Tootfinder

The UK government appoints News UK COO and ex-Sun editor David Dinsmore to the new role of permanent secretary for communications (Press Gazette)
https://pressgazette.co.uk/the-wire/media-jobs-uk-news/news-uk-coo-and…

News UK COO and ex-Sun editor David Dinsmore to take Govt comms job
News UK chief operating officer David Dinsmore is taking up a senior communications role at the heart of Government.

🇺🇦 #NowPlaying on KEXP's #Early
T. Rex:
🎵 Mambo Sun
#TRex
https://headlightsusa.bandcamp.com/track/t-is-for-t-rex-mambo-sun
https://open.spotify.com/track/4FHGKscCEnhBSyszmL32L0

So, my plan today is to continue to do some work this morning.
Clean my smol car at lunchtime when the sun is above and likely to melt my clothing as I stand there.
Then I will have a shower, and continue work once the sun goes down a bit.
#UKSummer #Heat #Hot

Solved: I finally found the solution to the Hyundai problem with loss of cruise control and heads-up display due to use of sunglasses.
Background: New top-end Hyundai cars have both heads-up displays and driver-awareness. When wearing sun glasses the polarization will block the heads up display. And many sun glasses cause the driver awareness detection (which involves an infrared camera that watches the driver's eyes) to believe that the driver is not present or paying attention …

In Rab (Croatia) and feeling right at home:
- pizza costs at least 10€
- local beer is good and cheap
- there's a shitload of fascists but I seem to meet only lovely and friendly people
- my residence windows (in this case a tent flap) are old and broken
- today there was a thunderstorm, then sun, then rain, then sun, then rain - all with 40km/h winds
Rab is the Berlin of the Mediterranean

Viscous-inertial waves on the surface of the Sun: modeling, forward and inverse problems
Tram Thi Ngoc Nguyen, Damien Fournier, Thorsten Hohage
https://arxiv.org/abs/2507.20488 …

Viscous-inertial waves on the surface of the Sun: modeling, forward and inverse problems
This paper develops a mathematical framework for studying the newly discovered solar inertial oscillations, offering promising new avenues for exploring the Sun's dynamics. Under the assumption of purely toroidal motions, the stream function of the flow satisfies a fourth-order scalar equation governing inertial waves on the rotating Sun. We prove well-posedness of wave solutions under explicit conditions on differential rotation. Moreover, we study the inverse problem of simultaneously reconst…

Dutch web design automation startup Framer raised $100M led by Meritech and Atomico with Accel participation at a $2B valuation, after raising $27M in 2023 (Yazhou Sun/Bloomberg)
https://www.bloomberg.com/news/articles/20

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots
Wei Cui, Haoyu Wang, Wenkang Qin, Yijie Guo, Gang Han, Wen Zhao, Jiahang Cao, Zhang Zhang, Jiaru Zhong, Jingkai Sun, Pihai Sun, Shuai Shi, Botuo Jiang, Jiahao Ma, Jiaxu Wang, Hao Cheng, Zhichao Liu, Yang Wang, Zheng Zhu, Guan Huang, Jian Tang, Qiang Zhang
https:…

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots
Humanoid robot technology is advancing rapidly, with manufacturers introducing diverse heterogeneous visual perception modules tailored to specific scenarios. Among various perception paradigms, occupancy-based representation has become widely recognized as particularly suitable for humanoid robots, as it provides both rich semantic and 3D geometric information essential for comprehensive environmental understanding. In this work, we present Humanoid Occupancy, a generalized multimodal occupanc…

Just came back from vacation in Canada’s Maritimes. Doesn’t mean I have any insights to offer about the area, but it’s super photogenic and my blog is going to be bulging with pictures over the next few days. Starting here: https://www.tbray.org/ongoing/When/202x/20

Maritime Vacation

Detection of a dark matter sub-halo near the Sun from pulsar timing: #DarkMatter been found in our galactic neighborhood? https://www.science.org/content/article/has-huge-blob-dark-matter-been-found-our-galactic-neighborhood - if confirmed, vast cloud could test predictions about the Milky Way’s hidden architecture.

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Nina Simone:
🎵 Here Comes the Sun
#NinaSimone
https://gernotbernroider.bandcamp.com/track/here-comes-the-sun
https://open.spotify.com/track/1x9ahz0ALGHgbN9wwDjmre

And just like in humans, long-term sun damage can lead to skin cancer.
"Animals can also get skin cancer. Cancer in general among animals is quite common," says Mejdell.
https://www.sciencenorway.no/can-animals-also-get-sunburned/2533345

Can animals also get sunburned?
Sometimes animals also need to be protected with sunscreen.

Good day to you…
#sunrise #morning

There is a piano in there.*
#train life of a #commuter
#photography
*Ok, that’s from a line a podcast just dropped while I listened and typed. 99÷ Invisible

Praying to the sungod #Caturday #CatsOfMastodon

"Clean energy is getting its own national day of action. It’s about time."
#Energy #Renewables
https://www.

Clean energy is getting its own national day of action. It’s about time.
The first-ever “Sun Day” is coming up Sept. 21. You can get involved in one of the more than 150 events across the country — or plan your own.

