Tootfinder

Wow, C2PA Content Credentials working in the wild. In Chrome, anyhow. If you install this extension: https://chromewebstore.google.com/detail/c2pa-content-credentials/mjkaocdlpjmphfkjndocehcdhbigaafp and then visit a page on …

C2PA Content Credentials - Chrome Web Store
Verify and display manifests for images, audio and videos embedding C2PA Content Credentials.

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new/
[3/3]:
Reinforcing Multimodal Understanding and Generation with Dual Self-rewards

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new/
[3/3]:
VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models

Replaced article(s) found for math.CT. https://arxiv.org/list/math.CT/new/
[1/1]:
Dilations and information flow axioms in categorical probability

A Novel Feedforward Youla Parameterization Method for Avoiding Local Minima in Stereo Image Based Visual Servoing Control
Rongfei Li, Francis Assadian
https://arxiv.org/abs/2506.10252

A Novel Feedforward Youla Parameterization Method for Avoiding Local Minima in Stereo Image Based Visual Servoing Control
In robot navigation and manipulation, accurately determining the camera's pose relative to the environment is crucial for effective task execution. In this paper, we systematically prove that this problem corresponds to the Perspective-3-Point (P3P) formulation, where exactly three known 3D points and their corresponding 2D image projections are used to estimate the pose of a stereo camera. In image-based visual servoing (IBVS) control, the system becomes overdetermined, as the 6 degrees of fre…

ObfusBFA: A Holistic Approach to Safeguarding DNNs from Different Types of Bit-Flip Attacks
Xiaobei Yan, Han Qiu, Tianwei Zhang
https://arxiv.org/abs/2506.10744

ObfusBFA: A Holistic Approach to Safeguarding DNNs from Different Types of Bit-Flip Attacks
Bit-flip attacks (BFAs) represent a serious threat to Deep Neural Networks (DNNs), where flipping a small number of bits in the model parameters or binary code can significantly degrade the model accuracy or mislead the model prediction in a desired way. Existing defenses exclusively focus on protecting models for specific attacks and platforms, while lacking effectiveness for other scenarios. We propose ObfusBFA, an efficient and holistic methodology to mitigate BFAs targeting both the high-le…

[2025-05-14 Wed (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
#toXiv_bot_toot

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new/
[1/1]:
Finding a Fair Scoring Function for Top-$k$ Selection: From Hardness to Practice

Replaced article(s) found for cs.SD. https://arxiv.org/list/cs.SD/new/
[1/1]:
Exploring Performance-Complexity Trade-Offs in Sound Event Detection Models

Two coincidences are a clue: Probing a GeV-scale dark QCD sector
Yi Chung
https://arxiv.org/abs/2506.10928 https://arxiv.org/pdf/2506…

Two coincidences are a clue: Probing a GeV-scale dark QCD sector
The similarity between dark matter and baryon energy densities suggests the existence of a dark sector analogous to the visible QCD sector. In addition, small-scale structure issues can be addressed by dark matter self-interactions with a cross section comparable to that of QCD. Both observations point to a GeV-scale dark QCD sector. In this letter, guided by these two coincidences, we investigate how a chiral dark QCD model with a MeV-scale dark photon can resolve the core-cusp problem. A pote…

Replaced article(s) found for astro-ph.HE. https://arxiv.org/list/astro-ph.HE/new/
[1/1]:
Unraveling Trace Anomaly of Supradense Matter via Neutron Star Compactness Scaling

Reduced-Order Time Splitting for Navier-Stokes with Open Boundaries
Mejdi Aza\"iez, Tom\'as Chac\'on Rebollo, Carlos N\'u\~nez Fern\'andez, Samuele Rubino
https://arxiv.org/abs/2506.10763

Reduced-Order Time Splitting for Navier-Stokes with Open Boundaries
In this work, we propose a Proper Orthogonal Decomposition-Reduced Order Model (POD-ROM) applied to time-splitting schemes for solving the Navier-Stokes equations with open boundary conditions. In this method, we combine three strategies to reduce the computing time to solve NSE: time splitting, reduction of the computational domain through non-standard treatment of open boundary conditions and reduced order modelling. To make the work self-contained, we first present the formulation of the tim…

Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Shriya Gumber, Lorena Alzate-Vargas, Benjamin T. Nebgen, Arjen van Veelen, Smit Kadvani, Tammie Gibson, Richard Messerly
https://arxiv.org/abs/2506.10211

Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Machine learning interatomic potentials (MLIPs) are inherently limited by the accuracy of the training data, usually consisting of energies and forces obtained from quantum mechanical calculations, such as density functional theory (DFT). Since DFT itself is based on several approximations, MLIPs may inherit systematic errors that lead to discrepancies with experimental data. In this paper, we use a trajectory re-weighting technique to refine DFT pre-trained MLIPs to match the target experiment…

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): VII. Testing accretion mechanisms from disk population synthesis
Beno\^it Tabone, Giovanni P. Rosotti, Leon Trapman, Paola Pinilla, Ilaria Pascucci, Alice Somigliana, Richard Alexander, Miguel Vioque, Rossella Anania, Aleksandra Kuznetsova, Ke Zhang, Laura M. P\'erez, Lucas A. Cieza, John Carpenter, Dingshan Deng, Carolina Agurto-Gangas, Dary A. Ru\'iz-Rodr\'iguez, Anibal Sierra, Nicol\'as T. Kurtovic, …

