Tootfinder

For some reason the combination of 160K and my Mitutoyo 100x/0.90 objective means that as the last bits of ILD begin to etch away, substrate features become *less* visible.
I expected to see strong contrast at edges of substrate features when the ILD was etched away despite poly, STI trenches, and diffusion areas all being the same material (silicon).
But that's not what I'm seeing.
Going back to my archives, though, most of my good full die 100x shots are with the …

Find the best contrast between one color and a list of options, e.g. for labels in geom_tile: {prismatic::best_contrast()} https://emilhvitfeldt.github.io/prismatic/reference/best_contrast.html

Moody Urbanity - Manmade Confinements ⛑️
情绪化城市 - 人造禁锢 ⛑️
📷 Pentax MX
🎞️ Kentmere Pan 400
#filmphotography #Photography #blackandwhite

Report: at an xAI meeting, Elon Musk and his executives said the Grok chatbot has 64M monthly users; OpenAI said in August that ChatGPT had 700M weekly users (Theo Wayt/The Information)
https://www.theinformation.com/briefings/elon-musks-xai-says-gr…

Elon Musk’s xAI Says Grok Has 64 Million Monthly Users
Elon Musk’s xAI told staff this week that its Grok chatbot has 64 million monthly users, the New York Times reported on Thursday. By contrast, OpenAI said in August that ChatGPT had hit 700 million weekly users, while Google CEO Sundar Pichai said in July that its Gemini app had 450 million monthly users. xAI also has a much smaller enterprise business than OpenAI or Google. Musk pushed

I’m old enough to remember `-ms-high-contrast-adjust: none;` to remove the backplate that Edge added in 2016 (pre-Chromiedge).
Not surprised its `forced-colors` version is frustrating authors:
“forced-color-adjust: none is an unavoidable foot gun”
https://sarahmhigley.com/writing/force

forced-color-adjust: none is an unavoidable foot gun | Sarah Higley
A very long treatise on why text backplates were a bad idea. Most of the time.

Accuracy of propagation-based phase-contrast CT under the projection approximation
Giavanna Jadick, Patrick La Rivi\`ere
https://arxiv.org/abs/2508.12505 https://

Accuracy of propagation-based phase-contrast CT under the projection approximation
X-ray phase-contrast imaging has the potential to improve image contrast with lower dose by probing an object's refractive properties as well as its absorptive properties. To reconstruct a phase-contrast image from a raw dataset, a phase retrieval algorithm must be applied to invert the forward model of the image acquisition scheme. Discrete forward modeling presents unique computational challenges due to high x-ray wave field sampling requirements. At the cost of accuracy, approximations are o…

Generative AI Pipeline for Interactive Prompt-driven 2D-to-3D Vascular Reconstruction for Fontan Geometries from Contrast-Enhanced X-Ray Fluoroscopy Imaging
Prahlad G Menon
https://arxiv.org/abs/2509.13372

Generative AI Pipeline for Interactive Prompt-driven 2D-to-3D Vascular Reconstruction for Fontan Geometries from Contrast-Enhanced X-Ray Fluoroscopy Imaging
Fontan palliation for univentricular congenital heart disease progresses to hemodynamic failure with complex flow patterns poorly characterized by conventional 2D imaging. Current assessment relies on fluoroscopic angiography, providing limited 3D geometric information essential for computational fluid dynamics (CFD) analysis and surgical planning. A multi-step AI pipeline was developed utilizing Google's Gemini 2.5 Flash (2.5B parameters) for systematic, iterative processing of fluoroscopic …

Whichdom is much stronger than Whizdom.
Compare and contrast.

4DNeX: Feed-Forward 4D Generative Modeling Made Easy
Zhaoxi Chen, Tianqi Liu, Long Zhuo, Jiawei Ren, Zeng Tao, He Zhu, Fangzhou Hong, Liang Pan, Ziwei Liu
https://arxiv.org/abs/2508.13154

4DNeX: Feed-Forward 4D Generative Modeling Made Easy
We present 4DNeX, the first feed-forward framework for generating 4D (i.e., dynamic 3D) scene representations from a single image. In contrast to existing methods that rely on computationally intensive optimization or require multi-frame video inputs, 4DNeX enables efficient, end-to-end image-to-4D generation by fine-tuning a pretrained video diffusion model. Specifically, 1) to alleviate the scarcity of 4D data, we construct 4DNeX-10M, a large-scale dataset with high-quality 4D annotations gen…

[Social] Allostasis: Or, How I Learned To Stop Worrying and Love The Noise
Imran Khan
https://arxiv.org/abs/2508.12791 https://arxiv.org/pdf/2508.12791

[Social] Allostasis: Or, How I Learned To Stop Worrying and Love The Noise
The notion of homeostasis typically conceptualises biological and artificial systems as maintaining stability by resisting deviations caused by environmental and social perturbations. In contrast, (social) allostasis proposes that these systems can proactively leverage these very perturbations to reconfigure their regulatory parameters in anticipation of environmental demands, aligning with von Foerster's ``order through noise'' principle. This paper formulates a computational model of allostat…

TopoSizing: An LLM-aided Framework of Topology-based Understanding and Sizing for AMS Circuits
Ziming Wei, Zichen Kong, Yuan Wang, David Z. Pan, Xiyuan Tang
https://arxiv.org/abs/2509.14169

TopoSizing: An LLM-aided Framework of Topology-based Understanding and Sizing for AMS Circuits
Analog and mixed-signal circuit design remains challenging due to the shortage of high-quality data and the difficulty of embedding domain knowledge into automated flows. Traditional black-box optimization achieves sampling efficiency but lacks circuit understanding, which often causes evaluations to be wasted in low-value regions of the design space. In contrast, learning-based methods embed structural knowledge but are case-specific and costly to retrain. Recent attempts with large language m…

Imaging of electrical signals in a quantum SiC microscope
A. Suhana, T. A. U. Svetikova, C. Schneider, M. Helm, A. N. Anisimov, G. V. Astakhov
https://arxiv.org/abs/2509.14888 h…

Imaging of electrical signals in a quantum SiC microscope
We report the experimental realization of a quantum silicon carbide microscope (QSiCM) and demonstrate its functionality by imaging magnetic fields generated by electrical currents. We employ a dual-frequency sensing protocol to enhance the readout contrast and suppress noise arising from strain and temperature fluctuations. This approach enables spatial imaging of current-induced magnetic fields with a field of view of $50 \times 50 $ virtual pixels, temporal resolution of $50\,\mathrm{ms}$, s…

Towards Fully Onboard State Estimation and Trajectory Tracking for UAVs with Suspended Payloads
Martin Jirou\v{s}ek, Tom\'a\v{s} B\'a\v{c}a, Martin Saska
https://arxiv.org/abs/2508.11547

Towards Fully Onboard State Estimation and Trajectory Tracking for UAVs with Suspended Payloads
This paper addresses the problem of tracking the position of a cable-suspended payload carried by an unmanned aerial vehicle, with a focus on real-world deployment and minimal hardware requirements. In contrast to many existing approaches that rely on motion-capture systems, additional onboard cameras, or instrumented payloads, we propose a framework that uses only standard onboard sensors--specifically, real-time kinematic global navigation satellite system measurements and data from the onboa…

Quelle surprise: seriöse Webseiten blocken den Zugang für KI-Trainingszugriff eher als Seiten, deren Zweck der Desinformation dient.
https://arxiv.org/abs/2510.10315

PIC12F683 poly/substrate with some residual contacts (some floated away, some sitting at random positions, some still firmly attached) but almost all oxide etched.
Doing the whole die at this state, then will probably do a clean to get all the loose contacts and debris off, another imaging pass.
Then I'm not sure if it's worth the effort to try for a clean substrate image given the poor contrast I'm seeing, vs just calling this the final form. We'll see what happe…

@…
I'm using the Beta 7 version on my iPhone. I tapped the translate button on a post and got four quick vibrations plus this white on red popup. My lousy vision couldn't begin to guess what it said.
Please make your error messages simple and high-contrast, in the user-selected dark/light mode!

