Tootfinder

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

WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
Daniel Brubaker, William Sheffield, Junyi Jessy Li, Kanishka Misra
https://arxiv.org/abs/2510.09556

WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
The role of world knowledge has been particularly crucial to predict the discourse connective that marks the discourse relation between two arguments, with language models (LMs) being generally successful at this task. We flip this premise in our work, and instead study the inverse problem of understanding whether discourse connectives can inform LMs about the world. To this end, we present WUGNECTIVES, a dataset of 8,880 stimuli that evaluates LMs' inferences about novel entities in contexts w…

Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- Iola Walker: A Mobile Footfall Detection System for Music Composition
William B. James

[2025-10-13 Mon (UTC), 1 new article found for physics.geo-ph Geophysics]
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Two Types of Natural Kind Discovery: Nobel Meets Kuhn
Samuel Schindler
https://arxiv.org/abs/2510.09069 https://arxiv.org/pdf/2510.09069

Two Types of Natural Kind Discovery: Nobel Meets Kuhn
Philosophers have spilled much ink over the discovery of ideas in the classical 'context of discovery'. However, there has been little engagement with the question of what constitutes a discovery of 'things in the world'. A much-overlooked answer to this question is provided by T.S. Kuhn. In this paper, I show that discoveries awarded with a Nobel Prize in Physics in the past 53 years accord with a basic premise of Kuhn's account and his distinction between two types of natural kind discoveries…

[2025-10-13 Mon (UTC), 8 new articles found for stat.ML Machine Learning]
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Passivation-Free Ga-Polar AlGaN/GaN Recessed-Gate HEMTs on Sapphire with 2.8 W/mm POUT and 26.8% PAE at 94 GHz
Ruixin Bai, Swarnav Mukhopadhyay, Michael Elliott, Ryan Gilbert, Jiahao Chen, Rafael A. Choudhury, Kyudong Kim, Yu-Chun Wang, Ahmad E. Islam, Andrew J. Green, Shubhra S. Pasayat, Chirag Gupta
https://arxiv.org/abs/2510.08933

Passivation-Free Ga-Polar AlGaN/GaN Recessed-Gate HEMTs on Sapphire with 2.8 W/mm POUT and 26.8% PAE at 94 GHz
In this work, we demonstrate a passivation-free Ga-polar recessed-gate AlGaN/GaN HEMT on a sapphire substrate for W-band operation, featuring a 5.5 nm Al0.35Ga0.65N barrier under the gate and a 31 nm Al0.35Ga0.65N barrier in the gate access regions. The device achieves a drain current density of 1.8 A/mm, a peak transconductance of 750 mS/mm, and low gate leakage with a high on/off ratio of 10^7. Small-signal characterization reveals a current-gain cutoff frequency of 127 GHz and a maximum osci…

[2025-10-13 Mon (UTC), 8 new articles found for math.AG Algebraic Geometry]
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Further Investigation on Cyclotomic Mapping Permutation Polynomials over Finite Fields
Suman Mondal
https://arxiv.org/abs/2510.08760 https://arxiv.org/pdf/…

Further Investigation on Cyclotomic Mapping Permutation Polynomials over Finite Fields
We explore the connection between cyclotomic mapping permutation polynomials and permutation polynomials of the form $x^rf(x^{\frac{q-1}{l}})$ over finite fields. We present a new necessary and a new sufficient condition to verify permutation behavior of such polynomials over finite field. As its application, for particular values of $r$, we point out some permutation trinomials of the form $P(x)=2x^{r+8}+x^{r+4}+2x^r \in \mathbb{F}_{13}[x]$, and work on few classes of permutation binomials.

A study of 80 known pulsars at 185 MHz using MWA incoherent drift-scan observations
Ting Yu, Hongyu Gong, Zhifu Gao, Zhongli Zhang, Zhigang Wen, Yujie Wang, Tao An
https://arxiv.org/abs/2510.09046

A study of 80 known pulsars at 185 MHz using MWA incoherent drift-scan observations
A systematic study of 80 known pulsars observed at 185 MHz has been conducted using archival incoherent-sum data from the Murchison Widefield Array (MWA). The dataset comprises 48 drift-scan observations from the MWA Voltage Capture System, covering approximately 30,000 square degrees of sky with sensitivities reaching about 8 mJy in the deepest regions. An optimized PRESTO-based search pipeline was deployed on the China SKA Regional Centre infrastructure. This enabled the detection of 80 known…