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): VII. Testing accretion mechanisms from disk population synthesis
The architecture of planetary systems depends on the evolution of the disks in which they form. In this work, we develop a population synthesis approach to interpret the AGE-PRO measurements of disk gas mass and size considering two scenarios: turbulence-driven evolution with photoevaporative winds and MHD disk-wind-driven evolution. A systematic method is proposed to constrain the distribution of disk parameters from the disk fractions, accretion rates, disk gas masses, and CO gas sizes. We fi…

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new/
[1/1]:
Noise budget of a trapped on chip cold atom Rubidium 87 clock

Replaced article(s) found for astro-ph.GA. https://arxiv.org/list/astro-ph.GA/new/
[1/1]:
The Impact of Feedback-driven Outflows on Bar Formation

Immersive Fantasy Based on Digital Nostalgia: Environmental Narratives for the Korean Millennials and Gen Z
Yerin Doh, Joonhyung Bae
https://arxiv.org/abs/2506.10013

Immersive Fantasy Based on Digital Nostalgia: Environmental Narratives for the Korean Millennials and Gen Z
This study introduces the media artwork Dear Passenger, Please Wear a Mask, designed to offer a layered exploration of single-use mask waste, which escalated during the COVID-19 pandemic. The piece reframes underappreciated ecological concerns by interweaving digital nostalgia and airline travel recollections of Millennials and Gen Z with a unique fantasy narrative. Via a point-and-click game and an immersive exhibition, participants traverse both virtual and real domains, facing ethical and en…

Replaced article(s) found for math.OA. https://arxiv.org/list/math.OA/new/
[1/1]:
The strong Haagerup inequality for q-circular systems
https://…

Black hole/quantum machine learning correspondence
Jae-Weon Lee, Zae Young Kim
https://arxiv.org/abs/2506.09678 https://arxiv.org/pdf…

Black hole/quantum machine learning correspondence
We explore a potential connection between the black hole information paradox and the double descent phenomenon in quantum machine learning. Information retrieval from Hawking radiation can be viewed through the lens of quantum linear regression over black hole microstates, with the Page time corresponding to the interpolation threshold, beyond which test error decreases despite overparameterization. Using the Marchenko-Pastur law, we derive the variance in test error for the quantum linear regr…

Last leg on our brief history of NLP (so far) is the advent of large language models with GPT-3 in 2020 and the introduction of learning from the prompt (aka few-shot learning).
T. B. Brown et al. (2020). Language models are few-shot learners. NIPS'20
https://…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new/
[2/3]:
VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models

Neural Functions for Learning Periodic Signal
Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park
https://arxiv.org/abs/2506.09526 https://

Neural Functions for Learning Periodic Signal
As function approximators, deep neural networks have served as an effective tool to represent various signal types. Recent approaches utilize multi-layer perceptrons (MLPs) to learn a nonlinear mapping from a coordinate to its corresponding signal, facilitating the learning of continuous neural representations from discrete data points. Despite notable successes in learning diverse signal types, coordinate-based MLPs often face issues of overfitting and limited generalizability beyond the train…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new/
[2/3]:
IPA-CHILDES & G2P : Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Mode...

Colimits in the $\infty$-category of $\infty$-topoi and \'etale morphisms
Taichi Uemura
https://arxiv.org/abs/2506.10431 https://…

Colimits in the $\infty$-category of $\infty$-topoi and étale morphisms
We provide an alternative proof of Lurie's result that the wide subcategory of the $\infty$-category of $\infty$-topoi spanned by the étale morphisms is closed under small colimits. Our proof is based on a new characterization of étale morphisms of $\infty$-topoi in relation to univalent families and does not rely on a larger universe. During the proof, we also give an elementary construction of univalent completion.

[2025-05-14 Wed (UTC), no new articles found for q-fin.GN General Finance]
#toXiv_bot_toot

Replaced article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new/
[1/1]:
ClassInvGen: Class Invariant Synthesis using Large Language Models
htt…

Effect of current on terahertz plasmons in AlGaN/GaN heterostructures
M. Dub (CENTERA, CEZAMAT, Warsaw University of Technology, 02-822 Warsaw, Poland, Institute of High Pressure Physics PAS, 01-142 Warsaw, Poland), P. Sai (CENTERA, CEZAMAT, Warsaw University of Technology, 02-822 Warsaw, Poland, Institute of High Pressure Physics PAS, 01-142 Warsaw, Poland), Y. Ivonyak (CENTERA, CEZAMAT, Warsaw University of Technology, 02-822 Warsaw, Poland, Institute of High Pressure Physics PAS, 01…

Effect of current on terahertz plasmons in AlGaN/GaN heterostructures
Terahertz transmittance spectra of plasmonic crystals based on two-dimensional electron gas in AlGaN/GaN heterostructures were studied in grating-gate and gateless plasmonic crystals as a function of lateral bias. The decrease of the plasmon resonance frequencies (redshift) with increase of the lateral current was observed for both types of structures. We show that the change of the electron concentration profile and Joule heating are the main phenomena responsible for the shift of plasma reson…

Replaced article(s) found for math.KT. https://arxiv.org/list/math.KT/new/
[1/1]:
Uniqueness of six-functor formalisms
https://

02:13—Good Night #Fediverse! 😴💤
I added some more autistic flare at #Night

Replaced article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new/
[1/1]:
Reviewing Uses of Regulatory Compliance Monitoring
https://

Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes
Rogier C. van Dalen, Shucong Zhang, Titouan Parcollet, Sourav Bhattacharya
https://arxiv.org/abs/2506.10653

Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes
Speech recognisers usually perform optimally only in a specific environment and need to be adapted to work well in another. For adaptation to a new speaker, there is often too little data for fine-tuning to be robust, and that data is usually unlabelled. This paper proposes a combination of approaches to make adaptation to a single minute of data robust. First, instead of estimating the adaptation parameters with cross-entropy on a single error-prone hypothesis or "pseudo-label", this paper pro…

