Tootfinder

'fsadm' is a command line tool that can resize a filesystem and the underlying lvm or luks partition at the same time, for ext* and XFS. It avoids the need to remember to do the lvm lv resize, and the filesystem resize dance separately.
https://man7.org/linux/man-pages/man8/

Deep learning for flash drought forecasting and interpretation
Qian Zhao, Xuwei Tan, Xueru Zhang, Pierre Gentine, Yanlan Liu
https://arxiv.org/abs/2510.02576 https://

Deep learning for flash drought forecasting and interpretation
Flash droughts are increasingly occurring worldwide due to climate change, causing widespread socioeconomic and agricultural losses. However, timely and accurate flash drought forecasting remains challenging for operational forecast systems due to uncertain representations of interactive hydroclimate processes. Here, we introduce the Interpretable Transformer for Drought (IT-Drought), a deep learning model based on publicly available hydroclimate data. IT-Drought skillfully forecasts soil moist…

Replaced article(s) found for physics.hist-ph. https://arxiv.org/list/physics.hist-ph/new
[1/1]:
- Inconsistencies and errors in traditional approaches to energy in our introductory courses
Alvaro Suarez, Daniel Baccino, Arturo C. Marti, Martin Monteiro

[2025-10-06 Mon (UTC), 8 new articles found for cs.HC Human-Computer Interaction]
toXiv_bot_toot

The lattices $\textbf m\times\textbf 2$ and $\textbf m\times\textbf 3$ are not Schur positive
David G. L. Wang, K. Zhang
https://arxiv.org/abs/2510.03116 https://

The lattices $\textbf m\times\textbf 2$ and $\textbf m\times\textbf 3$ are not Schur positive
We prove that the lattices $\textbf m\times\textbf 2$ and $\textbf m\times\textbf 3$ are not Schur positive for $m\ge 8$. This confirms a conjecture of Li, Qiu, Yang, and Zhang, as an extension of counterexamples to a comment of Stanley on the universal Schur positivity of distributive lattices. Our main tools include Pieri's rules, and Wang and Wang's combinatorial formula for computing any Schur coefficient of the chromatic symmetric function of a graph in terms of special ribbon tabloids. We…

[2025-10-06 Mon (UTC), 8 new articles found for math.AG Algebraic Geometry]
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[2025-10-06 Mon (UTC), 8 new articles found for cs.IT Information Theory]
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[2025-10-06 Mon (UTC), 8 new articles found for cs.DS Data Structures and Algorithms]
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Evolutionary Map of the Universe: Detection of the Wolf-Rayet Star WR40
A. C. Bradley, Z. J. Smeaton, M. D. Filipovic, N. F. H. Tothill, R. Z. E. Alsaberi, J. D. Collier, Y. A. Gordon, A. M. Hopkins, H. Zakir
https://arxiv.org/abs/2510.02615

Evolutionary Map of the Universe: Detection of the Wolf-Rayet Star WR40
We present a radio-continuum detection of the well-known Wolf-Rayet star WR40 at 943.5 MHz using observations from the EMU survey. We find that the shell surrounding WR40, known as RCW 58, has a flux density of 158.9+/-15.8 mJy and the star itself is 0.41+/-0.04 mJy. The shell size is found to be 9' x 6', which matches well with the shell in Halpha and is similarly matched to the shell at 22 um in infrared. Using Gaia data, we derive a linear size of 7.32(+/-0.34) x 4.89(+/-0.23) pc at a distan…

Holographic Gaseous Lenses for High-Power Lasers
Devdigvijay Singh, Ke Ou, Sida Cao, Victor M. Perez-Ramirez, Harsha Rajesh, Debolina Chakraborty, Caleb Redshaw, Pelin Dedeler, Albertine Oudin, Michelle M. Wang, Julia M. Mikhailova, Livia Lancia, Caterina Riconda, Pierre Michel, Matthew R. Edwards
https://arxiv.org/abs/2510.02659

