action World Model
Jun Cen, Chaohui Yu, Hangjie Yuan, Yuming Jiang, Siteng Huang, Jiayan Guo, Xin Li, Yibing Song, Hao Luo, Fan Wang, Deli Zhao, Hao Chen
https://arxiv.org/abs/2506.21539

WorldVLA: Towards Autoregressive Action World Model
We present WorldVLA, an autoregressive action world model that unifies action and image understanding and generation. Our WorldVLA intergrates Vision-Language-Action (VLA) model and world model in one single framework. The world model predicts future images by leveraging both action and image understanding, with the purpose of learning the underlying physics of the environment to improve action generation. Meanwhile, the action model generates the subsequent actions based on image observations,…

Development of MR spectral analysis method robust against static magnetic field inhomogeneity
Shuki Maruyama, Hidenori Takeshima
https://arxiv.org/abs/2506.20897

Development of MR spectral analysis method robust against static magnetic field inhomogeneity
Purpose:To develop a method that enhances the accuracy of spectral analysis in the presence of static magnetic field B0 inhomogeneity. Methods:The authors proposed a new spectral analysis method utilizing a deep learning model trained on modeled spectra that consistently represent the spectral variations induced by B0 inhomogeneity. These modeled spectra were generated from the B0 map and metabolite ratios of the healthy human brain. The B0 map was divided into a patch size of subregions, and t…

Subtitled Media Adaptations for People with Aphasia: Ongoing Accessibility Barriers and Emerging Design Practices
Zihao You, Michael Crabb
https://arxiv.org/abs/2506.21201

Subtitled Media Adaptations for People with Aphasia: Ongoing Accessibility Barriers and Emerging Design Practices
The consumption of subtitles via TVs, laptops and smartphones has the potential to marginalize people based on their complex accessibility needs. The current one-size-fits-all approach to this accessibility aid is no longer fit for purpose and work is required to look at how it can be adapted to be personalised for individual users based on individual context, content, and consumption habits. People with Aphasia, for example, encounter significant challenges in understanding subtitle texts. W…

"It's "#ORCID and…," not "ORCID or…": How researcher identifiers work together to help researchers, build a better picture of research, and streamline administrative tasks": White Paper by MoreBrains › https://

Physics Of Eclipsing Binaries. VIII. Multiple systems
Miroslav Bro\v{z}, Kyle E. Conroy, Andrej Pr\v{s}a
https://arxiv.org/abs/2506.20866 https://

Physics Of Eclipsing Binaries. VIII. Multiple systems
Multiple stellar systems are common especially among O and B stars. In order to accurately describe their dynamics, interactions among components must be accounted for. In this work, we describe the new dynamical model in Phoebe, which could be used just for this purpose. The n-body model is based on the Reboundx numerical integrator and accounts for mutual perturbations, oblateness, relativistic effects, or light-time effects. The initial conditions can be set up as hierarchical or two-pairs g…

from my link log —
faer: a general-purpose linear algebra library for Rust.
https://docs.rs/faer/
saved 2025-03-24 https://dotat.at/:/ILSBW.…

DPLib: A Standard Benchmark Library for Distributed Power System Analysis and Optimization
Milad Hasanzadeh, Amin Kargarian
https://arxiv.org/abs/2506.20819

DPLib: A Standard Benchmark Library for Distributed Power System Analysis and Optimization
\textit{DPLib} is an open-source MATLAB-based benchmark library created to support research and development in distributed and decentralized power system analysis and optimization. Distributed and decentralized methods offer scalability, privacy preservation, and resilience to single points of failure, making them increasingly important for modern power systems. However, unlike centralized tools such as MATPOWER, no general-purpose, reproducible data library package currently exists for distrib…

Wide-field Polarization Imaging and Numerical Modeling of the Coma and Tail of Comet C/2023 A3 (Tsuchinshan-ATLAS)
Mirza Arnaut, Christian W\"ohler, Pritish Halder, Goldy Ahuja, Shashikiran Ganesh, Megha Bhatt
https://arxiv.org/abs/2506.21284

Wide-field Polarization Imaging and Numerical Modeling of the Coma and Tail of Comet C/2023 A3 (Tsuchinshan-ATLAS)
Imaging polarimetry is a well-known method for analysing the structure and composition of cometary dust. Accordingly, comets are classified based on the phase angle dependent degree of linear polarization of their comae. The goal of this study is to examine the size and structure of the dust grains in the coma and in particular in the tail of the bright comet C/2023 A3 (Tsuchinshan-ATLAS) and to infer possible variations. For this purpose, we rely on the method of telescopic wide-field polarime…

Guardsmen sent to LA are 130 miles east of the city doing drug busts (Nicholas Slayton/Task & Purpose)
https://taskandpurpose.com/news/national-guard-drug-busts-la-area/
http://www.memeorandum.com/250624/p78#a250624p78

A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
Songsoo Kim, Seungtae Lee, See Young Lee, Joonho Kim, Keechan Kan, Dukyong Yoon
https://arxiv.org/abs/2506.20112

A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
Background: The positive predictive value (PPV) of large language model (LLM)-based proofreading for radiology reports is limited due to the low error prevalence. Purpose: To assess whether a three-pass LLM framework enhances PPV and reduces operational costs compared with baseline approaches. Materials and Methods: A retrospective analysis was performed on 1,000 consecutive radiology reports (250 each: radiography, ultrasonography, CT, MRI) from the MIMIC-III database. Two external datasets (C…

Evidence of the Earth's inner radiation belts during the low Solar and geomagnetic activity obtained with the STEP-F instrument
O. V. Dudnik, O. V. Yakovlev
https://arxiv.org/abs/2506.21218

Evidence of the Earth's inner radiation belts during the low Solar and geomagnetic activity obtained with the STEP-F instrument
Purpose: The subject of research is the spatio-temporal charged particles in the Earth's magnetosphere outside the South Atlantic magnetic Anomaly during the 11-year cycle of solar activity minimum. The work aims at searching for and clarifying the sustained and unstable new spatial zones of enhanced subrelativistic electron fluxes at the altitudes of the low Earth orbit satellites. Design/methodology/approach: Finding and ascertainment of new radiation belts of the Earth were made by using t…

This https://arxiv.org/abs/2503.19119 has been replaced.
initial toot: https://mastoxiv.page/@arX…

