Tootfinder

North Korea is building a new facility at its Yongbyon nuclear complex that is similar to a known uranium enrichment site, says the International Atomic Energy Agency
https://www.dw.com/en/is-north-korea-boosting-its-nuclear-capabilities/a-7295378…

Is North Korea boosting its nuclear capabilities?
North Korea is building a new facility at its Yongbyon nuclear complex that is similar to a known uranium enrichment site, says the International Atomic Energy Agency (IAEA).

Conjugate reversibility in complex special linear groups
Krishnendu Gongopadhyay, Rahul Mondal
https://arxiv.org/abs/2506.15336 https://

Conjugate reversibility in complex special linear groups
We introduce and study conjugate reversibility (or $c$-reversibility) in the complex special linear group $\SL(n,\C)$ where an element is conjugate to the inverse of its complex conjugate. We prove that in $\SL(n, \C)$, every $c$-reversible element is strongly $c$-reversible. We provide a complete classification of $c$-reversible elements based on their conjugacy invariants. This leads to an algebraic characterization of projective transformations. As a special case, a finer classification in $…

Definability of complex functions in o-minimal structures
Adele Padgett, Patrick Speissegger
https://arxiv.org/abs/2506.15119 https://

Definability of complex functions in o-minimal structures
We prove that some holomorphic continuations of functions in the classes $\mathbf{an}^*$ and $\mathcal{G}$ are definable in the o-minimal structures $\mathbb{R}_{\mathrm{an}^*}$ and $\mathbb{R}_{\mathcal{G}}$ respectively. More specifically, we give complex domains on which the holomorphic continuations are definable, and show they are optimal. As an application, we describe optimal domains on which the Riemann $ζ$ function is definable in o-minimal expansions of $\mathbb{R}_{\mathrm{an}^*,\ex…

Fractal dimensions of complex networks: advocating for a topological approach
Rayna Andreeva, Hayde\'e Contreras-Peruyero, Sanjukta Krishnagopal, Nina Otter, Maria Antonietta Pascali, Elizabeth Thompson
https://arxiv.org/abs/2506.15236

Fractal dimensions of complex networks: advocating for a topological approach
Topological Data Analysis (TDA) uses insights from topology to create representations of data able to capture global and local geometric and topological properties. Its methods have successfully been used to develop estimations of fractal dimensions for metric spaces that have been shown to outperform existing techniques. In a parallel line of work, networks are ubiquitously used to model a variety of complex systems. Higher-order interactions, i.e., simultaneous interactions between more than …

An efficient co-simulation and control approach to tackle complex multi-domain energetic systems: concepts and applications of the PEGASE platform
Mathieu Vallee (DTCH), Roland Baviere (DTCH), Val\'erie Seguin (DTCH), Val\'ery Vuillerme (DTCH), Nicolas Lamaison (DTCH), Michael Nikhil Descamps (DTCH), Antoine Aurousseau (DTCH)
https://

An efficient co-simulation and control approach to tackle complex multi-domain energetic systems: concepts and applications of the PEGASE platform
In this paper, we present a novel research software, called PEGASE, suitable for the design, validation and deployment of advanced control strategies for complex multi-domain energy systems. PEGASE especially features a highly efficient cosimulation engine, together with integrated solutions for defining both rule-based control strategies and Model-Predictive Control (MPC). The main principle behind the PEGASE platform is divide-and-conquer. Indeed, rather than trying to solve a problem as a mo…

A look at seven UX issues in the Fediverse web experience, including complex onboarding, the lack of a dedicated DM UI wrapper, and fragmented user discovery (Tim Chambers)
https://www.timothychambers.net/2025/06/18/113327.html

The Seven Deadly UX Sins of the Fediverse Web Experience (To Fix)
So, confession time: I was recently helping a new client get set up on the Fediverse—guiding them through their first steps into our glorious decentralized galaxy. And seeing it all again through fresh eyes? Reader, it was brutal. So much of what should be table stakes for any social media UX in the year of our Lord 2025 still is missing or deeply broken still. I know progress has been made and a good fight, fought.

ALMASOP. A Rotating Feature Rich in Complex Organic Molecules in a Protostellar Core
Shih-Ying Hsu, Chin-Fei Lee, Doug Johnstone, Sheng-Yuan Liu, Tie Liu, Leonardo Bronfman, Huei-Ru Vivien Chen, Somnath Dutta, David J. Eden, Naomi Hirano, Mika Juvela, Kee-Tae Kim, Yi-Jehng Kuan, Woojin Kwon, Chang Won Lee, Jeong-Eun Lee, Shanghuo Li, Sheng-Jun Lin, Chun-Fan Liu, Xunchuan Liu, J. A. L\'opez-V\'azquez, Qiuyi Luo, Mark G. Rawlings, Dipen Sahu, Patricio Sanhueza, Hsien Shang, Kenic…

ALMASOP. A Rotating Feature Rich in Complex Organic Molecules in a Protostellar Core
Interstellar complex organic molecules (COMs) in solar-like young stellar objects (YSOs), particularly within protostellar disks, are of significant interest due to their potential connection to prebiotic chemistry in emerging planetary systems. We report the discovery of a rotating feature enriched in COMs, including CH3OH, CH3CHO, and NH2CHO, in the protostellar core G192.12-11.10. By constructing a YSO model, we find that the COM-rich feature is likely located within or near the boundary of …

Fourth- and Higher-Order Semi-Lagrangian Finite Volume Methods for the Two-dimensional Advection Equation on Arbitrarily Complex Domains
Yunxia Sun, Kaiyi Liang, Yuke Zhu, Zhi Lin, Qinghai Zhang
https://arxiv.org/abs/2506.15142

Fourth- and Higher-Order Semi-Lagrangian Finite Volume Methods for the Two-dimensional Advection Equation on Arbitrarily Complex Domains
To numerically solve the two-dimensional advection equation, we propose a family of fourth- and higher-order semi-Lagrangian finite volume (SLFV) methods that feature (1) fourth-, sixth-, and eighth-order convergence rates, (2) applicability to both regular and irregular domains with arbitrarily complex topology and geometry, (3) ease of handling both zero and nonzero source terms, and (4) the same algorithmic steps for both periodic and incoming penetration conditions. Test results confirm the…

Using Real-Variable Techniques to Study Zeros of Complex-Valued Harmonic Functions
Jennifer Brooks, Mary Jenkins, Samuel Liechty, Kaden Parker, Katherine Perez, Dallin Robison, Eli Sampson, Matthew G. Wilson
https://arxiv.org/abs/2506.14966

Using Real-Variable Techniques to Study Zeros of Complex-Valued Harmonic Functions
We investigate the zeros of two one-parameter families of harmonic functions and describe how the number of zeros depends on the parameter. Our functions have the property that all zeros lie on certain rays in the complex plane and thus we are able to use real-variable techniques to count the zeros on each ray.

OSTRICH2: Solver for Complex String Constraints
Matthew Hague, Denghang Hu, Artur Je\.z, Anthony W. Lin, Oliver Markgraf, Philipp R\"ummer, Zhilin Wu
https://arxiv.org/abs/2506.14363

OSTRICH2: Solver for Complex String Constraints
We present OSTRICH2, the latest evolution of the SMT solver OSTRICH for string constraints. OSTRICH2 supports a wide range of complex functions on strings and provides completeness guarantees for a substantial fragment of string constraints, including the straight-line fragment and the chain-free fragment. OSTRICH2 provides full support for the SMT-LIB theory of Unicode strings, extending the standard with several unique features not found in other solvers: among others, parsing of ECMAScript r…

Hermitian-Einstein Metrics on Parabolic Bundles over compact complex surfaces
Xilun Li, Gang Tian
https://arxiv.org/abs/2506.15458 https://

Hermitian-Einstein Metrics on Parabolic Bundles over compact complex surfaces
We prove the Kobayashi-Hitchin correspondence for parabolic bundles over compact nonKähler surfaces with simple normal crossing divisor or compact nonKähler manifolds of any dimension with smooth divisor.