Holographic Gaseous Lenses for High-Power Lasers
The capabilities of the world's highest energy and peak-power pulsed lasers are limited by optical damage, and further advances in high-intensity laser science will require optics that are substantially more robust than existing components. We describe here the experimental demonstration of off-axis diffractive gaseous lenses capable of withstanding extreme laser fluence and immune to cumulative damage. We used less than 8 mJ of energy from interfering ultraviolet laser pulses to holographicall…

From Local Earthquake Nowcasting to Natural Time Forecasting: A Simple Do-It-Yourself (DIY) Method
John B Rundle, Ian Baughman, Andrea Donnellan, Lisa Grant, Geoffrey Fox
https://arxiv.org/abs/2510.02467

From Local Earthquake Nowcasting to Natural Time Forecasting: A Simple Do-It-Yourself (DIY) Method
Previous papers have outlined nowcasting methods to track the current state of earthquake hazard using only observed seismic catalogs. The basis for one of these methods, the "counting method", is the Gutenberg-Richter (GR) magnitude-frequency relation. The GR relation states that for every large earthquake of magnitude greater than MT , there are on average NGR small earthquakes of magnitude MS. In this paper we use this basic relation, combined with the Receiver Operating Characteristic (ROC)…

Crosslisted article(s) found for physics.hist-ph. https://arxiv.org/list/physics.hist-ph/new
[1/1]:
- Comment on Marek Czachor article entitled "On Relativity of Quantumness as Implied by Relativity ...
Krzysztof Sienicki, Miko{\l}aj Sienicki

Observation of long-range collective flow in OO and NeNe collisions and implications for nuclear structure studies
CMS Collaboration
https://arxiv.org/abs/2510.02580 https://

Observation of long-range collective flow in OO and NeNe collisions and implications for nuclear structure studies
The long-range collective flow of particles produced in oxygen-oxygen (OO) and neon-neon (NeNe) collisions is measured with the CMS detector at the CERN LHC. The data samples were collected at a center-of-mass energy per nucleon pair of 5.36 TeV, with integrated luminosities of 7 nb$^{-1}$ and 0.8 nb$^{-1}$ for OO and NeNe collisions, respectively. Two- and four-particle azimuthal correlations are measured over nearly five units of pseudorapidity. Significant elliptic ($v_2$) and triangular ($v…

Highly-Linear Proximity-Based Bi-SQUID Operating above 4 K
G. Trupiano, E. Riccardi, C. Puglia, M. Kiczynski, A. Gardin, G. De Simoni, G. C. Tettamanzi, F. Giazotto
https://arxiv.org/abs/2510.02923

Highly-Linear Proximity-Based Bi-SQUID Operating above 4 K
We demonstrate a highly linear superconducting quantum interference device (SQUID) amplifier based on a double-loop (Bi-SQUID) architecture incorporating three superconductor-normal metal-superconductor (S-N-S) junctions. Fabricated using niobium-gold technology, the device exhibits robust operation at liquid helium temperatures, with a superconducting transition temperature of 8.5 K. The flux-to-voltage transfer function demonstrates sharp, symmetric, and highly linear behavior at temperatures…

[2025-10-06 Mon (UTC), 2 new articles found for physics.geo-ph Geophysics]
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An account of the arrow of time when scale is surplus
Sean Gryb, Simon Friederich
https://arxiv.org/abs/2510.03041 https://arxiv.org/pdf/2510.03041

An account of the arrow of time when scale is surplus
Existing accounts of the cosmological arrow of time face a dilemma: generalist approaches that posit time-asymmetric laws lack independent motivation, while particularist approaches that invoke a Past Hypothesis face serious conceptual and explanatory problems. We propose a novel account that dispenses with the need for both time-asymmetric laws and a Past Hypothesis. Instead, it is centred around a symmetry argument that reveals attractors and so-called 'Janus points'. The main idea is that th…

[2025-10-06 Mon (UTC), 1 new article found for physics.hist-ph History and Philosophy of Physics]
toXiv_bot_toot

Week 8 winners and losers: Taylor and Cook deliver; CMC and Robinson fall flat https://www.espn.com/fantasy/football/story/_/page/FFSundayHighLows-46735684/nfl-week-8-fantasy-football-winners-losers-inju…

Week 8 inactives: With injuries and bye-mageddon, who can you start at QB this week? https://www.espn.com/fantasy/football/story/_/page/FFSundayInactives-46695659/nfl-fantasy-football-espn-in…

Cries for help from our dying local newspaper:
Due to external issues we have been unable to produce a 16 page newspaper and have had to make the tough decision to go down in our regular page count from two 8 page sections, to 12 pages yesterday, and 10 pages in today's edition.