TrackRAD2025 challenge dataset: Real-time tumor tracking for MRI-guided radiotherapy
Purpose: Magnetic resonance imaging (MRI) to visualize anatomical motion is becoming increasingly important when treating cancer patients with radiotherapy. Hybrid MRI-linear accelerator (MRI-linac) systems allow real-time motion management during irradiation. This paper presents a multi-institutional real-time MRI time series dataset from different MRI-linac vendors. The dataset is designed to support developing and evaluating real-time tumor localization (tracking) algorithms for MRI-guided r…

On geometry of $Q^{(2k)}_g$-curvature
Mingxiang Li, Juncheng Wei, Xingwang Xu
https://arxiv.org/abs/2506.20165 https://arxiv.org/pdf/…

On geometry of $Q^{(2k)}_g$-curvature
The main purpose of current article is to study the geometry of $Q$-curvature. For simplicity, we start with a very simple model: a complete and conformal metric $g=e^{2u}|dx|^2$ on $\mathbb{R}^n$. We assume the metric $g$ has non-negative $nth$-order $Q$-curvature and non-negative scalar curvature. We show that the Ricci curvature is non-negative. We further assume that the metric $g$ is not degenerate in the sense that the isoperimetric ratio near the end is positive. With this extr…

{annotater}: Annotate package load calls, so we can have an idea of the overall purpose of the libraries we’re loading: #rstats

General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting
Bernard Lange, Anil Yildiz, Mansur Arief, Shehryar Khattak, Mykel Kochenderfer, Georgios Georgakis
https://arxiv.org/abs/2506.17462

General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting
Developing general-purpose navigation policies for unknown environments remains a core challenge in robotics. Most existing systems rely on task-specific neural networks and fixed data flows, limiting generalizability. Large Vision-Language Models (LVLMs) offer a promising alternative by embedding human-like knowledge suitable for reasoning and planning. Yet, prior LVLM-robot integrations typically depend on pre-mapped spaces, hard-coded representations, and myopic exploration. We introduce the…

Efficient Feedback Design for Unsourced Random Access with Integrated Sensing and Communication
Mohammad Javad Ahmadi, Mohammad Kazemi, Rafael F. Schaefer
https://arxiv.org/abs/2506.20262

Efficient Feedback Design for Unsourced Random Access with Integrated Sensing and Communication
We consider an unsourced random access (URA) system enhanced with a feedback mechanism that serves both communication and sensing tasks. While traditional URA systems do not incorporate feedback, we propose a novel feedback signal design that announces the decoding status of users and simultaneously enables target sensing. To design this dual-purpose feedback, we introduce a modified projected gradient descent algorithm that minimizes a weighted combination of communication and sensing errors. …

Physics Of Eclipsing Binaries. VII. Interferometric module
Miroslav Bro\v{z}, Andrej Pr\v{s}a, Kyle E. Conroy, Al\v{z}b\v{e}ta Opli\v{s}tilov\'a, Martin Horvat
https://arxiv.org/abs/2506.20865

Physics Of Eclipsing Binaries. VII. Interferometric module
Interferometric measurements are essential to constrain models of stellar systems, by spatially resolving angular distances and diameters well below the classical diffraction limit. In this work, we describe the interferometric module of Phoebe, which could be used just for this purpose. Since binaries in Phoebe are represented by a triangular mesh, our complex model is based on the integration over triangles. Consequently, Roche distortion, rotation, non-synchronicity, misalignment, eclipses o…

Cubes-difference factor absorbing ideals of a commutative ring
Faranak Farshadifar
https://arxiv.org/abs/2506.19876 https://arxiv.org…

Cubes-difference factor absorbing ideals of a commutative ring
Let $R$ be a commutative ring with. The purpose of this paper is to introduce and investigate cubes-difference factor absorbing ideals of R as a generalization of prime ideals.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
Yunsung Chung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm
https://arxiv.org/abs/2506.19360

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
Advances in generative models have transformed the field of synthetic image generation for privacy-preserving data synthesis (PPDS). However, the field lacks a comprehensive survey and comparison of synthetic image generation methods across diverse settings. In particular, when we generate synthetic images for the purpose of training a classifier, there is a pipeline of generation-sampling-classification which takes private training as input and outputs the final classifier of interest. In this…

Strong thermoelectric response of nanoconfined weak electrolytes
Rajkumar Sarma, Steffen Hardt
https://arxiv.org/abs/2506.20149 https://

Strong thermoelectric response of nanoconfined weak electrolytes
When dissolved, weak electrolytes only partially dissociate into ions in a temperature-dependent process. We show herein that such incomplete dissociation yields an enormous thermoelectric response in an electrolyte-filled nanochannel along which a temperature gradient is applied. For this purpose, an extended version of the Nernst-Planck equations is developed that takes into account the temperature-dependent dissociation-association equilibrium. The results indicate that in this way, Seebeck …

Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
Jonathan Cook, Silvia Sapora, Arash Ahmadian, Akbir Khan, Tim Rocktaschel, Jakob Foerster, Laura Ruis
https://arxiv.org/abs/2506.18777

Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
Training large language models (LLMs) on source code significantly enhances their general-purpose reasoning abilities, but the mechanisms underlying this generalisation are poorly understood. In this paper, we propose Programming by Backprop (PBB) as a potential driver of this effect - teaching a model to evaluate a program for inputs by training on its source code alone, without ever seeing I/O examples. To explore this idea, we finetune LLMs on two sets of programs representing simple maths p…

We need to reclaim the tradition of imposing taxes on the rich to cover the costs of war. It’s why we got the income tax in the first place.

War is a mechanism that concentrates wealth at the top. If that is not countered with policy, it suggests that part of the purpose of the war is that concentration.
(see the past 25 years as an example)

Beginning later this year, the NSF–DOE Vera C. Rubin Observatory will create the ultimate movie of the night sky,
repeatedly scanning the sky for a decade to create an ultra-wide, ultra-high-definition, time-lapse record of our Universe across space and over time.
The resulting dataset, called the Legacy Survey of Space and Time (LSST), will be the largest ever amassed for optical astronomy.
This enormous, all-purpose dataset will bring the night sky to life,
enabli…

Tech companies think that, if they make products *look* futuristic, you will think that they are actually innovating. In reality what we get is not "Star Trek communicators inspired cell phones" but "every experience with your computer is going to be like begging HAL to open the pod bay doors" except less evil and more frustrating.