Deep Dive into #uv #Dockerfiles by #Astral: Image Size, Performance & Best Practices

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills
Chunru Lin, Haotian Yuan, Yian Wang, Xiaowen Qiu, Tsun-Hsuan Wang, Minghao Guo, Bohan Wang, Yashraj Narang, Dieter Fox, Chuang Gan
https://arxiv.org/abs/2506.14763

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills
Endowing robots with tool design abilities is critical for enabling them to solve complex manipulation tasks that would otherwise be intractable. While recent generative frameworks can automatically synthesize task settings, such as 3D scenes and reward functions, they have not yet addressed the challenge of tool-use scenarios. Simply retrieving human-designed tools might not be ideal since many tools (e.g., a rolling pin) are difficult for robotic manipulators to handle. Furthermore, existing …

I decided to share some of my observations that would benefit you if you are building applications: a deep dive session into the archetypes of attackers.
This session is for people who are developing software of any kind. It could be an API endpoint, a blog, or a complex application used by millions.
Join in or share with smart people.
Let me help you!

Synchronization of lasers with complex spatio-temporal dynamics
Jules Mercadier, Stefan Bittner, Marc Sciamanna
https://arxiv.org/abs/2506.15351 https://…

Synchronization of lasers with complex spatio-temporal dynamics
Synchronization is among the most fascinating dynamical behaviors through which oscillators like lasers align their temporal dynamics under weak coupling. So far, experimental studies have been restricted to lasers exhibiting structured temporal dynamics, such as periodic, mode-locked, or chaotic regimes, the latter usually induced by feedback or optical injection. We now successfully achieve synchronization of two spatially extended lasers with intrinsically chaotic dynamics. We observe synchr…

A Survey of Physics-Informed AI for Complex Urban Systems
En Xu, Huandong Wang, Yunke Zhang, Sibo Li, Yinzhou Tang, Zhilun Zhou, Yuming Lin, Yuan Yuan, Xiaochen Fan, Jingtao Ding, Yong Li
https://arxiv.org/abs/2506.13777

A Survey of Physics-Informed AI for Complex Urban Systems
Urban systems are typical examples of complex systems, where the integration of physics-based modeling with artificial intelligence (AI) presents a promising paradigm for enhancing predictive accuracy, interpretability, and decision-making. In this context, AI excels at capturing complex, nonlinear relationships, while physics-based models ensure consistency with real-world laws and provide interpretable insights. We provide a comprehensive review of physics-informed AI methods in urban applica…

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems
Zhongzhi Yu, Mingjie Liu, Michael Zimmer, Yingyan Celine Lin, Yong Liu, Haoxing Ren
https://arxiv.org/abs/2506.13905

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems
Despite recent progress in generating hardware RTL code with LLMs, existing solutions still suffer from a substantial gap between practical application scenarios and the requirements of real-world RTL code development. Prior approaches either focus on overly simplified hardware descriptions or depend on extensive human guidance to process complex specifications, limiting their scalability and automation potential. In this paper, we address this gap by proposing an LLM agent system, termed Spec2…

Tesla's robotaxi service will launch in Austin with just ~10 cars that are geofenced to avoid complex intersections and monitored by backup teleoperators (Richard Waters/Financial Times)
https://www.ft.com/content/2ad302c6-febe-448f-9980-17d116d9695a…

Tesla’s robotaxi ambitions face a reality check after launch
Autonomous ride-hailing service to make tentative debut in Austin, Texas, with only about 10 cars

WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts
Negar Foroutan, Angelika Romanou, Matin Ansaripour, Julian Martin Eisenschlos, Karl Aberer, R\'emi Lebret
https://arxiv.org/abs/2506.15594

WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts
Documents are fundamental to preserving and disseminating information, often incorporating complex layouts, tables, and charts that pose significant challenges for automatic document understanding (DU). While vision-language large models (VLLMs) have demonstrated improvements across various tasks, their effectiveness in processing long-context vision inputs remains unclear. This paper introduces WikiMixQA, a benchmark comprising 1,000 multiple-choice questions (MCQs) designed to evaluate cross-…

Imaginary part of the conductivity using Kramers-Kronig relations
Jean-Christophe Pain, Mikael Tacu
https://arxiv.org/abs/2506.14941 https://

Imaginary part of the conductivity using Kramers-Kronig relations
In order to obtain the frequency-dependent photo-absorption in a plasma, both the real and imaginary parts of the AC conductivity are required. The real part can be deduced from the knowledge of the static conductivity (given by the Ziman-Evans formula for instance) and the Drude model. The imaginary part, required for the refraction index, can be obtained using the Kramers-Kronig relations. Usually, it is obtained by complex integration in the complex plane of the usual Kramers-Kronig relation…

Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices
Gargi Mitra, Mohammadreza Hallajiyan, Inji Kim, Athish Pranav Dharmalingam, Mohammed Elnawawy, Shahrear Iqbal, Karthik Pattabiraman, Homa Alemzadeh
https://arxiv.org/abs/2506.15028

Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices
The integration of AI/ML into medical devices is rapidly transforming healthcare by enhancing diagnostic and treatment facilities. However, this advancement also introduces serious cybersecurity risks due to the use of complex and often opaque models, extensive interconnectivity, interoperability with third-party peripheral devices, Internet connectivity, and vulnerabilities in the underlying technologies. These factors contribute to a broad attack surface and make threat prevention, detection,…

This is how ruthless the Israeli military complex is
The sign talks of"protecting the state of Israel", remaining silent to the fact that this offensive "protection" actually costs hundreds of thousands of lives in Israel and the region.
Context:
https://www.

Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching
Qizheng Zhang, Michael Wornow, Kunle Olukotun
https://arxiv.org/abs/2506.14852 https://

Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching
LLM-based agentic applications have shown increasingly remarkable capabilities in complex workflows but incur substantial costs due to extensive planning and reasoning requirements. Existing LLM caching techniques (like context caching and semantic caching), primarily designed for serving chatbots, are insufficient for agentic applications where outputs depend on external data or environmental contexts. We propose agentic plan caching, a novel approach that extracts, stores, adapts, and reuses …

$p$-local decompositions of looped polyhedral products
Lewis Stanton, Fedor Vylegzhanin
https://arxiv.org/abs/2506.15573 https://arxi…

$p$-local decompositions of looped polyhedral products
We show that localised away from a finite set of primes, the loop space of a moment-angle complex is homotopy equivalent to a product of loops on spheres. This verifies a conjecture of Anick for such spaces. We also develop a method to reduce the study of the loops of more general polyhedral products to that of the loops on a moment-angle complex. As a consequence, we give $p$-local loop space decompositions of a wide family of polyhedral products, quasitoric manifolds and simply connected tori…

On Gorenstein $\mathbb{Q}_p$-rational threefolds and fourfolds
Jefferson Baudin, Zsolt Patakfalvi, Linus R\"osler, Maciej Zdanowicz
https://arxiv.org/abs/2506.15491

On Gorenstein $\mathbb{Q}_p$-rational threefolds and fourfolds
We prove that for $n \leq 4$ and $p > 5$, quasi--Gorenstein $F$--pure and $\mathbb{Q}_p$--rational $n$--fold singularities are canonical. This is analogous to the usual fact that rational Gorenstein singularities are canonical. The proof is based on a careful analysis of the dual complex of a dlt modification of a log canonical singularity. The result for $n = 4$ is contingent upon the existence of log resolutions.