Replaced article(s) found for cs.FL. https://arxiv.org/list/cs.FL/new/
[1/1]:
A Family of Sequences Generalizing the Thue Morse and Rudin Shapiro Sequences

Replaced article(s) found for math.OC. https://arxiv.org/list/math.OC/new/
[1/1]:
Tractable hierarchies of convex relaxations for polynomial optimization on the nonnegative orthant

Inverse scattering problem for the third-order equation on the line
Tuncay Aktosun, Ivan Toledo, Mehmet Unlu
https://arxiv.org/abs/2506.09346 https://

Inverse scattering problem for the third-order equation on the line
We consider the third-order linear differential equation $$\displaystyle\frac{d^3ψ}{dx^3}+Q(x)\,\displaystyle\frac{dψ}{dx}+P(x)\,ψ=k^3\,ψ,\qquad x\in\mathbb R,$$ where the complex-valued potentials $Q$ and $P$ are assumed to belong to the Schwartz class. We describe the basic solutions, the scattering coefficients, and the bound-state information, and we introduce the dependency constants and the normalization constants at the bound states. When the secondary reflection coefficients are zer…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new/
[1/3]:
Federated Unsupervised Visual Representation Learning via Exploiting General Content and Personal...

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT
Aaron Hurst, Andrey V. Kalinichev, Klaus Koren, Daniel E. Lucani
https://arxiv.org/abs/2506.09186

Not all those who drift are lost: Drift correction and calibration scheduling for the IoT
Sensors provide a vital source of data that link digital systems with the physical world. However, as sensors age, the relationship between what they measure and what they output changes. This is known as sensor drift and poses a significant challenge that, combined with limited opportunity for re-calibration, can severely limit data quality over time. Previous approaches to drift correction typically require large volumes of ground truth data and do not consider measurement or prediction uncer…

Constrained Denoising, Empirical Bayes, and Optimal Transport
Adam Quinn Jaffe, Nikolaos Ignatiadis, Bodhisattva Sen
https://arxiv.org/abs/2506.09986 https…

Constrained Denoising, Empirical Bayes, and Optimal Transport
In the statistical problem of denoising, Bayes and empirical Bayes methods can "overshrink" their output relative to the latent variables of interest. This work is focused on constrained denoising problems which mitigate such phenomena. At the oracle level, i.e., when the latent variable distribution is assumed known, we apply tools from the theory of optimal transport to characterize the solution to (i) variance-constrained, (ii) distribution-constrained, and (iii) general-constrained denoisin…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new/
[3/5]:
From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models

Discovery and Localization of the Swift-Observed FRB 20241228A in a Star-forming Host Galaxy
Alice P. Curtin, Shion Andrew, Sunil Simha, Alice Cai, Kenzie Nimmo, Shami Chatterjee, Amanda M. Cook, Fengqiu Adam Dong, Yuxin Dong, Tarraneh Eftekhari, Wen-fai Fong, Emmanuel Fonseca, Jason W. T. Hessels, Ronniy C. Joseph, Victoria Kaspi, Calvin Leung, Robert Main, Kiyoshi W. Masui, Ryan Mckinven, Daniele Michilli, Mason Ng, Ayush Pandhi, Aaron B. Pearlman, Ziggy Pleunis, Mawson W. Sammons, K…

Discovery and Localization of the Swift-Observed FRB 20241228A in a Star-forming Host Galaxy
On 2024 December 28, CHIME/FRB detected the thus-far non-repeating FRB 20241228A with a real-time signal-to-noise ratio of $>50$. Approximately 112~s later, the X-ray Telescope onboard the Neil Gehrels Swift Observatory was on source, the fastest follow-up to-date of a non-repeating FRB (Tohuvavohu et al. in prep.). Using CHIME/FRB and two of the three CHIME/FRB Outriggers, we obtained a Very Long Baseline Interferometry localization for FRB 20241228A with a 1$σ$ confidence ellipse of 11$^{\pr…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new/
[1/3]:
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion

[2025-06-13 Fri (UTC), 1 new article found for math.CT Category Theory]
toXiv_bot_toot

[2025-05-14 Wed (UTC), no new articles found for q-bio.OT Other Quantitative Biology]
#toXiv_bot_toot

Optimal Task Offloading with Firm Deadlines for Mobile Edge Computing Systems
Khai Doan, Wesley Araujo, Evangelos Kranakis, Ioannis Lambadaris, Yannis Viniotis, Wonjae Shin
https://arxiv.org/abs/2506.09180

Optimal Task Offloading with Firm Deadlines for Mobile Edge Computing Systems
Under a dramatic increase in mobile data traffic, a promising solution for edge computing systems to maintain their local service is the task migration that may be implemented by means of Autonomous mobile agents (AMA). In designing an optimal scheme for task offloading to AMA, we define a system cost as a minimization objective function that comprises two parts. First, an offloading cost which can be interpreted as the cost of using computational resources from the AMA. Second, a penalty cost …

[2025-06-13 Fri (UTC), no new articles found for cond-mat.other Other Condensed Matter]
toXiv_bot_toot

Exploring Topological and Localization Phenomena in SSH Chains under Generalized AAH Modulation: A Computational Approach
Souvik Ghosh, Sayak Roy
https://arxiv.org/abs/2506.10195 …