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[8/8]:
- TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores
Liao, Ding, Cui, Gong, Hu, Wang, Li, Zhang, Wang, Fu

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[8/8]:
- Online Rubrics Elicitation from Pairwise Comparisons
Rezaei, Vacareanu, Wang, Wang, Liu, He, Aky\"urek

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/8]:
- Multimodal Policy Internalization for Conversational Agents
Wang, Liu, Fazel, Sarkhel, Fan, Li, Guo, Ji, Sarikaya

The Proxmox cluster upgrade from 8.4 -> 9 went very, very smoothly. Got all of the `pve8to9` warnings handled, and had no issues with migrations to keep all of the VMs up and running. Overall pretty painless.
#proxmox9 #proxmox

A census of quiescent galaxies across $0.5 < z < 8$ with JWST/MIRI: Mass-dependent number density evolution of quiescent galaxies in the early Universe
Tiancheng Yang, Tao Wang, Ke Xu, Hanwen Sun, Luwenjia Zhou, Lizhi Xie, Gabriella De Lucia, Claudia del P. Lagos, Kai Wang, Fabio Fontanot, Yuxuan Wu, Shiying Lu, Longyue Chen, Michaela Hirschmann
https://

A census of quiescent galaxies across $0.5 < z < 8$ with JWST/MIRI: Mass-dependent number density evolution of quiescent galaxies in the early Universe
JWST observations reveal numerous quiescent galaxies (QGs) at high redshift ($z \sim 4-8$), challenging models of early galaxy formation and quenching. Accurate number density estimates are crucial for comparison with theory but remain uncertain. We systematically study QGs at $0.5 < z < 8$ using a mass-complete sample from the JWST/PRIMER survey with deep NIRCam and MIRI imaging. The MIRI data, probing rest-frame near-infrared at $z \sim 3-8$, are vital for robust stellar mass measurement and …

[2025-10-15 Wed (UTC), 8 new articles found for cs.LO Logic in Computer Science]
toXiv_bot_toot

Phase Aware Ear-Conditioned Learning for Multi-Channel Binaural Speaker Separation
Ruben Johnson Robert Jeremiah, Peyman Goli, Steven van de Par
https://arxiv.org/abs/2510.11366

Phase Aware Ear-Conditioned Learning for Multi-Channel Binaural Speaker Separation
Separating competing speech in reverberant environments requires models that preserve spatial cues while maintaining separation efficiency. We present a Phase-aware Ear-conditioned speaker Separation network using eight microphones (PEASE-8) that consumes complex STFTs and directly introduces a raw-STFT input to the early decoder layer, bypassing the entire encoder pathway to improve reconstruction. The model is trained end-to-end with an SI-SDR-based objective against direct-path ear targets, …

On irreducibility of certain low dimensional automorphic Galois representations
Boyi Dai
https://arxiv.org/abs/2510.12496 https://arxiv.org/pdf/2510.12496

On irreducibility of certain low dimensional automorphic Galois representations
We study irreducibility of Galois representations $ρ_{π,λ}$ associated to a $n=7$ or 8-dimensional regular algebraic essentially self-dual cuspidal automorphic representation $π$ of $\text{GL}_n(\mathbb{A}_\mathbb{Q})$. We show $ρ_{π,λ}$ is irreducible for all but finitely many $λ$ under the following extra conditions. (i) If $n=7$, and there exists no $λ$ such that the Lie type of $ρ_{π,λ}$ is the standard representation of exceptional group $\textbf{G}_2$. (ii) If $n=8$, and when …

Black-hole X-ray binary Swift J1727.8$-$1613 shows Type-B quasi-periodic oscillations across the hard-intermediate and soft-intermediate states
Pei Jin, Mariano M\'endez, Federico Garc\'ia, Diego Altamirano, Federico M. Vincentelli
https://arxiv.org/abs/2510.10353

