Tootfinder

Raiders place DT Christian Wilkins on Physically Unable to Perform list https://www.raiders.com/news/raiders-place-dt-christian-wilkins-on-physically-unable-to-perform-list

Surge of childhood diabetes due to wartime stress: https://benborges.xyz/2025/07/20/surge-of-childhood-diabetes-due.html

VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
Jailing Lin, Shu Jiang, Qingyuan Zeng, Zhenzhong Wang, Min Jiang
https://arxiv.org/abs/2508.13792

VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
The intrinsic dynamics of an object governs its physical behavior in the real world, playing a critical role in enabling physically plausible interactive simulation with 3D assets. Existing methods have attempted to infer the intrinsic dynamics of objects from visual observations, but generally face two major challenges: one line of work relies on manually defined constitutive priors, making it difficult to generalize to complex scenarios; the other models intrinsic dynamics using neural networ…

49ers' Pearsall (hamstring) to start camp on PUP https://www.espn.com/nfl/story/_/id/45771042/receivers-ricky-pearsall-brandon-aiyuk-49ers-start-training-camp-pup-list

Diff-MSM: Differentiable MusculoSkeletal Model for Simultaneous Identification of Human Muscle and Bone Parameters
Yingfan Zhou, Philip Sanderink, Sigurd Jager Lemming, Cheng Fang
https://arxiv.org/abs/2508.13303

Diff-MSM: Differentiable MusculoSkeletal Model for Simultaneous Identification of Human Muscle and Bone Parameters
High-fidelity personalized human musculoskeletal models are crucial for simulating realistic behavior of physically coupled human-robot interactive systems and verifying their safety-critical applications in simulations before actual deployment, such as human-robot co-transportation and rehabilitation through robotic exoskeletons. Identifying subject-specific Hill-type muscle model parameters and bone dynamic parameters is essential for a personalized musculoskeletal model, but very challenging…

BELT: Block Encoding of Linear Transformation on Density Matrices
Fuchuan Wei, Rundi Lu, Yuguo Shao, Junfeng Li, Jin-Peng Liu, Zhengwei Liu
https://arxiv.org/abs/2508.12858 http…

BELT: Block Encoding of Linear Transformation on Density Matrices
Linear maps that are not completely positive play a crucial role in the study of quantum information, yet their non-completely positive nature renders them challenging to realize physically. The core difficulty lies in the fact that when acting such a map $\mathcal{N}$ on a state $ρ$, $\mathcal{N}(ρ)$ may not correspond to a valid density matrix, making it difficult to prepare directly in a physical system. We introduce Block Encoding of Linear Transformation (BELT), a systematic protocol tha…

CUDA Assisted Swampland and Black Hole Thermodynamics
Saad Eddine Baddis, Adil Belhaj, Hajar Belmahi
https://arxiv.org/abs/2508.12378 https://arxiv.org/pdf…

CUDA Assisted Swampland and Black Hole Thermodynamics
Motivated by string theory activities, we investigate the swampland program in the black hole context via CUDA numerical computations. Precisely, we study charged black hole solutions submerged in a hypergeometric inflationary potential extracted from Gauss-Bonnet scalar couplings to the Einstein-Maxwell-Hilbert action. Exploiting CUDA enabled parallel programming techniques, we examine the scalar potential behaviors permitting to derive the physically relevant roots of the black hole metric fu…

Deep Biomechanically-Guided Interpolation for Keypoint-Based Brain Shift Registration
Tiago Assis, Ines P. Machado, Benjamin Zwick, Nuno C. Garcia, Reuben Dorent
https://arxiv.org/abs/2508.13762

Deep Biomechanically-Guided Interpolation for Keypoint-Based Brain Shift Registration
Accurate compensation of brain shift is critical for maintaining the reliability of neuronavigation during neurosurgery. While keypoint-based registration methods offer robustness to large deformations and topological changes, they typically rely on simple geometric interpolators that ignore tissue biomechanics to create dense displacement fields. In this work, we propose a novel deep learning framework that estimates dense, physically plausible brain deformations from sparse matched keypoints.…

Generalized Algebra Grounded on Nonadditive Entropies
Leandro Lyra Braga Dognini, Constantino Tsallis
https://arxiv.org/abs/2508.13324 https://arxiv.org/pd…

Generalized Algebra Grounded on Nonadditive Entropies
A $N$-body system is simple if all associated physically relevant space-time correlations are short-ranged, meaning that their momenta of all orders are finite. Such systems typically have a total number $W$ of admissible microscopic configurations which grows with $N$ as $W(N) \sim μ^N\;(μ>1, \, N\to\infty)$. Their thermostatistical properties are known to be satisfactorily handled within Boltzmann-Gibbs (BG) statistical mechanics. In contrast, a system is complex if one or more associated c…

Learning to Estimate Photospheric Vector Fields from Line-of-Sight Magnetograms
David Fouhey, KD Leka
https://arxiv.org/abs/2508.13929 https://arxiv.org/pd…

Learning to Estimate Photospheric Vector Fields from Line-of-Sight Magnetograms
Solar photospheric line-of-sight magnetograms are easier to estimate than full vector magnetograms since the line-of-sight component (Blos) can be obtained from total intensity and circular polarization signals, unlike the perpendicular component (Bperp), which depends on harder-to-measure linear polarization. Unfortunately, the line of sight component by itself is not physically meaningful, as it is just one component of the underlying vector and one whose relationship to gravity changes pixel…

MrMARTIAN: A Multi-resolution Mass Reconstruction Algorithm Combining Free-form and Analytic Components
Sangjun Cha, M. James Jee
https://arxiv.org/abs/2508.13262 https://

MrMARTIAN: A Multi-resolution Mass Reconstruction Algorithm Combining Free-form and Analytic Components
We present ${\tt MrMARTIAN}$ (Multi-resolution MAximum-entropy Reconstruction Technique Integrating Analytic Node), a new hybrid strong lensing (SL) modeling algorithm. By incorporating physically motivated analytic nodes into the free-form method ${\tt MARS}$, ${\tt MrMARTIAN}$ enables stable and flexible mass reconstructions while mitigating oversmoothing in the inner mass profile. Its multi-resolution framework increases the degrees of freedom in regions with denser strong lensing constraint…

Strong solutions for a class of stochastic thermo-magneto-hydrodynamic-type systems with multiplicative noise
Agus L. Soenjaya, Thanh Tran
https://arxiv.org/abs/2509.14490 https…

Strong solutions for a class of stochastic thermo-magneto-hydrodynamic-type systems with multiplicative noise
We study the existence and uniqueness of strong solutions, in the sense of PDEs and probability, for a broad class of nonlinear stochastic partial differential equations (SPDEs) on a bounded domain $\mathscr{O}\subset \mathbb{R}^d$ ($d\leq 3$), perturbed by spatially correlated multiplicative noise. Our framework applies to many physically relevant systems, including stochastic convective Brinkman--Forchheimer equations, stochastic magnetohydrodynamics (MHD), stochastic Bénard convection in po…

The music you listen to physically reshapes your brain, according to neuroscience
https://techfixated.com/the-music-you-listen-to-physically-reshapes-your-brain-a…

The music you listen to physically reshapes your brain, according to neuroscience
Neuroscientists have discovered something remarkable: the music you listen to doesn't just affect your mood temporarily—it physically reshapes your neural

The other thing I want to remedy on this laptop is that IBM in their great wisdom decided that I needed a SIM slot (with no WWAN option) but no microSD card reader. I reckon it should be possible to physically shove an SD slot behind the SIM hole, but the plumbing will be another story.