Exploring Topological and Localization Phenomena in SSH Chains under Generalized AAH Modulation: A Computational Approach
The Su-Schrieffer-Heeger (SSH) model serves as a canonical example of a one-dimensional topological insulator, yet its behavior under more complex, realistic conditions remains a fertile ground for research. This paper presents a comprehensive computational investigation into generalized SSH models, exploring the interplay between topology, quasi-periodic disorder, non-Hermiticity, and time-dependent driving. Using exact diagonalization and specialized numerical solvers, we map the system's pha…

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): VI. Comparison of Dust Evolution Models to AGE-PRO Observations
Nicolas T. Kurtovic, Matias G\'arate, Paola Pinilla, Ke Zhang, Giovanni P. Rosotti, Rossella Anania, Ilaria Pascucci, Beno\^it Tabone, Leon Trapman, Dingshan Deng, Miguel Vioque, John Carpenter, Lucas A. Cieza, Laura M. P\'erez, Carolina Agurto-Gangas, Anibal Sierra, Dary A. Ru\'iz-Rodriguez, James Miley, Camilo Gonz\'alez-Ruilova, Estephan…

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): VI. Comparison of Dust Evolution Models to AGE-PRO Observations
The potential for planet formation of a circumstellar disk depends on the dust and gas reservoirs, which evolve as a function of the disk age. The ALMA Large Program AGE-PRO has measured several disk properties across three star-forming regions of different ages, and in this study we compare the observational results to dust evolution simulations. Using DustPy for the dust evolution, and RADMC-3D for the radiative transfer, we ran a large grid of models spanning stellar masses of 0.25, 0.50, 0.…

A note concerning the ($S_3$) condition for roots in mixed characteristic
Prashanth Sridhar
https://arxiv.org/abs/2506.09072 https://…

A note concerning the ($S_3$) condition for roots in mixed characteristic
The goal of this note is to record the following curious fact: let $S$ be an unramified regular local ring of mixed characteristic $p>0$. Let $L$ denote the quotient field of $S$ and $K=L(ω)$ with $ω^p\in L$. Let $R$ denote the integral closure of $S$ in $K$. Then $R$ is Cohen-Macaulay if and only if $R$ satisfies Serre's condition $(S_3)$, i.e., the obstruction to the Cohen-Macaulayness of $R$ is in codimension three.

This https://arxiv.org/abs/2503.02610 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Monitoring Continuous Integration Practices in Industry: A Case Study
In this paper, we study the benefits and challenges of monitoring Continuous Integration (CI) practices in software development. Our aim is to evaluate the impact of monitoring seven CI practices in industry using three organizations in Brazil as case studies. We developed a tool for monitoring CI practices and conducted a multiple case study, applying a mixed-methods strategy. We combined surveys, interviews, log data, and repositories data from software projects and their CI services.We gauge…

Amazing. #Gemini just wrote this #LAMP app for me to keep notes in folders with formatting in #markdown.
"Write a LAMP app for keeping notes. Include the ability to create, edit, and delete n…

Walmart heiress Christy Walton is facing backlash, and Walmart is facing some calls for a boycott from Trump supporters
after placing a full-page ad in The New York Times urging Americans to attend town halls and engage in civic discourse.
While the "No Kings Day" ad did not mention Donald Trump by name, its emphasis on values like honoring commitments to allies, defending against dictators, and respecting trading partners was widely interpreted as a critique of Trump…

Walmart Faces MAGA Boycott After Heiress Funds 'No Kings' Ad
While the "No Kings Day" ad did not mention Trump by name, its emphasis was widely interpreted as a critique of his agenda.

[2025-06-13 Fri (UTC), no new articles found for q-bio.CB Cell Behavior]
toXiv_bot_toot

[2025-06-12 Thu (UTC), 9 new articles found for math.AP Analysis of PDEs]
toXiv_bot_toot

Origin of Radio Emission in Three Nearby Ultraluminous Infrared Galaxies with Signatures of Luminous Buried Active Galactic Nuclei
Takayuki J. Hayashi (National Astronomical Observatory of Japan), Yoshiaki Hagiwara (Toyo University), Masatoshi Imanishi (National Astronomical Observatory of Japan)
https://arxiv.org/abs/2506.10549…

Origin of Radio Emission in Three Nearby Ultraluminous Infrared Galaxies with Signatures of Luminous Buried Active Galactic Nuclei
We report multifrequency Very Long Baseline Array (VLBA) observations at 2.3 and 8.4GHz of three nearby ultraluminous infrared galaxies, identified via mid-infrared spectroscopic analyses as hosting deeply embedded active galactic nuclei (AGNs). Milliarcsecond-scale observations at both frequencies reveal compact continuum emission in IRAS F00188$-$0856 and IRAS F01298$-$0744, accounting for $\sim10$% of the flux density measured on arcsecond scales. The non-detection in IRAS F00091$-$0738 and …

[2025-06-12 Thu (UTC), 1 new article found for physics.soc-ph Physics and Society]
toXiv_bot_toot

I made this stupid page...
➡️ https://raster.codeberg.page/PizzaHTML/
Here's the code...
➡️ https://codeberg.org/raster/PizzaHTML

This https://arxiv.org/abs/2307.06054 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Asymmetry of 2-step Transit Probabilities in 2-Coloured Regular Graphs
Suppose that the vertices of a regular graph are coloured red and blue with an equal number of each (we call this a balanced colouring). Since the graph is undirected, the number of edges from a red vertex to a blue vertex is clearly the same as the number of edges from a blue vertex to a red vertex. However, if instead of edges we count walks of length 2 which do not stay within their starting colour class, then this symmetry disappears. Our aim in this paper is to investigate how extreme this…

On the Dimension-Free Concentration of Simple Tensors via Matrix Deviation
Pedro Abdalla, Roman Vershynin
https://arxiv.org/abs/2506.09333 https://

On the Dimension-Free Concentration of Simple Tensors via Matrix Deviation
We provide a simpler proof of a sharp concentration inequality for subgaussian simple tensors obtained recently by Ghattas, Chen, and Alonso. Our approach uses a matrix deviation inequality for $\ell^p$ norms and a basic chaining argument.