Whil I'm editing photos from our vacation I quickly share this from last year for #WaterfallWednesday .
Enjoy!
#photography #nature

Coherently enhanced decoherence and cloud substructure of atom interferometers
Clara Murgui, Ryan Plestid
https://arxiv.org/abs/2509.13417 https://arxiv.or…

Coherently enhanced decoherence and cloud substructure of atom interferometers
We study how coherent scattering of a background gas off an atom (or other matter) interferometer can lead to enhanced signals from phase shifts and contrast loss. We focus on the inclusion of realistic features of atom interferometers such as finite temperature, cloud substructure, and time-dependent cloud radii. The inclusion of these effects, extending beyond the previously considered point-like cloud approximation, naturally allow us to study the smooth transition between the coherent and i…

Direct Imaging Explorations for Companions from the Subaru/IRD Strategic Program II; Discovery of a Brown-dwarf Companion around a Nearby mid-M~dwarf LSPM~J1446 4633
Taichi Uyama, Masayuki Kuzuhara, Charles Beichman, Teruyuki Hirano, Takayuki Kotani, Qier An, Timothy D. Brandt, Markus Janson, Dimitri Mawet, Mayuko Mori, Bun'Ei Sato, Denitza Stoeva, Motohide Tamura, Masataka Aizawa, Bryson Cale, Thomas Henning, Hiroyuki Tako Ishikawa, Norio Narita, Masahiro Ogihara, Aniket Sanghi, T…

Direct Imaging Explorations for Companions from the Subaru/IRD Strategic Program II; Discovery of a Brown-dwarf Companion around a Nearby mid-M~dwarf LSPM~J1446+4633
We report the discovery of a new directly-imaged brown dwarf companion with Keck/NIRC2+pyWFS around a nearby mid-type M~dwarf LSPM~J1446+4633 (hereafter J1446). The $L'$-band contrast ($4.5\times10^{-3}$) is consistent with a $\sim20-60\ M_{\rm Jup}$ object at 1--10~Gyr and our two-epoch NIRC2 data suggest a $\sim30\%$ ($\sim3.1σ)$ variability in its $L'$-band flux. We incorporated Gaia DR3 non-single-star catalog into the orbital fitting by combining the Subaru/IRD RV monitoring results, NIRC…

Isotopy versus equivariant isotopy in dimensions three and higher
Trent Lucas
https://arxiv.org/abs/2508.11104 https://arxiv.org/pdf/2508.11104

Isotopy versus equivariant isotopy in dimensions three and higher
Given a finite group action on a smooth manifold, we study the following question: if two equivariant diffeomorphisms are isotopic, must they be equivariantly isotopic? Birman-Hilden and Maclachlan-Harvey proved the answer is "yes" for most surfaces. By contrast, we give a general criterion in higher dimensions under which there are many equivariant diffeomorphisms which are isotopic but not equivariantly isotopic. Examples satisfying this criterion include branched covers of split links and "s…

Hybrid Table-Assisted and RL-Based Dynamic Routing for NGSO Satellite Networks
Flor Ortiz, Eva Lagunas
https://arxiv.org/abs/2509.14909 https://arxiv.org/p…

Hybrid Table-Assisted and RL-Based Dynamic Routing for NGSO Satellite Networks
This letter investigates dynamic routing in Next-Generation Satellite Orbit (NGSO) constellations and proposes a hybrid strategy that combines precomputed routing tables with a Deep Q-Learning (DQL) fallback mechanism. While fully RL-based schemes offer adaptability to topology dynamics, they often suffer from high complexity, long convergence times, and unstable performance under heavy traffic. In contrast, the proposed framework exploits deterministic table lookups under nominal conditions an…

Homogenization of the scattered wave and scattering resonances for periodic high-contrast subwavelength resonators
Yuxin Du, Xin Fu, Wenjia Jing
https://arxiv.org/abs/2510.11972

Homogenization of the scattered wave and scattering resonances for periodic high-contrast subwavelength resonators
We study time-harmonic scattering by a periodic array of penetrable, high-contrast obstacles with small period, confined to a bounded Lipschitz domain. The strong contrast between the obstacles and the background induces subwavelength resonances. We derive a frequency-dependent effective model in the vanishing-period limit and prove quantitative convergence of the heterogeneous scattered wave to the effective scattered wave. We also identify the limiting set of scattering resonances and establi…

Exponential quintessence with momentum coupling to dark matter
Alkistis Pourtsidou
https://arxiv.org/abs/2509.15091 https://arxiv.org/pdf/2509.15091…

Exponential quintessence with momentum coupling to dark matter
We present updated constraints on an interacting dark energy - dark matter model with pure momentum transfer, where dark energy is in the form of a quintessence scalar field with an exponential potential. We run a suite of MCMC analyses using the DESI DR2 BAO measurements, in combination with CMB data from Planck and supernovae data from DESY5. In contrast to the standard case of uncoupled quintessence, we find that values for the potential's slope parameter $λ\geq \sqrt{2}$, which are conject…

Quantum vs Classical Thermal Transport at Low Temperatures
Zhixing Zou, Jiangbin Gong, Jiao Wang, Giulio Casati, Giuliano Benenti
https://arxiv.org/abs/2509.14027 https://

Quantum vs Classical Thermal Transport at Low Temperatures
This work aims to understand how quantum mechanics affects heat transport at low temperatures. In the classical setting, by considering a simple paradigmatic model, our simulations reveal the emergence of Negative Differential Thermal Resistance (NDTR): paradoxically, increasing the temperature bias by lowering the cold bath temperature reduces the steady-state heat current. In sharp contrast, the quantum version of the model, treated via a Lindblad master equation, exhibits no NDTR: the heat c…

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans
Chuyang Zhou, Ziao Ji, Daochang Liu, Dongang Wang, Chenyu Wang, Chang Xu
https://arxiv.org/abs/2509.13612 h…

Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans
Understanding how spontaneous brain activity relates to stimulus-driven neural responses is a fundamental challenge in cognitive neuroscience. While task-based functional magnetic resonance imaging (fMRI) captures localized stimulus-evoked brain activation, its acquisition is costly, time-consuming, and difficult to scale across populations. In contrast, resting-state fMRI (rs-fMRI) is task-free and abundant, but lacks direct interpretability. We introduce Rest2Visual, a conditional generative …

Discovery of H$\alpha$ Emission from a Protoplanet Candidate Around the Young Star 2MASS J16120668-3010270 with MagAO-X
Jialin Li, Laird M. Close, Feng Long, Jared R. Males, Sebastiaan Y. Haffert, Alycia Weinberger, Katherine Follette, Sean Andrews, John Carpenter, Warren B. Foster, Kyle Van Gorkom, Alexander D. Hedglen, Gregory J. Herczeg, Parker T. Johnson, Maggie Y. Kautz, Jay K. Kueny, Rixin Li, Joshua Liberman, Joseph D. Long, Jennifer Lumbres, Sebastian Marino, Luca Matr`a, Eden …