The collapse of a critical Atlantic current can no longer be considered a low-likelihood event, a study has concluded,
making deep cuts to fossil fuel emissions even more urgent to avoid the catastrophic impact.
The Atlantic meridional overturning circulation ( #Amoc ) is a major part of the global climate system.
It brings sun-warmed tropical water to Europe and the Arctic, where it cools a…

#ParkerSolarProbe was in the right place at the right time in September 2022: It passed through a magnetic reconnection region in the Sun's corona. #SolarOrbiter observed the event from a distance. Study led by

Nigel basking in the early morning sun
#caturday #CatsOfMastodon

A Be star-black hole binary with a wide orbit from LAMOST time-domain survey
Qian-Yu An, Yang Huang, Wei-Min Gu, Yong Shao, Zhi-Xiang Zhang, Tuan Yi, B. D. Lailey, T. A. A. Sigut, Kyle Akira Rocha, Meng Sun, Seth Gossage, Shi-Jie Gao, Shan-Shan Weng, Song Wang, Bowen Zhang, Xinlin Zhao, Senyu Qi, Shilong Liao, Jianghui Ji, Junfeng Wang, Jianfeng Wu, Mouyuan Sun, Xiang-Dong Li, Jifeng Liu

A Be star-black hole binary with a wide orbit from LAMOST time-domain survey
Binary systems consisting of an early type star and a black hole (BH) are crucial for understanding various astrophysical phenomena, particularly the origins of detected gravitational wave sources. Be binary systems are expected to represent a key evolutionary stage in hosting BHs. However, while hundreds of Be X-ray binaries are known, the only confirmed BH candidate in a Be binary remains highly controversial. We report the discovery of ALS 8814, a Be star-BH binary with a moderately eccentri…

Moin! Es ist leider wirklich so schön hier. #nofilter #Uckermark #project25

Mowing in 3 acts today as a survival mechanism because it's brutally hot & humid and will remain so... 🔍:eyes_squint: until after the sun has set. My lawnmower does not have headlights, so there is no relief to be found.
I survived acts I & II, forming a working theory that the only thing preventing me from spontaneously combusting is the oppressive humidity. It's perfectly counterbalanced suffering but lifesaving. Keeping me alive to suffer? 🤔
Act III still to c…

My first shot with the Laowa 9mm/F5.6 W-Dreamer which is a rectilinear fisheye lens that leaves straight lines more or less straight -- here's a Cayuga Medical Center facility that has a gym, sports med doc, physical therapist and weight loss clinic right by the inlet
#photo #photography…

Evaluating Differentially Private Generation of Domain-Specific Text
Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar, Iqra Zahid, Yuping Wu, Warren Del-Pinto, Goran Nenadic, Siew-Kei Lam, Jie Zhang, Anil A Bharath
https://arxiv.org/abs/2508.20452

Evaluating Differentially Private Generation of Domain-Specific Text
Generative AI offers transformative potential for high-stakes domains such as healthcare and finance, yet privacy and regulatory barriers hinder the use of real-world data. To address this, differentially private synthetic data generation has emerged as a promising alternative. In this work, we introduce a unified benchmark to systematically evaluate the utility and fidelity of text datasets generated under formal Differential Privacy (DP) guarantees. Our benchmark addresses key challenges in d…

Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions
Licai Sun, Xingxun Jiang, Haoyu Chen, Yante Li, Zheng Lian, Biu Liu, Yuan Zong, Wenming Zheng, Jukka M. Lepp\"anen, Guoying Zhao
https://arxiv.org/abs/2507.21015

Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions
Current facial emotion recognition systems are predominately trained to predict a fixed set of predefined categories or abstract dimensional values. This constrained form of supervision hinders generalization and applicability, as it reduces the rich and nuanced spectrum of emotions into oversimplified labels or scales. In contrast, natural language provides a more flexible, expressive, and interpretable way to represent emotions, offering a much broader source of supervision. Yet, leveraging s…

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM
Yongfu Zhu, Lin Sun, Guangxiang Zhao, Weihong Lin, Xiangzheng Zhang
https://arxiv.org/abs/2508.20384

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM
In this work, we introduce Entropy Area Score (EAS), a simple yet effective metric to quantify uncertainty in the answer generation process of reasoning large language models (LLMs). EAS requires neither external models nor repeated sampling, it integrates token-level predictive entropy from the model itself to capture the evolution of uncertainty during generation. Empirical results show that EAS is strongly correlated with answer entropy across models and datasets. In training data selection,…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Sunflower Bean:
🎵 Moment In The Sun
#SunflowerBean
https://sunflowerbean.bandcamp.com/album/moment-in-the-sun
https://open.spotify.com/track/5fAgKgpYQ4oN8R2toD2J5j

Efficient Attention Mechanisms for Large Language Models: A Survey
Yutao Sun, Zhenyu Li, Yike Zhang, Tengyu Pan, Bowen Dong, Yuyi Guo, Jianyong Wang
https://arxiv.org/abs/2507.19595

Efficient Attention Mechanisms for Large Language Models: A Survey
Transformer-based architectures have become the prevailing backbone of large language models. However, the quadratic time and memory complexity of self-attention remains a fundamental obstacle to efficient long-context modeling. To address this limitation, recent research has introduced two principal categories of efficient attention mechanisms. Linear attention methods achieve linear complexity through kernel approximations, recurrent formulations, or fastweight dynamics, thereby enabling scal…

Sonnet 049 - XLIX
Against that time, if ever that time come,
When I shall see thee frown on my defects,
When as thy love hath cast his utmost sum,
Called to that audit by advis'd respects;
Against that time when thou shalt strangely pass,
And scarcely greet me with that sun, thine eye,
When love, converted from the thing it was,
Shall reasons find of settled gravity;
Against that time do I ensconce me here,
Within the knowledge …

Oof.. Oof.. Oof..