Black-hole X-ray binary Swift J1727.8$-$1613 shows Type-B quasi-periodic oscillations across the hard-intermediate and soft-intermediate states
We present a timing analysis of \textit{Insight}-HXMT observations of the black-hole X-ray binary Swift J1727.8$-$1613 across a bright soft X-ray flare on 2023 September 19 (MJD 60206). At the peak of the flare, the source undergoes a brief transition from the hard-intermediate state (HIMS) into the soft-intermediate state (SIMS), marked by the simultaneous appearance of three discrete radio jet ejections, a drop in broadband noise in the 2$-$10 keV band, and the presence of a narrow quasi-peri…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[8/9]:
- VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization
Menglan Chen, Xianghe Pang, Jingjing Dong, WenHao Wang, Yaxin Du, Siheng Chen

Rankings for Week 8 https://www.espn.com/fantasy/football/story/_/page/FFWeeklyPlayerRank25main-46028352/fantasy-football-rankings-2025-nfl-week-qb-rb-wr-te-dst

LAMOST J064137.77 045743.8: A New Binary of an A7-type Pulsating Subgiant and an M-type Red Dwarf
Yanhui Chen, Chaomi Duan, Baokun Sun
https://arxiv.org/abs/2510.10164 https://

LAMOST J064137.77+045743.8: A New Binary of an A7-type Pulsating Subgiant and an M-type Red Dwarf
With the progressive release of data from numerous sky surveys, humanity has entered the era of astronomical big data. Multi-wavelength, multi-method research is playing an increasingly crucial role. Binaries account for a substantial fraction of all stellar systems and research into binaries is of fundamental importance. LAMOST J064137.77+045743.8 has not yet been recorded in the SIMBAD astronomical database. We conducted a comprehensive analysis of LAMOST J064137.77+045743.8 using multi-band …

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[8/8]:
- FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medica...
Prajit Sengupta, Islem Rekik

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/8]:
- To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
Luo, Fan, Wang, He, Rahman, Abolmaesumi, Sigal

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[7/8]:
- MultiCOIN: Multi-Modal COntrollable Video INbetweening
Tanveer, Zhou, Niklaus, Amiri, Zhang, Singh, Zhao

Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- Stimulus Modality Matters: Impact of Perceptual Evaluations from Different Modalities on Speech E...
Huang-Cheng Chou, Haibin Wu, Hung-yi Lee, Chi-Chun Lee

Probing spectral variability in NGC 4490 ULX-8 over 24 years of XMM-Newton, Chandra and Swift-XRT observations
Tarang Vashisht, Aru Beri, Tanuman Ghosh, Aman Upadhyay, Vikram Rana
https://arxiv.org/abs/2510.11415

Probing spectral variability in NGC 4490 ULX-8 over 24 years of XMM-Newton, Chandra and Swift-XRT observations
We present comprehensive spectral and timing results of 14 Chandra, 6 XMM-Newton and 19 Swift-XRT observations of the ultraluminous X-ray source NGC 4490 ULX-8, spanning from 2000 to 2024. We model the source spectra using absorbed power-law and absorbed multicolour disc blackbody models. The best-fit photon indices span 0.92-2.68, with typical uncertainties ranging from $\pm$0.1 to $\pm$1 depending on data quality. The inner disk temperature range from 0.97 to 1.69 keV, consistent with blackbo…

NGTS-EB-8: A double-lined eclipsing M M binary discovered by citizen scientists
Sean M. O'Brien, Megan E. Schwamb, Christopher A. Watson, Louise D. Nielsen, Edward M. Bryant, Sarah L. Casewell, Matthew R. Burleigh, Lucy Fortson, Samuel Gill, Chris J. Lintott, Katlyn L. Hobbs, Ioannis Apergis, Daniel Bayliss, Jorge Fern\'andez Fern\'andez, Maximilian N. G\"unther, Faith Hawthorn, James S. Jenkins, Alicia Kendall, James McCormac, Ernst J. W. de Mooij, Toby Rodel, Suman S…