Discovery of H$α$ Emission from a Protoplanet Candidate Around the Young Star 2MASS J16120668-3010270 with MagAO-X
2MASS J16120668-3010270 (hereafter 2MJ1612) is a young M0 star that hosts a protoplanetary disk in the Upper Scorpious star-forming region. Recent ALMA observations of 2MJ1612 show a mildly inclined disk ($i$=37$^\circ$) with a large dust-depleted gap (R$_\text{cav}\approx$0.4" or 53 au). We present high-contrast H$α$ observations from MagAO-X on the 6.5m Magellan Telescope and new high resolution sub-mm dust continuum observations with ALMA of 2MJ1612. On both 2025 April 13 and 16, we recover…

Control of magnetic transition, metal-semiconductor transition, and magnetic anisotropy in noncentrosymmetric monolayer Cr$_2$Ge$_2$Se$_3$Te$_3$
Rui-Qi Wang, Tengfei Cao, Tian-Min Lei, Xie Zhang, Yue-Wen Fang
https://arxiv.org/abs/2508.11899

Control of magnetic transition, metal-semiconductor transition, and magnetic anisotropy in noncentrosymmetric monolayer Cr$_2$Ge$_2$Se$_3$Te$_3$
Recent advances in two-dimensional materials have greatly expanded the family of ferromagnetic materials. The well-known 2D ferromagnets, such as CrI$_3$, Cr$_2$Ge$_2$Te$_6$, and Fe$_3$GeTe$_2$ monolayers, are characterized by centrosymmetric crystal structures. In contrast, ferromagnetic ordering in 2D noncentrosymmetric materials remains an underexplored area. Here we report a Janus ferromagnet, Cr$_2$Ge$_2$Se$_3$Te$_3$ with inversion symmetry breaking, through first-principles calculations. …

On Zinbiel and Tortkara superalgebras
Sofiane Bouarroudj, Farukh Mashurov
https://arxiv.org/abs/2508.11382 https://arxiv.org/pdf/2508.11382

On Zinbiel and Tortkara superalgebras
In this paper, we study Zinbiel superalgebras and special Tortkara superalgebras, highlighting key differences between the super and the non-super setting. We present examples of Zinbiel superalgebras with Rota-Baxter operators and construct a basis for free Zinbiel superalgebras. Moreover, we establish a superalgebraic analogue of the Lie criterion for Zinbiel superalgebras. In contrast to the classical case, some homomorphic images of special Tortkara superalgebras on two generators are excep…

Granular focused jet
Kazuya U. Kobayashi, Pradipto, Yoshiyuki Tagawa
https://arxiv.org/abs/2508.11905 https://arxiv.org/pdf/2508.11905

Granular focused jet
We investigated the formation of granular focused jets defined as narrow upward ejections of grains triggered by impulsive forces and shaped by kinematic focusing on a concave free surface. The jets were generated from nonfluidized granular beds, in contrast to existing granular Worthington jets that originate from fluidized layers. To elucidate the jet dynamics, we performed experiments in which a test tube partially filled with dry glass beads was dropped onto a flat rigid floor, systematical…

Tilted Material in an Optical Cavity: Light-Matter Moir\'e Effect and Coherent Frequency Conversion
Arshath Manjalingal, Saeed Rahmanian Koshkaki, Logan Blackham, Arkajit Mandal
https://arxiv.org/abs/2508.11237

Tilted Material in an Optical Cavity: Light-Matter Moiré Effect and Coherent Frequency Conversion
Exciton-polaritons formed inside optical cavities offer a highly tunable platform for exploring novel quantum phenomena. Here, we introduce and theoretically characterize a light-matter moiré effect (LMME) that arises when a 2D material is tilted inside a planar optical cavity, in contrast to stacking multiple layers at a twist angle as is done in forming 2D moiré hetero-structures. We show that this geometric tilt produces emergent periodicity in the light-matter coupling, yielding displaced…

Bridging the Gap between Collisional and Collisionless Plasma Shocks: A Simulation Study using OSIRIS
Yossef Nissim Kindi, Asaf Pe'er, Antoine Bret, Lu\'is O. Silva, Kevin M. Schoeffler
https://arxiv.org/abs/2508.11097

Bridging the Gap between Collisional and Collisionless Plasma Shocks: A Simulation Study using OSIRIS
Shock waves in plasmas can be characterized by the mechanisms behind their formation. When binary collisions are frequent, dissipation is collision-driven and the shock width is a few mean free paths. In contrast, collisionless shocks rely on collective plasma processes to establish dissipation on scales well below the mean free path. We bridge these regimes with particle-in-cell simulations using OSIRIS with a Coulomb-collision module, varying parameters that control collisionality. We find a …

Physics-Informed Deep Contrast Source Inversion: A Unified Framework for Inverse Scattering Problems
Haoran Sun, Daoqi Liu, Hongyu Zhou, Maokun Li, Shenheng Xu, Fan Yang
https://arxiv.org/abs/2508.10555

Physics-Informed Deep Contrast Source Inversion: A Unified Framework for Inverse Scattering Problems
Inverse scattering problems are critical in electromagnetic imaging and medical diagnostics but are challenged by their nonlinearity and diverse measurement scenarios. This paper proposes a physics-informed deep contrast source inversion framework (DeepCSI) for fast and accurate medium reconstruction across various measurement conditions. Inspired by contrast source inversion (CSI) and neural operator methods, a residual multilayer perceptron (ResMLP) is employed to model current distributions …

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/10]:
- CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision
Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

Double Slit Experiment from Nano to Femto Scale
Arvind Khuntia, Raghunath Sahoo
https://arxiv.org/abs/2509.13924 https://arxiv.org/pdf/2509.13924

Double Slit Experiment from Nano to Femto Scale
The evolution of light theories began with Isaac Newton's corpuscular model, which explained reflection and refraction but could not account for diffraction and interference. In contrast, Christiaan Huygens proposed a wave theory, explaining light's behavior through an ether-based medium, supported by his principle that each point in a wavefront acts as a secondary source. This idea was experimentally supported in the early nineteenth century when Thomas Young's double-slit experiment revealed …

Hands-on with Tiramisu, Meta's "hyperrealistic" VR research prototype with beyond-retinal resolution, high brightness and contrast, and a narrow field of view (David Heaney/UploadVR)
https://www.uploadvr.com/meta-tiramisu-hyperrealistic-vr-hands-on/

Meta Tiramisu "Hyperrealistic VR" Hands-On: A Stunning Window Into Another World
At SIGGRAPH 2025, we also went hands-on with Tiramisu, Meta's prototype that combines beyond-retinal resolution, high brightness, and high contrast.

Evolution of surfactant-free 'pristine' emulsions
Andrei Dukhin, Renliang Xu, Darrell Velegol
https://arxiv.org/abs/2509.13529 https://arxiv.org/pd…

Evolution of surfactant-free 'pristine' emulsions
The term pristine interface was introduced by Beattie and Djerdjev 20 years ago for emulsions that consist of only water and oil with no surfactant. They are different from Pickering emulsions, which are also surfactant-free but stabilized with colloidal particles. In contrast to previous studies, we monitor the kinetics of the initial stages of emulsion formation. We conducted such tests in an open setup when samples are open to air and CO2 content in the water varies, and in closed setup when…

Oscillating ring ferrodark solitons with breathing nematic core in a homogeneous spinor superfluid
Xiaoquan Yu
https://arxiv.org/abs/2509.13874 https://arx…

Oscillating ring ferrodark solitons with breathing nematic core in a homogeneous spinor superfluid
We study the dynamics of ring ferrodark solitons (FDSs) in a homogeneous quasi-two-dimensional (2D) ferromagnetic spin-1 Bose-Einstein condensate (BEC). In contrast to the usual expanding dynamics of ring dark solitons in a homogeneous system, the ring FDS radius exhibits self-sustained oscillations accompanied by the nematic tensor breathing at the magnetization-vanishing ring FDS core. When the ring radius greatly exceeds the FDS width, motion is nearly elastic, and we derive the ring-radius …