🇺🇦 Auf radioeins läuft...
Empire Of The Sun:
🎵 Standing On The Shore
#NowPlaying #EmpireOfTheSun
https://teambbc.bandcamp.com/track/empire-of-the-sun-x-standing-on-the-shore
https://open.spotify.com/track/5g7Qylrck8rh2lUgEWPQVS

Universal Quantum Computational Spectroscopy on a Quantum Chip
Chonghao Zhai, Jinzhao Sun, Jieshan Huang, Jun Mao, Hongchang Bao, Siyuan Zhang, Qihuang Gong, Vlatko Vedral, Xiao Yuan, Jianwei Wang
https://arxiv.org/abs/2506.22418

Universal Quantum Computational Spectroscopy on a Quantum Chip
Spectroscopy underpins modern scientific discovery across diverse disciplines. While experimental spectroscopy probes material properties through scattering or radiation measurements, computational spectroscopy combines theoretical models with experimental data to predict spectral properties, essential for advancements in physics, chemistry, and materials science. However, quantum systems present unique challenges for computational spectroscopy due to their inherent complexity, and current quan…

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review
Mengyu Sun, Ziyuan Yang, Yongqiang Huang, Hui Yu, Yingyu Chen, Shuren Qi, Andrew Beng Jin Teoh, Yi Zhang
https://arxiv.org/abs/2508.20414

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review
Artificial intelligence (AI) has demonstrated considerable potential in the realm of medical imaging. However, the development of high-performance AI models typically necessitates training on large-scale, centralized datasets. This approach is confronted with significant challenges due to strict patient privacy regulations and legal restrictions on data sharing and utilization. These limitations hinder the development of large-scale models in medical domains and impede continuous updates and tr…

Sun Jingguo:
"The cost of driving a petrol car is too expensive. I save money driving an electric vehicle,"
Lu Yunfeng: "I drive an electric vehicle because I am poor,"
https://www.bbc.com/news/articles/c2d5ld8y8pwo

Boosting Skeleton-Driven SMT Solver Fuzzing by Leveraging LLM to Produce Formula Generators
Maolin Sun, Yibiao Yang, Yuming Zhou
https://arxiv.org/abs/2508.20340 https://…

Boosting Skeleton-Driven SMT Solver Fuzzing by Leveraging LLM to Produce Formula Generators
Satisfiability Modulo Theory (SMT) solvers are foundational to modern systems and programming languages research, providing the foundation for tasks like symbolic execution and automated verification. Because these solvers sit on the critical path, their correctness is essential, and high-quality test formulas are key to uncovering bugs. However, while prior testing techniques performed well on earlier solver versions, they struggle to keep pace with rapidly evolving features. Recent approaches…

Crosslisted article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new
[1/1]:
- Boosting Skeleton-Driven SMT Solver Fuzzing by Leveraging LLM to Produce Formula Generators
Maolin Sun, Yibiao Yang, Yuming Zhou

iTrace : Interactive Tracing of Cross-View Data Relationships
Abdul Rahman Shaikh, Maoyuan Sun, Xingchen Liu, Hamed Alhoori, Jian Zhao, David Koop
https://arxiv.org/abs/2505.23079

iTrace : Interactive Tracing of Cross-View Data Relationships
Exploring data relations across multiple views has been a common task in many domains such as bioinformatics, cybersecurity, and healthcare. To support this, various techniques (e.g., visual links and brushing and linking) are used to show related visual elements across views via lines and highlights. However, understanding the relations using these techniques, when many related elements are scattered, can be difficult due to spatial distance and complexity. To address this, we present iTrace, …

PEMUTA: Pedagogically-Enriched Multi-Granular Undergraduate Thesis Assessment
Jialu Zhang, Qingyang Sun, Qianyi Wang, Weiyi Zhang, Zunjie Xiao, Xiaoqing Zhang, Jianfeng Ren, Jiang Liu
https://arxiv.org/abs/2507.19556

PEMUTA: Pedagogically-Enriched Multi-Granular Undergraduate Thesis Assessment
The undergraduate thesis (UGTE) plays an indispensable role in assessing a student's cumulative academic development throughout their college years. Although large language models (LLMs) have advanced education intelligence, they typically focus on holistic assessment with only one single evaluation score, but ignore the intricate nuances across multifaceted criteria, limiting their ability to reflect structural criteria, pedagogical objectives, and diverse academic competencies. Meanwhile, ped…

DOT repaints Pulse crosswalk for a second time. FHP and OPD watching site (Natalia Jaramillo/Sun-Sentinel)
https://www.sun-sentinel.com/2025/08/24/dot-repaints-pulse-crosswalk-for-a-second-time-fhp-and-opd-watching-site/?share=taptanuhtsu8il8sisai
http://www.memeorandum.com/250824/p36#a250824p36

A Selberg-type zero-density result for twisted $\rm GL_2$ $L$-functions and its application
Qingfeng Sun, Hui Wang, Yanxue Yu
https://arxiv.org/abs/2505.23573

A Selberg-type zero-density result for twisted $\rm GL_2$ $L$-functions and its application
Let $f$ be a fixed holomorphic primitive cusp form of even weight $k$, level $r$ and trivial nebentypus $χ_r$. Let $q$ be an odd prime with $(q,r)=1$ and let $χ$ be a primitive Dirichlet character modulus $q$ with $χ\neqχ_r$. In this paper, we prove an unconditional Selberg-type zero-density estimate for the family of twisted $L$-functions $L(s, f \otimes χ)$ in the critical strip. As an application, we establish an asymptotic formula for the even moments of the argument function $S(t, f…

What've we got to lose?

CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference
Guanyu Xu, Zhiwei Hao, Li Shen, Yong Luo, Fuhui Sun, Xiaoyan Wang, Han Hu, Yonggang Wen
https://arxiv.org/abs/2508.20375

CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference
The impressive performance of transformer models has sparked the deployment of intelligent applications on resource-constrained edge devices. However, ensuring high-quality service for real-time edge systems is a significant challenge due to the considerable computational demands and resource requirements of these models. Existing strategies typically either offload transformer computations to other devices or directly deploy compressed models on individual edge devices. These strategies, howev…

A Metabolic-Imaging Integrated Model for Prognostic Prediction in Colorectal Liver Metastases
Qinlong Li, Pu Sun, Guanlin Zhu, Tianjiao Liang, Honggang QI
https://arxiv.org/abs/2507.19734