NGTS-EB-8: A double-lined eclipsing M+M binary discovered by citizen scientists
We report the identification and characterization of a new binary system composed of two near-equal mass M-dwarfs. The binary NGTS-EB-8 was identified as a planet candidate in data from the Next Generation Transit Survey (NGTS) by citizen scientists participating in the Planet Hunters NGTS project. High-resolution spectroscopic observations reveal the system to be a double-lined binary. By modeling the photometric and radial velocity observations, we determine an orbital period of 4.2 days and …

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[8/14]:
- Early-Warning of Thunderstorm-Driven Power Outages with a Two-Stage Machine Learning Model
Iryna Stanishevska

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[6/8]:
- GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing Reasoning
Mustansar Fiaz, Hiyam Debary, Paolo Fraccaro, Danda Paudel, Luc Van Gool, Fahad Khan, Salman Khan

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/8]:
- Benchmarking LLM Causal Reasoning with Scientifically Validated Relationships
Lee, Park, Hwang, Oh, Kim, Kim, Cha, Park, Kim

Crosslisted article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- Serial-Parallel Dual-Path Architecture for Speaking Style Recognition
Guojian Li, Qijie Shao, Zhixian Zhao, Shuiyuan Wang, Zhonghua Fu, Lei Xie

[2025-12-18 Thu (UTC), 1 new article found for physics.geo-ph Geophysics]
toXiv_bot_toot

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[5/8]:
- Context Guided Transformer Entropy Modeling for Video Compression
Junlong Tong, Wei Zhang, Yaohui Jin, Xiaoyu Shen

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/14]:
- From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement...
David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan

Modeling Student Learning with 3.8 Million Program Traces
Alexis Ross, Megha Srivastava, Jeremiah Blanchard, Jacob Andreas
https://arxiv.org/abs/2510.05056 https://

Modeling Student Learning with 3.8 Million Program Traces
As programmers write code, they often edit and retry multiple times, creating rich "interaction traces" that reveal how they approach coding tasks and provide clues about their level of skill development. For novice programmers in particular, these traces reflect the diverse reasoning processes they employ to code, such as exploratory behavior to understand how a programming concept works, re-strategizing in response to bugs, and personalizing stylistic choices. In this work, we explore what ca…

I-DCCRN-VAE: An Improved Deep Representation Learning Framework for Complex VAE-based Single-channel Speech Enhancement
Jiatong Li, Simon Doclo
https://arxiv.org/abs/2510.12485 …

I-DCCRN-VAE: An Improved Deep Representation Learning Framework for Complex VAE-based Single-channel Speech Enhancement
Recently, a complex variational autoencoder (VAE)-based single-channel speech enhancement system based on the DCCRN architecture has been proposed. In this system, a noise suppression VAE (NSVAE) learns to extract clean speech representations from noisy speech using pretrained clean speech and noise VAEs with skip connections. In this paper, we improve DCCRN-VAE by incorporating three key modifications: 1) removing the skip connections in the pretrained VAEs to encourage more informative speech…

Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- The EEPAS Model Revisited: Statistical Formalism and a High-Performance, Reproducible Open-Source...
Szu-Chi Chung, Chien-Hong Cho, Strong Wen

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[4/8]:
- Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization
Yanting Gao, Yepeng Liu, Junming Liu, Qi Zhang, Hongyun Zhang, Duoqian Miao, Cairong Zhao

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/17]:
- MatryoshkaThinking: Recursive Test-Time Scaling Enables Efficient Reasoning
Chen, Lei, Zhang, Ke, Zhu, Chen, Lu, Huang, Feng, He, Sun, Wu, Wang

A Phase Synthesizer for Decorrelation to Improve Acoustic Feedback Cancellation
Klaus Linhard, Philipp Bulling
https://arxiv.org/abs/2510.12377 https://arx…

A Phase Synthesizer for Decorrelation to Improve Acoustic Feedback Cancellation
Undesired acoustic feedback is a known issue in communication systems, such as speech in-car communication, public address systems, or hearing aids. Without additional precautions, there is a high risk that the adaptive filter - intended to cancel the feedback path - also suppresses parts of the desired signal. One solution is to decorrelate the loudspeaker and microphone signals. In this work, we combine the two decorrelation approaches frequency shifting and phase modulation in a unified fram…