Imitating the future, breaking the present
Tech companies are only pretending to innovate, through copying futuristic aesthetics from science fiction without understanding their purpose.

Algorithms for variational Monte Carlo calculations of fermion PEPS in the swap gates formulation
Yantao Wu, Zhehao Dai
https://arxiv.org/abs/2506.20106 ht…

Algorithms for variational Monte Carlo calculations of fermion PEPS in the swap gates formulation
In recent years, the variational Monte Carlo (VMC) calculations of projected entangled pair states (PEPS) has emerged as a competitive method for computing the ground states of many-body quantum systems. This method is particularly important for fermion systems where sign problems are abundant. We derive and explain the algorithms for the VMC calculations of fermion PEPS in the swap gates formulation. It is the purpose of this paper to be as concise and precise as possible. Diagramatic tensor n…

Multivariate Discrete Generalized Pareto Distributions: Theory, Simulation, and Applications to Dry spells
Samira Aka, Marie Kratz, Philippe Naveau
https://arxiv.org/abs/2506.19361

Multivariate Discrete Generalized Pareto Distributions: Theory, Simulation, and Applications to Dry spells
This article extends the multivariate extreme value theory (MEVT) to discrete settings, focusing on the generalized Pareto distribution (GPD) as a foundational tool. The purpose of the study is to enhance the understanding of extreme discrete count data representation, particularly for discrete exceedances over thresholds, defining and using multivariate discrete Pareto distributions (MDGPD). Through theoretical results and illustrative examples, we outline the construction and properties of MD…

Anisotropic approximation on space-time domains
Pedro Morin, Cornelia Schneider, Nick Schneider
https://arxiv.org/abs/2506.19517 https://

Anisotropic approximation on space-time domains
We investigate anisotropic (piecewise) polynomial approximation of functions in Lebesgue spaces as well as anisotropic Besov spaces. For this purpose we study temporal and spacial moduli of smoothness and their properties. In particular, we prove Jackson- and Whitney-type inequalities on Lipschitz cylinders, i.e., space-time domains $I\times D$ with a finite interval $I$ and a bounded Lipschitz domain $D\subset \R^d$, $d\in \N$. As an application, we prove a direct estimate result for adaptive …

From Conversation to Orchestration: HCI Challenges and Opportunities in Interactive Multi-Agentic Systems
Sarah Sch\"ombs, Yan Zhang, Jorge Goncalves, Wafa Johal
https://arxiv.org/abs/2506.20091

From Conversation to Orchestration: HCI Challenges and Opportunities in Interactive Multi-Agentic Systems
Recent advances in multi-agentic systems (e.g. AutoGen, OpenAI Swarm) allow users to interact with a group of specialised AI agents rather than a single general-purpose agent. Despite the promise of this new paradigm, the HCI community has yet to fully examine the opportunities, risks, and user-centred challenges it introduces. We contribute to research on multi-agentic systems by exploring their architectures and key features through a human-centred lens. While literature and use cases remain …

Attitude Control of Solar Sail with Reflectivity Control Devices
Pierce S. Boughton, Yang Yang
https://arxiv.org/abs/2505.19865 https://

Attitude Control of Solar Sail with Reflectivity Control Devices
Solar sails offer a promising solution for fuel free propulsion, enabling novel mission profiles and deeper space exploration. While reaction wheels are standard for spacecraft attitude control, the large moment of inertia of solar sails often lead to frequent reaction wheel saturation, necessitating momentum offloading via additional control methods. Magnetorquers have historically been used for this purpose. This paper investigates Reflectivity Control Devices (RCDs) as an alternative method …

This https://arxiv.org/abs/2412.18389 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Agreement of Image Quality Metrics with Radiological Evaluation in the Presence of Motion Artifacts
Purpose: Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. In this work, we compare the performance of commonly used reference-based and reference-free image quality metrics on a unique dataset with real motion artifacts. We further analyze the image quality metrics' robustness to typical pre-processing techniques. Methods: We compared five reference-based and five reference-free image quality metrics on data acquired wit…

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
Sajratul Y. Rubaiat, Hasan M. Jamil
https://arxiv.org/abs/2506.17580

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
The exponential growth of scientific literature challenges researchers extracting and synthesizing knowledge. Traditional search engines return many sources without direct, detailed answers, while general-purpose LLMs may offer concise responses that lack depth or omit current information. LLMs with search capabilities are also limited by context window, yielding short, incomplete answers. This paper introduces WISE (Workflow for Intelligent Scientific Knowledge Extraction), a system addressing…

*The purpose of a system is what it does*
Please share with anyone that needs this, or might know those that do #CapeTown #SouthAfrica #Observatory

A Spectral Gap for Spinors on Hyperbolic Surfaces
Anshul Adve, Vikram Giri
https://arxiv.org/abs/2506.17092 https://arxiv.org/pdf/250…

A Spectral Gap for Spinors on Hyperbolic Surfaces
The purpose of this note is to construct a sequence of spin hyperbolic surfaces $Σ_n$ with genus going to infinity and with a uniform spectral gap for the Dirac operator. Our construction is completely explicit. In particular, the $Σ_n$ can be taken to be a tower of covers, with each $Σ_n$ an arithmetic hyperbolic surface.

Singular limits of anisotropic weak solutions to compressible magnetohydrodynamics
Nicolas Besse, Christophe Cheverry
https://arxiv.org/abs/2506.19784 http…

Singular limits of anisotropic weak solutions to compressible magnetohydrodynamics
The aim is to justify rigorously the so-called reduced magnetohydrodynamic model (abbreviated as RMHD), which is widely used in fusion, space and astrophysical plasmas. Motivated by physics, the focus is on plasmas that are simultaneously strongly magnetized and anisotropic. We consider conducting fluids that can be described by viscous and resistive barotropic compressible magnetohydrodynamic equations. The purpose is to study the asymptotic behaviour of global weak solutions, which do exist, …

Still rocking this for my #WristCheck. I actually really like this one.
On the one hand there is a lot going on on that dial bit it remains readable and everything present serves a purpose. No extraneous text* or logos, so while it is busy, it's also clean.
* Ok, ok maybe the tiny "JAPAN MOVT" at the bottom is pointless but it's so small it's almost not r…

Canard cycles of non-linearly regularized piecewise smooth vector fields
Peter De Maesschalck, Renato Huzak, Otavio Henrique Perez
https://arxiv.org/abs/2506.18099

Canard cycles of non-linearly regularized piecewise smooth vector fields
The main purpose of this paper is to study limit cycles in non-linear regularizations of planar piecewise smooth systems with fold points (or more degenerate tangency points) and crossing regions. We deal with a slow fast Hopf point after non-linear regularization and blow-up. We give a simple criterion for upper bounds and the existence of limit cycles of canard type, expressed in terms of zeros of the slow divergence integral. Using the criterion we can construct a quadratic regularization of…

@… The purpose of the system is what it does.