@… The latter, because I often do:
```
actual = do_the_thing()
assert actual == {
some: complex object
with: multiple properties
and: [
perhaps
another
layer
of
nesting
]
}
```

Well, at least her new apartment complex looks nice. Almost in Paradise (a Vegas suburb) on Sahara and gated. Looks newish. “2 Sparkling Pools” according to the signage on StreetView…
Hell, I’d settle for one.
#WorriedDad https://

Relaxation for massive particles: transport and causality
Matej Bajec, Alexander Soloviev
https://arxiv.org/abs/2506.15531 https://ar…

Relaxation for massive particles: transport and causality
Correlators at finite density and temperature encode important information about a physical system, such as transport and causality. For a massive gas of particles in the relaxation time approximation of kinetic theory, we provide complete analytic results for all first order transport coefficients, including thermoelectric coefficients. We demonstrate the first complete picture of the complex structure of the correlators as a function of mass, providing an interpretation in terms of the causal…

Model Predictive Path-Following Control for a Quadrotor
David Leprich, Mario Rosenfelder, Mario Hermle, Jingshan Chen, Peter Eberhard
https://arxiv.org/abs/2506.15447

Model Predictive Path-Following Control for a Quadrotor
Automating drone-assisted processes is a complex task. Many solutions rely on trajectory generation and tracking, whereas in contrast, path-following control is a particularly promising approach, offering an intuitive and natural approach to automate tasks for drones and other vehicles. While different solutions to the path-following problem have been proposed, most of them lack the capability to explicitly handle state and input constraints, are formulated in a conservative two-stage approach,…

Ambiguities in the Partial-Wave Analysis of the Photoproduction of Pairs of Pseudoscalar Mesons
J. Guo, E. Barriga, K. Scheuer, A. Austregesilo, P. Eugenio, D. I. Glazier, B. Grube, W. Imoehl, C. A. Meyer, A. Ostrovidov, J. R. Stevens
https://arxiv.org/abs/2506.15128

Ambiguities in the Partial-Wave Analysis of the Photoproduction of Pairs of Pseudoscalar Mesons
Applying the technique of partial-wave analysis, there are cases where more than one set of underlying complex-valued amplitudes can describe the measured observables. These ambiguities can sometimes be resolved using additional information, but assumptions are often required. It is known that the partial-wave analysis of two-pseudoscalar meson systems produced in photoproduction with a linearly polarized photon beam is free from discrete ambiguities stemming from the Barrelet zeros when the nu…

Shortest Paths in a Weighted Simplicial Complex
Sukrit Chakraborty, Prasanta Choudhury, Arindam Mukherjee
https://arxiv.org/abs/2506.12921 https://

Shortest Paths in a Weighted Simplicial Complex
Simplicial complexes are extensively studied in the field of algebraic topology. They have gained attention in recent time due to their applications in fields like theoretical distributed computing and simplicial neural networks. Graphs are mono-dimensional simplicial complex. Graph theory has application in topics like theoretical computer science, operations research, bioinformatics and social sciences. This makes it natural to try to adapt graph-theoretic results for simplicial complexes, wh…

Milan-based Jet HR, which provides all-in-one payroll and HR services to SMBs, raised €25M led by Base10 Partners, bringing its total funding to about €42M (Ryan Lawler/Axios)
https://www.axios.com/pro/fintech-deals/2025/06/17/base10-25-million-…

Exclusive: Base10 leads €25M round for Italian HR startup Jet HR
The new funds will serve to digitize Italy's costly, complex payroll maze.

Missing data in non-stationary multivariate time series from digital studies in Psychiatry
Xiaoxuan Cai, Charlotte R. Fowler, Li Zeng, Habiballah Rahimi Eichi, Dost Ongur, Lisa Dixon, Justin T. Baker, Jukka-Pekka Onnela, Linda Valeri
https://arxiv.org/abs/2506.14946

Missing data in non-stationary multivariate time series from digital studies in Psychiatry
Mobile technology (e.g., mobile phones and wearable devices) provides scalable methods for collecting physiological and behavioral biomarkers in patients' naturalistic settings, as well as opportunities for therapeutic advancements and scientific discoveries regarding the etiology of psychiatric illness. Continuous data collection through mobile devices generates highly complex data: entangled multivariate time series of outcomes, exposures, and covariates. Missing data is a pervasive problem i…

Segregation and cooperation in active colloidal binary mixtures
Laura Alvarez, Elena Ses\'e-Sansa, Demian Levis, Ignacio Pagonabarraga, Lucio Isa
https://arxiv.org/abs/2506.15188

Segregation and cooperation in active colloidal binary mixtures
The complex interactions underlying collective motion in biological systems give rise to emergent behaviours such as flocking, sorting, and cooperative transport. These dynamics often involve species with different motilities coordinating movement to optimize navigation and survival. Synthetic analogues based on active colloids offer a controlled platform to explore such behaviours, yet most experimental realizations remain limited to monodisperse systems or mixtures of passive and active parti…

p-K\"ahler structures on compact complex manifolds
Ettore Lo Giudice
https://arxiv.org/abs/2506.13546 https://arxiv.org/pdf/2506…

p-Kähler structures on compact complex manifolds
Let $(M,J)$ be a complex manifold of complex dimension $n$. A $p$-Kähler structure on $(M,J)$ is a real, closed $(p,p)$-transverse form. In this paper, we address the conjecture of L. Alessandrini and G. Bassanelli on $(n-2)$-Kähler nilmanifolds equipped with nilpotent complex structures and holomorphically parallelizable nilmanifolds. We also derive necessary conditions for the existence of smooth curves of $p$-Kähler structures, starting from a fixed $p$-Kähler structure, along a differen…

A novel approach for converting spatio-temporal series into complex networks
G. Cigdem Yalcin, M. Berk Onder
https://arxiv.org/abs/2506.14378 https://

A novel approach for converting spatio-temporal series into complex networks
This study aims to offer a new perspective on complex network representation of real-world systems. Currently, the most well-known transformation algorithms in the literature treat each data point in a time series as a node and transform the time series into a network. In this study, we present a new approach converting spatio-temporal series into a complex network. We focus on studying this transformation by grounding it in the context of physics , with the aim of adapting it to real-world pro…

Energy-consistent dynamic fracture phase field models: unilateral constraints and finite element simulations
Md Mamun Miah, Ryuhei Wakida, Masato Kimura
https://arxiv.org/abs/2506.14788

Energy-consistent dynamic fracture phase field models: unilateral constraints and finite element simulations
Phase field models have emerged as a powerful and flexible framework for simulating complex interface-driven phenomena across a wide range of scientific and engineering applications. In fracture mechanics, the phase field approach--formulated as a gradient flow of the Griffith fracture energy with Ambrosio-Tortorelli regularization--has gained significant attention for its ability to capture complex crack topologies. In this study, we propose a dynamic fracture phase field model (DF-PFM) based …

Just finished reading Dream State by Eric Puchner, and it kind of pissed me off. I think I can see exactly why it might be popular with a certain WASPy liberal "literati" type that probably includes a lot of influential reviewers, but to me, it's points about love & life, despite being much more complex, ring just about as hollow (and harmful) as a Disney movie.
I've got a lot of quibbles, but I think most galling to me was a throwaway line near the beginning about why platonic relationships get so much less glory in media than romantic ones, when so much of the plot proceeds to revolve around a stale agency-free romantic attraction model that's certainly more complex on its face than a Disney romance but which is ultimately just as misleading.
Go read Loveless or really any YA #OwnVoices romance (especially queer) and you'll be learning more & better lessons about the human condition.