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new/
[1/1]:
Leveraging data-driven weather models for improving numerical weather prediction skill through la...

SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis
Weiliang Chen, Jiayi Bi, Yuanhui Huang, Wenzhao Zheng, Yueqi Duan
https://arxiv.org/abs/2506.10981

SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis
Generative models have gained significant attention in novel view synthesis (NVS) by alleviating the reliance on dense multi-view captures. However, existing methods typically fall into a conventional paradigm, where generative models first complete missing areas in 2D, followed by 3D recovery techniques to reconstruct the scene, which often results in overly smooth surfaces and distorted geometry, as generative models struggle to infer 3D structure solely from RGB data. In this paper, we propo…

Replaced article(s) found for math.NT. https://arxiv.org/list/math.NT/new/
[1/1]:
Easy Proof of Three Recursive $\pi$-Algorithms -- Einfacher Beweis dreier rekursiver $\pi$-Algori...

How high on the wank meter do you have to score to be a Page 3 girl? Pretty high, I'd expect.

Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design
Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour
https://arxiv.org/abs/2506.09508

Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design
We study reinforcement learning from human feedback in general Markov decision processes, where agents learn from trajectory-level preference comparisons. A central challenge in this setting is to design algorithms that select informative preference queries to identify the underlying reward while ensuring theoretical guarantees. We propose a meta-algorithm based on randomized exploration, which avoids the computational challenges associated with optimistic approaches and remains tractable. We e…

Maximal curves with respect to quadratic extensions over finite fields
Yves Aubry (IMATH, I2M, UTLN), Fabien Herbaut (UCA INSPE, UniCA, IMATH), Julien Monaldi (IMATH)
https://arxiv.org/abs/2506.08603

Maximal curves with respect to quadratic extensions over finite fields
We propose a detailed study of a canonical bound which relates the numbers of rational points of a curve over a finite field with that over its quadratic extension. Alternative proofs which relate to the variance enable to complete the inequality in a symmetrical way and to obtain optimal refinements. We focus on the curves reaching the bound, which we call Diophantinemaximal curves. We provide different characterizations and stress natural links with the curves which attain the Ihara bound. As…

How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
Sohee Yang, Sang-Woo Lee, Nora Kassner, Daniela Gottesman, Sebastian Riedel, Mor Geva
https://arxiv.org/abs/2506.10979

How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
Recent reasoning models show the ability to reflect, backtrack, and self-validate their reasoning, which is crucial in spotting mistakes and arriving at accurate solutions. A natural question that arises is how effectively models can perform such self-reevaluation. We tackle this question by investigating how well reasoning models identify and recover from four types of unhelpful thoughts: uninformative rambling thoughts, thoughts irrelevant to the question, thoughts misdirecting the question a…

[2025-06-12 Thu (UTC), no new articles found for cs.PL Programming Languages]
toXiv_bot_toot

Large-scale quantization of trace I: Finite propagation operators
Matthias Ludewig, Guo Chuan Thiang
https://arxiv.org/abs/2506.10957 https://

Large-scale quantization of trace I: Finite propagation operators
Inspired by parallel developments in coarse geometry in mathematics and exact macroscopic quantization in physics, we present a family of general trace formulae which are universally quantized and depend only on large-scale geometric features of the input data. They generalize, to arbitrary dimensions, formulae found by Roe in his partitioned manifold index theorem, as well as the Kubo and Kitaev formulae for 2D Hall conductance used in physics.

Identifying Compact Chirping SMBHBs in LSST using Bayesian Analysis
Chengcheng Xin, Maximiliano Isi, Will M. Farr, Zolt\'an Haiman
https://arxiv.org/abs/2506.10846

Identifying Compact Chirping SMBHBs in LSST using Bayesian Analysis
The Legacy Survey of Space and Time (LSST) is expected to observe up to ${\sim}100$ million quasars in the next decade. In this work, we show that it is possible to use such data to measure the characteristic frequency evolution of a "chirp" induced by gravitational waves, which can serve as robust evidence for the presence of a compact supermassive black-hole binary. Following the LSST specifications, we generate mock lightcurves consisting of (i) a post-Newtonian chirp produced by orbital mot…

InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model
Junqi You, Chieh Hubert Lin, Weijie Lyu, Zhengbo Zhang, Ming-Hsuan Yang
https://arxiv.org/abs/2506.10980

InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model
Recent advances in 3D scene reconstruction enable real-time viewing in virtual and augmented reality. To support interactive operations for better immersiveness, such as moving or editing objects, 3D scene inpainting methods are proposed to repair or complete the altered geometry. However, current approaches rely on lengthy and computationally intensive optimization, making them impractical for real-time or online applications. We propose InstaInpaint, a reference-based feed-forward framework t…

Joint ASR and Speaker Role Tagging with Serialized Output Training
Anfeng Xu, Tiantian Feng, Shrikanth Narayanan
https://arxiv.org/abs/2506.10349 https://

Joint ASR and Speaker Role Tagging with Serialized Output Training
Automatic Speech Recognition systems have made significant progress with large-scale pre-trained models. However, most current systems focus solely on transcribing the speech without identifying speaker roles, a function that is critical for conversational AI. In this work, we investigate the use of serialized output training (SOT) for joint ASR and speaker role tagging. By augmenting Whisper with role-specific tokens and fine-tuning it with SOT, we enable the model to generate role-aware trans…