[2025-10-15 Wed (UTC), no new articles found for physics.hist-ph History and Philosophy of Physics]
toXiv_bot_toot

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[7/8]:
- System Prompt Optimization with Meta-Learning
Yumin Choi, Jinheon Baek, Sung Ju Hwang

Seesaw of Saltwater and Inundation Drives Methane Emissions in Coastal Tidal Wetlands
Xun Cai, Xiucheng Yang, Peter A. Raymond
https://arxiv.org/abs/2512.14076 https://

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[3/8]:
- Learning to Instruct for Visual Instruction Tuning
Zhihan Zhou, Feng Hong, Jiaan Luo, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang

DeePAQ: A Perceptual Audio Quality Metric Based On Foundational Models and Weakly Supervised Learning
Guanxin Jiang, Andreas Brendel, Pablo M. Delgado, J\"urgen Herre
https://arxiv.org/abs/2510.12326

DeePAQ: A Perceptual Audio Quality Metric Based On Foundational Models and Weakly Supervised Learning
This paper presents the Deep learning-based Perceptual Audio Quality metric (DeePAQ) for evaluating general audio quality. Our approach leverages metric learning together with the music foundation model MERT, guided by surrogate labels, to construct an embedding space that captures distortion intensity in general audio. To the best of our knowledge, DeePAQ is the first in the general audio quality domain to leverage weakly supervised labels and metric learning for fine-tuning a music foundation…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/8]:
- A public cardiac CT dataset featuring the left atrial appendage
Bjoern Hansen, Jonas Pedersen, Klaus F. Kofoed, Oscar Camara, Rasmus R. Paulsen, Kristine Soerensen

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[6/8]:
- K-ASTRO: Structure-Aware Adaptation of LLMs for Code Vulnerability Detection
Yifan Zhang, Michael Sandborn, Stefan Larson, Yu Huang, Kevin Leach

A Generalized Formulation for Accurate and Robust Determination of Soil Shear Strength from Triaxial Tests
Altamirano-Mu\~niz Emilio Fernando
https://arxiv.org/abs/2512.13985 ht…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/8]:
- Multimodal Alignment and Fusion: A Survey
Songtao Li, Hao Tang
https://

DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation
Yakun Song, Xiaobin Zhuang, Jiawei Chen, Zhikang Niu, Guanrou Yang, Chenpeng Du, Zhuo Chen, Yuping Wang, Yuxuan Wang, Xie Chen
https://arxiv.org/abs/2510.12210

DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation
Recent attempts to interleave autoregressive (AR) sketchers with diffusion-based refiners over continuous speech representations have shown promise, but they remain brittle under distribution shift and offer limited levers for controllability. We introduce DISTAR, a zero-shot text-to-speech framework that operates entirely in a discrete residual vector quantization (RVQ) code space and tightly couples an AR language model with a masked diffusion model, without forced alignment or a duration pre…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/8]:
- Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Genera...
Wu, Gao, Shi, Li, Xu, Zhang, Zhu, Wang, Luo, Wang, Wu, Huang

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/8]:
- A Model-Driven Engineering Approach to AI-Powered Healthcare Platforms
Mira Raheem, Amal Elgammal, Michael Papazoglou, Bernd Kr\"amer, Neamat El-Tazi

Seismic wave propagation in viscoelastic media under Atangana-Baleanu fractional dynamics: Model formulation and numerical simulations
Taylan Demir, Atakan Ko\c{c}yi\u{g}it
https://arxiv.org/abs/2512.13897

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/8]:
- Invariant Feature Learning for Generalized Long-Tailed Classification
Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang

FakeMark: Deepfake Speech Attribution With Watermarked Artifacts
Wanying Ge, Xin Wang, Junichi Yamagishi
https://arxiv.org/abs/2510.12042 https://arxiv.org…