Comparison of $R_h=ct$ and $\Lambda$CDM using DESI DR1 measurements
Kunj Panchal, Shantanu Desai
https://arxiv.org/abs/2506.18445 https://

Comparison of $R_h=ct$ and $Λ$CDM using DESI DR1 measurements
We use DESI DR1 BAO measurements of the ratio of tranvserse comoving distance to Hubble distance in order to test the compatibility of $R_h=ct$ over flat $Λ$CDM. For this purpose, we used Bayesian model selection to evaluate the efficacy of these models given the observed data. When we consider the BAO measurements up to redshift of 1.3, both models are equally favored. However, when we consider the Lyman-$α$ QSO measurement at redshift of 2.33, we find Bayes factors of greater than 100 for f…

Cosmic Ray Detection with the IceTop Enhancement
Megha Venugopal (for the IceCube Collaboration)
https://arxiv.org/abs/2506.18566 https://

Cosmic Ray Detection with the IceTop Enhancement
IceTop is the cosmic-ray detector located on the surface of the IceCube Neutrino Observatory at the South Pole, consisting of 81 pairs of ice-Cherenkov tanks. The rise in the energy threshold of air-shower measurements in IceTop due to accumulating snow emphasized the need for the next generation of IceCube surface detectors. For this purpose, the Surface Array Enhancement (SAE) is set to comprise elevated scintillator panels and radio antennas controlled by hybrid DAQ systems. The detectors of…

Major US brands like Bud Light have shifted advertising strategies away from DEI themes, sources say due to fears of a Trump administration backlash (Financial Times)
https://www.ft.com/content/88949dbf-7be3-47ed-a6e2-48064bd3fa26

How the culture war is remaking advertising
Brands are diluting or scrapping campaigns with social purpose as the movement against DEI intensifies

SPARK: Graph-Based Online Semantic Integration System for Robot Task Planning
Mimo Shirasaka, Yuya Ikeda, Tatsuya Matsushima, Yutaka Matsuo, Yusuke Iwasawa
https://arxiv.org/abs/2506.20394

SPARK: Graph-Based Online Semantic Integration System for Robot Task Planning
The ability to update information acquired through various means online during task execution is crucial for a general-purpose service robot. This information includes geometric and semantic data. While SLAM handles geometric updates on 2D maps or 3D point clouds, online updates of semantic information remain unexplored. We attribute the challenge to the online scene graph representation, for its utility and scalability. Building on previous works regarding offline scene graph representations, …

Nonassociative algebras of anti-biderivation-type
Sa\"id Benayadi, Said Boulmane, Ivan Kaygorodov
https://arxiv.org/abs/2506.17228 https://

Nonassociative algebras of anti-biderivation-type
The main purpose of this paper is to study the class of Jacobi-Jordan-admissible algebras, such that its product is an anti-biderivation of the related Jacobi-Jordan algebra. We called it as $\mathcal A{\rm BD}$-algebras. First, we provide characterizations of algebras in this class. Furthermore, we show that this class of nonassociative algebras includes Jacobi-Jordan algebras, symmetric anti-Leibniz algebras, and anti-${\rm LR}$-algebras. In particular, we proved that anti-${\rm LR}$-algebras…

Cluster Expansion Toward Nonlinear Modeling and Classification
Adrian Stroth, Claudia Draxl, Santiago Rigamonti
https://arxiv.org/abs/2506.18695 https://…

Cluster Expansion Toward Nonlinear Modeling and Classification
A quantitative first-principles description of complex substitutional materials like alloys is challenging due to the vast number of configurations and the high computational cost of solving the quantum-mechanical problem. Therefore, materials properties must be modeled. The Cluster Expansion (CE) method is widely used for this purpose, but it struggles with properties that exhibit non-linear dependencies on composition, often failing even in a qualitative description. By looking at CE through …

Size distribution of decaying foam bubbles
Ildoo Kim
https://arxiv.org/abs/2506.18049 https://arxiv.org/pdf/2506.18049

Size distribution of decaying foam bubbles
The most studies on the stability of foam bubbles investigated the mechanical stability of thin films between bubbles due to the drainage by gravity. In the current work, we take an alternative approach by assuming the rupture of bubbles as a series of random events and by investigating the time evolution of the size distribution of foam bubbles over a long time up to several hours. For this purpose, we first prepared layers of bubbles on Petri dishes by shaking soap solutions of a few differen…

Fourier minimization and imputation of time series
Will Burstein, Alex Iosevich, Azita Mayeli, Hari Sarang Nathan
https://arxiv.org/abs/2506.19226 https://…

Fourier minimization and imputation of time series
One of the most common procedures in modern data analytics is filling in missing values in times series. For a variety of reasons, the data provided by clients to obtain a forecast, or other forms of data analysis, may have missing values, and those values need to be filled in before the data set can be properly analyzed. Many freely available forecasting software packages, such as the sktime library, have built-in mechanisms for filling in missing values. The purpose of this paper is to adapt …

Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging
Mubaraq Yakubu, Navodini Wijethilake, Jonathan Shapey, Andrew King, Alexander Hammers
https://arxiv.org/abs/2506.19797

Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging
Purpose: Accurate segmentation of both the pituitary gland and adenomas from magnetic resonance imaging (MRI) is essential for diagnosis and treatment of pituitary adenomas. This systematic review evaluates automatic segmentation methods for improving the accuracy and efficiency of MRI-based segmentation of pituitary adenomas and the gland itself. Methods: We reviewed 34 studies that employed automatic and semi-automatic segmentation methods. We extracted and synthesized data on segmentation te…

Happy Global Accessibility Awareness Day to everyone in the Fediverse! And remember your alt text!
#GAAD

Fascinating how the #IDF is always "looking into" incidents after civilians and reporters are murdered by IDF troops. Given that the same "incidents" keep repeating, what exactly is the purpose of "looking into" incidents? Is it so the #NetanyahuAdminstration can …

Fascinating how the #IDF is always "looking into" incidents after civilians and reporters are murdered by IDF troops. Given that the same "incidents" keep repeating, what exactly is the purpose of "looking into" incidents? Is it so the #NetanyahuAdminstration can …

Some interesting number theory problems
Wenpeng Zhang
https://arxiv.org/abs/2506.17235 https://arxiv.org/pdf/2506.17235

Some interesting number theory problems
The main purpose of this paper is to propose some interesting number theory problems related to the Legendre's symbol and the two-term exponential sums.