I finally managed to remove shorts from the #RSS feeds of YouTube channels.
The feed mixes shorts and regular video but thankfully #FreshRSS has an extension that can use the YouTube API to get the extra information it needs.
Way more complex than it should be in an ideal world but, hey, at least it works

Versatile SPH Open Boundary Conditions for Multiphase Flows in Extreme Condition
Zi-Yang Zhan, Zhen Chen
https://arxiv.org/abs/2506.14500 https://

Versatile SPH Open Boundary Conditions for Multiphase Flows in Extreme Condition
Although the Smoothed Particle Hydrodynamics (SPH) method has been demonstrated as a promising numerical solver for multiphase flow problems due to its Lagrangian nature, its application to complex channel flow may encounter additional issues such as the open boundary condition and numerical instability in the extreme flow state. The present work aims to establish a general SPH algorithm for accurate and stable simulation of complex multiphase flows in configurations with open boundaries. The g…

A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials
Zhenyao Fang, Ting-Wei Hsu, Qimin Yan
https://arxiv.org/abs/2506.15652

A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials
Disorder, though naturally present in experimental samples and strongly influencing a wide range of material phenomena, remains underexplored in first-principles studies due to the computational cost of sampling the large supercell and configurational space. The recent development of machine learning techniques, particularly graph neural networks (GNNs), has enabled the efficient and accurate predictions of complex material properties, offering promising tools for studying disordered systems. I…

Complex single-site magnetism and magnetotransport in single-crystalline Gd$_{2}$AlSi$_{3}$
Ram Kumar, Shanta R. Saha, Jarryd Horn, A. Ikeda, Danila Sokratov, Yash Anand, Prathum Saraf, Ryan Dorman, E. Hemley, K. K. Iyer, Johnpierre Paglione
https://arxiv.org/abs/2506.14687

Complex single-site magnetism and magnetotransport in single-crystalline Gd$_{2}$AlSi$_{3}$
We present a detailed investigation of single-crystal samples of the magnetic compound Gd$_{2}$AlSi$_{3}$, which crystallizes in the $α$-ThSi$_2$ type tetragonal structure. We report the temperature and magnetic field dependence of the magnetic susceptibility, magnetization, heat capacity, electrical resistivity, and magnetoresistance for magnetic fields applied along both the tetragonal $c$-axis and in the basal $ab$-plane. X-ray diffraction measurements confirm a centrosymmetric, $I4_{1}/amd…

A non-commutative algorithm for multiplying 4x4 matrices using 48 non-complex multiplications
Jean-Guillaume Dumas (UGA, LJK, CASC), Cl\'ement Pernet, Alexandre Sedoglavic
https://arxiv.org/abs/2506.13242

A non-commutative algorithm for multiplying 4x4 matrices using 48 non-complex multiplications
The quest for non-commutative matrix multiplication algorithms in small dimensions has seen a lot of recent improvements recently. In particular, the number of scalar multiplications required to multiply two $4\times4$ matrices was first reduced in \cite{Fawzi:2022aa} from 49 (two recursion levels of Strassen's algorithm) to 47 but only in characteristic 2 or more recently to 48 in\cite{alphaevolve} but over complex numbers. We propose an algorithm in 48 multiplications with only rational coeff…

William Langewiesche, who wrote complex, long-form articles for The Atlantic and Vanity Fair on national security, Iraq, and aviation, died of cancer at 70 (Trip Gabriel/New York Times)
https://www.nytimes.com/2025/06/16/business/media/william-lang…

William Langewiesche, the ‘Steve McQueen of Journalism,’ Dies at 70
He was a master of long form narratives, often involving high-stakes topics. He reported for Vanity Fair, The Atlantic and The New York Times Magazine.

Percolation in the marked stationary Random Connection Model for higher-dimensional simplicial complexes
Dominik Pabst
https://arxiv.org/abs/2506.15038 htt…

Percolation in the marked stationary Random Connection Model for higher-dimensional simplicial complexes
We introduce a novel percolation model that generalizes the classical Random Connection Model (RCM) to a random simplicial complex, allowing for a more refined understanding of connectivity and emergence of large-scale structures in random topological spaces. Regarding percolation with respect to the notion of up-connectivity, we establish the existence of a sharp phase transition for the appearance of a giant component, akin to the well-known threshold behavior in random graphs. This sharp pha…

CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion
Jiahua Ma, Yiran Qin, Yixiong Li, Xuanqi Liao, Yulan Guo, Ruimao Zhang
https://arxiv.org/abs/2506.14769

CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion
Diffusion Policy (DP) enables robots to learn complex behaviors by imitating expert demonstrations through action diffusion. However, in practical applications, hardware limitations often degrade data quality, while real-time constraints restrict model inference to instantaneous state and scene observations. These limitations seriously reduce the efficacy of learning from expert demonstrations, resulting in failures in object localization, grasp planning, and long-horizon task execution. To add…

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning
Martin Klissarov, Akhil Bagaria, Ziyan Luo, George Konidaris, Doina Precup, Marlos C. Machado
https://arxiv.org/abs/2506.14045

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning
Developing agents capable of exploring, planning and learning in complex open-ended environments is a grand challenge in artificial intelligence (AI). Hierarchical reinforcement learning (HRL) offers a promising solution to this challenge by discovering and exploiting the temporal structure within a stream of experience. The strong appeal of the HRL framework has led to a rich and diverse body of literature attempting to discover a useful structure. However, it is still not clear how one might …

The Properties of Non-Potential Magnetic Field Parameters in a Super-Active Region with Complex Structures and Strong Solar Flares
Liu Suo, Shahid Idrees, Dian Liu, Shuguan Zeng
https://arxiv.org/abs/2506.13022

The Properties of Non-Potential Magnetic Field Parameters in a Super-Active Region with Complex Structures and Strong Solar Flares
In this study, the non-potential magnetic field parameters of active region NOAA 9077 are investigated; this AR experienced a super-strong X5.7 solar flare. Using advanced extrapolation techniques, the 3D magnetic field structure from vector magnetograms is obtained from the Solar Magnetic Field Telescope (SMFT) at Huairou Solar Observing Station (HSOS). Then various non-potential parameters are calculated, including current density, shear angle, quasi-separatrix layers (QSLs), twist, and field…

Homotopy types of moment-angle complexes associated to almost linear resolutions
Steven Amelotte, Benjamin Briggs
https://arxiv.org/abs/2506.15457 https://…

Homotopy types of moment-angle complexes associated to almost linear resolutions
We show that the Hurewicz image in the homology of a moment-angle complex, when passed through an isomorphism with the Ext-module of the corresponding Stanley-Reisner ideal, contains the linear strand of this ideal. This recovers and refines results of various authors identifying the homotopy type of a moment-angle complex as a wedge of spheres when the underlying ideal satisfies certain linearity properties. Going further, we study the homotopy types of moment-angle manifolds associated to Gor…

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Guojun Huang, Jiancheng An, Lu Gan, Dusit Niyato, M\'erouane Debbah, Tie Jun Cui
https://arxiv.org/abs/2506.12368

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Semantic communication (SemCom) powered by generative artificial intelligence enables highly efficient and reliable information transmission. However, it still necessitates the transmission of substantial amounts of data when dealing with complex scene information. In contrast, the stacked intelligent metasurface (SIM), leveraging wave-domain computing, provides a cost-effective solution for directly imaging complex scenes. Building on this concept, we propose an innovative SIM-aided multi-moda…

Efficient and Real-Time Motion Planning for Robotics Using Projection-Based Optimization
Xuemin Chi, Hakan Girgin, Tobias L\"ow, Yangyang Xie, Teng Xue, Jihao Huang, Cheng Hu, Zhitao Liu, Sylvain Calinon
https://arxiv.org/abs/2506.14865