A Metabolic-Imaging Integrated Model for Prognostic Prediction in Colorectal Liver Metastases
Prognostic evaluation in patients with colorectal liver metastases (CRLM) remains challenging due to suboptimal accuracy of conventional clinical models. This study developed and validated a robust machine learning model for predicting postoperative recurrence risk. Preliminary ensemble models achieved exceptionally high performance (AUC $>$ 0.98) but incorporated postoperative features, introducing data leakage risks. To enhance clinical applicability, we restricted input variables to preopera…

MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
Yijia Sun, Shanshan Huang, Linxiao Che, Haitao Lu, Qiang Luo, Kun Gai, Guorui Zhou
https://arxiv.org/abs/2508.20400

MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
Modern industrial recommendation systems encounter a core challenge of multi-stage optimization misalignment: a significant semantic gap exists between the multi-objective optimization paradigm widely used in the ranking phase and the single-objective modeling in the retrieve phase. Although the mainstream industry solution achieves multi-objective coverage through parallel multi-path single-objective retrieval, this approach leads to linear growth of training and serving resources with the num…

»Margaux Blanchard – US-Medien fallen auf KI-generierte Artikel von Freelancerin herein:
Mehrere US-Medien haben offenbar Artikel einer Freelancerin namens Margaux Blanchard veröffentlicht, die komplett per KI erstellt worden sein sollen. Die Artikel sind mittlerweile entfernt. Aber eine Frage bleibt: Wie konnte das passieren?«
Die Frage ist doch, wie überaschend ist dies und wiso werden jenste plumpe News geteilt?
🤖

Margaux Blanchard: US-Medien fallen auf KI-generierte Artikel von Freelancerin herein | t3n
Mehrere US-Medien haben offenbar Artikel einer Freelancerin namens Margaux Blanchard veröffentlicht, die komplett per KI erstellt worden sein sollen. Die Artikel sind mittlerweile entfernt. Aber eine Frage bleibt: Wie konnte das passieren? Im Mai 2025 war die Chicago Sun-Times von einem KI-Debakel durchgerüttelt worden, als in ihrer Sonntagsbeilage Lektüretipps und Empfehlungen zu Sommeraktivitäten erschienen, die […]

🇺🇦 #NowPlaying on #BBC6Music's #TheMorningAfterMix
The Bees:
🎵 Sky Holds The Sun
#TheBees
https://thebeesofficial.bandcamp.com/track/sky-holds-the-sun
https://open.spotify.com/track/1OGW5r734XCA815XLg6yp0

Online Rounding Schemes for $ k $-Rental Problems
Hossein Nekouyan, Bo Sun, Raouf Boutaba, Xiaoqi Tan
https://arxiv.org/abs/2507.19649 https://arxiv.org/pd…

Online Rounding Schemes for $ k $-Rental Problems
We study two online resource-allocation problems with reusability in an adversarial setting, namely kRental-Fixed and kRental-Variable. In both problems, a decision-maker manages $k$ identical reusable units and faces a sequence of rental requests over time. We develop theoretically grounded relax-and-round algorithms with provable competitive-ratio guarantees for both settings. For kRental-Fixed, we present an optimal randomized algorithm that attains the best possible competitive ratio: it fi…

Learning Neural Vocoder from Range-Null Space Decomposition
Andong Li, Tong Lei, Zhihang Sun, Rilin Chen, Erwei Yin, Xiaodong Li, Chengshi Zheng
https://arxiv.org/abs/2507.20731

Learning Neural Vocoder from Range-Null Space Decomposition
Despite the rapid development of neural vocoders in recent years, they usually suffer from some intrinsic challenges like opaque modeling, and parameter-performance trade-off. In this study, we propose an innovative time-frequency (T-F) domain-based neural vocoder to resolve the above-mentioned challenges. To be specific, we bridge the connection between the classical signal range-null decomposition (RND) theory and vocoder task, and the reconstruction of target spectrogram can be decomposed in…

Bijna afgelopen op BBCFour, maar wie wil genieten.... (Zal wel na 01:30 worden, want ze lopen achter)
"Andi Oliver is tonight’s guide to an evening of musical glamour, as singing sensation Samara Joy makes her Proms debut with timeless classics from Billie Holiday, Duke Ellington, Frank Sinatra and Sun Ra.'

Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector
Sijia Liao, Xiaoxiao Sun, Ning Hao, Hao Helen Zhang
https://arxiv.org/abs/2508.20278 …

Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector
The scalar-on-image regression model examines the association between a scalar response and a bivariate function (e.g., images) through the estimation of a bivariate coefficient function. Existing approaches often impose smoothness constraints to control the bias-variance trade-off, and thus prevent overfitting. However, such assumptions can hinder interpretability, especially when only certain regions of an image influence changes in the response. In such a scenario, interpretability can be be…

One-Pot Sun-Dried Tomato And Chickpea Stew #plantbased

One-Pot Sun-Dried Tomato And Chickpea Stew
This one-pot sun-dried tomato and chickpea stew is an ideal dinner dish for someone who wants a straightforward and filling meal.

Rams' Matthew Stafford says he's doing 'everything under the sun' to address back issue https://www.nfl.com/news/rams-matthew-stafford-says-he-s-doing-everything-under-the-sun-to-address-back-injury

Calibrating HMI Magnetograms Using an End-to-end Magnetograph Model: #Sun

Bifrost Models of the Quiet Sun. I. Comparison with Solar Observations
Milan Go\v{s}i\'c, Viggo H. Hansteen, Alberto Sainz Dalda, Bart De Pontieu, Luc H. M. Rouppe van der Voort
https://arxiv.org/abs/2508.19355

Bifrost Models of the Quiet Sun. I. Comparison with Solar Observations
Studying the emergence of magnetic fields is essential for understanding the physical mechanisms behind various phenomena in the solar atmosphere. Most importantly, the emerging fields offer valuable insights into how energy and mass are transferred to the upper solar atmosphere. As a result, they have garnered significant attention from both observational and theoretical perspectives. In this article, we present two models of quiet-Sun-like magnetic fields generated by the Bifrost code. We com…

Will Payne, The Sun's director of digital (editorial), is leaving after almost 11 years to become deputy editor-in-chief of News Corp's New York Post Group (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/the-wire/me

Sun digital director Will Payne moving to New York Post
Will Payne, The Sun's director of digital (editorial), is leaving after almost 11 years to join fellow News Corp title the New York Post.