[2025-06-12 Thu (UTC), no new articles found for cs.FL Formal Languages and Automata Theory]
toXiv_bot_toot

Modeling the Curbside Congestion Effects of Ride-hailing Services for Morning Commute using Bi-modal Two-Tandem Bottlenecks
Yao Deng, Zhi-Chun Li, Sean Qian, Wei Ma
https://arxiv.org/abs/2506.09466

Modeling the Curbside Congestion Effects of Ride-hailing Services for Morning Commute using Bi-modal Two-Tandem Bottlenecks
With the proliferation of ride-hailing services, curb space in urban areas has become highly congested due to the massive passenger pick-ups and drop-offs. Particularly during peak hours, the massive ride-hailing vehicles waiting to drop off obstruct curb spaces and even disrupt the flow of mainline traffic. However, there is a lack of an analytical model that formulates and mitigates the congestion effects of ride-hailing drop-offs in curb spaces. To address this issue, this paper proposes a n…

A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes
Thomas J. Ringstrom, Paul R. Schrater
https://arxiv.org/abs/2506.09499

A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes
We introduce Option Kernel Bellman Equations (OKBEs) for a new reward-free Markov Decision Process. Rather than a value function, OKBEs directly construct and optimize a predictive map called a state-time option kernel (STOK) to maximize the probability of completing a goal while avoiding constraint violations. STOKs are compositional, modular, and interpretable initiation-to-termination transition kernels for policies in the Options Framework of Reinforcement Learning. This means: 1) STOKs can…

Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
Ruiyang Lin (University of Science,Technology of China), Yongyi Guo (University of Wisconsin-Madison), Kyra Gan (Cornell Tech)
https://arxiv.org/abs/2506.09871

Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
The weighted controlled direct effect (WCDE) generalizes the standard controlled direct effect (CDE) by averaging over the mediator distribution, providing a robust estimate when treatment effects vary across mediator levels. This makes the WCDE especially relevant in fairness analysis, where it isolates the direct effect of an exposure on an outcome, independent of mediating pathways. This work establishes three fundamental advances for WCDE in observational studies: First, we establish necess…

Precision $e^ e^-$ Hemisphere Masses in the Dijet Region with Power Corrections
Andre H. Hoang, Vicent Mateu, Matthew D. Schwartz, Iain W. Stewart
https://arxiv.org/abs/2506.09130

Precision $e^+e^-$ Hemisphere Masses in the Dijet Region with Power Corrections
We derive high-precision results for the $e^+e^-$ heavy jet mass (HJM) $d σ/d ρ$ and dihemisphere mass (DHM) $d^2σ/(d s_1 d s_2)$ distributions, for $s_1\sim s_2$, in the dijet region. New results include: i) the N$^3$LL resummation for HJM of large logarithms $\ln^n(ρ)$ at small $ρ$ including the exact two-loop non-global hemisphere soft function, the 4-loop cusp anomalous dimension and the 3-loop hard and jet functions, ii) N$^3$LL results for DHM with resummation of logarithms $\ln(s_{1…

SN 2023xgo: Helium rich Type Icn or Carbon-Flash Type Ibn supernova?
Anjasha Gangopadhyay, Jesper Sollerman, Konstantinos Tsalapatas, Keiichi Maeda, Naveen Dukiya, Steve Schulze, Claes Fransson, Nikhil Sarin, Priscila J. Pessi, Mridweeka Singh, Jacob Wise, Tatsuya Nakaoka, Avinash Singh, Raya Dastidar, Miho Kawabata, Yu-Jing Qing, Kaustav K. Das, Daniel Perley, Christoffer Fremling, Kenta Taguchi, K-Ryan Hinds, Ragnhild Lunnan, Rishabh Singh Teja, Monalisa Dubey, Bhavya Ailawadhi, Smar…

SN 2023xgo: Helium rich Type Icn or Carbon-Flash Type Ibn supernova?
We present observations of SN 2023xgo, a transitional Type Ibn/Icn SN, from $-5.6$ to 63 days relative to $r$-band peak. Early spectra show CIII $λ$5696 emission like Type Icn SNe, shifting to Type Ibn features. The He I velocities (1800-10000 km s$^{-1}$) and pseudo-equivalent widths are among the highest in the Ibn/Icn class. The light curve declines at 0.14 mag d$^{-1}$ until 30 days, matching SNe Ibn/Icn but slower than fast transients. SN 2023xgo is the faintest in our SN Ibn sample (M$_{…

Impact of Tariff Wars on Global Economy
N. S. Gonchar, O. P. Dovzhyk, A. S. Zhokhin, W. H. Kozyrsky, A. P. Makhort
https://arxiv.org/abs/2505.05576 https:/…

Impact of Tariff Wars on Global Economy
The Ricardian model of world trade based on comparative advantage is not sufficient to justify equal trade relations.The existing model of trade relations does not explain the distribution of income among trading countries. This paper presents a method for building equitable trade relations. Its essence is to present an algorithm for building such trade relations, based on the previously proposed model of world trade, that the trade balance of each country would be equal to zero. Under such con…

Efficient multigrid solvers for mixed-degree local discontinuous Galerkin multiphase Stokes problems
Robert I. Saye
https://arxiv.org/abs/2506.09933 https:…