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[7/7]:
- From Data-Driven to Purpose-Driven Artificial Intelligence: Systems Thinking for Data-Analytic Au...
Anadria, Dobbe, Giachanou, Kuiper, Bartels, van Amsterdam, de Troya, Z\"urcher, Oberski
…

Analysis of the action-based constrained adiabatic particle production model
Souvik Pramanik, Meir Lewkowicz, M. Schiffer
https://arxiv.org/abs/2506.16868 …

Analysis of the action-based constrained adiabatic particle production model
The theory of gravitationally induced adiabatic particle production offers an alternative approach to exploring the accelerating expansion of the universe. However, existing models generally lack a well-defined field-action formulation. This article aims to establish a suitable Lagrangian formulation consistent with the framework of particle creation. A general form of action is considered for this purpose. The corresponding field equations in comparison with those commonly used in the particle…

Characterization of Higher-Order Sobolev Spaces on the Sphere via Generalized Averaging of Function
Ikhsan Maulidi, Hiroshi Ohtsuka
https://arxiv.org/abs/2506.17736

Characterization of Higher-Order Sobolev Spaces on the Sphere via Generalized Averaging of Function
We present a new characterization of higher-order Sobolev spaces on the sphere. Building on the approach of Barceló et al. (2020), we refine the square function they introduced for this purpose. In particular, we provide a detailed analysis of the weight function and the averaging range in its definition. Our results demonstrate that averaging can be performed using a weight function from a broad class, and that the averaging domain can be restricted to a local coordinate patch on the sphere.

Jazzaria – Tilting Saints
#abstract

#ZenBrowser is considering to change the behaviour of windows in the following way:
- Two windows of the same workspace show the exact same tabs.
- Tabs are not lost when closing a window.
- In order to create a new, empty window, you first need to create a new workspace.
Any opinions? I find that quite weird and don't understand the purpose. 🤔

Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots
Mingqi Yuan, Tao Yu, Wenqi Ge, Xiuyong Yao, Dapeng Li, Huijiang Wang, Jiayu Chen, Xin Jin, Bo Li, Hua Chen, Wei Zhang, Wenjun Zeng
https://arxiv.org/abs/2506.20487

Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots
Humanoid robots are drawing significant attention as versatile platforms for complex motor control, human-robot interaction, and general-purpose physical intelligence. However, achieving efficient whole-body control (WBC) in humanoids remains a fundamental challenge due to sophisticated dynamics, underactuation, and diverse task requirements. While learning-based controllers have shown promise for complex tasks, their reliance on labor-intensive and costly retraining for new scenarios limits re…

A systematic study of hot O production and escape from Martian atmosphere in response to enhanced EUV Irradiance from Solar Flares
Chirag Rathi, Dimitra Atri, Dattaraj B. Dhuri
https://arxiv.org/abs/2506.20337

A systematic study of hot O production and escape from Martian atmosphere in response to enhanced EUV Irradiance from Solar Flares
The study of the evolution of Martian atmosphere and its response to EUV irradiation is an extremely important topic in planetary science. One of the dominant effects of atmospheric losses is the photochemical escape of atomic oxygen from Mars. Increasing the magnitude of the irradiation changes the response of the atmosphere. The purpose of the current paper is to analyze the effects of enhanced EUV irradiation on the escape rates of oxygen atoms. We have used the solar flare of 2017 September…

Bridging the Artificial Intelligence Governance Gap: The United States' and China's Divergent Approaches to Governing General-Purpose Artificial Intelligence
Oliver Guest, Kevin Wei
https://arxiv.org/abs/2506.03497

Bridging the Artificial Intelligence Governance Gap: The United States' and China's Divergent Approaches to Governing General-Purpose Artificial Intelligence
The United States and China are among the world's top players in the development of advanced artificial intelligence (AI) systems, and both are keen to lead in global AI governance and development. A look at U.S. and Chinese policy landscapes reveals differences in how the two countries approach the governance of general-purpose artificial intelligence (GPAI) systems. Three areas of divergence are notable for policymakers: the focus of domestic AI regulation, key principles of domestic AI regul…

Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency
Kathleen C. Fraser, Hillary Dawkins, Isar Nejadgholi, Svetlana Kiritchenko
https://arxiv.org/abs/2506.17209

Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency
Fine-tuning a general-purpose large language model (LLM) for a specific domain or task has become a routine procedure for ordinary users. However, fine-tuning is known to remove the safety alignment features of the model, even when the fine-tuning data does not contain any harmful content. We consider this to be a critical failure mode of LLMs due to the widespread uptake of fine-tuning, combined with the benign nature of the "attack". Most well-intentioned developers are likely unaware that th…

Shrinking the Generation-Verification Gap with Weak Verifiers
Jon Saad-Falcon, E. Kelly Buchanan, Mayee F. Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott Linderman, Azalia Mirhoseini, Christopher R\'e
https://arxiv.org/abs/2506.18203

Shrinking the Generation-Verification Gap with Weak Verifiers
Verifiers can improve language model capabilities by scoring and ranking responses from generated candidates. Currently, high-quality verifiers are either unscalable (e.g., humans) or limited in utility (e.g., tools like Lean). While LM judges and reward models have become broadly useful as general-purpose verifiers, a significant performance gap remains between them and oracle verifiers (verifiers with perfect accuracy). To help close this gap, we introduce Weaver, a framework for designing a …

from my link log —
I want a good parallel computer.
https://raphlinus.github.io/gpu/2025/03/21/good-parallel-computer.html
saved 2025-03-21