Cowboys' Dak Prescott locks in, shows NFL he's physically back with play that set up winning field goal

https://www.cbssports.com/nfl/news/cowboys-dak-prescott…

Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities
Liuyi Wang, Xinyuan Xia, Hui Zhao, Hanqing Wang, Tai Wang, Yilun Chen, Chengju Liu, Qijun Chen, Jiangmiao Pang
https://arxiv.org/abs/2507.13019

Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities
Recent Vision-and-Language Navigation (VLN) advancements are promising, but their idealized assumptions about robot movement and control fail to reflect physically embodied deployment challenges. To bridge this gap, we introduce VLN-PE, a physically realistic VLN platform supporting humanoid, quadruped, and wheeled robots. For the first time, we systematically evaluate several ego-centric VLN methods in physical robotic settings across different technical pipelines, including classification mod…

Dynamical decoupling protection for three-level systems
P. Z. Zhao, Lei Qiao
https://arxiv.org/abs/2509.15063 https://arxiv.org/pdf/2509.15063

Dynamical decoupling protection for three-level systems
In addition to the traditional two-level system, the three-level system serves as another important elemental building block for the manipulation of qubits. However, the quantum information processing in the three-level system is also subject to the decoherence induced by the interaction between the quantum system and its environment or by the crosstalk between different qutrits. In this work, we construct a sequence of physically feasible dynamical decoupling operators for the three-level syst…

What Wilkins’ Addition to PUP List Means for the Raiders https://www.si.com/nfl/raiders/news/what-wilkins-addition-to-pup-list-means-for-the-raiders-01k084e9mhd9

On CP-violation and quark masses: reducing the number of free parameters
A. Kleppe
https://arxiv.org/abs/2508.11081 https://arxiv.org/pdf/2508.11081…

On CP-violation and quark masses: reducing the number of free parameters
A physically viable ansatz for quark mass matrices must satisfy certain constraints, like the constraint imposed by CP-violation. In this article we study a concrete example, by looking at some generic matrices with a nearly democratic texture, and the implications of the constraints imposed by CP-violation, specifically the Jarlskog invariant. This constraint reduces the number of parameters from six to five, implying that the six mass eigenvalues of the up-quarks and the down-quarks are inter…

Multifrequency system model for multiport time-modulated scatterers
Aleksandr D. Kuznetsov (Aalto University), Jari Holopainen (Aalto University), Ville Viikari (Aalto University)
https://arxiv.org/abs/2507.13130

Multifrequency system model for multiport time-modulated scatterers
Utilizing scatterers in communication engineering, such as reconfigurable intelligent surfaces (RISs) and backscatter systems, requires physically consistent models for accurate performance prediction. A multiport model, which also accounts for structural scattering, has been developed for non-periodic scatterers. However, many emerging systems operate at multiple frequencies or generate intermodulation harmonics, particularly when incorporating space-time modulation (STM) or dynamic load contr…

A Visualized Framework for Event Cooperation with Generative Agents
Yuyang Tian, Shunqiang Mao, Wenchang Gao, Lanlan Qiu, Tianxing He
https://arxiv.org/abs/2509.13011 https://…

A Visualized Framework for Event Cooperation with Generative Agents
Large Language Models (LLMs) have revolutionized the simulation of agent societies, enabling autonomous planning, memory formation, and social interactions. However, existing frameworks often overlook systematic evaluations for event organization and lack visualized integration with physically grounded environments, limiting agents' ability to navigate spaces and interact with items realistically. We develop MiniAgentPro, a visualization platform featuring an intuitive map editor for customizin…

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation
Harold Haodong Chen, Haojian Huang, Qifeng Chen, Harry Yang, Ser-Nam Lim
https://arxiv.org/abs/2508.10858

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation
Recent advancements in video generation have enabled the creation of high-quality, visually compelling videos. However, generating videos that adhere to the laws of physics remains a critical challenge for applications requiring realism and accuracy. In this work, we propose PhysHPO, a novel framework for Hierarchical Cross-Modal Direct Preference Optimization, to tackle this challenge by enabling fine-grained preference alignment for physically plausible video generation. PhysHPO optimizes vid…

The fundamental physical importance of generic off-diagonal solutions and Grigori Perelman entropy in the Einstein gravity theory
Sergiu I. Vacaru, El\c{s}en V. Veliev
https://arxiv.org/abs/2508.10939 …

The fundamental physical importance of generic off-diagonal solutions and Grigori Perelman entropy in the Einstein gravity theory
The gravitational field equations in general relativity (GR) consist of a sophisticated system of nonlinear partial differential equations. Solving such equations in some generic off-diagonal forms is usually a hard analytic or numeric task. Physically important solutions in GR were constructed using a diagonal ansatz for metrics with a maximum of 4 independent coefficients. The Einstein equations can be solved in exact or parametric forms determined by some integration constants for correspond…

Inertia Tames Fluctuations in Autonomous Stationary Heat Engines
Enrique P. Cital, Viktor Holubec
https://arxiv.org/abs/2508.12936 https://arxiv.org/pdf/25…

Inertia Tames Fluctuations in Autonomous Stationary Heat Engines
Thermodynamic uncertainty relations (TURs) provide fundamental constraints on the interplay between power fluctuations, entropy production, and efficiency in overdamped stationary autonomous heat engines. However, their validity in underdamped regimes remains limited and less explored. Here, we analytically and numerically study a physically realizable autonomous heat engine composed of two underdamped continuous degrees of freedom coupled to a two-level system. We show that this nonlinear setu…

The Mars House was a fun read. I enjoyed the ideas Natasha Pulley has put into worldbuilding: How would people change when living on Mars, as society and physically? How would languages and tech evolve? The actual story is a wee bit too YA soap lit for my taste but as I said: a fun read!