FakeMark: Deepfake Speech Attribution With Watermarked Artifacts
Deepfake speech attribution remains challenging for existing solutions. Classifier-based solutions often fail to generalize to domain-shifted samples, and watermarking-based solutions are easily compromised by distortions like codec compression or malicious removal attacks. To address these issues, we propose FakeMark, a novel watermarking framework that injects artifact-correlated watermarks associated with deepfake systems rather than pre-assigned bitstring messages. This design allows a dete…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/8]:
- Latent Variable Modeling in Multi-Agent Reinforcement Learning via Expectation-Maximization for U...
Mazyar Taghavi, Rahman Farnoosh

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/8]:
- On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Ri...
Zhi Yang, Changwu Huang, Ke Tang, Xin Yao

[2025-12-17 Wed (UTC), 3 new articles found for physics.geo-ph Geophysics]
toXiv_bot_toot

[2025-10-15 Wed (UTC), 5 new articles found for eess.AS Audio and Speech Processing]
toXiv_bot_toot

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/8]:
- EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework
Chen Wang, Lai Wei, Yanzhi Zhang, Chenyang Shao, Zedong Dan, Weiran Huang, Yuzhi Zhang, Yue Wang

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/8]:
- A Human Behavioral Baseline for Collective Governance in Software Projects
Mobina Noori, Mahasweta Chakraborti, Amy X Zhang, Seth Frey

Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Differentiable Land Model Reveals Global Environmental Controls on Ecological Parameters
Jianing Fang, Kevin Bowman, Wenli Zhao, Xu Lian, Pierre Gentine

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/8]:
- Aggregation on Learnable Manifolds for Asynchronous Federated Optimization
Archie Licudi, Anshul Thakur, Soheila Molaei, Danielle Belgrave, David Clifton

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/8]:
- D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition
Yiyang Huang, Yizhou Wang, Yun Fu

ILD-VIT: A Unified Vision Transformer Architecture for Detection of Interstitial Lung Disease from Respiratory Sounds
Soubhagya Ranjan Hota, Arka Roy, Udit Satija
https://arxiv.org/abs/2510.11458

ILD-VIT: A Unified Vision Transformer Architecture for Detection of Interstitial Lung Disease from Respiratory Sounds
Interstitial lung disease (ILD) represents a group of restrictive chronic pulmonary diseases that impair oxygen acquisition by causing irreversible changes in the lungs such as fibrosis, scarring of parenchyma, etc. ILD conditions are often diagnosed by various clinical modalities such as spirometry, high-resolution lung imaging techniques, crackling respiratory sounds (RSs), etc. In this letter, we develop a novel vision transformer (VIT)-based deep learning framework namely, ILD-VIT, to detec…

Crosslisted article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone
Yihan Wang, Annan Yu, Lujun Zhang, Charuleka Varadharajan, N. Benjamin Erichs…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/8]:
- From Contextual Data to Newsvendor Decisions: On the Actual Performance of Data-Driven Algorithms
Omar Besbes, Will Ma, Omar Mouchtaki

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/8]:
- RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution
Aofan Liu, Haoxuan Li, Bin Wang, Ao Yang, Hui Li

Dynamically Slimmable Speech Enhancement Network with Metric-Guided Training
Haixin Zhao, Kaixuan Yang, Nilesh Madhu
https://arxiv.org/abs/2510.11395 https://

Dynamically Slimmable Speech Enhancement Network with Metric-Guided Training
To further reduce the complexity of lightweight speech enhancement models, we introduce a gating-based Dynamically Slimmable Network (DSN). The DSN comprises static and dynamic components. For architecture-independent applicability, we introduce distinct dynamic structures targeting the commonly used components, namely, grouped recurrent neural network units, multi-head attention, convolutional, and fully connected layers. A policy module adaptively governs the use of dynamic parts at a frame-w…

Correcting exponentiality test for binned earthquake magnitudes
Angela Stallone, Ilaria Spassiani
https://arxiv.org/abs/2512.13599 https://arxiv.org/pdf/25…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/8]:
- Centering Emotion Hotspots: Multimodal Local-Global Fusion and Cross-Modal Alignment for Emotion ...
Yu Liu, Hanlei Shi, Haoxun Li, Yuqing Sun, Yuxuan Ding, Linlin Gong, Leyuan Qu, Taihao Li