When we set CDFC up in 2008, the sole purpose was for it to become the club that it has. Now, they need some help to keep going - every pound helps to ensure that they are able to continue to offer inclusive and safe community sport in South Wales.
https://gofund.me/383429e5

Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings
Julian Herreilers, Christiaan Jacobs, Thomas Niesler
https://arxiv.org/abs/2506.17690

Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings
We introduce a new approach, the ContrastiveTransformer, that produces acoustic word embeddings (AWEs) for the purpose of very low-resource keyword spotting. The ContrastiveTransformer, an encoder-only model, directly optimises the embedding space using normalised temperature-scaled cross entropy (NT-Xent) loss. We use this model to perform keyword spotting for radio broadcasts in Luganda and Bambara, the latter a severely under-resourced language. We compare our model to various existing AWE a…

Dual-energy extraction for proton therapy and imaging: validation on a clinical synchrotron-based facility
Alexander A. Pryanichnikov, Dmitry Shwartz, Jon Feldmand, Joao Seco, Maria Francesca Spadea
https://arxiv.org/abs/2506.19736

Dual-energy extraction for proton therapy and imaging: validation on a clinical synchrotron-based facility
The purpose of this study was to investigate the feasibility of extracting proton beams with two distinct energies within a single synchrotron cycle. The energy difference between the beams should be sufficient to use one beam as a range probe to guide the second therapeutic beam in a synchrotron-based proton therapy facility. A clinical synchrotron-based proton therapy facility with a maximum clinical energy of 250 megaeV (MeV) and an experimental energy capability of 330 MeV was used for the …

no shade, but if your import path starts with `src.`, you haven’t understood the purpose of an src directory.
The fact that VS Code gets this wrong when fixing imports in tests is concerning.
#Python

Holy fucksticks: watching the 1st and only season of #TheManWhoFellToEarth and we got a CIA operative flashing a badge while working in the UK. The purpose of a CIA spy is to fly under the radar and will never have any identifying objects on his person. Further more such a badge will have zero importance on UK soil. Rookie mistakes.

*The purpose of a system is what it does*
Please share with anyone that needs this, or might know those that do #CapeTown #SouthAfrica #Observatory

General-purpose audio representation learning for real-world sound scenes
Goksenin Yuksel, Marcel van Gerven, Kiki van der Heijden
https://arxiv.org/abs/2506.00934

General-purpose audio representation learning for real-world sound scenes
While audio foundation models perform well on myriad of tasks from sound classification to speech analysis, these models are trained and tested on dry, non-spatial, single-source audio clips. This limits their success in real-world situations and results in spatially unaware audio embeddings. To address these limitations, we propose a novel self-supervised training approach for General-Purpose, Real-world Audio Models (GRAMs). The GRAM training approach enables robust spatial audio representati…

Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms
Andrzej Cichocki
https://arxiv.org/abs/2506.13984 https://a…

Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms
In this paper, we develop a wide class Mirror Descent (MD) algorithms, which play a key role in machine learning. For this purpose we formulated the constrained optimization problem, in which we exploits the Bregman divergence with the Tempesta multi-parametric deformation logarithm as a link function. This link function called also mirror function defines the mapping between the primal and dual spaces and is associated with a very-wide (in fact, theoretically infinite) class of generalized tra…

Underlining this from @….
Do not let anyone get away with calling ICE “law enforcement.” That term is wrong. They are operating outside the law. They aren’t law •enforcement•; they’re law •circumvention•. Their purpose is to grant a would-be authoritarian military power against his own country, unconstrained by either law or democracy. https://med-mastodon.com/@gregggonsalves/114644138834261758

Generative modeling of seismic data using diffusion models and its application to multi-purpose posterior sampling for noisy inverse problems
Chuangji Meng, Jinghuai Gao, Wenting Shang, Yajun Tian, Hongling Chen, Tieqiang Zhang, Zongben Xu
https://arxiv.org/abs/2506.12897

Generative modeling of seismic data using diffusion models and its application to multi-purpose posterior sampling for noisy inverse problems
Geophysical inverse problems are often ill-posed and admit multiple solutions. Conventional discriminative methods typically yield a single deterministic solution, which fails to model the posterior distribution, cannot generate diverse high-quality stochastic solutions, and limits uncertainty quantification. Addressing this gap, we propose an unsupervised posterior sampling method conditioned on the noisy observations and the inverse problem, eliminating the need to retrain a task-specific con…

Operational Control of a Multi-energy District Heating System: Comparison of Model-Predictive Control and Rule-Based Control
Michael Nikhil Descamps (DTCH), Nicolas Lamaison (DTCH), Mathieu Vallee (DTCH), Roland Baviere (DTCH)
https://arxiv.org/abs/2506.15197

Operational Control of a Multi-energy District Heating System: Comparison of Model-Predictive Control and Rule-Based Control
This study focuses on operational control strategies for a multi-energy District Heating Network (DHN). Two control strategies are investigated and compared: (i) a reactive rule-based control (RBC) and (ii) a model predictive control (MPC). For the purpose of the study a small scale district heating network is modelled using Modelica. The production plant combines a heat pump, a gas boiler and a thermal solar field on the production side with a storage tank for flexibility purposes. On the cons…

N.B.: the conventional bomb model in question has never been dropped in a war. If the military doesn’t have doubts, they’re dumber than they seem… https://fed.brid.gy/r/https://bsky.app/profile/did:plc:gvda6fem6r7selm4gzjjww4a/post/3lry…

Leah McElrath (@leahmcelrath.bsky.social)
🚨 ☢️ Fox News now reporting that the White House has denied taking off the table the option of using tactical nuclear weapons for potential bombing of Fordow in Iran. (It’s impossible to know if this is true or if it is public posturing for the purpose of pressuring Iran to negotiate.) #NukeSky

Thermal corrections to Regge trajectories
R. Cadiz, M. Loewe, R. Zamora
https://arxiv.org/abs/2506.14979 https://arxiv.org/pdf/2506.1…