Toward General Physical Intelligence for Resilient Agile Manufacturing Automation
Sandeep Kanta, Mehrdad Tavassoli, Varun Teja Chirkuri, Venkata Akhil Kumar, Santhi Bharath Punati, Praveen Damacharla, Sunny Katyara
https://arxiv.org/abs/2508.11960

Toward General Physical Intelligence for Resilient Agile Manufacturing Automation
Agile and human-centric manufacturing stipulates resilient robotic solutions capable of contextual reasoning and safe interaction in unstructured environments. Foundation models particularly the Vision Language Action (VLA) models have emerged to fuse multimodal perception, reasoning and physically grounded action across varied embodiments into unified representation, termed as General Physical Intelligence (GPI). While GPI has already been described in the literature but its practical applicat…

OK, anarchists, you know what to do now. And order them with extra Italian dressing.
#FightThugsWithFood https://mastodon.social/@QasimRashid/115030354741780164

What Wilkins' Addition to PUP List Means for the Raiders https://www.si.com/nfl/raiders/news/what-wilkins-addition-to-pup-list-means-for-the-raiders-01k084e9mhd9

Is there like a zigbee (or anything that works with home-assistant) device that can connect/disconnect a HDMI cable (4k, etc)? Even better if it’s also a HDMI switch, but just being able to disable the connection without physically removing the cable when my TV is off would be good enough

Designing binary mixtures of colloidal particles with simple interactions that assemble complex crystals
Beth Hsiao-Yen Wei, C. Levi Petix, Qizan Chen, Michael P. Howard, Jeetain Mittal
https://arxiv.org/abs/2507.13166

Designing binary mixtures of colloidal particles with simple interactions that assemble complex crystals
Computational methods for designing interactions between colloidal particles that induce self-assembly have received much attention for their promise to discover tailored materials. However, it often remains a challenge to translate computationally designed interactions to experiments because they may have features that are too complex, or even infeasible, to physically realize. Toward bridging this gap, we leverage relative-entropy minimization to design pair potentials for binary mixtures of …

What’s this?
Oh, just ICE physically assaulting a candidate for Congress.
https://bsky.app/profile/katmabu.bsky.social/post/3lyn5patt7222

Kat Abughazaleh (@katmabu.bsky.social)
We’re peacefully protesting for our neighbors. What does ICE do? Pick us up and throw us on the ground. No arrest, no identification, no process. [contains quote post or other embedded content]

Nearly optimal algorithms to learn sparse quantum Hamiltonians in physically motivated distances
Amira Abbas, Nunzia Cerrato, Francisco Escudero Guti\'errez, Dmitry Grinko, Francesco Anna Mele, Pulkit Sinha
https://arxiv.org/abs/2509.09813

Nearly optimal algorithms to learn sparse quantum Hamiltonians in physically motivated distances
We study the problem of learning Hamiltonians $H$ that are $s$-sparse in the Pauli basis, given access to their time evolution. Although Hamiltonian learning has been extensively investigated, two issues recur in much of the existing literature: the absence of matching lower bounds and the use of mathematically convenient but physically opaque error measures. We address both challenges by introducing two physically motivated distances between Hamiltonians and designing a nearly optimal algori…

Homogenization with Guaranteed Bounds via Primal-Dual Physically Informed Neural Networks
Liya Gaynutdinova, Martin Do\v{s}k\'a\v{r}, Ond\v{r}ej Roko\v{s}, Ivana Pultarov\'a
https://arxiv.org/abs/2509.07579

Homogenization with Guaranteed Bounds via Primal-Dual Physically Informed Neural Networks
Physics-informed neural networks (PINNs) have shown promise in solving partial differential equations (PDEs) relevant to multiscale modeling, but they often fail when applied to materials with discontinuous coefficients, such as media with piecewise constant properties. This paper introduces a dual formulation for the PINN framework to improve the reliability of the homogenization of periodic thermo-conductive composites, for both strong and variational (weak) formulations. The dual approach fa…

Os vídeos de posseiros israelenses hostilizando palestinos e até mesmo turistas cristãos são abundantes e dišrios. É incrivelmente absurdo.
Aqui, como posseiros israelenses ocupam os assentamentos palestinos:
https://www.instagram.com/reel/DN97GEtiiif/?igsh=MW82…

@matth.water on Instagram: "This morning US-backed colonists invaded Umm al-Kheir's private land twice, destroying vegetation and physically assaulting Palestinians."
13K likes, 4,105 comments - matth.water on August 29, 2025: "This morning US-backed colonists invaded Umm al-Kheir's private land twice, destroying vegetation and physically assaulting Palestinians.".

Accelerating Mirrors as a Physical Realization of the Kappa Plane-Wave Vacuum
Arash Azizi
https://arxiv.org/abs/2509.14239 https://arxiv.org/pdf/2509.14239…

Accelerating Mirrors as a Physical Realization of the Kappa Plane-Wave Vacuum
The kappa plane-wave vacuum is a family of kinematically defined quantum states whose thermal properties are well-understood, but whose physical origin has remained an open question. In this paper, we provide a concrete dynamical realization for this vacuum, demonstrating that it is physically and operationally equivalent to the quantum state produced by an accelerating Carlitz-Willey (CW) mirror on future null infinity. The equivalence is established through a three-pronged proof, showing that…

DualPhys-GS: Dual Physically-Guided 3D Gaussian Splatting for Underwater Scene Reconstruction
Jiachen Li, Guangzhi Han, Jin Wan, Yuan Gao, Delong Han
https://arxiv.org/abs/2508.09610

DualPhys-GS: Dual Physically-Guided 3D Gaussian Splatting for Underwater Scene Reconstruction
In 3D reconstruction of underwater scenes, traditional methods based on atmospheric optical models cannot effectively deal with the selective attenuation of light wavelengths and the effect of suspended particle scattering, which are unique to the water medium, and lead to color distortion, geometric artifacts, and collapsing phenomena at long distances. We propose the DualPhys-GS framework to achieve high-quality underwater reconstruction through a dual-path optimization mechanism. Our approac…

Vocabuild: An Accessible Augmented Tangible Interface for Gamified Vocabulary Learning of Constructing Meaning
Siying Hu, Zhenhao Zhang
https://arxiv.org/abs/2509.11027 https://…

Vocabuild: An Accessible Augmented Tangible Interface for Gamified Vocabulary Learning of Constructing Meaning
Vocabulary acquisition in early education often relies on rote memorization and passive screen-based tools, which can fail to engage students kinesthetically and collaboratively. This paper introduces Vocabuild, an augmented tangible interface designed to transform vocabulary learning into an active, embodied, and playful experience. The system combines physical letter blocks with a projection-augmented surface. As children physically construct words with the blocks, the system provides real-ti…

An Improved Physically-Based Surface Triangulation Method
Lei Shangyu, Fan Wei, Ren Hui
https://arxiv.org/abs/2508.05099 https://arxiv.org/pdf/2508.05099…

An Improved Physically-Based Surface Triangulation Method
This paper proposes improvements to the physically-based surface triangulation method, bubble meshing. The method simulates physical bubbles to automatically generate mesh vertices, resulting in high-quality Delaunay triangles. Despite its flexibility in local mesh size control and the advantage of local re-meshing, bubble meshing is constrained by high computational costs and slow convergence on complex surfaces. The proposed approach employs conformal mapping to simplify surface bubble packin…

Raiders place DT Christian Wilkins on PUP list as he still recovers from broken foot https://www.thestar.com/sports/football/raiders-place-dt-christian-wilkins-on-pup-list…