Causality Matters: How Temporal Information Emerges in Video Language Models
Yumeng Shi, Quanyu Long, Yin Wu, Wenya Wang
https://arxiv.org/abs/2508.11576 https://

Causality Matters: How Temporal Information Emerges in Video Language Models
Video language models (VideoLMs) have made significant progress in multimodal understanding. However, temporal understanding, which involves identifying event order, duration, and relationships across time, still remains a core challenge. Prior works emphasize positional encodings (PEs) as a key mechanism for encoding temporal structure. Surprisingly, we find that removing or modifying PEs in video inputs yields minimal degradation in the performance of temporal understanding. In contrast, reve…

Characterizing Phishing Pages by JavaScript Capabilities
Aleksandr Nahapetyan, Kanv Khare, Kevin Schwarz, Bradley Reaves, Alexandros Kapravelos
https://arxiv.org/abs/2509.13186 …

Characterizing Phishing Pages by JavaScript Capabilities
In 2024, the Anti-Phishing Work Group identified over one million phishing pages. Phishers achieve this scale by using phishing kits -- ready-to-deploy phishing websites -- to rapidly deploy phishing campaigns with specific data exfiltration, evasion, or mimicry techniques. In contrast, researchers and defenders continue to fight phishing on a page-by-page basis and rely on manual analysis to recognize static features for kit identification. This paper aims to aid researchers and analysts by …

RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene Graph
Hecheng Wang, Jiankun Ren, Jia Yu, Lizhe Qi, Yunquan Sun
https://arxiv.org/abs/2508.12916

RoboRetriever: Single-Camera Robot Object Retrieval via Active and Interactive Perception with Dynamic Scene Graph
Humans effortlessly retrieve objects in cluttered, partially observable environments by combining visual reasoning, active viewpoint adjustment, and physical interaction-with only a single pair of eyes. In contrast, most existing robotic systems rely on carefully positioned fixed or multi-camera setups with complete scene visibility, which limits adaptability and incurs high hardware costs. We present \textbf{RoboRetriever}, a novel framework for real-world object retrieval that operates using …

On The Road - To Xi’An/ Geometry 📐
在路上 - 去西安/ 几何 📐
📷 Pentax MX
🎞️Fujifilm Neopan F, expired 1993
#filmphotography #Photography #blackandwhite

Inducing macroscopic cat states of nonequilibrium electrons via cat-state light irradiation and projective measurements
Shohei Imai
https://arxiv.org/abs/2508.11769 https://

Inducing macroscopic cat states of nonequilibrium electrons via cat-state light irradiation and projective measurements
We show that projective measurements on quantum light can induce macroscopic cat states in many-electron systems driven by large-amplitude cat-state light. Here we investigate the quantum dynamics of N independent two-level electrons interacting with Schrödinger cat or kitten states of light. Without measurement, a macroscopic cat state of electrons appears only in an ultrashort time window. In contrast, we demonstrate that photon-number parity or quadrature projective measurements can restore…

Undersampled Phase Retrieval with Image Priors
Stanislas Ducotterd, Zhiyuan Hu, Michael Unser, Jonathan Dong
https://arxiv.org/abs/2509.15026 https://arxiv…

Undersampled Phase Retrieval with Image Priors
Phase retrieval seeks to recover a complex signal from amplitude-only measurements, a challenging nonlinear inverse problem. Current theory and algorithms often ignore signal priors. By contrast, we evaluate here a variety of image priors in the context of severe undersampling with structured random Fourier measurements. Our results show that those priors significantly improve reconstruction, allowing accurate reconstruction even below the weak recovery threshold.

Despite his unassuming title of “deputy chief of staff,”
Stephen Miller is one of the most powerful men in America.
His boss, Donald Trump, is undisciplined and unfocused,
prone to launching major initiatives (mass deportation, D.C. crime crackdown)
before wandering off to get distracted by fripperies (redecorating the White House, micromanaging the Kennedy Center).
Miller, by contrast, is the always-on attack dog, single-mindedly scheming up new ways to trans…

It’s Stephen Miller’s Show Now
The most powerful guy in Trump’s ear has a plan for how to respond to the death of Charlie Kirk. You’re not going to like it.

Demonstrating Improved Contrast on the Roman Coronagraph with Spatial Linear Dark Field Control
Thayne Currie, Olivier Guyon, Ruslan Belikov, Dan Sirbu, Mona El Morsy
https://arxiv.org/abs/2509.08905

Demonstrating Improved Contrast on the Roman Coronagraph with Spatial Linear Dark Field Control
The baseline contrast floor from the Roman Coronagraph's High-Order Wavefront Sensing and Control strategy likely degrades over the course of time, requiring periodic recalibration of the dark hole. Here, we propose to consider spatial linear dark field control (sLDFC) on a one-sided deep-contrast region of the focal plane as a potential test. Implementing sLDFC on CGI will likely require some unique data acquisition strategies given the EMCCD's high flux sensitivity in long exposures/high gain…

Here's an attempt at making a somewhat artistic photo of a mundane object by making it black and white and upping the contrast and only using the phone's built-in editing tools. #photography #BlackAndWhite

Gluon Polarimetry with Energy-Energy Correlators
Yu-Kun Song, Shu-Yi Wei, Lei Yang, Jian Zhou
https://arxiv.org/abs/2509.14960 https://arxiv.org/pdf/2509.1…

Gluon Polarimetry with Energy-Energy Correlators
We propose a novel method to probe gluon linear polarization via energy correlations in hard scattering processes. This approach exploits the characteristic $\cos 2ϕ$ azimuthal modulation in single- and two-point energy correlations within jets initiated by polarized gluons. In contrast to conventional techniques that rely on $k_t$ resummation or intricate jet substructure observables, our method offers a theoretically robust and experimentally accessible avenue for gluon polarimetry. We perfo…

Ellipsoidal partitions for improved multi-stage robust model predictive control
Moritz Heinlein, Florian Messerer, Moritz Diehl, Sergio Lucia
https://arxiv.org/abs/2509.12792 ht…

Ellipsoidal partitions for improved multi-stage robust model predictive control
Ellipsoidal tube-based model predictive control methods effectively account for the propagation of the reachable set, typically employing linear feedback policies. In contrast, scenario-based approaches offer more flexibility in the feedback structure by considering different control actions for different branches of a scenario tree. However, they face challenges in ensuring rigorous guarantees. This work aims to integrate the strengths of both methodologies by enhancing ellipsoidal tube-based …

Programmable Cognitive Bias in Social Agents
Xuan Liu, Haoyang Shang, Haojian Jin
https://arxiv.org/abs/2509.13588 https://arxiv.org/pdf/2509.13588

Programmable Cognitive Bias in Social Agents
This paper introduces CoBRA, a novel toolkit for systematically specifying agent behavior in LLM-based social simulation. We found that conventional approaches that specify agent behaviors through implicit natural language descriptions cannot yield consistent behaviors across models, and the produced agent behaviors do not capture the nuances of the descriptions. In contrast, CoBRA presents a new approach to program agents' cognitive biases explicitly, by grounding agents' expected behaviors us…

As usual we watched the "Stoertebekker" stage play at Ralswiek on Rügen Island. The stage setups and wardrobes were as awesome as always. They really try to improve on that every year and come up with clever mechanisms to transform the building for the various acts of the play. The script this year left room for desire ;) Nevertheless a happing worth attending
htt…