Efficient and Real-Time Motion Planning for Robotics Using Projection-Based Optimization
Generating motions for robots interacting with objects of various shapes is a complex challenge, further complicated by the robot geometry and multiple desired behaviors. While current robot programming tools (such as inverse kinematics, collision avoidance, and manipulation planning) often treat these problems as constrained optimization, many existing solvers focus on specific problem domains or do not exploit geometric constraints effectively. We propose an efficient first-order method, Augm…

The invariant subspace problem and Rosenblum operators I
Junsheng Fang, Bingzhe Hou, Chunlan Jiang, Yuanhang Zhang
https://arxiv.org/abs/2506.15270 https:/…

The invariant subspace problem and Rosenblum operators I
Let $T\in B(\mathcal{H})$ be an invertible operator. From the 1940's, Gelfand, Hille and Wermer investigated the invariant subspaces of $T$ by analyzing the growth of $\|T^n\|$, where $n\in \mathbb{Z}$. In this paper, we study the invariant subspaces of $T$ by estimating the growth of $\|T^n+λT^{-n}\|$, where $n\in \mathbb{N}$ and $λ$ is a nonzero complex constant. The key ingredient of our approach is introducing the notion of shift representation operators, which is base…

Signal-First Architectures: Rethinking Front-End Reactivity
Shrinivass Arunachalam Balasubramanian
https://arxiv.org/abs/2506.13815 https://

Signal-First Architectures: Rethinking Front-End Reactivity
Modern front-end frameworks face escalating reactivity management challenges, including performance degradation from complex observable chains and unpredictable re-renders. This paper introduces Signal-First Architecture--a novel paradigm where granular, dependency-tracked signals are the atomic unit of reactivity. Unlike traditional RxJS or NgRx patterns, Signal-First enforces reactive flows from explicit signal declarations, with derived values via computed() and side effects scoped to effect…

The Teacher's Dilemma: Balancing Trade-Offs in Programming Education for Emergent Bilingual Students
Emma R. Dodoo, Tamara Nelson-Fromm, Mark Guzdial
https://arxiv.org/abs/2506.14147

The Teacher's Dilemma: Balancing Trade-Offs in Programming Education for Emergent Bilingual Students
K-12 computing teachers must navigate complex trade-offs when selecting programming languages and instructional materials for classrooms with emergent bilingual students. While they aim to foster an inclusive learning environment by addressing language barriers that impact student engagement, they must also align with K-12 computer science curricular guidelines and prepare students for industry-standard programming tools. Because programming languages predominantly use English keywords and most…

This https://arxiv.org/abs/2504.10914 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Breaking the Trend: How to Avoid Cherry-Picked Signals
Our empirical results, illustrated in Fig.5, show an impressive fit with the pretty complex theoritical Sharpe formula of a Trend following strategy depending on the parameter of the signal, which was derived by Grebenkov and Serror (2014). That empirical fit convinces us that a mean-reversion process with only one time scale is enough to model, in a pretty precise way, the reality of the trend-following mechanism at the average scale of CTAs and as a consequence, using only one simple EMA, app…

Replaced article(s) found for math.KT. https://arxiv.org/list/math.KT/new
[1/1]:
- On a complex topological orientation for circle-equivariant K-theory
J Morava

From Static to Dynamic: Exploring Temporal Networks in Systems Biology
Abir Khazaal, Fatemeh Vafaee
https://arxiv.org/abs/2505.10741 https://

From Static to Dynamic: Exploring Temporal Networks in Systems Biology
Network science has become an essential interdisciplinary tool for understanding complex biological systems. However, because these systems undergo continuous, often stimulus-driven changes in both structure and function, traditional static network approaches frequently fall short in capturing their dynamic nature. Dynamic network analysis (DNA) addresses this limitation and offers a powerful framework to investigate these evolving relationships. This work focuses on temporal networks, a centra…

Heute vor 67 Jahren: Am 16. Juni 1958 führte ein #Unfall im Y-12 National Security Complex dazu, dass hochangereichertes Uran eine 20-minütige #Kernspaltung auslöste. Acht Arbeiter erlitten starke Strahlenbelastungen. Die meisten erkrankten später an Krebs.

This https://arxiv.org/abs/2502.10523 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

The Quantum Wave Function as a Complex Probability Distribution
This paper suggests an interpretation for the wave function, based on some elements of Nelson's stochastic mechanics, the time-symmetric laws of quantum theory and complex probabilities. Our main purpose is to demonstrate that the wave function and its complex conjugate can be interpreted as complex probability densities (or quasi-probability distributions) related to non-real forward and backward in time stochastic motion respectively. Those two quasi-Brownian motions serve as mathematical abs…

Replaced article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- Weighted Szeg\H{o} Kernels on Planar Domains
Aakanksha Jain, Kaushal Verma

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
Avinash Baidya, Kamalika Das, Xiang Gao
https://arxiv.org/abs/2506.12266

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
Large Language Model (LLM)-based agents have significantly impacted Task-Oriented Dialog Systems (TODS) but continue to face notable performance challenges, especially in zero-shot scenarios. While prior work has noted this performance gap, the behavioral factors driving the performance gap remain under-explored. This study proposes a comprehensive evaluation framework to quantify the behavior gap between AI agents and human experts, focusing on discrepancies in dialog acts, tool usage, and kno…

Complex harmonic maps and rank 2 higher Teichm\"uller theory
Christian El Emam, Nathaniel Sagman
https://arxiv.org/abs/2506.11746 https://

Complex harmonic maps and rank 2 higher Teichmüller theory
We initiate and develop the theory of complex harmonic maps to holomorphic Riemannian symmetric spaces, which we make use of to study complex analytic aspects of higher Teichmüller theory, with a focus on rank $2$ Hitchin components. Complex harmonic maps lead to various generalizations of objects from the theory of Higgs bundles; for instance, the Hitchin fibration, cyclic Higgs bundles, and the affine Toda equations. Beyond such generalizations, we also find a relation between complex harm…

ChatModel: Automating Reference Model Design and Verification with LLMs
Jianmin Ye, Tianyang Liu, Qi Tian, Shengchu Su, Zhe Jiang, Xi Wang
https://arxiv.org/abs/2506.15066

ChatModel: Automating Reference Model Design and Verification with LLMs
As the complexity of integrated circuit designs continues to escalate, the functional verification becomes increasingly challenging. Reference models, critical for accelerating the verification process, are themselves becoming more intricate and time-consuming to develop. Despite the promise shown by large language models (LLMs) in code programming, effectively generating complex reference models remains a significant hurdle. To address these challenges, we introduce ChatModel, the first LLM-ai…

Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems
Shiyu Cheng, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran
https://arxiv.org/abs/2506.14749

Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems
In multi-agent systems, signal temporal logic (STL) is widely used for path planning to accomplish complex objectives with formal safety guarantees. However, as the number of agents increases, existing approaches encounter significant computational challenges. Recognizing that many complex tasks require cooperation among multiple agents, we propose swarm STL specifications to describe the collective tasks that need to be achieved by a team of agents. Next, we address the motion planning problem…

$B\rightarrow K \text{axion-like particles}$: effective versus UV-complete models and enhanced two-loop contributions
Xiyuan Gao, Ulrich Nierste
https://arxiv.org/abs/2506.14876

$B\rightarrow K + \text{axion-like particles}$: effective versus UV-complete models and enhanced two-loop contributions
An axion-like particle $a$ (ALP) can explain the excess of $B\rightarrow K + \text{invisible}$ events at Belle-II. However, many analyses of ALP scenarios are over-simplified. We revisit the $B\rightarrow K a$ transition rate in a popular minimal and UV complete model with two Higgs doublets (2HDM) and a complex singlet (DFSZ model). To this end we compare our results with previous studies which derived the $\overline{b}sa$ vertex from the $\overline{b}sA$ vertex, where $A$ is the heavy pseudo-…