Thermal corrections to Regge trajectories
In this work, we investigate the behavior of Regge trajectories in the context of quantum field theory at finite temperature. For this purpose, we employ the $λϕ^3$ model. We first compute the Regge trajectories at zero temperature, establishing a baseline for comparison. As a key novelty, we extended our analysis to finite temperature and derive an analytical expression for the Regge trajectories in this regime. We explore how temperature modifies the structure of the Regge trajectories and …

Not necessarily walking back - everyone's seen it, served its purpose
Musk Deletes His 'Really Big Bomb' Claiming Trump Appears in Epstein Files
https://gizmodo.com/musk-deletes-his-really-big-bomb-claiming-trump-appears-in-epstein-files-2000612895

Tel Aviv-based Speedata, which is designing analytics processing units for big data workloads, raised a $44M Series B, aims to showcase its first APU this month (Kate Park/TechCrunch)
https://techcrunch.com/2025/06/03/speedata…

Speedata, a chip startup competing with Nvidia, raises a $44M Series B | TechCrunch
Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a Founded by six researcher, Speedata wants to build the first-ever purpose-build chip designed specifically for big data workloads.

Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights
Yuan Zhong, Ruinan Jin, Xiaoxiao Li, Qi Dou
https://arxiv.org/abs/2506.17337 https://…

Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights
Medical vision-language models (VLMs) leverage large-scale pretraining for diverse imaging tasks but require substantial computational and data resources. Meanwhile, common or general-purpose VLMs (e.g., CLIP, LLaVA), though not trained for medical use, show promise with fine-tuning. This raises a key question: Can efficient fine-tuned common VLMs rival generalist medical VLMs for solving specific medical imaging tasks? This study systematically evaluates common and medical VLMs across disease …

Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval
Yubai Wei, Jiale Han, Yi Yang
https://arxiv.org/abs/2506.00363 …

Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval
Text embedding models play a cornerstone role in AI applications, such as retrieval-augmented generation (RAG). While general-purpose text embedding models demonstrate strong performance on generic retrieval benchmarks, their effectiveness diminishes when applied to private datasets (e.g., company-specific proprietary data), which often contain specialized terminology and lingo. In this work, we introduce BMEmbed, a novel method for adapting general-purpose text embedding models to private data…

"Pen vs. Keyboard? Why the Tool Doesn’t Matter as Much as You Think for Personal Knowledge Management" #KnowledgeManagement

Cancellation of one-loop correction to soft tensor power spectrum
Yohei Ema, Muzi Hong, Ryusuke Jinno, Kyohei Mukaida
https://arxiv.org/abs/2506.15780 http…

Cancellation of one-loop correction to soft tensor power spectrum
We demonstrate that there are no scale-invariant one-loop corrections to the superhorizon tensor perturbations from small-scale (potentially enhanced) scalar perturbations, irrespective of the details of inflationary background time evolution. For this purpose we derive a soft tensor effective field theory at leading order in the gradient expansion by integrating out small-scale scalar fluctuations in a general time-dependent background over the Schwinger-Keldysh contour, i.e., we perform loop …

Capturing Visualization Design Rationale
Maeve Hutchinson, Radu Jianu, Aidan Slingsby, Jo Wood, Pranava Madhyastha
https://arxiv.org/abs/2506.16571 https:/…

Capturing Visualization Design Rationale
Prior natural language datasets for data visualization have focused on tasks such as visualization literacy assessment, insight generation, and visualization generation from natural language instructions. These studies often rely on controlled setups with purpose-built visualizations and artificially constructed questions. As a result, they tend to prioritize the interpretation of visualizations, focusing on decoding visualizations rather than understanding their encoding. In this paper, we pre…

You won’t hear this on the news but Scotland and other countries have declared their economy will be based on wellbeing, not GDP.
And They’re not alone.
Countries worldwide are making the same shift.
But here’s the thing: people aren’t waiting for governments.
EThey’re building wellbeing economies themselves through cooperatives, people’s assemblies, and businesses that put purpose over profit.
-- J Friday

Optimized Execution of FreeCHR
Sascha Rechenberger, Thom Fr\"uhwirth
https://arxiv.org/abs/2506.14485 https://arxiv.org/pdf/2506…

Optimized Execution of FreeCHR
Constraint Handling Rules (CHR) is a rule-based programming language that rewrites collections of constraints. It is typically embedded into a general-purpose language. There exists a plethora of implementations for numerous host languages. However, the existing implementations often re-invent the method of embedding, which impedes maintenance and weakens assertions of correctness. To formalize and thereby unify the embedding of a ground subset of CHR into arbitrary host languages, we introduce…

This https://arxiv.org/abs/2506.01297 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

MobCLIP: Learning General-purpose Geospatial Representation at Scale
Representation learning of geospatial locations remains a core challenge in achieving general geospatial intelligence. Current embedding methods often lack versatility, limiting their utility across diverse tasks in both human and natural domains. We present MobCLIP, the first nationwide general-purpose location encoder, integrating an unprecedented diversity of data modalities through effective and scalable multimodal fusion. Adopting a novel CLIP-based architecture, our framework aligns 100M+…

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
Haoneng Lin, Cheng Xu, Jing Qin
https://arxiv.org/abs/2506.18378 https://

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
Modern Vision-Language Models (VLMs) exhibit unprecedented capabilities in cross-modal semantic understanding between visual and textual modalities. Given the intrinsic need for multi-modal integration in clinical applications, VLMs have emerged as a promising solution for a wide range of medical image analysis tasks. However, adapting general-purpose VLMs to medical domain poses numerous challenges, such as large domain gaps, complicated pathological variations, and diversity and uniqueness of…

pycnet-audio: A Python package to support bioacoustics data processing
Zachary J. Ruff, Damon B. Lesmeister
https://arxiv.org/abs/2506.14864 https://

pycnet-audio: A Python package to support bioacoustics data processing
Passive acoustic monitoring is an emerging approach in wildlife research that leverages recent improvements in purpose-made automated recording units (ARUs). The general approach is to deploy ARUs in the field to record on a programmed schedule for extended periods (weeks or months), after which the audio data are retrieved. These data must then be processed, typically either by measuring or analyzing characteristics of the audio itself (e.g. calculating acoustic indices), or by searching for s…

mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity
Elvis Nava, Victoriano Montesinos, Erik Bauer, Benedek Forrai, Jonas Pai, Stefan Weirich, Stephan-Daniel Gravert, Philipp Wand, Stephan Polinski, Benjamin F. Grewe, Robert K. Katzschmann
https://arxiv.org/abs/2506.11916…

mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity
We present a diffusion-based model recipe for real-world control of a highly dexterous humanoid robotic hand, designed for sample-efficient learning and smooth fine-motor action inference. Our system features a newly designed 16-DoF tendon-driven hand, equipped with wide angle wrist cameras and mounted on a Franka Emika Panda arm. We develop a versatile teleoperation pipeline and data collection protocol using both glove-based and VR interfaces, enabling high-quality data collection across dive…