Lions DT Onwuzurike to miss at least 1st 4 games https://www.espn.com/nfl/story/_/id/45765508/lions-onwuzurike-reserve-pup-miss-least-1st-4-games

I have a nice Anker power bank with a built-in USB-C cable strong enough to hold it by.
But recently they recalled it and offered to send a replacement. I just unboxed the replacement… and it’s a different model. One which is physically larger and has no built-in cable. Same capacity, higher wattage, but not what I want.
In fact the original model is no longer sold (at that capacity). I didn’t realize they’d recalled all of them…
Oh well. I imagine they’ll bring them b…

Characterization of low-lying isomers in odd-odd 162Lu
N Susshma, S Deepa, K Vijay Sai, R Gowrishankar
https://arxiv.org/abs/2508.11251 https://arxiv.org/p…

Characterization of low-lying isomers in odd-odd 162Lu
The well-tested empirical two quasiparticle rotor model calculations are used to characterize low-lying isomers in the odd-odd nucleus $^{162}$Lu. Physically admissible 2qp bandheads are obtained to construct the low-energy level structure of the nucleus, assign spin-parity (J$^π$), orbital configuration, and level energies (E$_x$), for the gs and the two reported isomers. The spin-parity and orbital configuration of the 1.5 min isomer are confirmed to be J$^π$= 4$^-$\{$π$5/2$^+$[402$\uparro…

Radiative Transfer Modeling of Stripped-Envelope Supernovae. I: A Grid for Ejecta Parameter Inference
S. Karthik Yadavalli (Center for Astrophysics | Harvard and Smithsonian), V. Ashley Villar (Center for Astrophysics | Harvard and Smithsonian, The NSF AI Institute for Artificial Intelligence and Fundamental Interactions), Abigail Polin (Department of Physics and Astronomy, Purdue University), S. E. Woosley (Department of Astronomy and Astrophysics, University of California, Santa Cruz…

Radiative Transfer Modeling of Stripped-Envelope Supernovae. I: A Grid for Ejecta Parameter Inference
We present 1,800 multiwavelength Type Ib/c supernovae light curve models obtained by running the radiation transport code Sedona and varying the mass distribution, velocity profile, and abundance ejecta profiles of helium star progenitors. To create a flexible but physically-informed grid, we use autoencoders to construct a representation of ejecta profiles derived from stellar evolution models. We present simulated nearest-neighbor multiband light curves matches to SN 1994I, SN 2007gr, and iPT…

Relativistic compact stars coupled with dark energy in Heintzmann spacetime
Susmita Sarkar, Nayan Sarkar
https://arxiv.org/abs/2508.10930 https://arxiv.org…

Relativistic compact stars coupled with dark energy in Heintzmann spacetime
The literature suggests that dark energy is responsible for the accelerating expansion of the universe due to its negative pressure, therefore, dark energy can be used as a possible option to prevent the gravitational collapse of compact objects into singularities. In this regard, there is a great possibility that dark energy can interact with the compact stellar matter configuration [Phys. Rev. D 103, 084042 (2021)]. In this article, we introduce a physically viable model for celestial compact…

CHEX-MATE: Cluster Multi-Probes in Three Dimensions (CLUMP-3D) II. Combined Gas and Dark Matter Analysis from X-ray, SZE, and WL
Adriana Gavidia, Junhan Kim, Jack Sayers, Mauro Sereno, Loris Chappuis, Dominique Eckert, Keiichi Umetsu, Herve Bourdin, Federico De Luca, Stefano Ettori, Massimo Gaspari, Raphael Gavazzi, Scott Kay, Lorenzo Lovisari, Pasquale Mazzotta, Gabriel Pratt, Elena Rasia, Mariachiara Rossetti

CHEX-MATE: Cluster Multi-Probes in Three Dimensions (CLUMP-3D) II. Combined Gas and Dark Matter Analysis from X-ray, SZE, and WL
Under the standard model of hierarchical structure formation, the overall geometry of galaxy clusters is better described by a triaxial ellipse than a sphere. As a result, applying spherically-symmetric models can result in significant biases. These biases can be mitigated by fitting a triaxial model, requiring deep multiprobe data and a set of physically motivated models to describe them. Here we present a multiprobe triaxial analysis methodology based on the data available for galaxy clusters…

Reconstructing High-fidelity Plasma Turbulence with Data-driven Tuning of Diffusion in Low Resolution Grids
Kunpeng Li, Youngwoo Cho, Xavier Garbet, Chenguang Wan, Robin Varennes, Kyungtak Lim, Virginie Grandgirard, Zhisong Qu, Ong Yew Soon
https://arxiv.org/abs/2509.11576

Reconstructing High-fidelity Plasma Turbulence with Data-driven Tuning of Diffusion in Low Resolution Grids
Developing physically consistent closure models is a longstanding challenge in simulating plasma turbulence, even in minimal systems such as the two-field Hasegawa-Wakatani (HW) model, which captures essential features of drift-wave turbulence with a reduced set of variables. In this work, we leverage theoretical insights from Direct Interaction Approximation (DIA) to construct a six-term closure structure that captures the dominant turbulent transport processes, including both diffusion and hy…

Just bought a Trion T20 BGA256 devkit as my intro to the Efinix FPGA ecosystem. Who knows when I'll have time to play with it, but it's something I will physically possess and it's a lot cheaper than the Titanium board full of SERDES that I will be getting down the road if this works out well.

#FotoVorschlag 'Stressabbau' 'stress relief'
Well, definitely! I'm so grateful that I have hiking and cycling for stress relief. Especially hiking in the mountains when I'm just so physically exhausted that I can't think about my daily problems any more. Plus the overwhelming visual impressions.
To me, this kind of sports isn't a hobby any more. …

Crosslisted article(s) found for cs.CC. https://arxiv.org/list/cs.CC/new
[1/1]:
- Nearly optimal algorithms to learn sparse quantum Hamiltonians in physically motivated distances
Abbas, Cerrato, Guti\'errez, Grinko, Mele, Sinha

The 3D index and Dehn filling
Daniele Celoria, Craig D. Hodgson, J. Hyam Rubinstein
https://arxiv.org/abs/2509.09886 https://arxiv.org/pdf/2509.09886

The 3D index and Dehn filling
We provide a rigorous proof of the Gang-Yonekura formula describing the transformation of the 3D index under Dehn filling a cusp in an orientable 3-manifold. The 3D index, originally introduced by Dimofte, Gaiotto and Gukov, is a physically inspired q-series that encodes deep topological and geometric information about cusped 3-manifolds. Building on the interpretation of the 3D index as a generating function over Q-normal surfaces, we introduce a relative version of the index for ideal triangu…

Physically Interpretable Descriptors Drive the Materials Design of Metal Hydrides for Hydrogen Storage
Seong-Hoon Jang, Di Zhang, Hung Ba Tran, Xue Jia, Kiyoe Konno, Ryuhei Sato, Shin-ichi Orimo, and Hao Li
https://arxiv.org/abs/2509.04039