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[8/8]:
- Unsupervised Active Learning via Natural Feature Progressive Framework
Yuxi Liu, Catherine Lalman, Yimin Yang

Enhancing lithological interpretation from petrophysical well log of IODP expedition 390/393 using machine learning
Raj Sahu, Saumen Maiti
https://arxiv.org/abs/2512.13529 https…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/8]:
- Deep Multimodal Subspace Clustering Networks
Mahdi Abavisani, Vishal M. Patel
ht…

MicroPhaseNO: Adapting an Earthquake-Trained Phase Neural Operator for Microseismic Phase Picking
Ayrat Abdullin, Umair bin Waheed, Leo Eisner, Naveed Iqbal
https://arxiv.org/abs/2512.13197

Assessment Of Selected Trace Elements Concentration in Eleyele Lake-Water, Ibadan South Western Nigeria
Ifeoluwa Oluwatosin Kunle-John, Segun P. Michaels, Edith N. Okay
https://arxiv.org/abs/2512.13189

Nonlinear seismic amplitude versus offset inversion using the exact Zoeppritz equation
Wiktor Waldemar Weibull, Nisar Ahmed
https://arxiv.org/abs/2512.13172 https://

The EEPAS Model Revisited: Statistical Formalism and a High-Performance, Reproducible Open-Source Framework
Szu-Chi Chung, Chien-Hong Cho, Strong Wen
https://arxiv.org/abs/2512.13064

Diffusion Model-Based Posterior Sampling in Full Waveform Inversion
Mohammad H. Taufik, Tariq Alkhalifah
https://arxiv.org/abs/2512.12797 https://arxiv.org…

Bayesian Full-waveform Monitoring of CO2 Storage with Fluid-flow Priors via Generative Modeling
Haipeng Li, Nanzhe Wang, Louis J. Durlofsky, Biondo L. Biondi
https://arxiv.org/abs/2512.12482

SoilGen: A Comprehensive Tool for Generating Synthetic Soil Profiles for Geotechnical and Seismic Analysis
Mersad Fathizadeh, Hosna Kianfar
https://arxiv.org/abs/2512.12429 http…

[2025-12-16 Tue (UTC), 9 new articles found for physics.geo-ph Geophysics]
toXiv_bot_toot

Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Satellite observations reveal shorter periodic inner core oscillation
Yachong An, Hao Ding, Fred D. Richards, Weiping Jiang, Jiancheng Li, Wenbin Shen

Crosslisted article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Chaotic variability in a model of coupled ice streams
Kolja Kypke, Peter Ashwin, Peter Ditlevsen

Quantifying the form-flow-saltation dynamics of aeolian sand ripples
J. M. Nield, M. C. Baddock, G. F. S. Wiggs, J. Best, K. T. Christensen, P. Delorme, A. Valdez, N. R. Bristow, M. H. T. Hipondoka, D. P. Goss, N. S. Wallum, P. Claudin
https://arxiv.org/abs/2510.11876

Quantifying the form-flow-saltation dynamics of aeolian sand ripples
Ripples are the most fundamental and ubiquitous aeolian bedforms formed on sandy surfaces, but their small size and fast response times make them inherently difficult to measure. However, these attributes also make ripples excellent flow indicators, and they have been used extensively in planetary locations for this purpose. Here, we use terrestrial laser scanning to measure ripple morphometry and celerity coincidently, as well as saltation height above rippled surfaces. We find that although r…

[2025-10-15 Wed (UTC), 1 new article found for physics.geo-ph Geophysics]
toXiv_bot_toot

Crosslisted article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Dynamics of motions and deformations of an arbitrary geometry flexural floe in ocean waves
Andrei Ludu

Machine-learned global glacier ice volumes
N. Maffezzoli, E. Rignot, C. Barbante, M. Morlighem, T. Petersen, S. Vascon
https://arxiv.org/abs/2512.11685 https://

Physics-Informed Cross-Learning for Seismic Acoustic Impedance Inversion and Wavelet Extraction
Junheng Peng, Xiaowen Wang, Yingtian Liu, Yong Li, Mingwei Wang
https://arxiv.org/abs/2512.11521