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning
Kanglin Qu, Pan Gao, Qun Dai, Yuanhao Sun
https://arxiv.org/abs/2507.19778 https://

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning
The attention mechanism has become a dominant operator in point cloud learning, but its quadratic complexity leads to limited inter-point interactions, hindering long-range dependency modeling between objects. Due to excellent long-range modeling capability with linear complexity, the selective state space model (S6), as the core of Mamba, has been exploited in point cloud learning for long-range dependency interactions over the entire point cloud. Despite some significant progress, related wor…

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution
Chen Chen, Yuchen Sun, Jiaxin Gao, Xueluan Gong, Qian Wang, Ziyao Wang, Yongsen Zheng, Kwok-Yan Lam
https://arxiv.org/abs/2508.21004

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution
Large language models (LLMs) have seen significant advancements, achieving superior performance in various Natural Language Processing (NLP) tasks. However, they remain vulnerable to backdoor attacks, where models behave normally for standard queries but generate harmful responses or unintended output when specific triggers are activated. Existing backdoor defenses either lack comprehensiveness, focusing on narrow trigger settings, detection-only mechanisms, and limited domains, or fail to with…

A look at Justin Sun's lawsuit against Bloomberg for publishing his holdings, which he claims he provided confidentially to qualify for its Billionaires Index (Molly White/Citation Needed)
https://www.citationneeded.news/justin-sun-bloomberg-lawsuit/

As he builds US power, Justin Sun fights to control his story
A crypto billionaire who once feared arrest in the US is now a Trump business adviser and White House guest. His lawsuit against Bloomberg reveals what he doesn't want Americans to know about his crypto fortune.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/8]:
- TAIL: Text-Audio Incremental Learning
Yingfei Sun, Xu Gu, Wei Ji, Hanbin Zhao, Yifang Yin, Roger Zimmermann

Learning Primitive Embodied World Models: Towards Scalable Robotic Learning
Qiao Sun, Liujia Yang, Wei Tang, Wei Huang, Kaixin Xu, Yongchao Chen, Mingyu Liu, Jiange Yang, Haoyi Zhu, Yating Wang, Tong He, Yilun Chen, Xili Dai, Nanyang Ye, Qinying Gu
https://arxiv.org/abs/2508.20840

Learning Primitive Embodied World Models: Towards Scalable Robotic Learning
While video-generation-based embodied world models have gained increasing attention, their reliance on large-scale embodied interaction data remains a key bottleneck. The scarcity, difficulty of collection, and high dimensionality of embodied data fundamentally limit the alignment granularity between language and actions and exacerbate the challenge of long-horizon video generation--hindering generative models from achieving a "GPT moment" in the embodied domain. There is a naive observation: t…

Breaking Diffusion with Cache: Exploiting Approximate Caches in Diffusion Models
Desen Sun, Shuncheng Jie, Sihang Liu
https://arxiv.org/abs/2508.20424 https://

Breaking Diffusion with Cache: Exploiting Approximate Caches in Diffusion Models
Diffusion models are a powerful class of generative models that produce content, such as images, from user prompts, but they are computationally intensive. To mitigate this cost, recent academic and industry work has adopted approximate caching, which reuses intermediate states from similar prompts in a cache. While efficient, this optimization introduces new security risks by breaking isolation among users. This work aims to comprehensively assess new security vulnerabilities arising from appr…

On the emergence of quantum memory in non-Markovian dynamics
Alexander Yosifov, Aditya Iyer, Vlatko Vedral, Jinzhao Sun
https://arxiv.org/abs/2507.21907 https://

On the emergence of quantum memory in non-Markovian dynamics
Quantum systems are often hindered by decoherence due to impact from the environment. While memoryless Markovian collision models are commonly used to approximate such evolution, non-Markovian dynamics (with memory) is typical in practice, with memory effects being harnessed as a resource for many tasks like quantum error correction and information processing. Yet, the type of memory, classical or quantum, necessary to realize the dynamics of many collision models is not known. In this work, we…

https://petapixel.com/2025/06/20/once-in-a-lifetime-photo-of-iss-crossing-the-sun-as-solar-flare-erupts/

‘Once in a Lifetime’ Photo of ISS Crossing the Sun as Solar Flare Erupts
Solar flares simply cannot be planned for.

Intention-Driven Generation of Project-Specific Test Cases
Binhang Qi, Yun Lin, Xinyi Weng, Yuhuan Huang, Chenyan Liu, Hailong Sun, Jin Song Dong
https://arxiv.org/abs/2507.20619

Intention-Driven Generation of Project-Specific Test Cases
Test cases are valuable assets for maintaining software quality. While numerous automated techniques have been proposed for generating tests (either by maximizing code coverage or by translating focal code into test code), practical tests are seldom driven by coverage alone. In real projects, each test reflects a developer's validation intention for a specific behaviour and embodies rich, project-specific knowledge: which specific APIs to call and what assertions truly matter. Without consideri…

Talking-to-Build: How LLM-Assisted Interface Shapes Player Performance and Experience in Minecraft
Xin Sun, Lei Wang, Yue Li, Jie Li, Massimo Poesio, Julian Frommel, Koen Hinriks, Jiahuan Pei
https://arxiv.org/abs/2507.20300