MobileHolo: A Lightweight Complex-Valued Deformable CNN for High-Quality Computer-Generated Hologram
Xie Shuyang, Zhou Jie, Xu Bo, Wang Jun, Xu Renjing
https://arxiv.org/abs/2506.14542

MobileHolo: A Lightweight Complex-Valued Deformable CNN for High-Quality Computer-Generated Hologram
Holographic displays have significant potential in virtual reality and augmented reality owing to their ability to provide all the depth cues. Deep learning-based methods play an important role in computer-generated holograms (CGH). During the diffraction process, each pixel exerts an influence on the reconstructed image. However, previous works face challenges in capturing sufficient information to accurately model this process, primarily due to the inadequacy of their effective receptive fiel…

Context-Aware Deep Lagrangian Networks for Model Predictive Control
Lucas Schulze, Jan Peters, Oleg Arenz
https://arxiv.org/abs/2506.15249 https://

Context-Aware Deep Lagrangian Networks for Model Predictive Control
Controlling a robot based on physics-informed dynamic models, such as deep Lagrangian networks (DeLaN), can improve the generalizability and interpretability of the resulting behavior. However, in complex environments, the number of objects to potentially interact with is vast, and their physical properties are often uncertain. This complexity makes it infeasible to employ a single global model. Therefore, we need to resort to online system identification of context-aware models that capture on…

Expanding the Ice Inventory of NGC 1333 IRAS 2A with INDRA using JWST Observations: Tracing Organic Refractories and Beyond
Prathap Rayalacheruvu, Liton Majumdar, W. R. M. Rocha, Michael E. Ressler, Pabitra Ranjan Giri, S. Maitrey, K. Willacy, D. C. Lis, Y. Chen, P. D. Klaassen
https://arxiv.org/abs/2506.15358

Expanding the Ice Inventory of NGC 1333 IRAS 2A with INDRA using JWST Observations: Tracing Organic Refractories and Beyond
In the era of JWST, with its unprecedented sensitivity and spectral resolution, infrared spectral surveys have revealed a rich inventory of ices, including complex organic molecules (COMs), in young stellar objects (YSOs). However, robust methods to decompose and quantify these absorption features particularly across broad spectral ranges, are still under investigation. We present INDRA (Ice-fitting with NNLS-based Decomposition and Retrieval Algorithm), a fully Python-based tool that performs …

Algal Optics
Ming Yang, Sumit Kumar Birwa, Raymond E. Goldstein
https://arxiv.org/abs/2506.15214 https://arxiv.org/pdf/2506.15214

Algal Optics
Nearly a decade ago it was discovered that the spherical cell body of the alga $Chlamydomonas~reinhardtii$ can act as a lens to concentrate incoming light onto the cell's membrane-bound photoreceptor and thereby affect phototaxis. Since many nearly transparent cells in marine environments have complex, often non-axisymmetric shapes, this observation raises fundamental, yet little-explored questions in biological optics about light refraction by the bodies of microorganisms. There are two distin…

Level structures on parahoric torsors and complete integrability
Georgios Kydonakis, Lutian Zhao
https://arxiv.org/abs/2506.12302 https://

Level structures on parahoric torsors and complete integrability
For a smooth complex algebraic curve $X$ and a reduced effective divisor $D$ on $X$, we introduce a notion of $D$-level structure on parahoric $\mathcal{G}_{\boldsymbol θ}$-torsors over $X$, for any connected complex reductive Lie group $G$. A moduli space of parahoric $\mathcal{G}_{\boldsymbol θ}$-torsors equipped with a $D$-level structure is constructed and we identify a canonical moment map with respect to the action of a level group on this moduli space. This action extends to a Poisson …

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine
Adarsh Gupta, Bhabesh Mali, Chandan Karfa
https://arxiv.org/abs/2506.13983 http…

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine
Recent advancements in the field of reasoning using Large Language Models (LLMs) have created new possibilities for more complex and automatic Hardware Assertion Generation techniques. This paper introduces SANGAM, a SystemVerilog Assertion Generation framework using LLM-guided Monte Carlo Tree Search for the automatic generation of SVAs from industry-level specifications. The proposed framework utilizes a three-stage approach: Stage 1 consists of multi-modal Specification Processing using Sign…

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning
Zhenhao Zhu, Yue Liu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Xinzhong Zhu, Jiaheng Zhang
https://arxiv.org/abs/2506.13737

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning
Large Reasoning Models (LRMs) have demonstrated promising performance in complex tasks. However, the resource-consuming reasoning processes may be exploited by attackers to maliciously occupy the resources of the servers, leading to a crash, like the DDoS attack in cyber. To this end, we propose a novel attack method on LRMs termed ExtendAttack to maliciously occupy the resources of servers by stealthily extending the reasoning processes of LRMs. Concretely, we systematically obfuscate characte…

Six-DoF Hand-Based Teleoperation for Omnidirectional Aerial Robots
Jinjie Li, Jiaxuan Li, Kotaro Kaneko, Liming Shu, Moju Zhao
https://arxiv.org/abs/2506.15009

Six-DoF Hand-Based Teleoperation for Omnidirectional Aerial Robots
Omnidirectional aerial robots offer full 6-DoF independent control over position and orientation, making them popular for aerial manipulation. Although advancements in robotic autonomy, operating by human remains essential in complex aerial environments. Existing teleoperation approaches for multirotors fail to fully leverage the additional DoFs provided by omnidirectional rotation. Additionally, the dexterity of human fingers should be exploited for more engaged interaction. In this work, we p…

How Does LLM Reasoning Work for Code? A Survey and a Call to Action
Ira Ceka, Saurabh Pujar, Irene Manotas, Gail Kaiser, Baishakhi Ray, Shyam Ramji
https://arxiv.org/abs/2506.13932

How Does LLM Reasoning Work for Code? A Survey and a Call to Action
The rise of large language models (LLMs) has led to dramatic improvements across a wide range of natural language tasks. These advancements have extended into the domain of code, facilitating complex tasks such as code generation, translation, summarization, and repair. However, their utility for real-world deployment in-the-wild has only recently been studied, particularly on software engineering (SWE) tasks such as GitHub issue resolution. In this study, we examine the code reasoning techniqu…

Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
Yu Tan, Yongxiang Li, Xiaowu Dai, Kwok-Leung Tsui
https://arxiv.org/abs/2506.12701

Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
Functional ANOVA (FANOVA) is a widely used variance-based sensitivity analysis tool. However, studies on functional-output FANOVA remain relatively scarce, especially for black-box computer experiments, which often involve complex and nonlinear functional-output relationships with unknown data distribution. Conventional approaches often rely on predefined basis functions or parametric structures that lack the flexibility to capture complex nonlinear relationships. Additionally, strong assumptio…

[2025-06-19 Thu (UTC), 5 new articles found for math.CV Complex Variables]
toXiv_bot_toot

Machine learning based prediction of dynamical clustering in granular gases
Sai Preetham Sata, Ralf Stannarius, Benjamin Noack, Dmitry Puzyrev
https://arxiv.org/abs/2506.15657

Machine learning based prediction of dynamical clustering in granular gases
When dense granular gases are continuously excited under microgravity conditions, spatial inhomogeneities of the particle number density can emerge. A significant share of particles may collect in strongly overpopulated regions, called clusters. This dynamical clustering, or gas-cluster transition, is caused by a complex interplay and balance between the energy influx and dissipation in particle collisions. Particle number density, container geometry, and excitation strength influence this tran…