[2025-10-13 Mon (UTC), 8 new articles found for math.NA Numerical Analysis]
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Effect of stochastic kicks on primordial black hole abundance and mass via the compaction function
Sami Raatikainen, Syksy Rasanen, Eemeli Tomberg
https://arxiv.org/abs/2510.09303

Effect of stochastic kicks on primordial black hole abundance and mass via the compaction function
We study stochastic effects in viable ultra-slow-roll inflation models that produce primordial black holes. We consider asteroid, solar, and supermassive black hole seed masses. In each case, we simulate $10^8$ patches of the universe that may collapse into PBHs. In every patch, we follow $4\times10^4$ momentum shells to construct its spherically symmetric profile from first principles, without introducing a window function. We include the effects of critical collapse and the radiation era tran…

Configurational Entropy-Driven Phase Stability and Thermal Transport in Rock-Salt High-Entropy Oxides
Ashutosh Kumar, Adrien Moll, Jitendra Kumar, Diana Dragoe, David B\'erardan, Nita Dragoe
https://arxiv.org/abs/2510.09342

Configurational Entropy-Driven Phase Stability and Thermal Transport in Rock-Salt High-Entropy Oxides
High-entropy oxides (HEOs) offer a unique platform for exploring the thermodynamic interaction between configurational entropy and enthalpy in stabilizing complex solid solutions. In this study, a series of rock-salt structured oxides with varying configurational entropy, ranging from binary to multi-cation systems, to elucidate the competing roles of enthalpy and entropy in phase stabilization is investigated. Compositions including (Ni$_{0.8}$Cu$_{0.2}$)O to(NiCuZnCoMg)$_{0.9}$A$_{0.1}$O (A =…

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

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

Crosslisted article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection
Chou, Jajal, Eliopoulos, Davis, Thiruvathukal, Yun, Lu

[2025-10-13 Mon (UTC), 1 new article found for physics.hist-ph History and Philosophy of Physics]
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Who gets hit first and who recovers last? Evidence from Indian Coastal Flood Shock
Jheelum Sarkar
https://arxiv.org/abs/2510.08856 https://arxiv.org/pdf/25…

Who gets hit first and who recovers last? Evidence from Indian Coastal Flood Shock
Catastrophic floods directly risk 1.8 billion lives worldwide, most of whom are from East and South Asia. How do extreme floods reshape paid labor outcomes? To answer this, I focus on a 1-in-100 year flood event in India. I first combine Sentinel-1 SAR with JRC Global Surface Water dataset to generate flood map. Using information from this map in various rounds of periodic labor force surveys, I estimate gender-specific dynamic effects of the flood shock. Key results show that men experienced s…

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

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

Spatially-Augmented Sequence-to-Sequence Neural Diarization for Meetings
Li Li, Ming Cheng, Hongyu Zhang, Juan Liu, Ming Li
https://arxiv.org/abs/2510.09505 https://

Spatially-Augmented Sequence-to-Sequence Neural Diarization for Meetings
This paper proposes a Spatially-Augmented Sequence-to-Sequence Neural Diarization (SA-S2SND) framework, which integrates direction-of-arrival (DOA) cues estimated by SRP-DNN into the S2SND backbone. A two-stage training strategy is adopted: the model is first trained with single-channel audio and DOA features, and then further optimized with multi-channel inputs under DOA guidance. In addition, a simulated DOA generation scheme is introduced to alleviate dependence on matched multi-channel corp…

Replaced article(s) found for physics.hist-ph. https://arxiv.org/list/physics.hist-ph/new
[1/1]:
- Disentangling Boltzmann brains, the time-asymmetry of memory, and the second law
David Wolpert, Carlo Rovelli, Jordan Scharnhorst

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
[5/8]:
- A Human Behavioral Baseline for Collective Governance in Software Projects
Mobina Noori, Mahasweta Chakraborti, Amy X Zhang, Seth Frey

A Study of the Removability of Speaker-Adversarial Perturbations
Liping Chen, Chenyang Guo, Kong Aik Lee, Zhen-Hua Ling, Wu Guo
https://arxiv.org/abs/2510.09504 https://

A Study of the Removability of Speaker-Adversarial Perturbations
Recent advancements in adversarial attacks have demonstrated their effectiveness in misleading speaker recognition models, making wrong predictions about speaker identities. On the other hand, defense techniques against speaker-adversarial attacks focus on reducing the effects of speaker-adversarial perturbations on speaker attribute extraction. These techniques do not seek to fully remove the perturbations and restore the original speech. To this end, this paper studies the removability of spe…