Talking-to-Build: How LLM-Assisted Interface Shapes Player Performance and Experience in Minecraft
With large language models (LLMs) on the rise, in-game interactions are shifting from rigid commands to natural conversations. However, the impacts of LLMs on player performance and game experience remain underexplored. This work explores LLM's role as a co-builder during gameplay, examining its impact on task performance, usability, and player experience. Using Minecraft as a sandbox, we present an LLM-assisted interface that engages players through natural language, aiming to facilitate creat…

GPUnion: Autonomous GPU Sharing on Campus
Yufang Li (The Hong Kong University of Science,Technology), Yuanbo Zhang (Sun Yat-sen University), Hanlong Liao (National University of Defense Technology), Guoming Tang (The Hong Kong University of Science,Technology), Deke Guo (Sun Yat-sen University)
https://arxiv.org/abs/2507.18928

GPUnion: Autonomous GPU Sharing on Campus
A pronounced imbalance in GPU resources exists on campus, where some laboratories own underutilized servers while others lack the compute needed for AI research. GPU sharing can alleviate this disparity, while existing platforms typically rely on centralized oversight and persistent allocation models, conflicting with the voluntary and autonomous nature of academic resource ownership. We present GPUnion, a campus-scale GPU sharing platform enabling voluntary participation while preserving full …

Taming Domain Shift in Multi-source CT-Scan Classification via Input-Space Standardization
Chia-Ming Lee, Bo-Cheng Qiu, Ting-Yao Chen, Ming-Han Sun, Fang-Ying Lin, Jung-Tse Tsai, I-An Tsai, Yu-Fan Lin, Chih-Chung Hsu
https://arxiv.org/abs/2507.19858

Taming Domain Shift in Multi-source CT-Scan Classification via Input-Space Standardization
Multi-source CT-scan classification suffers from domain shifts that impair cross-source generalization. While preprocessing pipelines combining Spatial-Slice Feature Learning (SSFL++) and Kernel-Density-based Slice Sampling (KDS) have shown empirical success, the mechanisms underlying their domain robustness remain underexplored. This study analyzes how this input-space standardization manages the trade-off between local discriminability and cross-source generalization. The SSFL++ and KDS pipel…

First images of the Sun's south pole!
Solar Orbiter is the first space probe to look at the Sun's poles – and finds the magnetic field there in a state of turmoil. The Sun's magnetic field is currently undergoing a flip. During its latest flyby of the Sun at the end of March this year, the Solar Orbiter space probe had its first clear view of our star's poles. First images:

A Unified Framework for Interactive Visual Graph Matching via Attribute-Structure Synchronization
Yuhua Liu, Haoxuan Wang, Jiajia Kou, Ling Sun, Heyu Wang, Yongheng Wang, Yigang Wang, Jinchang Lic, Zhiguang Zhou
https://arxiv.org/abs/2507.19750

A Unified Framework for Interactive Visual Graph Matching via Attribute-Structure Synchronization
In traditional graph retrieval tools, graph matching is commonly used to retrieve desired graphs from extensive graph datasets according to their structural similarities. However, in real applications, graph nodes have numerous attributes which also contain valuable information for evaluating similarities between graphs. Thus, to achieve superior graph matching results, it is crucial for graph retrieval tools to make full use of the attribute information in addition to structural information. W…

🇺🇦 #NowPlaying on #BBC6Music's #6Musics90sForever
Soundgarden:
🎵 Black Hole Sun
#Soundgarden
https://antinote.bandcamp.com/track/soundgardens-black-hole-sun-cover
https://open.spotify.com/track/2EoOZnxNgtmZaD8uUmz2nD

🇺🇦 Auf radioeins läuft...
Violent Femmes:
🎵 Blister In The Sun
#NowPlaying #ViolentFemmes
https://diezzzz.bandcamp.com/track/violent-femmes-blister-in-the-sun-cover
https://open.spotify.com/track/7jIAttgQTpLDoNtykIQXjH

Trump's planned Chicago blitz would use naval base to house ICE agents, possibly National Guard (Violet Miller/Chicago Sun Times)
https://chicago.suntimes.com/the-watchdogs/2025/08/27/donald-trump-chicago-downtown-ice-immigration-national-guard-brandon-johnson-jb-pritzker
http://www.memeorandum.com/250827/p47#a250827p47

AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun, Liangliang Liu, Yi Guan, Jingchi Jiang
https://arxiv.org/abs/2507.21773

AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
In the agricultural domain, the deployment of large language models (LLMs) is hindered by the lack of training data and evaluation benchmarks. To mitigate this issue, we propose AgriEval, the first comprehensive Chinese agricultural benchmark with three main characteristics: (1) Comprehensive Capability Evaluation. AgriEval covers six major agriculture categories and 29 subcategories within agriculture, addressing four core cognitive scenarios: memorization, understanding, inference, and genera…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[8/9]:
- TAIL: Text-Audio Incremental Learning
Yingfei Sun, Xu Gu, Wei Ji, Hanbin Zhao, Yifang Yin, Roger Zimmermann

ActLoc: Learning to Localize on the Move via Active Viewpoint Selection
Jiajie Li, Boyang Sun, Luca Di Giammarino, Hermann Blum, Marc Pollefeys
https://arxiv.org/abs/2508.20981 …

ActLoc: Learning to Localize on the Move via Active Viewpoint Selection
Reliable localization is critical for robot navigation, yet most existing systems implicitly assume that all viewing directions at a location are equally informative. In practice, localization becomes unreliable when the robot observes unmapped, ambiguous, or uninformative regions. To address this, we present ActLoc, an active viewpoint-aware planning framework for enhancing localization accuracy for general robot navigation tasks. At its core, ActLoc employs a largescale trained attention-base…

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security
Muzhi Dai, Shixuan Liu, Zhiyuan Zhao, Junyu Gao, Hao Sun, Xuelong Li
https://arxiv.org/abs/2507.22037