Near-field optical mode engineering-enabled freeform nonlocal metasurfaces
Zhongjun Jiang, Tianxiang Dai, Shuwei Guo, Soyaib Sohag, Yixuan Shao, Chenkai Mao, Andrea Al\`u, Jonathan A. Fan, You Zhou
https://arxiv.org/abs/2506.15495

Near-field optical mode engineering-enabled freeform nonlocal metasurfaces
Nanophotonic technologies inherently rely on tailoring light-matter interactions through the excitation and interference of deeply confined optical resonances. However, existing concepts in optical mode engineering remain heuristic and are challenging to extend towards complex and multi-functional resonant phenomena. Here, we introduce an inverse design framework that optimizes near-field distributions, ideally suited to tailor Mie-type modes within dielectric nanophotonic structures, and we de…

Time-Optimized Safe Navigation in Unstructured Environments through Learning Based Depth Completion
Jeffrey Mao, Raghuram Cauligi Srinivas, Steven Nogar, Giuseppe Loianno
https://arxiv.org/abs/2506.14975

Time-Optimized Safe Navigation in Unstructured Environments through Learning Based Depth Completion
Quadrotors hold significant promise for several applications such as agriculture, search and rescue, and infrastructure inspection. Achieving autonomous operation requires systems to navigate safely through complex and unfamiliar environments. This level of autonomy is particularly challenging due to the complexity of such environments and the need for real-time decision making especially for platforms constrained by size, weight, and power (SWaP), which limits flight time and precludes the use…

A Variational Framework for Improving Naturalness in Generative Spoken Language Models
Li-Wei Chen, Takuya Higuchi, Zakaria Aldeneh, Ahmed Hussen Abdelaziz, Alexander Rudnicky
https://arxiv.org/abs/2506.14767

A Variational Framework for Improving Naturalness in Generative Spoken Language Models
The success of large language models in text processing has inspired their adaptation to speech modeling. However, since speech is continuous and complex, it is often discretized for autoregressive modeling. Speech tokens derived from self-supervised models (known as semantic tokens) typically focus on the linguistic aspects of speech but neglect prosodic information. As a result, models trained on these tokens can generate speech with reduced naturalness. Existing approaches try to fix this by…

A statistical mechanical view of complex economies under the green transition
Filippo Marcuccini, Giacomo Livan
https://arxiv.org/abs/2506.11739 https://…

A statistical mechanical view of complex economies under the green transition
We propose a stylized model of a complex economy to explore the economic tradeoffs imposed by the so called "green transition" -- the shift towards more sustainable production paradigms -- using tools from the Statistical Mechanics of disordered systems. Namely, we promote the parameters of a standard input-output economic model to random variables, in order to characterize the typical statistical properties of its equilibria. A central feature of our work is the explicit inclusion of a waste v…

LocationReasoner: Evaluating LLMs on Real-World Site Selection Reasoning
Miho Koda, Yu Zheng, Ruixian Ma, Mingyang Sun, Devesh Pansare, Fabio Duarte, Paolo Santi
https://arxiv.org/abs/2506.13841

LocationReasoner: Evaluating LLMs on Real-World Site Selection Reasoning
Recent advances in large language models (LLMs), particularly those enhanced through reinforced post-training, have demonstrated impressive reasoning capabilities, as exemplified by models such as OpenAI o1 and DeepSeek-R1. However, these capabilities are predominantly benchmarked on domains like mathematical problem solving and code generation -- leaving open the question of whether such reasoning skills generalize to complex, real-world scenarios. In this paper, we introduce LocationReasoner,…

Normal Holonomy of Complex Hyperbolic Submanifolds
Santiago Casta\~neda Montoya, Carlos E. Olmos
https://arxiv.org/abs/2506.11323 https://

Normal Holonomy of Complex Hyperbolic Submanifolds
We prove that the restricted normal holonomy group of a Kähler submanifold of the complex hyperbolic space $\mathbb{C}H^{n}$ is always transitive, provided the index of relative nullity is zero. This contrasts with the case of $\mathbb{C}P^{n}$, where a Berger type result was proved by Console, Di Scala, and the second author. The proof is based on lifting the submanifold to the pseudo-Riemannian space $\mathbb{C}^{n,1}$ and developing new tools to handle the difficulties arising from possible…

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
Shiting Huang, Zhen Fang, Zehui Chen, Siyu Yuan, Junjie Ye, Yu Zeng, Lin Chen, Qi Mao, Feng Zhao
https://arxiv.org/abs/2506.13977

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
The ability of large language models (LLMs) to utilize external tools has enabled them to tackle an increasingly diverse range of tasks. However, as the tasks become more complex and long-horizon, the intricate tool utilization process may trigger various unexpected errors. Therefore, how to effectively handle such errors, including identifying, diagnosing, and recovering from them, has emerged as a key research direction for advancing tool learning. In this work, we first extensively analyze t…

3D Vision-tactile Reconstruction from Infrared and Visible Images for Robotic Fine-grained Tactile Perception
Yuankai Lin, Xiaofan Lu, Jiahui Chen, Hua Yang
https://arxiv.org/abs/2506.15087

3D Vision-tactile Reconstruction from Infrared and Visible Images for Robotic Fine-grained Tactile Perception
To achieve human-like haptic perception in anthropomorphic grippers, the compliant sensing surfaces of vision tactile sensor (VTS) must evolve from conventional planar configurations to biomimetically curved topographies with continuous surface gradients. However, planar VTSs have challenges when extended to curved surfaces, including insufficient lighting of surfaces, blurring in reconstruction, and complex spatial boundary conditions for surface structures. With an end goal of constructing a …

Approximation of pseudohermitian structures via embeddings into spheres
Hendrik Herrmann, Chin-Yu Hsiao, Bernhard Lamel
https://arxiv.org/abs/2506.14033 ht…

Approximation of pseudohermitian structures via embeddings into spheres
Let $(X,T^{1,0}X)$ be a compact strictly pseudoconvex CR manifold which is CR embeddable into the complex Euclidean space. We show that $T^{1,0}X$ can be approximated in $\mathscr{C}^\infty$-topology by a sequence of strictly pseudoconvex CR structures $\{\mathcal{V}^k\}_{k\in \mathbb N}$ such that each $(X,\mathcal{V}^k)$ is CR embeddable into the unit sphere of a complex Euclidean space. Furthermore, as a refinement of this statement, we show that given a one form $α$ on $X$ such that $(X,T^…

Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models
Chenchen Yuan, Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
https://arxiv.org/abs/2506.14625

Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models
Large Language Models (LLMs) have shown impressive moral reasoning abilities. Yet they often diverge when confronted with complex, multi-factor moral dilemmas. To address these discrepancies, we propose a framework that synthesizes multiple LLMs' moral judgments into a collectively formulated moral judgment, realigning models that deviate significantly from this consensus. Our aggregation mechanism fuses continuous moral acceptability scores (beyond binary labels) into a collective probability,…

MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios
Jinyang Huang, Xiachong Feng, Qiguang Chen, Hanjie Zhao, Zihui Cheng, Jiesong Bai, Jingxuan Zhou, Min Li, Libo Qin
https://arxiv.org/abs/2506.13824

MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios
Code debugging is a crucial task in software engineering, which attracts increasing attention. While remarkable success has been made in the era of large language models (LLMs), current research still focuses on the simple no-library or single-library setting, ignoring the complex multi-library scenario in real-world applications. To address this limitation, we make the first attempt to introduce MLDebugging (Multi-Library Debugging), a comprehensive benchmark designed to assess debugging chall…