What is the purpose of news?
Air pollution kills 10 million people each year and causes untold additional illness and suffering.
It kills at least 100,000 people in the United States alone annually
— about five times the number of police-reported homicides.
But it rarely features in daily news stories.
Police and prosecutors ignore pollution, much of which is criminal,
and so do most journalists.
For example, federal prosecutors charged 23 people…

Media Panics About “Crime Waves” — But Downplays Crime Committed by Corporations
The news emphasizes low-level theft instead of corporate crime, pollution, and other predatory behavior.

A unipolar head gradient for high-field MRI without encoding ambiguity
Markus Weiger, Johan Overweg, Franciszek Hennel, Emily Louise Baadsvik, Samuel Bianchi, Oskar Bj\"orkqvist, Roger Luechinger, Jens Metzger, Eric Michael, Thomas Schmid, Lauro Singenberger, Urs Sturzenegger, Erik Oskam, Gerrit Vissers, Jos Koonen, Wout Schuth, Jeroen Koeleman, Martino Borgo Klaas Paul Pruessmann

A unipolar head gradient for high-field MRI without encoding ambiguity
Purpose: MRI gradients with a conventional, bipolar design generally face a trade-off between performance, encoding ambiguity, and circumventing the latter by means of RF selectivity. This problem is particularly limiting in cutting-edge brain imaging performed at field strengths >= 7T and using high-performance head gradients. Methods: To address this issue, the present work proposes to fundamentally eliminate the encoding ambiguity in head gradients by using a unipolar z-gradient design that …

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
Daniel D'souza, Julia Kreutzer, Adrien Morisot, Ahmet \"Ust\"un, Sara Hooker
https://arxiv.org/abs/2506.14702

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
One of the most profound challenges of modern machine learning is performing well on the long-tail of rare and underrepresented features. Large general-purpose models are trained for many tasks, but work best on high-frequency use cases. After training, it is hard to adapt a model to perform well on specific use cases underrepresented in the training corpus. Relying on prompt engineering or few-shot examples to maximize the output quality on a particular test case can be frustrating, as models …

Seven-Probe Fiber Detector for Time-Resolved Source Tracking in HDR-Brachytherapy: Experimental Evaluation
Mathieu Gonod, Miguel Angel Suarez, Samir Laskri, Gwenael Rolin, Karine Charriere, Emmanuel Dordor, Julien Crouzilles, Thomas Lihoreau, Lionel Pazart, Jean-Francois Vinchant, Leone Aubignac, Thierry Grosjean
https://arxiv.o…

Seven-Probe Fiber Detector for Time-Resolved Source Tracking in HDR-Brachytherapy: Experimental Evaluation
{\bf Purpose:} This study evaluates a compact biocompatible Seven-probe Scintillator Detector (7SD) for monitoring HDR-BT treatment sequences across a range of dwell times and source-probe spacings representative of most HDR-BT techniques. {\bf Methods:} The SSD comprises seven detection cells made of Gd$_2$O$_2$S:Tb, each measuring 0.28 $\pm$ 0.02 mm in diameter and 0.43 $\pm$ 0.02 mm in length, coupled to the microstructured tips of silica optical fibers (110-micron diameter). The probes, s…

Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning
Sheng Chen, Peiyu He, Jiaxin Hu, Ziyang Liu, Yansheng Wang, Tao Xu, Chi Zhang, Chongchong Zhang, Chao An, Shiyu Cai, Duo Cao, Kangping Chen, Shuai Chu, Tianwei Chu, Mingdi Dan, Min Du, Weiwei Fang, Pengyou Fu, Junkai Hu, Xiaowei Jiang, Zhaodi Jiang, Fuxuan Li, Jun Li, Minghui Li, Mingyao Li, Yanchang Li, Zhibin Li, Guangming Liu, Kairui Liu, Lihao Liu, Weizhi Liu, Xiaoshun Liu, Yufei Liu, Yunfei Liu, Qiang…

Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning
Modern robot navigation systems encounter difficulties in diverse and complex indoor environments. Traditional approaches rely on multiple modules with small models or rule-based systems and thus lack adaptability to new environments. To address this, we developed Astra, a comprehensive dual-model architecture, Astra-Global and Astra-Local, for mobile robot navigation. Astra-Global, a multimodal LLM, processes vision and language inputs to perform self and goal localization using a hybrid topol…

Compressed Video Super-Resolution based on Hierarchical Encoding
Yuxuan Jiang, Siyue Teng, Qiang Zhu, Chen Feng, Chengxi Zeng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull
https://arxiv.org/abs/2506.14381

Compressed Video Super-Resolution based on Hierarchical Encoding
This paper presents a general-purpose video super-resolution (VSR) method, dubbed VSR-HE, specifically designed to enhance the perceptual quality of compressed content. Targeting scenarios characterized by heavy compression, the method upscales low-resolution videos by a ratio of four, from 180p to 720p or from 270p to 1080p. VSR-HE adopts hierarchical encoding transformer blocks and has been sophisticatedly optimized to eliminate a wide range of compression artifacts commonly introduced by H.2…

GMT: General Motion Tracking for Humanoid Whole-Body Control
Zixuan Chen, Mazeyu Ji, Xuxin Cheng, Xuanbin Peng, Xue Bin Peng, Xiaolong Wang
https://arxiv.org/abs/2506.14770

GMT: General Motion Tracking for Humanoid Whole-Body Control
The ability to track general whole-body motions in the real world is a useful way to build general-purpose humanoid robots. However, achieving this can be challenging due to the temporal and kinematic diversity of the motions, the policy's capability, and the difficulty of coordination of the upper and lower bodies. To address these issues, we propose GMT, a general and scalable motion-tracking framework that trains a single unified policy to enable humanoid robots to track diverse motions in t…