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security
The rapid advancement of multimodal large language models (MLLMs) has led to breakthroughs in various applications, yet their security remains a critical challenge. One pressing issue involves unsafe image-query pairs--jailbreak inputs specifically designed to bypass security constraints and elicit unintended responses from MLLMs. Compared to general multimodal data, such unsafe inputs are relatively sparse, which limits the diversity and richness of training samples available for developing ro…

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration
Ruiyin Li, Yiran Zhang, Xiyu Zhou, Peng Liang, Weisong Sun, Jifeng Xuan, Zhi Jin, Yang Liu
https://arxiv.org/abs/2507.21382

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration
Software architecture design is a critical, yet inherently complex and knowledge-intensive phase of software development. It requires deep domain expertise, development experience, architectural knowledge, careful trade-offs among competing quality attributes, and the ability to adapt to evolving requirements. Traditionally, this process is time-consuming and labor-intensive, and relies heavily on architects, often resulting in limited design alternatives, especially under the pressures of agil…

🇺🇦 #NowPlaying on KEXP's #SonicReducer
Xylitol:
🎵 Dim the Sun
#Xylitol
https://thrillingliving.bandcamp.com/track/dim-the-sun

Surya - Foundation Model for Heliophysics / SuryaBench - Benchmark Dataset for Advancing Machine Learning in Heliophysics and #SpaceWeather Prediction: https://arxiv.org/abs/2508.14112 / https://arxiv.org/abs/2508.14107 -> Here comes a foundation model for the Sun: https://research.ibm.com/blog/surya-heliophysics-ai-model-sun?previewToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6MTEsImlhdCI6MTc1NTYyMTUwOSwiZXhwIjoxNzU1ODgwNzA5LCJzdWIiOiI0NDY1In0.pv2-edPifhET2uDPQB4hsp4HsBzhZycvMcFlZpjFQKA -> NASA and IBM Unveil AI That Helps Scientists Forecast Solar Storms: https://gizmodo.com/nasa-and-ibm-unveil-ai-that-helps-scientists-forecast-solar-storms-2000645123 - experts recently identified major gaps in their ability to forecast space weather; Surya aims to fill them.

A look at Justin Sun's lawsuit against Bloomberg for publishing his holdings, which he claims he provided confidentially to qualify for its Billionaires Index (Molly White/Citation Needed)
https://www.citationneeded.news/justin-sun-bloomberg-lawsuit/

As he builds US power, Justin Sun fights to control his story
A crypto billionaire who once feared arrest in the US is now a Trump business adviser and White House guest. His lawsuit against Bloomberg reveals what he doesn't want Americans to know about his crypto fortune.

Sun-as-a-star Analysis of the Solar Eruption Source Region Using Ha Spectroscopic Observations of CHASE
Xiaofeng Liu, Yijun Hou, Ying Li, Ye Qiu, Ting Li, Yingjie Cai, Shihao Rao, Junyi Zhang, Chuan Li
https://arxiv.org/abs/2508.17762

Sun-as-a-star Analysis of the Solar Eruption Source Region Using Ha Spectroscopic Observations of CHASE
Sun-as-a-star analyses serve as a bridge for comparative studies on solar and stellar activities. To investigate the typical Sun-as-a-star Ha temporal spectral characteristics in solar eruption source regions, we analyzed five different types of solar eruptions, using spectroscopic data from the Chinese Ha Solar Explorer (CHASE). Because the spatially-integral Ha spectrum of source region is mainly contributed by emission from heated plasma in flare ribbons and absorption from cold plasma in ev…

Training Language Model to Critique for Better Refinement
Tianshu Yu, Chao Xiang, Mingchuan Yang, Pei Ke, Bosi Wen, Cunxiang Wang, Jiale Cheng, Li Zhang, Xinyu Mu, Chuxiong Sun, Minlie Huang
https://arxiv.org/abs/2506.22157

Training Language Model to Critique for Better Refinement
Large language models (LLMs) have demonstrated remarkable evaluation and critique capabilities, providing insightful feedback and identifying flaws in various tasks. However, limited research has explored which types of critiques are most effective for improving model responses or how to generate such critiques. To address this gap, we introduce \textbf{R}efinement-oriented \textbf{C}ritique \textbf{O}ptimization (RCO), a novel framework designed to train critic models using refinement signals.…

TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions
Yixin Sun, Li Li, Wenke E, Amir Atapour-Abarghouei, Toby P. Breckon
https://arxiv.org/abs/2506.21630

TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions
Detecting traversable pathways in unstructured outdoor environments remains a significant challenge for autonomous robots, especially in critical applications such as wide-area search and rescue, as well as incident management scenarios like forest fires. Existing datasets and models primarily target urban settings or wide, vehicle-traversable off-road tracks, leaving a substantial gap in addressing the complexity of narrow, trail-like off-road scenarios. To address this, we introduce the Trail…

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
Zenghui Yuan, Yangming Xu, Jiawen Shi, Pan Zhou, Lichao Sun
https://arxiv.org/abs/2505.23561

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
Model merging for Large Language Models (LLMs) directly fuses the parameters of different models finetuned on various tasks, creating a unified model for multi-domain tasks. However, due to potential vulnerabilities in models available on open-source platforms, model merging is susceptible to backdoor attacks. In this paper, we propose Merge Hijacking, the first backdoor attack targeting model merging in LLMs. The attacker constructs a malicious upload model and releases it. Once a victim user …

🇺🇦 #NowPlaying on KEXP's #SonicReducer
Jay Reatard:
🎵 There Is No Sun
#JayReatard
https://retardrecords.bandcamp.com/track/henry-g-and-the-wesleys-there-is-no-sun-jay-reatard
https://open.spotify.com/track/3HZ4HMjWlGaWT6DNyU7yWA

SuperMag: Vision-based Tactile Data Guided High-resolution Tactile Shape Reconstruction for Magnetic Tactile Sensors
Peiyao Hou, Danning Sun, Meng Wang, Yuzhe Huang, Zeyu Zhang, Hangxin Liu, Wanlin Li, Ziyuan Jiao
https://arxiv.org/abs/2507.20002