Universality of critical behaviors in the three-dimensional (3D) Ising magnets
Zhidong Zhang
https://arxiv.org/abs/2510.09111 https://arxiv.org/pdf/2510.09…

Universality of critical behaviors in the three-dimensional (3D) Ising magnets
This article gives a brief overview on recent advances in experiments of critical exponents in three groups of magnetic materials. Revisiting experimental data verifies that a universality class with the critical exponents beta = 3/8, gamma = 5/4 and delta = 13/3 occurs in the three-dimensional (3D) Ising magnets, such as transition-metal intermetallics, rare-earth transition-metal compounds and manganites. Furthermore, the topological contributions to critical behaviors in the 3D Ising model a…

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
[4/8]:
- D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition
Yiyang Huang, Yizhou Wang, Yun Fu

Target speaker anonymization in multi-speaker recordings
Natalia Tomashenko, Junichi Yamagishi, Xin Wang, Yun Liu, Emmanuel Vincent
https://arxiv.org/abs/2510.09307 https://

Target speaker anonymization in multi-speaker recordings
Most of the existing speaker anonymization research has focused on single-speaker audio, leading to the development of techniques and evaluation metrics optimized for such condition. This study addresses the significant challenge of speaker anonymization within multi-speaker conversational audio, specifically when only a single target speaker needs to be anonymized. This scenario is highly relevant in contexts like call centers, where customer privacy necessitates anonymizing only the customer'…

'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/

Optical clocks with accuracy validated at the 19th digit
K. J. Arnold, M. D. K. Lee, Zhao Qi, Qichen Qin, Zhang Zhao, N. Jayjong, M. D. Barrett
https://arxiv.org/abs/2512.07346 https://arxiv.org/pdf/2512.07346 https://arxiv.org/html/2512.07346
arXiv:2512.07346v1 Announce Type: new
Abstract: We report a comprehensive evaluation of all known sources of systematic uncertainty for two independent $^{176}$Lu$^ $ single-ion optical references, finding total systematic uncertainty of $1.1\times10^{-19}$ and $1.4\times10^{-19}$ for the two individual systems and $9.6\times10^{-20}$ for the difference. Through direct comparison via correlation spectroscopy, we demonstrate a relative frequency agreement of $-2.4\pm(5.7)_\mathrm{stat}\pm(1.0)_\mathrm{sys}\times10^{-19}$, where `stat' and `sys' indicate the statistical and systematic uncertainty, respectively. The comparison uncertainty is statistically limited after approximately 200 hours of averaging with a measurement instability of $4.8\times10^{-16}(\tau/\mathrm{s})^{-1/2}$.
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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
[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

Effects of automotive microphone frequency response characteristics and noise conditions on speech and ASR quality -- an experimental evaluation
Michele Buccoli, Yu Du, Jacob Soendergaard, Simone Shawn Cazzaniga
https://arxiv.org/abs/2510.09236

Effects of automotive microphone frequency response characteristics and noise conditions on speech and ASR quality -- an experimental evaluation
Upon choosing microphones for automotive hands-free communication or Automatic Speech Recognition (ASR) applications, OEMs typically specify wideband, super wideband or even fullband requirements following established standard recommendations (e.g., ITU-P.1110, ITU-P.1120). In practice, it is often challenging to achieve the preferred bandwidth for an automotive microphone when considering limitations and constraints on microphone placement inside the cabin, and the automotive grade environment…

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
[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

Unsupervised lexicon learning from speech is limited by representations rather than clustering
Danel Adendorff, Simon Malan, Herman Kamper
https://arxiv.org/abs/2510.09225 https…

Unsupervised lexicon learning from speech is limited by representations rather than clustering
Zero-resource word segmentation and clustering systems aim to tokenise speech into word-like units without access to text labels. Despite progress, the induced lexicons are still far from perfect. In an idealised setting with gold word boundaries, we ask whether performance is limited by the representation of word segments, or by the clustering methods that group them into word-like types. We combine a range of self-supervised speech features (continuous/discrete, frame/word-level) with differe…

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…

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
[1/8]:
- Deep Multimodal Subspace Clustering Networks
Mahdi Abavisani, Vishal M. Patel
ht…

The Art Newspaper runs down the must-see exhibitions of 2026, including our own "Edmonia Lewis: Said in Stone," organized with the Peabody Essex Museum. It opens at PEM on Valentine's Day, here on August 8 and at the North Carolina Museum of Art next year.
https://lnkd.in/e3uJiw9R

Impact of HRTF individualisation and head movements in a real/virtual localisation task
Vincent Martin, Lorenzo Picinali
https://arxiv.org/abs/2510.09161 https://