Physically Interpretable Descriptors Drive the Materials Design of Metal Hydrides for Hydrogen Storage
Designing metal hydrides for hydrogen storage remains a longstanding challenge due to the vast compositional space and complex structure-property relationships. Herein, for the first time, we present physically interpretable models for predicting two key performance metrics, gravimetric hydrogen density $w$ and equilibrium pressure $P_{\rm eq,RT}$ at room temperature, based on a minimal set of chemically meaningful descriptors. Using a rigorously curated dataset of $5,089$ metal hydride composi…

Statistics of Base Polytopes in F-theory
Washington Taylor, Yi-Nan Wang, Yihang Yu
https://arxiv.org/abs/2509.13252 https://arxiv.org/pdf/2509.13252…

Statistics of Base Polytopes in F-theory
We propose a new statistical ensemble of toric bases for elliptic Calabi-Yaus used in F-theory models, by focusing on only the convex hull of the base, i.e., the base polytope. This physically motivated coarse-graining greatly simplifies the combinatorial complexity of the part of the 4D F-theory landscape with toric bases. We develop a Monte Carlo approach that randomly samples the base polytopes within fixed boxes, with proper statistical weights. We first apply the algorithm to the set of 2d…

Seahawks' Nwosu passes physical, nearing return https://www.espn.com/nfl/story/_/id/46002985/seahawks-uchenna-nwosu-passes-physical-nearing-return

Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
Yeming Xian, Xiaoming Wang, Yanfa Yan
https://arxiv.org/abs/2507.12404

Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
Understanding and predicting the activity of oxide perovskite catalysts for the oxygen evolution reaction (OER) requires descriptors that are both accurate and physically interpretable. While symbolic regression (SR) offers a path to discover such formulas, its performance degrades with high-dimensional inputs and small datasets. We present a two-phase framework that combines neural networks (NN), feature importance analysis, and symbolic regression (SR) to discover interpretable descriptors fo…

ScoreHOI: Physically Plausible Reconstruction of Human-Object Interaction via Score-Guided Diffusion
Ao Li, Jinpeng Liu, Yixuan Zhu, Yansong Tang
https://arxiv.org/abs/2509.07920

ScoreHOI: Physically Plausible Reconstruction of Human-Object Interaction via Score-Guided Diffusion
Joint reconstruction of human-object interaction marks a significant milestone in comprehending the intricate interrelations between humans and their surrounding environment. Nevertheless, previous optimization methods often struggle to achieve physically plausible reconstruction results due to the lack of prior knowledge about human-object interactions. In this paper, we introduce ScoreHOI, an effective diffusion-based optimizer that introduces diffusion priors for the precise recovery of huma…

TransforMARS: Fault-Tolerant Self-Reconfiguration for Arbitrarily Shaped Modular Aerial Robot Systems
Rui Huang, Zhiyu Gao, Siyu Tang, Jialin Zhang, Lei He, Ziqian Zhang, Lin Zhao
https://arxiv.org/abs/2509.14025

TransforMARS: Fault-Tolerant Self-Reconfiguration for Arbitrarily Shaped Modular Aerial Robot Systems
Modular Aerial Robot Systems (MARS) consist of multiple drone modules that are physically bound together to form a single structure for flight. Exploiting structural redundancy, MARS can be reconfigured into different formations to mitigate unit or rotor failures and maintain stable flight. Prior work on MARS self-reconfiguration has solely focused on maximizing controllability margins to tolerate a single rotor or unit fault for rectangular-shaped MARS. We propose TransforMARS, a general fault…

'Have I Got News For You' has uncovered some utterly stupid MAGA people & it's so bad, Jasmine Crockett looks to be physically in PAIN on the panel...
▶️ How Will The Government Kill You? Rep. Crockett's Take On Marjorie Taylor Greene
https://youtube.com/watch?v=2Hb-DVQ1x0

Probabilities in Toy Regge models with odderons
M. A. Braun
https://arxiv.org/abs/2509.12819 https://arxiv.org/pdf/2509.12819

Probabilities in Toy Regge models with odderons
The possibi;lity of a probabilistic interpretation is studied for the Regge-Gribov model in zero dimensional transverse world ("Toy") with interacting pomerons and odderons. It is found that the previously proposed recipe to introduce such interpretation in the model without odderons, does not work once odderons are included. Starting from the physically reasonable probabilites it leads to a pathological field theory violating $C$-parity invariance. Inversely, starting from an admissible field …

SuperSNN: A Hardware-Aware Framework for Physically Realizable, High-Performance Superconducting Spiking Neural Network Chips
Changxu Song, Arda Caliskan, Beyza Zeynep Ucpinar, Yasemin Kopur, Mustafa Altay Karamuftuoglu, Sasan Razmkhah, Shahin Nazarian, Massoud Pedram
https://arxiv.org/abs/2509.05532…

SuperSNN: A Hardware-Aware Framework for Physically Realizable, High-Performance Superconducting Spiking Neural Network Chips
Despite numerous proposed designs for superconducting neural networks (SNNs), most have overlooked practical fabrication constraints, leading to implementations limited to only a few neurons or synapses. Current superconducting technologies, such as MIT LL SFQ5ee, impose severe limitations on chip area, routing, and input/output pin counts (e.g., 5x5 mm^2 chip with 40 pins), drastically restricting network size and complexity. These hardware constraints necessitate a comprehensive framework to …

Gravity-mediated entanglement via infinite-dimensional systems
Stefan L. Ludescher, Leon D. Loveridge, Thomas D. Galley, Markus P. M\"uller
https://arxiv.org/abs/2507.13201

Gravity-mediated entanglement via infinite-dimensional systems
There has been a wave of recent interest in detecting the quantum nature of gravity with table-top experiments that witness gravitationally mediated entanglement. Central to these proposals is the assumption that any mediator capable of generating entanglement must itself be nonclassical. However, previous arguments for this have modelled classical mediators as finite, discrete systems such as bits, which excludes physically relevant continuous and infinite-dimensional systems such as those of …

SonicRadiation: A Hybrid Numerical Solution for Sound Radiation without Ghost Cells
Xutong Jin, Guoping Wang, Sheng Li
https://arxiv.org/abs/2508.08775 https://

SonicRadiation: A Hybrid Numerical Solution for Sound Radiation without Ghost Cells
Interactive synthesis of physical sound effects is crucial in digital media production. Sound radiation simulation, a key component of physically based sound synthesis, has posed challenges in the context of complex object boundaries. Previous methods, such as ghost cell-based finite-difference time-domain (FDTD) wave solver, have struggled to address these challenges, leading to large errors and failures in complex boundaries because of the limitation of ghost cells. We present SonicRadiation,…

Butterfly Stomper. A type of Blue Meenie. All Meanies HATE music.
Please report any sightings to local Mastodon Master. Thank you.
#SpeakTruthToBeauty #Music

Existence and Uniqueness of Physically Correct Hydraulic States in Water Distribution Systems -- A theoretical analysis on the solvability of non-linear systems of equations in the context of water distribution systems
Janine Strotherm, Julian Rolfes, Barbara Hammer
https://arxiv.org/abs/2506.17270…

Existence and Uniqueness of Physically Correct Hydraulic States in Water Distribution Systems -- A theoretical analysis on the solvability of non-linear systems of equations in the context of water distribution systems
Planning and extension of water distribution systems (WDSs) plays a key role in the development of smart cities, driven by challenges such as urbanization and climate change. In this context, the correct estimation of physically correct hydraulic states, i.e., pressure heads, water demands and water flows, is of high interest. Hydraulic emulators such as EPANET or more recently, physic-informed surrogate models are used to solve this task. They require a subset of observed states, such as heads…

I’m #ActuallyAutistic, and right now, I’m calculating whether I should watch this Twitch VOD or keep listeing to my special interest.
This decision-making process is overwhelming and making me feel physically uncomfortable and anxious.
#Autism is fun!