Efficient multigrid solvers for mixed-degree local discontinuous Galerkin multiphase Stokes problems
We design and investigate efficient multigrid solvers for multiphase Stokes problems discretised via mixed-degree local discontinuous Galerkin methods. Using the template of a standard multigrid V-cycle, we develop a smoother analogous to element-wise block Gauss-Seidel, except the diagonal block inverses are replaced with an approximation that balances the smoothing of the velocity and pressure variables, factoring in the unequal scaling of the various Stokes system operators, and optimised vi…

Horrocks theorem for odd orthogonal groups
Ambily A A, Sugilesh H
https://arxiv.org/abs/2506.10360 https://arxiv.org/pdf/2506.10360…

Horrocks theorem for odd orthogonal groups
We prove Horrocks' theorem for the odd elementary orthogonal group, which gives a decomposition of an orthogonal matrix with entries from a polynomial ring $R[X]$, over a commutative ring $R$ in which 2 is invertible, as a product of an orthogonal matrix with entries in $R$ and an elementary orthogonal matrix with entries from $R[X]$.

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new/
[1/1]:
Phenomenological rate formulas for over-barrier ionization of hydrogen and helium atoms in strong...

Replaced article(s) found for math.AP. https://arxiv.org/list/math.AP/new/
[1/1]:
Non-radial Blow-up for a mass-critical fourth-order inhomogeneous nonlinear Schr\"odinger equation

Searching for radio pulses from radio-quiet gamma-ray pulsars with FAST
S. Q. Wang, S. Dai, N. Wang, A. Zic, G. Hobbs, D. Li, R. B. Ding, L. Peng, Z. C. Pan, S. B. Zhang
https://arxiv.org/abs/2506.10565

Searching for radio pulses from radio-quiet gamma-ray pulsars with FAST
We present periodicity and single-pulse searches at 1250 MHz for 22 radio-quiet gamma-ray pulsars, conducted using the Five-hundred-meter Aperture Spherical Radio Telescope (FAST). For PSR J1813$-$1246, we successfully detected pulsed signals with a spin period of 48.08 ms and a dispersion measure of 209.85 ${\rm pc cm^{-3}}$, consistent with the spin period measured at gamma-ray wavelengths. The estimated flux density is approximately 9 $μ$Jy. For the remaining 21 sources, no radio emission w…

Machine learning-based correlation analysis of decadal cyclone intensity with sea surface temperature: data and tutorial
Jingyang Wu, Rohitash Chandra
https://arxiv.org/abs/2506.09254

Machine learning-based correlation analysis of decadal cyclone intensity with sea surface temperature: data and tutorial
The rising number of extreme climate events in the past decades has motivated the need for a thorough consideration of tropical cyclone genesis and intensity, given the sea-surface temperature (SST). In this paper, we present an analysis of the relationship between the increasing global SST with cyclone genesis using linear regression machine learning models. We extract and curate a dataset of tropical cyclones across selected ocean basins with their associated SST over the past 40 years. We pr…

Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs
Greyson Brothers
https://arxiv.org/abs/2506.09215 https://arxiv.…

Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs
We investigate the design of pooling methods used to summarize the outputs of transformer embedding models, primarily motivated by reinforcement learning and vision applications. This work considers problems where a subset of the input vectors contains requisite information for a downstream task (signal) while the rest are distractors (noise). By framing pooling as vector quantization with the goal of minimizing signal loss, we demonstrate that the standard methods used to aggregate transformer…

[2025-06-13 Fri (UTC), 2 new articles found for math.KT K-Theory and Homology]
toXiv_bot_toot

Longitudinal weighted and trimmed treatment effects with flip interventions
Alec McClean, Alexander W. Levis, Nicholas Williams, Ivan Diaz
https://arxiv.org/abs/2506.09188

Longitudinal weighted and trimmed treatment effects with flip interventions
Weighting and trimming are popular methods for addressing positivity violations in causal inference. While well-studied with single-timepoint data, standard methods do not easily generalize to address non-baseline positivity violations in longitudinal data, and remain vulnerable to such violations. In this paper, we extend weighting and trimming to longitudinal data via stochastic ``flip'' interventions, which maintain the treatment status of subjects who would have received the target treatmen…

Evolution of QPO During Discovery Outburst of MAXI J1834-021: Estimation of Intrinsic Parameters from Spectro-Temporal Study
Dipak Debnath, Hsiang-Kuang Chang
https://arxiv.org/abs/2506.10267

Evolution of QPO During Discovery Outburst of MAXI J1834-021: Estimation of Intrinsic Parameters from Spectro-Temporal Study
The Galactic transient black hole candidate (BHC) MAXI~J1834-021 was detected for the first time by MAXI/GSC on February 05, 2023 and it was active for next $\sim 10$~months. A monotonic evolution of low-frequency QPOs from higher to lower frequencies is observed in the middle-phase of the outburst. We study this evolution of the QPO with the propagating oscillatory shock (POS) model, and it suggests the presence of a receding shock. The POS model fit also estimates the mass of the source to be…

[2025-06-12 Thu (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
toXiv_bot_toot

Replaced article(s) found for astro-ph.EP. https://arxiv.org/list/astro-ph.EP/new/
[1/1]:
Impact chronology of leftover planetesimals
…

Generative Models for Parameter Space Reduction applied to Reduced Order Modelling
Guglielmo Padula, Gianluigi Rozza
https://arxiv.org/abs/2506.09721 https…

Generative Models for Parameter Space Reduction applied to Reduced Order Modelling
Solving and optimising Partial Differential Equations (PDEs) in geometrically parameterised domains often requires iterative methods, leading to high computational and time complexities. One potential solution is to learn a direct mapping from the parameters to the PDE solution. Two prominent methods for this are Data-driven Non-Intrusive Reduced Order Models (DROMs) and Parametrised Physics Informed Neural Networks (PPINNs). However, their accuracy tends to degrade as the number of geometric p…