Impact of HRTF individualisation and head movements in a real/virtual localisation task
The objective of Audio Augmented Reality (AAR) applications are to seamlessly integrate virtual sound sources within a real environment. It is critical for these applications that virtual sources are localised precisely at the intended position, and that the acoustic environments are accurately matched. One effective method for spatialising sound on headphones is through Head-Related Transfer Functions (HRTFs). These characterise how the physical features of a listener modify sound waves befo…

Look before Transcription: End-to-End SlideASR with Visually-Anchored Policy Optimization
Rui Hu, Delai Qiu, Yining Wang, Shengping Liu, Jitao Sang
https://arxiv.org/abs/2510.08618

Look before Transcription: End-to-End SlideASR with Visually-Anchored Policy Optimization
Automatic speech recognition (ASR) systems often struggle with domain-specific terminology, especially in specialized settings such as academic lectures. To address this, we define the SlideASR task, which leverages the rich visual information from presentation slides to improve transcription accuracy. Existing pipeline methods for this task tend to be complex and underperform. Although omni-modal large language models (OLLMs) provide a promising end-to-end framework, they frequently fail in pr…

BaldWhisper: Faster Whisper with Head Shearing and Layer Merging
Yaya Sy, Christophe Cerisara, Irina Illina
https://arxiv.org/abs/2510.08599 https://arxiv.…

BaldWhisper: Faster Whisper with Head Shearing and Layer Merging
Pruning large pre-trained transformers for low-resource languages is challenging, as it often requires massive retraining data to recover performance. For instance, Distill-Whisper prunes Whisper by 40% and retrains on 21,000 hours of speech, far beyond what is available for most languages. Can Whisper be made lighter and faster for edge devices in data-scarce settings? Focusing on Bambara with only 32h of speech-to-text data, we propose a new pruning recipe. Instead of vocabulary pruning, whic…

Dynamic Stress Detection: A Study of Temporal Progression Modelling of Stress in Speech
Vishakha Lall, Yisi Liu
https://arxiv.org/abs/2510.08586 https://ar…

Dynamic Stress Detection: A Study of Temporal Progression Modelling of Stress in Speech
Detecting psychological stress from speech is critical in high-pressure settings. While prior work has leveraged acoustic features for stress detection, most treat stress as a static label. In this work, we model stress as a temporally evolving phenomenon influenced by historical emotional state. We propose a dynamic labelling strategy that derives fine-grained stress annotations from emotional labels and introduce cross-attention-based sequential models, a Unidirectional LSTM and a Transformer…

Articulation-Informed ASR: Integrating Articulatory Features into ASR via Auxiliary Speech Inversion and Cross-Attention Fusion
Ahmed Adel Attia, Jing Liu, Carol Espy Wilson
https://arxiv.org/abs/2510.08585

Articulation-Informed ASR: Integrating Articulatory Features into ASR via Auxiliary Speech Inversion and Cross-Attention Fusion
Prior works have investigated the use of articulatory features as complementary representations for automatic speech recognition (ASR), but their use was largely confined to shallow acoustic models. In this work, we revisit articulatory information in the era of deep learning and propose a framework that leverages articulatory representations both as an auxiliary task and as a pseudo-input to the recognition model. Specifically, we employ speech inversion as an auxiliary prediction task, and th…

[2025-10-13 Mon (UTC), 10 new articles found for eess.AS Audio and Speech Processing]
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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

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 …

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]
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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

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

[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
[7/8]:
- MultiCOIN: Multi-Modal COntrollable Video INbetweening
Tanveer, Zhou, Niklaus, Amiri, Zhang, Singh, Zhao

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.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

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…

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 …

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

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

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…

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

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
[4/8]:
- Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization
Yanting Gao, Yepeng Liu, Junming Liu, Qi Zhang, Hongyun Zhang, Duoqian Miao, Cairong Zhao

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
[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

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
[2/8]:
- Multimodal Alignment and Fusion: A Survey
Songtao Li, Hao Tang
https://

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

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
[8/14]:
- Early-Warning of Thunderstorm-Driven Power Outages with a Two-Stage Machine Learning Model
Iryna Stanishevska

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

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…

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
[8/17]:
- MatryoshkaThinking: Recursive Test-Time Scaling Enables Efficient Reasoning
Chen, Lei, Zhang, Ke, Zhu, Chen, Lu, Huang, Feng, He, Sun, Wu, Wang

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…

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

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, …

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

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

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

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

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

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…

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…

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…

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

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 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

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…

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

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