SuperMag: Vision-based Tactile Data Guided High-resolution Tactile Shape Reconstruction for Magnetic Tactile Sensors
Magnetic-based tactile sensors (MBTS) combine the advantages of compact design and high-frequency operation but suffer from limited spatial resolution due to their sparse taxel arrays. This paper proposes SuperMag, a tactile shape reconstruction method that addresses this limitation by leveraging high-resolution vision-based tactile sensor (VBTS) data to supervise MBTS super-resolution. Co-designed, open-source VBTS and MBTS with identical contact modules enable synchronized data collection of …

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[3/3]:
- Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Fin...
Qiong Wu, Wenhao Lin, Yiyi Zhou, Weihao Ye, Zhanpeng Zen, Xiaoshuai Sun, Rongrong Ji

A Statistical Analysis of Magnetic Parameters in Solar Source Regions of Halo-CMEs with and without SEP events
Xuchun Duan, Ting Li, Yijun Hou, Yang Wang, Yue Li, Yining Zhang, Zheng Sun, Guiping Zhou
https://arxiv.org/abs/2506.21907

A Statistical Analysis of Magnetic Parameters in Solar Source Regions of Halo-CMEs with and without SEP events
Large SEPs can cause adverse space weather hazard to humans technology and such events are especially associated with halo coronal mass ejections (CMEs). But in turn, a significant portion of halo-CMEs are not associated with large SEPs. The objective of this study is to gain an understanding of the source region distinctions between halo-CMEs in SEP and No-SEP events. Among the 176 halo-CMEs observed from 2010-2024, we screen out 45 large SEP events and 131 No-SEP events from this dataset. It …

Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model Distribution
Zhicheng Zhang, Peizhuo Lv, Mengke Wan, Jiang Fang, Diandian Guo, Yezeng Chen, Yinlong Liu, Wei Ma, Jiyan Sun, Liru Geng
https://arxiv.org/abs/2507.20650

Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model Distribution
Recently, Deep Learning (DL) models have been increasingly deployed on end-user devices as On-Device AI, offering improved efficiency and privacy. However, this deployment trend poses more serious Intellectual Property (IP) risks, as models are distributed on numerous local devices, making them vulnerable to theft and redistribution. Most existing ownership protection solutions (e.g., backdoor-based watermarking) are designed for cloud-based AI-as-a-Service (AIaaS) and are not directly applicab…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
The Kinks:
🎵 Sunny Afternoon
#TheKinks
https://thefurr.bandcamp.com/track/sunny-afternoon-the-kinks-cover
https://open.spotify.com/track/1gBi5cWUR96Ao6YiFBsXX2

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity
Yicheng Guo, Chengkai Xu, Jiaqi Liu, Hao Zhang, Peng Hang, Jian Sun
https://arxiv.org/abs/2507.21814

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity
Scientific testing techniques are essential for ensuring the safe operation of autonomous vehicles (AVs), with high-risk, highly interactive scenarios being a primary focus. To address the limitations of existing testing methods, such as their heavy reliance on high-quality test data, weak interaction capabilities, and low adversarial robustness, this paper proposes ExamPPO, an interactive adversarial testing framework that enables scenario-adaptive and intensity-controllable evaluation of auto…

Bo\v{s}kovi\'{c}'s Spherical Trigonometric Solution for Determining the Axis and Rate of Solar Rotation by Observing Sunspots in 1777
Mirko Husak, Roman Braj\v{s}a, Dragan \v{S}poljari\'c, Davor Krajnovi\'c, Domagoj Ru\v{z}djak, Ivica Skoki\'c, Dragan Ro\v{s}a, Damir Hr\v{z}ina
https://arxiv.org/abs/2507.20383

Bošković's Spherical Trigonometric Solution for Determining the Axis and Rate of Solar Rotation by Observing Sunspots in 1777
In September 1777 Ruđer Bošković observed and measured the sun-spot positions to determine the solar rotation elements. In 1785, among other methods, he described a trigonometric spherical solution for the determination of the position of the axis and rate of the solar rotation using three sunspot positions, but without equations. For the first time, we derive the equations that are applicable to modern computers for calculating the solar rotation elements, as they were described by Boškovi…

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition
Ruiyang Hao, Haibao Yu, Jiaru Zhong, Chuanye Wang, Jiahao Wang, Yiming Kan, Wenxian Yang, Siqi Fan, Huilin Yin, Jianing Qiu, Yao Mu, Jiankai Sun, Li Chen, Walter Zimmer, Dandan Zhang, Shanghang Zhang, Mac Schwager, Wei Huang, Xiaobo Zhang, Ping Luo, Zaiqing Nie
htt…

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition
With the rapid advancement of autonomous driving technology, vehicle-to-everything (V2X) communication has emerged as a key enabler for extending perception range and enhancing driving safety by providing visibility beyond the line of sight. However, integrating multi-source sensor data from both ego-vehicles and infrastructure under real-world constraints, such as limited communication bandwidth and dynamic environments, presents significant technical challenges. To facilitate research in this…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Brittany Davis:
🎵 Sun and Moon
#BrittanyDavis
https://brittany-davis.bandcamp.com/track/sun-and-moon
https://open.spotify.com/track/56ZVz1WYmhu86W7ZQ85mud

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[1/2]:
- To the Noise and Back: Diffusion for Shared Autonomy
Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly Stadie, Matthew Walter

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Queens of the Stone Age:
🎵 My God Is the Sun
#QueensoftheStoneAge
https://daveecho.bandcamp.com/track/queens-of-the-stone-age-my-god-is-the-sun-dave-echo-mini-remix
https://open.spotify.com/track/0MHHAIjPAd3OSfBS3H0fPg