Moody Urbanity - Odes II 🎶
情绪化城市 - 颂 II🎶
📷 Pentax MX
🎞️ Kentmere Pan 400
#filmphotography #Photography #blackandwhite

ExT: Towards Scalable Autonomous Excavation via Large-Scale Multi-Task Pretraining and Fine-Tuning
Yifan Zhai, Lorenzo Terenzi, Patrick Frey, Diego Garcia Soto, Pascal Egli, Marco Hutter
https://arxiv.org/abs/2509.14992

ExT: Towards Scalable Autonomous Excavation via Large-Scale Multi-Task Pretraining and Fine-Tuning
Scaling up the deployment of autonomous excavators is of great economic and societal importance. Yet it remains a challenging problem, as effective systems must robustly handle unseen worksite conditions and new hardware configurations. Current state-of-the-art approaches rely on highly engineered, task-specific controllers, which require extensive manual tuning for each new scenario. In contrast, recent advances in large-scale pretrained models have shown remarkable adaptability across tasks a…

A 3D porous MXene/PNIPAAm hydrogel composite with advanced degradation stability and control of electronic properties in air
Sitao Wang, Chen Jiao, Gerald Gerlach, Julia K\"orner
https://arxiv.org/abs/2508.11392

A 3D porous MXene/PNIPAAm hydrogel composite with advanced degradation stability and control of electronic properties in air
This study reports the fundamental investigation of a novel composite material consisting of MXene (Ti$_3$C$_2$T$_x$) and a stimulus-responsive hydrogel (Poly(N-isopropylacrylamide) - PNIPAAm). In contrast to previously reported integration of MXene and hydrogels, the material described here offers a tunable porous structure for volatile organic compound (VOC) sensing that maintains its stability and responsiveness in any kind of gaseous environment and in a dried state. Furthermore, its synthe…

Dependence of the recoherence times and recoherence increments on the state of phonon bath in a single qubit dephasing model
V. V. Ignatyuk, Ch. Samorodov
https://arxiv.org/abs/2508.11606

Dependence of the recoherence times and recoherence increments on the state of phonon bath in a single qubit dephasing model
The recoherence times $t^*$ and the maximum values of the recoherence increments $γ_{\rm extr}$ are studied as functions of the bath parameters for a single qubit dephasing model, prepared initially by a special kind of the non-selective measurements. The recoherence/decoherence events (RDE), occurring at the initial stage of the system evolution, are found to be both similar and different from the system dynamics at large times. For instance, in contrast to the RDE observed on large time scal…

Method of regions for dual conformal integrals
Leonid V. Bork, Roman N. Lee, Andrei I. Onishchenko
https://arxiv.org/abs/2509.12056 https://arxiv.org/pdf/2…

Method of regions for dual conformal integrals
We apply the method of regions to the evaluation of dual conformal integrals with small off-shellness. In contrast to conventional approach, where the separation of regions is performed via dimensional regularization which breaks the dual conformal invariance (DCI) of separate contributions, we use the regularization which is sufficiently generic combination of dimensional and analytic regularizations which preserves the DCI. Within this regularization, the contribution of each region becomes D…

Azerbaijani media highlight stark contrast in China receptions for Aliyev and Putin at the SCO summit: https://benborges.xyz/2025/08/31/azerbaijani-media-highlight-stark-contrast.html

Thermodynamic Paradox and Non-Hermitian Topological Singularities
Mario G. Silveirinha
https://arxiv.org/abs/2508.12704 https://arxiv.org/pdf/2508.12704

Thermodynamic Paradox and Non-Hermitian Topological Singularities
Unidirectional modes in magnetically biased electromagnetic systems have long been associated with a thermodynamic paradox: the absence of counter-propagating channels may produce non-integrable singularities that may act as unphysical sinks of thermal radiation. Here we revisit this problem and show that material dissipation alone cannot regularize the singular behavior, in sharp contrast with reciprocal systems where any loss suffices. Instead, the paradox is resolved by nonlocal effects, whi…

Hey friends, sorry to be so silent again. Busy life - but nothing bad.
Just wanted to share this photo with you :
THIS was the narrowest passage ahead. It's just this and around the corner, after this it widens up again. And I can promise: it does not just look narrow - it really IS.
I admit that I thought "ohkay, I did NOT expect that and I hope it won't get worse".
(it didn't and it was fun after all)

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems
Ruizhi Zhang, Yuchen Zhang, Lipeng Zhu, Ying Zhang, Rui Zhang
https://arxiv.org/abs/2509.10487

A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems
This paper presents an end-to-end deep learning framework in a movable antenna (MA)-enabled multiuser communication system. In contrast to the conventional works assuming perfect channel state information (CSI), we address the practical CSI acquisition issue through the design of pilot signals and quantized CSI feedback, and further incorporate the joint optimization of channel estimation, MA placement, and precoding design. The proposed mechanism enables the system to learn an optimized transm…

Reentrant localization in fractionally charged electron wave packets
Y. Yin
https://arxiv.org/abs/2509.12532 https://arxiv.org/pdf/2509.12532

Reentrant localization in fractionally charged electron wave packets
We investigate the localization transition in fractionally charged electron wave packets, which is injected into a quantum conductor by a single voltage pulse with arbitrary flux quantum. We show that the transition is unidirectional for individual electrons or holes. They always undergo a delocalization-to-localization transition as the flux increases. In contrast, the transition of the neutral electron-hole pairs is bidirectional. As the flux increases, the transition can be a localization-to…

The contrast between Google AI search results, which are terrible and totally unreliable, and NotebookLM is amazing.
I think it is irresponsible from Google to integrate AI search results in Google Search...
#ai #googlesearch

A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven Denoisers
Tao Hong, Umberto Villa, Jeffrey A. Fessler
https://arxiv.org/abs/2508.11219

A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven Denoisers
Model-based reconstruction plays a key role in compressed sensing (CS) MRI, as it incorporates effective image regularizers to improve the quality of reconstruction. The Plug-and-Play and Regularization-by-Denoising frameworks leverage advanced denoisers (e.g., convolutional neural network (CNN)-based denoisers) and have demonstrated strong empirical performance. However, their theoretical guarantees remain limited, as practical CNNs often violate key assumptions. In contrast, gradient-driven d…

Q-Linear Convergence of the Proximal Augmented Lagrangian Method for Non-Convex Conic Programming
Ning Zhang, Yi Zhang
https://arxiv.org/abs/2509.11531 https://

Q-Linear Convergence of the Proximal Augmented Lagrangian Method for Non-Convex Conic Programming
This paper provides a local convergence analysis of the proximal augmented Lagrangian method (PALM) applied to a class of non-convex conic programming problems. Previous convergence results for PALM typically imposed assumptions such as constraint non-degeneracy, strict complementarity, second-order sufficiency conditions, or a combination of constraint nondegeneracy with strong second-order sufficiency conditions. In contrast, our work demonstrates a Q-linear convergence rate for an inexact ve…

Anomalous Trajectory Drift and Geometric Phases of Cyclic Spinor Solitons Induced by Virtual Magnetic Monopoles
Ruo-Yun Wu, Ning Mao, Xiao-Lin Li, Jie Liu, Li-Chen Zhao
https://arxiv.org/abs/2509.13800

Anomalous Trajectory Drift and Geometric Phases of Cyclic Spinor Solitons Induced by Virtual Magnetic Monopoles
We investigate the dynamics of a two-component Bose-Einstein condensate with spin-orbit coupling numerically and analytically. Under the drive of a weak segmented rotational external field, we observe that the system exhibits cyclic soliton motion; however, in contrast to the predictions of quasi-particle theory, the trajectory of the soliton center shows a distinct drift. The underlying mechanism of this anomalous drift is revealed: the moving soliton experiences a Lorentz force induced by a v…