Investigating Sensors and Methods in Grasp State Classification in Agricultural Manipulation
Benjamin Walt, Jordan Westphal, Girish Krishnan
https://arxiv.org/abs/2508.11588 htt…

Investigating Sensors and Methods in Grasp State Classification in Agricultural Manipulation
Effective and efficient agricultural manipulation and harvesting depend on accurately understanding the current state of the grasp. The agricultural environment presents unique challenges due to its complexity, clutter, and occlusion. Additionally, fruit is physically attached to the plant, requiring precise separation during harvesting. Selecting appropriate sensors and modeling techniques is critical for obtaining reliable feedback and correctly identifying grasp states. This work investigate…

A Modular PyTheus Quantum Network Interpreter: Automated Analysis and Visualization of Optimized Quantum Architectures
S. K. Rithvik
https://arxiv.org/abs/2507.12997

A Modular PyTheus Quantum Network Interpreter: Automated Analysis and Visualization of Optimized Quantum Architectures
We present a modular interpreter for PyTheus-optimized quantum networks that automatically analyzes and visualizes complex quantum architectures discovered through automated optimization. The interpreter addresses the critical challenge of understanding machine-designed quantum networks by providing robust algorithms for functional role identification, graph-theoretical analysis, and physically meaningful visualization across the major classes of PyTheus-generated networks. Our interpreter acce…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/4]:
- Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving
Ahmed Abouelazm, Mianzhi Liu, Christian Hubschneider, Yin Wu, Daniel Slieter, J. Marius Z\"ollner

Versus: Raiders' young defenders tasked with their toughest matchups to date https://www.raiders.com/news/versus-kyu-blu-kelly-to-be-tasked-with-his-toughest-matchup-to-date-commanders-week-3

Modeling Long-Wavelength Amorphous Dust Emission Based on the Physically Motivated Soft-Potential Model
Masashi Nashimoto
https://arxiv.org/abs/2509.09203 https://

Modeling Long-Wavelength Amorphous Dust Emission Based on the Physically Motivated Soft-Potential Model
We propose a new amorphous dust emission model based on the soft-potential (SP) model, applicable in the long-wavelength range from the far-infrared to the microwave. The SP model is widely accepted in material physics to explain amorphous thermal properties and is an extension of the two-level systems (TLS) model, which has been applied in interstellar amorphous dust physics. In the SP model, by assuming that some atoms composing amorphous dust are trapped in a double-well potential (DWP) desc…

Physically Controllable Relighting of Photographs
Chris Careaga, Ya\u{g}{\i}z Aksoy
https://arxiv.org/abs/2508.05626 https://arxiv.org/pdf/2508.05626

Physically Controllable Relighting of Photographs
We present a self-supervised approach to in-the-wild image relighting that enables fully controllable, physically based illumination editing. We achieve this by combining the physical accuracy of traditional rendering with the photorealistic appearance made possible by neural rendering. Our pipeline works by inferring a colored mesh representation of a given scene using monocular estimates of geometry and intrinsic components. This representation allows users to define their desired illuminatio…

Among the vast number of characters in the Chinese language
— around 100,000, by some estimates
— there are hundreds that no one alive knows how to pronounce.
They are written down, plain as day, in old books, but their sounds, even their meanings, have been lost.
Sitting in his office, wondering at how something seemingly immortalized in print could be forgotten, Dr. Mullaney went down a mental rabbit hole.
It would have been physically impossible to build a t…

A Professor’s Search for the MingKwai, a Lost Chinese Typewriter
A historian went down an 18-year rabbit hole in search of obsolete machines. But there was one he thought he’d never find.

Effects of rough boundary and nonzero boundary conditions on the lubrication process with micropolar fluid
Matthieu Bonnivard, Igor Pazanin, Francisco Suarez-Grau
https://arxiv.org/abs/2507.11318

Effects of rough boundary and nonzero boundary conditions on the lubrication process with micropolar fluid
The lubrication theory is mostly concerned with the behavior of a lubricant flowing through a narrow gap. Motivated by the experimental findings from the tribology literature, we take the lubricant to be micropolar fluid and study its behavior in a thin domain with rough boundary. Instead of considering (commonly used) simple zero boundary condition, we impose physically relevant (nonzero) boundary condition for microrotation and perform asymptotic analysis of the corresponding 3D boundary valu…

PunchPulse: A Physically Demanding Virtual Reality Boxing Game Designed with, for and by Blind and Low-Vision Players
Sanchita S. Kamath, Omar Khan, Anurag Choudhary, Jan Meyerhoff-Liang, Soyoung Choi, JooYoung Seo
https://arxiv.org/abs/2508.02610

PunchPulse: A Physically Demanding Virtual Reality Boxing Game Designed with, for and by Blind and Low-Vision Players
Blind and low-vision (BLV) individuals experience lower levels of physical activity (PA) compared to sighted peers due to a lack of accessible, engaging exercise options. Existing solutions often rely on auditory cues but do not fully integrate rich sensory feedback or support spatial navigation, limiting their effectiveness. This study introduces PunchPulse, a virtual reality (VR) boxing exergame designed to motivate BLV users to reach and sustain moderate to vigorous physical activity (MVPA) …

CMB Constraints on Quantized Spatial Curvature $\Omega_K$ in globally CPT-symmetric universes
Wei-Ning Deng, Will Handley
https://arxiv.org/abs/2509.10379 https://

CMB Constraints on Quantized Spatial Curvature $Ω_K$ in globally CPT-symmetric universes
The periodic solution of the Friedmann equation in conformal time, implies that only cosmological perturbations exhibiting corresponding symmetries are physically permissible, leading to a discrete spectrum of allowed wave vectors. Furthermore, in a spatially closed universe, these wave vectors are independently constrained to be integers. Matching these two distinct quantization conditions provides a novel theoretical constraint on the possible values of spatial curvature. In this work, we num…