Deformed Aeppli cohomology: canonical deformations and jumping formulas
Yan Hu, Wei Xia
https://arxiv.org/abs/2506.12288 https://arxi…

Deformed Aeppli cohomology: canonical deformations and jumping formulas
Given a complex analytic family of complex manifolds, we consider canonical Aeppli deformations of $(p,q)$-forms and study its relations to the varying of dimension of the deformed Aeppli cohomology $\dim H^{\bullet,\bullet}_{Aϕ(t)}(X)$. In particular, we prove the jumping formula for the deformed Aeppli cohomology $H^{\bullet,\bullet}_{Aϕ(t)}(X)$. As a direct consequence, $\dim H^{p,q}_{Aϕ(t)}(X)$ remains constant iff the Bott-Chern deformations of $(n-p,n-q)$-forms and the Aeppli deformati…

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
Anton Changalidis, Aki H\"arm\"a
https://arxiv.org/abs/2506.14704

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
This paper studies how the model architecture and data configurations influence the empirical memorization capacity of generative transformers. The models are trained using synthetic text datasets derived from the Systematized Nomenclature of Medicine (SNOMED) knowledge graph: triplets, representing static connections, and sequences, simulating complex relation patterns. The results show that embedding size is the primary determinant of learning speed and capacity, while additional layers provi…

Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees
Ahmed Heakl, Sarim Hashmi, Chaimaa Abi, Celine Lee, Abdulrahman Mahmoud
https://arxiv.org/abs/2506.14606

Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees
The hardware ecosystem is rapidly evolving, with increasing interest in translating low-level programs across different instruction set architectures (ISAs) in a quick, flexible, and correct way to enhance the portability and longevity of existing code. A particularly challenging class of this transpilation problem is translating between complex- (CISC) and reduced- (RISC) hardware architectures, due to fundamental differences in instruction complexity, memory models, and execution paradigms. I…

DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
Maximilian Du, Shuran Song
https://arxiv.org/abs/2506.13922 https://

DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
Deploying large, complex policies in the real world requires the ability to steer them to fit the needs of a situation. Most common steering approaches, like goal-conditioning, require training the robot policy with a distribution of test-time objectives in mind. To overcome this limitation, we present DynaGuide, a steering method for diffusion policies using guidance from an external dynamics model during the diffusion denoising process. DynaGuide separates the dynamics model from the base pol…

AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
Leah von der Heyde, Anna-Carolina Haensch, Bernd Wei{\ss}, Jessika Daikeler
https://arxiv.org/abs/2506.14634

AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
The recent development and wider accessibility of LLMs have spurred discussions about how they can be used in survey research, including classifying open-ended survey responses. Due to their linguistic capacities, it is possible that LLMs are an efficient alternative to time-consuming manual coding and the pre-training of supervised machine learning models. As most existing research on this topic has focused on English-language responses relating to non-complex topics or on single LLMs, it is u…

Quadrotor Morpho-Transition: Learning vs Model-Based Control Strategies
Ioannis Mandralis, Richard M. Murray, Morteza Gharib
https://arxiv.org/abs/2506.14039

Quadrotor Morpho-Transition: Learning vs Model-Based Control Strategies
Quadrotor Morpho-Transition, or the act of transitioning from air to ground through mid-air transformation, involves complex aerodynamic interactions and a need to operate near actuator saturation, complicating controller design. In recent work, morpho-transition has been studied from a model-based control perspective, but these approaches remain limited due to unmodeled dynamics and the requirement for planning through contacts. Here, we train an end-to-end Reinforcement Learning (RL) controll…

TUM Teleoperation: Open Source Software for Remote Driving and Assistance of Automated Vehicles
Tobias Kerbl, David Brecht, Nils Gehrke, Nijinshan Karunainayagam, Niklas Krauss, Florian Pfab, Richard Taupitz, Ines Trautmannsheimer, Xiyan Su, Maria-Magdalena Wolf, Frank Diermeyer
https://arxiv.org/abs/2506.13933

TUM Teleoperation: Open Source Software for Remote Driving and Assistance of Automated Vehicles
Teleoperation is a key enabler for future mobility, supporting Automated Vehicles in rare and complex scenarios beyond the capabilities of their automation. Despite ongoing research, no open source software currently combines Remote Driving, e.g., via steering wheel and pedals, Remote Assistance through high-level interaction with automated driving software modules, and integration with a real-world vehicle for practical testing. To address this gap, we present a modular, open source teleoperat…

Pose State Perception of Interventional Robot for Cardio-cerebrovascular Procedures
Shunhan Ji, Yanxi Chen, Zhongyu Yang, Quan Zhang, Xiaohang Nie, Jingqian Sun, Yichao Tang
https://arxiv.org/abs/2506.14201

Pose State Perception of Interventional Robot for Cardio-cerebrovascular Procedures
In response to the increasing demand for cardiocerebrovascular interventional surgeries, precise control of interventional robots has become increasingly important. Within these complex vascular scenarios, the accurate and reliable perception of the pose state for interventional robots is particularly crucial. This paper presents a novel vision-based approach without the need of additional sensors or markers. The core of this paper's method consists of a three-part framework: firstly, a dual-he…

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes
Zeyuan Chen, Qiyang Yan, Yuanpei Chen, Tianhao Wu, Jiyao Zhang, Zihan Ding, Jinzhou Li, Yaodong Yang, Hao Dong
https://arxiv.org/abs/2506.14317

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes
Dexterous grasping in cluttered scenes presents significant challenges due to diverse object geometries, occlusions, and potential collisions. Existing methods primarily focus on single-object grasping or grasp-pose prediction without interaction, which are insufficient for complex, cluttered scenes. Recent vision-language-action models offer a potential solution but require extensive real-world demonstrations, making them costly and difficult to scale. To address these limitations, we revisit …

Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation
Prashant Kumar Rai, Elham Kowsari, Nataliya Strokina, Reza Ghabcheloo
https://arxiv.org/abs/2506.14294

Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation
We present a method for estimating ego-velocity in autonomous navigation by integrating high-resolution imaging radar with an inertial measurement unit. The proposed approach addresses the limitations of traditional radar-based ego-motion estimation techniques by employing a neural network to process complex-valued raw radar data and estimate instantaneous linear ego-velocity along with its associated uncertainty. This uncertainty-aware velocity estimate is then integrated with inertial measure…

Enhancing Object Search in Indoor Spaces via Personalized Object-factored Ontologies
Akash Chikhalikar, Ankit A. Ravankar, Jose Victorio Salazar Luces, Yasuhisa Hirata
https://arxiv.org/abs/2506.14422

Enhancing Object Search in Indoor Spaces via Personalized Object-factored Ontologies
Personalization is critical for the advancement of service robots. Robots need to develop tailored understandings of the environments they are put in. Moreover, they need to be aware of changes in the environment to facilitate long-term deployment. Long-term understanding as well as personalization is necessary to execute complex tasks like prepare dinner table or tidy my room. A precursor to such tasks is that of Object Search. Consequently, this paper focuses on locating and searching multipl…

TACS-Graphs: Traversability-Aware Consistent Scene Graphs for Ground Robot Indoor Localization and Mapping
Jeewon Kim, Minho Oh, Hyun Myung
https://arxiv.org/abs/2506.14178

TACS-Graphs: Traversability-Aware Consistent Scene Graphs for Ground Robot Indoor Localization and Mapping
Scene graphs have emerged as a powerful tool for robots, providing a structured representation of spatial and semantic relationships for advanced task planning. Despite their potential, conventional 3D indoor scene graphs face critical limitations, particularly under- and over-segmentation of room layers in structurally complex environments. Under-segmentation misclassifies non-traversable areas as part of a room, often in open spaces, while over-segmentation fragments a single room into overla…