Quantum Many-Body Simulations of Catalytic Metal Surfaces
Changsu Cao, Hung Q. Pham, Zhen Guo, Yutan Zhang, Zigeng Huang, Xuelan Wen, Ji Chen, Dingshun Lv
https://arxiv.org/abs/2508.13036

Quantum Many-Body Simulations of Catalytic Metal Surfaces
Accurate quantum simulations of catalysis on metal surfaces are critical for advancing energy and materials science. Yet most existing methods fall short: density functional theory (DFT), although widely used for its computational efficiency, often lacks the accuracy needed for adsorption and reaction energetics at heterogeneous metal surfaces. Wavefunction-based theories, in contrast, are more accurate in principle but remain prohibitively costly when applied to realistic catalytic systems. He…

PoolingVQ: A VQVAE Variant for Reducing Audio Redundancy and Boosting Multi-Modal Fusion in Music Emotion Analysis
Dinghao Zou, Yicheng Gong, Xiaokang Li, Xin Cao, Sunbowen Lee
https://arxiv.org/abs/2509.11976

PoolingVQ: A VQVAE Variant for Reducing Audio Redundancy and Boosting Multi-Modal Fusion in Music Emotion Analysis
Multimodal music emotion analysis leverages audio and MIDI modalities to enhance performance. While mainstream approaches focus on complex feature extraction networks, we posit that shortening the length of audio sequence features to mitigate redundancy, especially in contrast to MIDI's compact representation, may effectively boost task performance. To achieve this, we developed PoolingVQ by combining Vector Quantized Variational Autoencoder (VQVAE) with spatial pooling, which directly compress…

Morphological and Chemical Changes in Cd-free Colloidal QD-LEDs During Operation
Ruiqi Zhang, Jamie Geng, Shaun Tan, Shreyas Srinivasan, Taehyung Kim, Mayuran Saravanapavanantham, Kwang-Hee Lim, Mike Dillender, Heejae Chung, Thienan Nguyen, Karen Yang, Yongli Lu, Taegon Kim, Moungi G. Bawendi, Vladimir Bulovic
https://arxiv.org/abs/2509.12…

Morphological and Chemical Changes in Cd-free Colloidal QD-LEDs During Operation
Heavy metal-free quantum-dot light-emitting devices (QD-LEDs) have demonstrated remarkable brightness, saturated color, and high efficiencies across a broad spectral range. However, in contrast to organic LEDs (OLEDs), QD-LED operational lifetimes remain limited, with the underlying degradation mechanisms not fully understood. In the present study, we show that InP/ZnSe/ZnS (red-emitting) and ZnTeSe/ZnSe/ZnS (blue-emitting) cadmium-free colloidal QD-LEDs undergo nanoscale morphological changes …

No-reference Quality Assessment of Contrast-distorted Images using Contrast-enhanced Pseudo Reference
Mohammad-Ali Mahmoudpour, Saeed Mahmoudpour
https://arxiv.org/abs/2510.05053

No-reference Quality Assessment of Contrast-distorted Images using Contrast-enhanced Pseudo Reference
Contrast change is an important factor that affects the quality of images. During image capturing, unfavorable lighting conditions can cause contrast change and visual quality loss. While various methods have been proposed to assess the quality of images under different distortions such as blur and noise, contrast distortion has been largely overlooked as its visual impact and properties are different from other conventional types of distortions. In this paper, we propose a no-reference image q…

Cooling of quark stars from perturbative QCD
\'Ursula Fonseca, Eduardo S. Fraga
https://arxiv.org/abs/2508.11056 https://arxiv.org/pdf/2508.11056

Cooling of quark stars from perturbative QCD
We investigate the thermal evolution of quark stars with and without a hadronic crust using an equation of state derived from perturbative QCD that incorporates the running of the strong coupling and the strange quark mass. Our analysis reveals that bare quark stars cool too rapidly to match the luminosity data, including those of the coldest observed isolated neutron stars, even when the uncertainty from the renormalization scale is taken into account. In contrast, configurations featuring a h…

RU Energy Modeling for O-RAN in ns3-oran
Abdul Wadud, Nima Afraz
https://arxiv.org/abs/2509.10978 https://arxiv.org/pdf/2509.10978

RU Energy Modeling for O-RAN in ns3-oran
This paper presents a detailed and flexible power consumption model for Radio Units (RUs) in O-RAN using the ns3-oran simulator. This is the first ns3-oran model supporting xApp control to perform the RU power modeling. In contrast to existing frameworks like EARTH or VBS-DRX, the proposed framework is RU-centric and is parameterized by hardware-level features, such as the number of transceivers, the efficiency of the power amplifier, mmWave overheads, and standby behavior. It enables simulatio…

Large cardinals beyond HOD
Juan Pablo Aguilera, Joan Bagaria, Gabriel Goldberg, Philipp L\"ucke
https://arxiv.org/abs/2509.10254 https://arxiv.org/pdf…

Large cardinals beyond HOD
Exacting and ultraexacting cardinals are large cardinal numbers compatible with the Zermelo-Fraenkel axioms of set theory, including the Axiom of Choice. In contrast with standard large cardinal notions, their existence implies that the set-theoretic universe V is not equal to Gödel's subuniverse of Hereditarily Ordinal Definable (HOD) sets. We prove that the existence of an ultraexacting cardinal is equiconsistent with the well-known axiom I0; moreover, the existence of ultraexacting cardinal…

Predicting Stellar Parameters of Massive Stars from Light Curves with Machine Learning
Rachel C. Zhang, Kaze W. K. Wong, Gonzalo Holgado, Matteo Cantiello
https://arxiv.org/abs/2509.12411

Predicting Stellar Parameters of Massive Stars from Light Curves with Machine Learning
High-resolution spectroscopic measurements of OB stars are important for understanding processes like stellar evolution, but require labor-intensive observations. In contrast, photometric missions like the Transiting Exoplanet Survey Satellite (TESS) can monitor hundreds of thousands of stars with a range of temporal resolutions, but do not provide such detailed measurements. With surveys like the Legacy Survey of Space and Time promising unprecedented photometric coverage over the next ten yea…

Progress toward a demonstration of high contrast imaging at ultraviolet wavelengths
Kyle Van Gorkom, Ramya M. Anche, Christopher B. Mendillo, Jessica Gersh-Range, G. C. Hathaway, Saraswathi Kalyani Subramanian, Justin Hom, Tyler D. Robinson, Mamadou N'Diaye, Nikole K. Lewis, Bruce Macintosh, Ewan S. Douglas
https://arxiv.org/abs/2509.0…

Progress toward a demonstration of high contrast imaging at ultraviolet wavelengths
NASA's Habitable Worlds Observatory (HWO) aims to achieve starlight suppression to the $10^{-10}$ level for the detection and spectral characterization of Earth-like exoplanets. Broadband ozone absorption features are key biosignatures that appear in the 200-400nm near-ultraviolet (UV) regime. Extending coronagraphy from visible wavelengths to the UV, however, brings with it a number of challenges, including tighter requirements on wavefront sensing and control, optical surface quality, scatter…

Deep Tensor Learning for Reliable Channel Charting from Incomplete and Noisy Measurements
Ge Chen, Panqi Chen, Lei Cheng
https://arxiv.org/abs/2509.13030 https://

Deep Tensor Learning for Reliable Channel Charting from Incomplete and Noisy Measurements
Channel charting has emerged as a powerful tool for user equipment localization and wireless environment sensing. Its efficacy lies in mapping high-dimensional channel data into low-dimensional features that preserve the relative similarities of the original data. However, existing channel charting methods are largely developed using simulated or indoor measurements, often assuming clean and complete channel data across all frequency bands. In contrast, real-world channels collected from base s…

Moody Urbanity - Odes 🎶
情绪化城市 - 颂 🎶
📷 Zeiss Super Ikonta 533/16
🎞️ Ilford HP5 Plus, expired 1993
#filmphotography #Photography #blackandwhite

In August I visited four parks with my daughter on a cross-country trip: Zion, Grand Teton, Yellowstone and Badlands.
It was clear that staffing has taken a serious hit.
Experienced rangers were noticeably absent. Many hikes had been canceled,
and the few rangers we did encounter were young, primarily park interpreters;
even they were in short supply.
In contrast, the visitor centers and gift shops seemed well staffed.