[2025-06-12 Thu (UTC), no new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
Hao Peng, Yunjia Qi, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
https://arxiv.org/abs/2506.09942 …

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
Reinforcement learning with verifiable rewards (RLVR) has become a key technique for enhancing large language models (LLMs), with verification engineering playing a central role. However, best practices for RL in instruction following remain underexplored. In this work, we explore the verification challenge in RL for instruction following and propose VerIF, a verification method that combines rule-based code verification with LLM-based verification from a large reasoning model (e.g., QwQ-32B). …

Gravitational Radiation-Driven Chaotic Tide in a White Dwarf-Massive Black Hole Binary as a Source of Repeating X-ray Transients
Shu Yan Lau, Hang Yu
https://arxiv.org/abs/2506.10163

Gravitational Radiation-Driven Chaotic Tide in a White Dwarf-Massive Black Hole Binary as a Source of Repeating X-ray Transients
Eccentric white dwarf-massive black hole binaries can potentially source some extreme X-ray transients, including the recently observed quasi-periodic X-ray eruptions and tidal disruption events at the galactic nuclei. Meanwhile, they are one of the target gravitational wave sources with extreme mass ratios for future millihertz gravitational wave missions. In this work, we focus on the tidal evolution and orbital dynamics of such binaries under the influence of the tidal backreaction and the d…

QPEs from EMRI Debris Streams Impacting Accretion Disks in Galactic Nuclei
Itai Linial, Brian D. Metzger, Eliot Quataert
https://arxiv.org/abs/2506.10096 h…

QPEs from EMRI Debris Streams Impacting Accretion Disks in Galactic Nuclei
Quasi-periodic eruption (QPE) sources in galactic nuclei are often associated with a stellar object orbiting a supermassive black hole with hours-days period, brought in as an extreme mass-ratio inspiral (EMRI). In the presence of an accretion disk, repeated star-disk collisions lead to ablation of a small fraction of the stellar mass during each disk passage. We analytically follow the evolution of the stellar debris as it is tidally stretched outside the EMRI's Hill sphere, forming an elongat…

Locating the QCD critical point with neutron-star observations
Christian Ecker, Niko Jokela, Matti J\"arvinen
https://arxiv.org/abs/2506.10065 https:/…

Locating the QCD critical point with neutron-star observations
We present a probabilistic model for the QCD critical endpoint (CEP) and the equation of state (EOS) at $β$-equilibrium, constrained by neutron-star observations. Using a hybrid framework that combines the holographic V-QCD model with an effective van der Waals description of nuclear matter, we generate a large ensemble of EOSs incorporating nuclear theory uncertainties. Constraining this ensemble with neutron-star mass-radius data and tidal deformability measurements from gravitational waves,…

Core-Corona Decomposition of Very Compact (Neutron) Stars: Accounting for Current Data of XTE J1814-338
Rico Z\"ollner, Burkhard K\"ampfer
https://arxiv.org/abs/2506.10032

Core-Corona Decomposition of Very Compact (Neutron) Stars: Accounting for Current Data of XTE J1814-338
A core-corona decomposition of compact (neutron) star models was compared with the current mass-radius data of the outlier XTE~J1814-338. The corona (which may also be dubbed the envelope, halo or outer crust) is assumed to be of Standard Model matter, with an equation of state that is supposed to be faithfully known and accommodates nearly all other neutron star data. The core, solely parameterized by its mass, radius and transition pressure, presents a challenge regarding its composition. We …

[2025-06-13 Fri (UTC), 9 new articles found for astro-ph.HE High Energy Astrophysical Phenomena]
toXiv_bot_toot

This https://arxiv.org/abs/2505.18132 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
Large vision models (LVM) based gait recognition has achieved impressive performance. However, existing LVM-based approaches may overemphasize gait priors while neglecting the intrinsic value of LVM itself, particularly the rich, distinct representations across its multi-layers. To adequately unlock LVM's potential, this work investigates the impact of layer-wise representations on downstream recognition tasks. Our analysis reveals that LVM's intermediate layers offer complementary properties a…

This https://arxiv.org/abs/2506.03978 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Structured Pruning for Diverse Best-of-N Reasoning Optimization
Model pruning in transformer-based language models, traditionally viewed as a means of achieving computational savings, can enhance the model's reasoning capabilities. In this work, we uncover a surprising phenomenon: the selective pruning of certain attention heads leads to improvements in reasoning performance, particularly on challenging tasks. Motivated by this observation, we propose SPRINT, a novel contrastive learning framework that dynamically selects the optimal head and layer to prune…

This https://arxiv.org/abs/2505.17132 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Robustifying Vision-Language Models via Dynamic Token Reweighting
Large vision-language models (VLMs) are highly vulnerable to jailbreak attacks that exploit visual-textual interactions to bypass safety guardrails. In this paper, we present DTR, a novel inference-time defense that mitigates multimodal jailbreak attacks through optimizing the model's key-value (KV) caches. Rather than relying on curated safety-specific data or costly image-to-text conversion, we introduce a new formulation of the safety-relevant distributional shift induced by the visual modal…

This https://arxiv.org/abs/2505.16809 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities
Existing methods for multimodal MRI segmentation with missing modalities typically assume that all MRI modalities are available during training. However, in clinical practice, some modalities may be missing due to the sequential nature of MRI acquisition, leading to performance degradation. Furthermore, retraining models to accommodate newly available modalities can be inefficient and may cause overfitting, potentially compromising previously learned knowledge. To address these challenges, we p…