Martian World Models: Controllable Video Synthesis with Physically Accurate 3D Reconstructions
Longfei Li, Zhiwen Fan, Wenyan Cong, Xinhang Liu, Yuyang Yin, Matt Foutter, Panwang Pan, Chenyu You, Yue Wang, Zhangyang Wang, Yao Zhao, Marco Pavone, Yunchao Wei
https://arxiv.org/abs/2507.07978…

Martian World Models: Controllable Video Synthesis with Physically Accurate 3D Reconstructions
Synthesizing realistic Martian landscape videos is crucial for mission rehearsal and robotic simulation. However, this task poses unique challenges due to the scarcity of high-quality Martian data and the significant domain gap between Martian and terrestrial imagery. To address these challenges, we propose a holistic solution composed of two key components: 1) A data curation pipeline Multimodal Mars Synthesis (M3arsSynth), which reconstructs 3D Martian environments from real stereo navigation…

On the Poisson brackets of hybrid plasma models with kinetic ions and massless electrons
Yingzhe Li, Philip J. Morrison, Stefan Possanner, Eric Sonnendr\"ucker
https://arxiv.org/abs/2509.11160

On the Poisson brackets of hybrid plasma models with kinetic ions and massless electrons
We investigate the conditions under which the Jacobi identity holds for a class of recently introduced anti-symmetric brackets for the hybrid plasma models with kinetic ions and massless electrons. In particular, we establish the precise conditions under which the brackets for the vector-potential-based formulations satisfy the Jacobi identity, and demonstrate that these conditions are fulfilled by all physically relevant functionals. Moreover, for the magnetic-field-based formulation, we show …

Commanders activate WR McLaurin off PUP list https://www.espn.com/nfl/story/_/id/45993504/commanders-activate-wr-terry-mclaurin-pup-list

Variational Rank Reduction Autoencoders for Generative
Alicia Tierz, Jad Mounayer, Beatriz Moya, Francisco Chinesta
https://arxiv.org/abs/2509.08515 https://

Variational Rank Reduction Autoencoders for Generative
Generative thermal design for complex geometries is fundamental in many areas of engineering, yet it faces two main challenges: the high computational cost of high-fidelity simulations and the limitations of conventional generative models. Approaches such as autoencoders (AEs) and variational autoencoders (VAEs) often produce unstructured latent spaces with discontinuities, which restricts their capacity to explore designs and generate physically consistent solutions. To address these limitat…

Towards Universal Quantum Tamper Detection
Anne Broadbent, Upendra Kapshikar, Denis Rochette
https://arxiv.org/abs/2509.12986 https://arxiv.org/pdf/2509.12…

Towards Universal Quantum Tamper Detection
Tamper-resilient cryptography studies how to protect data against adversaries who can physically manipulate codewords before they are decoded. The notion of tamper detection codes formalizes this goal, requiring that any unauthorized modification be detected with high probability. Classical results, starting from Jafargholi and Wichs (TCC 2015), established the existence of such codes against very large families of tampering functions, subject to structural restrictions ruling out identity and …

From spatial to null infinity: Connecting initial data to peeling
Berend Schneider, Neev Khera
https://arxiv.org/abs/2507.07977 https://

From spatial to null infinity: Connecting initial data to peeling
The asymptotic structure of space-time is studied by imposing conditions on the asymptotics of the metric. These conditions are weak enough to include large classes of physically relevant isolated space-times, but have a rich enough structure to be able to define important physically meaningful quantities like mass, angular momentum, and gravitational waves. By using a unified expansion of the metric in a neighborhood of spatial infinity that includes a piece of null infinity, we connect the …

Commanders activate WR Terry McLaurin (ankle) off PUP list https://www.nfl.com/news/commanders-activate-wr-terry-mclaurin-ankle-off-pup-list

Multi-centered Black Hole Quantum Mechanics and Generalized Error Functions
Boris Pioline, Rishi Raj
https://arxiv.org/abs/2507.08551 https://

Multi-centered Black Hole Quantum Mechanics and Generalized Error Functions
In type II Calabi-Yau string compactifications, S-duality predicts that suitable generating series of BPS indices counting micro-states of D4-D2-D0 black holes are in general mock modular forms of higher depth. The non-holomorphic contributions needed to cancel the anomaly under modular transformations involve certain indefinite theta series with kernels constructed from generalized error functions. Physically, these contributions are expected to arise from a spectral asymmetry in the continuum…

Comparison of Localization Algorithms between Reduced-Scale and Real-Sized Vehicles Using Visual and Inertial Sensors
Tobias Kern, Leon Tolksdorf, Christian Birkner
https://arxiv.org/abs/2507.11241

Comparison of Localization Algorithms between Reduced-Scale and Real-Sized Vehicles Using Visual and Inertial Sensors
Physically reduced-scale vehicles are emerging to accelerate the development of advanced automated driving functions. In this paper, we investigate the effects of scaling on self-localization accuracy with visual and visual-inertial algorithms using cameras and an inertial measurement unit (IMU). For this purpose, ROS2-compatible visual and visual-inertial algorithms are selected, and datasets are chosen as a baseline for real-sized vehicles. A test drive is conducted to record data of reduced-…

TexVerse: A Universe of 3D Objects with High-Resolution Textures
Yibo Zhang, Li Zhang, Rui Ma, Nan Cao
https://arxiv.org/abs/2508.10868 https://arxiv.org/p…

TexVerse: A Universe of 3D Objects with High-Resolution Textures
We introduce TexVerse, a large-scale 3D dataset featuring high-resolution textures. While recent advances in large-scale 3D datasets have enhanced high-resolution geometry generation, creating high-resolution textures end-to-end remains underexplored due to the lack of suitable datasets. TexVerse fills this gap with a curated collection of over 858K unique high-resolution 3D models sourced from Sketchfab, including more than 158K models with physically based rendering (PBR) materials. Each mode…

Long-time behavior of a nonlocal Cahn-Hilliard equation with nonlocal dynamic boundary condition and singular potentials
Maoyin Lv, Hao Wu
https://arxiv.org/abs/2509.10304 https…

Long-time behavior of a nonlocal Cahn-Hilliard equation with nonlocal dynamic boundary condition and singular potentials
We investigate the long-time behavior of a nonlocal Cahn--Hilliard equation in a bounded domain $Ω\subset\mathbb{R}^d$ $(d=2,3)$, subject to a kinetic rate dependent nonlocal dynamic boundary condition. The kinetic rate $1/L$, with $L\in[0,+\infty)$, distinguishes different types of bulk-surface interactions. When $L\in[0,+\infty)$, for a general class of singular potentials including the physically relevant logarithmic potential, we establish the existence of a global attractor $\mathcal{A}_m…

Simulating and Sampling from Quantum Circuits with 2D Tensor Networks
Manuel S. Rudolph, Joseph Tindall
https://arxiv.org/abs/2507.11424 https://