Opinion | Trump’s Painful Cuts to National Parks
Readers discuss the damage to America’s parks. Also: Racial profiling in immigrant sweeps; the 9/11 memorial; phones in the classroom.

OnlineHOI: Towards Online Human-Object Interaction Generation and Perception
Yihong Ji, Yunze Liu, Yiyao Zhuo, Weijiang Yu, Fei Ma, Joshua Huang, Fei Yu
https://arxiv.org/abs/2509.12250

OnlineHOI: Towards Online Human-Object Interaction Generation and Perception
The perception and generation of Human-Object Interaction (HOI) are crucial for fields such as robotics, AR/VR, and human behavior understanding. However, current approaches model this task in an offline setting, where information at each time step can be drawn from the entire interaction sequence. In contrast, in real-world scenarios, the information available at each time step comes only from the current moment and historical data, i.e., an online setting. We find that offline methods perform…

High-Contrast Interferometric Imaging of Single-Molecule Dynamics on Optical Fibers
Guifeng Li, Chaoyang Gong
https://arxiv.org/abs/2510.10061 https://arxi…

High-Contrast Interferometric Imaging of Single-Molecule Dynamics on Optical Fibers
Single-molecule detection enables direct observation of individual biomolecular events, providing mechanistic insights into biological processes and offering a powerful tool for disease diagnostics. However, the fundamental scale mismatch between optical wavelengths and molecules restricts the application of label-free techniques, leading to poor signal-to-noise (SNR) performance. Here, we propose a high-contrast, label-free approach based on interferometric imaging, utilizing the strong evanes…

INR meets Multi-Contrast MRI Reconstruction
Natascha Niessen (on behalf of the PREDICTOM consortium), Carolin M. Pirkl (on behalf of the PREDICTOM consortium), Ana Beatriz Solana (on behalf of the PREDICTOM consortium), Hannah Eichhorn (on behalf of the PREDICTOM consortium), Veronika Spieker (on behalf of the PREDICTOM consortium), Wenqi Huang (on behalf of the PREDICTOM consortium), Tim Sprenger (on behalf of the PREDICTOM consortium), Marion I. Menzel (on behalf of the PREDICTOM con…

INR meets Multi-Contrast MRI Reconstruction
Multi-contrast MRI sequences allow for the acquisition of images with varying tissue contrast within a single scan. The resulting multi-contrast images can be used to extract quantitative information on tissue microstructure. To make such multi-contrast sequences feasible for clinical routine, the usually very long scan times need to be shortened e.g. through undersampling in k-space. However, this comes with challenges for the reconstruction. In general, advanced reconstruction techniques such…

Superresolution of unequal-brightness thermal sources for stellar interferometry
Chenyu Hu, Ben Wang, Jiandong Zhang, Kunxu Wang, Huigen Liu, Jilin Zhou, Lijian Zhang
https://arxiv.org/abs/2509.12751

Superresolution of unequal-brightness thermal sources for stellar interferometry
Resolving high-contrast targets is a fundamental yet highly challenging task in astronomy. Using quantum estimation theory, we demonstrate that the ultimate limit for estimating the separation between two unequal-brightness thermal sources via interferometry remains constant, enabling the potential for superresolution. We give a comparative analysis of two primary stellar interferometric schemes: amplitude interferometry and intensity interferometry. Notably, the nulling strategy employed in am…

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks
Taniya Gidatkar, Oluwaseun Ajao, Matthew Shardlow
https://arxiv.org/abs/2509.09706

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks
This study evaluates the resilience of large language models (LLMs) against adversarial attacks, specifically focusing on Flan-T5, BERT, and RoBERTa-Base. Using systematically designed adversarial tests through TextFooler and BERTAttack, we found significant variations in model robustness. RoBERTa-Base and FlanT5 demonstrated remarkable resilience, maintaining accuracy even when subjected to sophisticated attacks, with attack success rates of 0%. In contrast. BERT-Base showed considerable vulne…

A Highly Compact Direct-Injection Power-Flow Controller and Line-Voltage Regulator with Shared Magnetics and Partial-Power Conversion for Full-Power Control
Davood Keshavarzi, Alexander Koehler, Stefan M. Goetz
https://arxiv.org/abs/2509.10955

A Highly Compact Direct-Injection Power-Flow Controller and Line-Voltage Regulator with Shared Magnetics and Partial-Power Conversion for Full-Power Control
An increasing integration of photovoltaic units, electric vehicle chargers, heat pumps, and energy storage systems challenges low-voltage power grids and can cause voltage range violation, loss of stability, (local) overload of lines, and power management problems. Research suggested universal power-flow control (UPFC) to solve power management problems. In contrast to bulky, slow, and costly conventional UPFCs with their shunt and series transformers, this paper presents a highly compact and c…

Friend sent me this pic from the WOOT poster session.
Unfortunately I didn't think to ask for a pic of me with it, but oh well lol.

RAPTOR: A Foundation Policy for Quadrotor Control
Jonas Eschmann, Dario Albani, Giuseppe Loianno
https://arxiv.org/abs/2509.11481 https://arxiv.org/pdf/250…

RAPTOR: A Foundation Policy for Quadrotor Control
Humans are remarkably data-efficient when adapting to new unseen conditions, like driving a new car. In contrast, modern robotic control systems, like neural network policies trained using Reinforcement Learning (RL), are highly specialized for single environments. Because of this overfitting, they are known to break down even under small differences like the Simulation-to-Reality (Sim2Real) gap and require system identification and retraining for even minimal changes to the system. In this wor…

Continuing a bit with the #photos from our #schwarzwald #vacations : (unknowingly) we walked along the Western-way. It was pretty cool because the trail was very diverse as you can see on the photo…

Spatial structure of multipartite entanglement at measurement induced phase transitions
James Allen, William Witczak-Krempa
https://arxiv.org/abs/2509.12109 https://

Spatial structure of multipartite entanglement at measurement induced phase transitions
We study multiparty entanglement near measurement induced phase transitions (MIPTs), which arise in ensembles of local quantum circuits built with unitaries and measurements. In contrast to equilibrium quantum critical transitions, where entanglement is short-ranged, MIPTs possess long-range k-party genuine multiparty entanglement (GME) characterized by an infinite hierarchy of entanglement exponents for k >= 2. First, we represent the average spread of entanglement with "entanglement clusters"…

On The Road - To Xi’An/Before & After 🌬️
在路上 - 去西安/之前之后🌬️
📷 Pentax MX
🎞️Lucky SHD 400
#filmphotography #Photography #blackandwhite

spherical: A Comprehensive Database and Automated Pipeline for VLT/SPHERE High-Contrast Imaging
Matthias Samland
https://arxiv.org/abs/2509.08044 https://a…

spherical: A Comprehensive Database and Automated Pipeline for VLT/SPHERE High-Contrast Imaging
I present spherical (https://github.com/m-samland/spherical), a software package and database designed for the ESO VLT/SPHERE high-contrast imager. SPHERE has produced the world's largest archive of direct imaging observations of exoplanets and circumstellar disks, but its heterogeneous metadata and fragmented reduction tools make end-to-end analysis labor-intensive. spherical addresses this by combining (1) a curated, regularly updated, and searchable database of all SPHERE observations, cross…

Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios
Zhanwen Liu, Yujing Sun, Yang Wang, Nan Yang, Shengbo Eben Li, Xiangmo Zhao
https://arxiv.org/abs/2508.10704

Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios
The dynamic range limitation of conventional RGB cameras reduces global contrast and causes loss of high-frequency details such as textures and edges in complex traffic environments (e.g., nighttime driving, tunnels), hindering discriminative feature extraction and degrading frame-based object detection. To address this, we integrate a bio-inspired event camera with an RGB camera to provide high dynamic range information and propose a motion cue fusion network (MCFNet), which achieves optimal s…

The conference doesn't start for a few more hours but WOOT '25 papers are up!
I'll be presenting "Extraction of Secrets from 40nm CMOS Gate Dielectric Breakdown Antifuses by FIB Passive Voltage Contrast" later this morning.
https://www.usenix.org/system/files/woot25

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert
https://arxiv.org/abs/2509.06592

Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method
Magnetic resonance imaging (MRI) is an invaluable tool for clinical and research applications. Yet, variations in scanners and acquisition parameters cause inconsistencies in image contrast, hindering data comparability and reproducibility across datasets and clinical studies. Existing scanner harmonization methods, designed to address this challenge, face limitations, such as requiring traveling subjects or struggling to generalize to unseen domains. We propose a novel approach using a conditi…

CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
Xiaoji Zheng, Ziyuan Yang, Yanhao Chen, Yuhang Peng, Yuanrong Tang, Gengyuan Liu, Bokui Chen, Jiangtao Gong
https://arxiv.org/abs/2510.12560

CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
End-to-end autonomous driving models trained solely with imitation learning (IL) often suffer from poor generalization. In contrast, reinforcement learning (RL) promotes exploration through reward maximization but faces challenges such as sample inefficiency and unstable convergence. A natural solution is to combine IL and RL. Moving beyond the conventional two-stage paradigm (IL pretraining followed by RL fine-tuning), we propose CoIRL-AD, a competitive dual-policy framework that enables IL an…

Residual MPC: Blending Reinforcement Learning with GPU-Parallelized Model Predictive Control
Se Hwan Jeon, Ho Jae Lee, Seungwoo Hong, Sangbae Kim
https://arxiv.org/abs/2510.12717

Residual MPC: Blending Reinforcement Learning with GPU-Parallelized Model Predictive Control
Model Predictive Control (MPC) provides interpretable, tunable locomotion controllers grounded in physical models, but its robustness depends on frequent replanning and is limited by model mismatch and real-time computational constraints. Reinforcement Learning (RL), by contrast, can produce highly robust behaviors through stochastic training but often lacks interpretability, suffers from out-of-distribution failures, and requires intensive reward engineering. This work presents a GPU-paralleli…

An on-sky investigation into factors limiting the performance of Keck-NIRC2 for conducting infrared high-contrast imaging
Rachel Bowens-Rubin, Ma\"issa Salama, Jayke S. Nguyen, William Thompson, Philip Hinz
https://arxiv.org/abs/2509.07138

An on-sky investigation into factors limiting the performance of Keck-NIRC2 for conducting infrared high-contrast imaging
The most common instrument used by the exoplanet/brown dwarf direct imaging community at the W.M. Keck Observatory is currently the NIRC2 near-infrared imager. We performed on-sky testing to investigate three effects which may be limiting the performance of NIRC2 when conducting high-contrast imaging observations from $3-5μ$m. First, we report the measurements of an on-sky test of the throughput of the L/M vector vortex coronagraph. We quantify the throughput and additional background flux pen…

Beam-splitter-free, high-rate quantum key distribution inspired by intrinsic quantum mechanical spatial randomness of entangled photons
Ayan Kumar Nai, Gopal Prasad Sahu, Rutuj Gharate, C. M. Chandrashekar, G. K. Samanta
https://arxiv.org/abs/2509.10231

Beam-splitter-free, high-rate quantum key distribution inspired by intrinsic quantum mechanical spatial randomness of entangled photons
Quantum key distribution (QKD) using entangled photon sources (EPS) is a cornerstone of secure communication. Despite rapid advances in QKD, conventional protocols still employ beam splitters (BSs) for passive random basis selection. However, BSs intrinsically suffer from photon loss, imperfect splitting ratios, and polarization dependence, limiting the key rate, increasing the quantum bit error rate (QBER), and constraining scalability, particularly over long distances. By contrast, EPSs based…

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
Jingyi Gao, Di Wu, Baha lhnaini
https://arxiv.org/abs/2509.08860 https://…

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
Ultrasound image segmentation faces unique challenges including speckle noise, low contrast, and ambiguous boundaries, while clinical deployment demands computationally efficient models. We propose USEANet, an ultrasound-specific edge-aware multi-branch network that achieves optimal performance-efficiency balance through four key innovations: (1) ultrasound-specific multi-branch processing with specialized modules for noise reduction, edge enhancement, and contrast improvement; (2) edge-aware a…

EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
Yanjun Li, Yuqian Fu, Tianwen Qian, Qi'ao Xu, Silong Dai, Danda Pani Paudel, Luc Van Gool, Xiaoling Wang
https://arxiv.org/abs/2508.10729

EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
Recent advances in Multimodal Large Language Models (MLLMs) have significantly pushed the frontier of egocentric video question answering (EgocentricQA). However, existing benchmarks and studies are mainly limited to common daily activities such as cooking and cleaning. In contrast, real-world deployment inevitably encounters domain shifts, where target domains differ substantially in both visual style and semantic content. To bridge this gap, we introduce \textbf{EgoCross}, a comprehensive ben…

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
Yushi Lan, Yihang Luo, Fangzhou Hong, Shangchen Zhou, Honghua Chen, Zhaoyang Lyu, Shuai Yang, Bo Dai, Chen Change Loy, Xingang Pan
https://arxiv.org/abs/2508.10893

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
We present STream3R, a novel approach to 3D reconstruction that reformulates pointmap prediction as a decoder-only Transformer problem. Existing state-of-the-art methods for multi-view reconstruction either depend on expensive global optimization or rely on simplistic memory mechanisms that scale poorly with sequence length. In contrast, STream3R introduces an streaming framework that processes image sequences efficiently using causal attention, inspired by advances in modern language modeling.…

An Efficient Model-Driven Groupwise Approach for Atlas Construction
Ziwei Zou, Bei Zou, Xiaoyan Kui, Wenqi Lu, Haoran Dou, Arezoo Zakeri, Timothy Cootes, Alejandro F Frangi, Jinming Duan
https://arxiv.org/abs/2508.10743

An Efficient Model-Driven Groupwise Approach for Atlas Construction
Atlas construction is fundamental to medical image analysis, offering a standardized spatial reference for tasks such as population-level anatomical modeling. While data-driven registration methods have recently shown promise in pairwise settings, their reliance on large training datasets, limited generalizability, and lack of true inference phases in groupwise contexts hinder their practical use. In contrast, model-driven methods offer training-free, theoretically grounded, and data-efficient …