Simulating and Sampling from Quantum Circuits with 2D Tensor Networks
Classical simulations of quantum circuits play a vital role in the development of quantum computers and for taking the temperature of the field. Here, we classically simulate various physically-motivated circuits using 2D tensor network ansätze for the many-body wavefunction which match the geometry of the underlying quantum processor. We then employ a generalized version of the boundary Matrix Product State contraction algorithm to controllably generate samples from the resultant tensor netwo…

Stochastic Quantization of Electrodynamics and Linearized Gravity
Partha Nandi, Partha Ghose
https://arxiv.org/abs/2508.10190 https://arxiv.org/pdf/2508.10…

Stochastic Quantization of Electrodynamics and Linearized Gravity
We develop a unified stochastic framework in which a velocity- and helicity-reversing Poisson process gives rise to the Telegrapher's equation. Analytic continuation to the complex plane results in Dirac-like evolution equations for electromagnetic and linearized gravitational fields. A small but nonzero mass parameter is essential to enable helicity reversals. Yet, the correct massless wave equations are recovered as the physically relevant massless limit is approached smoothly, with the singu…

Ocean Diviner: A Diffusion-Augmented Reinforcement Learning for AUV Robust Control in the Underwater Tasks
Weiyi Liu, Jingzehua Xu, Guanwen Xie, Yi Li
https://arxiv.org/abs/2507.11283

Ocean Diviner: A Diffusion-Augmented Reinforcement Learning for AUV Robust Control in the Underwater Tasks
This paper presents a diffusion-augmented reinforcement learning (RL) approach for robust autonomous underwater vehicle (AUV) control, addressing key challenges in underwater trajectory planning and dynamic environment adaptation. The proposed method integrates three core innovations: (1) A diffusion-based trajectory generation framework that produces physically feasible multi-step trajectories, enhanced by a high-dimensional state encoding mechanism combining current observations with historic…

Geometric Neural Distance Fields for Learning Human Motion Priors
Zhengdi Yu, Simone Foti, Linguang Zhang, Amy Zhao, Cem Keskin, Stefanos Zafeiriou, Tolga Birdal
https://arxiv.org/abs/2509.09667

Geometric Neural Distance Fields for Learning Human Motion Priors
We introduce Neural Riemannian Motion Fields (NRMF), a novel 3D generative human motion prior that enables robust, temporally consistent, and physically plausible 3D motion recovery. Unlike existing VAE or diffusion-based methods, our higher-order motion prior explicitly models the human motion in the zero level set of a collection of neural distance fields (NDFs) corresponding to pose, transition (velocity), and acceleration dynamics. Our framework is rigorous in the sense that our NDFs are co…

Ndamukong Suh announces NFL retirement, honors late father in emotional farewell https://www.nytimes.com/athletic/6489892/2025/07/12/ndamukong-suh-retirement-nfl-lions/

Interference between non-overlapping waves
Alan C. Santos, Celso J. Villas-Boas
https://arxiv.org/abs/2508.10622 https://arxiv.org/pdf/2508.10622

Interference between non-overlapping waves
In classical mechanics and electromagnetism, interference occurs when two or more waves overlap at the same point in spacetime. However, the advent of quantum electrodynamics (QED) and its remarkable success in describing light-matter interactions at the microscopic level invites us to reconsider whether interference-like effects could arise even when the waves do not physically overlap. In this work, we extend the notion of wave interference to a novel and unconventional regime. Building upon …

LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans
Zhening Huang, Xiaoyang Wu, Fangcheng Zhong, Hengshuang Zhao, Matthias Nie{\ss}ner, Joan Lasenby
https://arxiv.org/abs/2507.02861

LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans
We propose LiteReality, a novel pipeline that converts RGB-D scans of indoor environments into compact, realistic, and interactive 3D virtual replicas. LiteReality not only reconstructs scenes that visually resemble reality but also supports key features essential for graphics pipelines -- such as object individuality, articulation, high-quality physically based rendering materials, and physically based interaction. At its core, LiteReality first performs scene understanding and parses the resu…

Routing Quantum Control of Causal Order
Maarten Grothus, Alastair A. Abbott, Augustin Vanrietvelde, Cyril Branciard
https://arxiv.org/abs/2507.08781 https:…

Routing Quantum Control of Causal Order
In recent years, various frameworks have been proposed for the study of quantum processes with indefinite causal order. In particular, quantum circuits with quantum control of causal order (QC-QCs) form a broad class of physical supermaps obtained from a bottom-up construction and are believed to represent all quantum processes physically realisable in a fixed spacetime. Complementarily, the formalism of routed quantum circuits introduces quantum operations constrained by "routes" to represent …

Jets CB Michael Carter II 'in a lot better place' after adverse 2024, eager to play for Aaron Glenn https://www.nfl.com/news/jets-cb-michael-carter-ii-in-a-lot-better-place-after-adverse-2024-eager-to-play-for-aaron-…

SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
David Stotko, Reinhard Klein
https://arxiv.org/abs/2509.08828 ht…

SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
The reconstruction of three-dimensional dynamic scenes is a well-established yet challenging task within the domain of computer vision. In this paper, we propose a novel approach that combines the domains of 3D geometry reconstruction and appearance estimation for physically based rendering and present a system that is able to perform both tasks for fabrics, utilizing only a single monocular RGB video sequence as input. In order to obtain realistic and high-quality deformations and renderings, …

SimGenHOI: Physically Realistic Whole-Body Humanoid-Object Interaction via Generative Modeling and Reinforcement Learning
Yuhang Lin, Yijia Xie, Jiahong Xie, Yuehao Huang, Ruoyu Wang, Jiajun Lv, Yukai Ma, Xingxing Zuo
https://arxiv.org/abs/2508.14120

SimGenHOI: Physically Realistic Whole-Body Humanoid-Object Interaction via Generative Modeling and Reinforcement Learning
Generating physically realistic humanoid-object interactions (HOI) is a fundamental challenge in robotics. Existing HOI generation approaches, such as diffusion-based models, often suffer from artifacts such as implausible contacts, penetrations, and unrealistic whole-body actions, which hinder successful execution in physical environments. To address these challenges, we introduce SimGenHOI, a unified framework that combines the strengths of generative modeling and reinforcement learning to pr…

Finite-dimensional approximations of generalized squeezing
Sahel Ashhab, Felix Fischer, Davide Lonigro, Daniel Braak, Daniel Burgarth
https://arxiv.org/abs/2508.09041 https://…

Finite-dimensional approximations of generalized squeezing
We show unexpected behaviour in simulations of generalized squeezing performed with finite-dimensional truncations of the Fock space: even for extremely large dimension of the state space, the results depend on whether the truncation dimension is even or odd. This situation raises the question whether the simulation results are physically meaningful. We demonstrate that, in fact, the two truncation schemes correspond to two well-defined, distinct unitary evolutions whose generators are defined …

Buccaneers LT Tristan Wirfs undergoes knee surgery, likely to start 2025 season on PUP list https://www.nfl.com/news/buccaneers-lt-tristan-wirfs-undergoes-knee-surgery-likely-to-start-2025-season-on-pup-list