Tootfinder

📚 First Impressions: 15 Years of The Common Through Its Covers
#graphicdesign

First Impressions: 15 Years of The Common Through Its Covers
A crumpled wad of paper, scattered matches, a turnip, a marshmallow on a stick—The Common’s minimalist covers feature objects set against bright backgrounds. From an axe to a sudsy bar of soap, the…

Understanding the Drag Torque in Common Envelope Evolution
Soumik Bhattacharyya, Luke Chamandy, Eric G. Blackman, Adam Frank, Baowei Liu
https://arxiv.org/abs/2506.19547

Understanding the Drag Torque in Common Envelope Evolution
Common envelope (CE) evolution is largely governed by the drag torque applied on the inspiralling stellar components by the envelope. Previous work has shown that idealized models of the torque based on a single body moving in rectilinear motion through an unperturbed atmosphere can be highly inaccurate. Progress requires new models for the torque that account for binarity. Toward this end we perform a new 3D global hydrodynamic CE simulation with the mass of the companion point particle set eq…

Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights
Yuan Zhong, Ruinan Jin, Xiaoxiao Li, Qi Dou
https://arxiv.org/abs/2506.17337 https://…

Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights
Medical vision-language models (VLMs) leverage large-scale pretraining for diverse imaging tasks but require substantial computational and data resources. Meanwhile, common or general-purpose VLMs (e.g., CLIP, LLaVA), though not trained for medical use, show promise with fine-tuning. This raises a key question: Can efficient fine-tuned common VLMs rival generalist medical VLMs for solving specific medical imaging tasks? This study systematically evaluates common and medical VLMs across disease …

New method for subtraction of common background fluctuation for radio camera: Chunked Principal Component Analysis method
Pranshu Mandal, Tomu Nitta, Makoto Nagai, Nario Kuno
https://arxiv.org/abs/2508.16155

New method for subtraction of common background fluctuation for radio camera: Chunked Principal Component Analysis method
We present a new algorithm, ChunkedPCA, to remove common background fluctuations from datasets acquired with a radio camera. ChunkedPCA is an improvement on using PCA to achieve fewer artifacts and better RMS on the cleaned dataset. The proposed algorithm determines the background fluctuation by grouping the detector pixels not used in the direct observation of the source. This group is then used to get the background fluctuation for that time and used to subtract the background from the data o…

@… the takeaway I’m reading is that it’s a common problem for WordPress sites to need that ol’ Windows-machine-style reformat (for whatever reason)

At the North Sea Energy event in Amsterdam today. Hearing about the results of the collaborative research program, to which Common Futures contributed.

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 72 nodes and 1089 edges.
Tags: Social, Offline, Weighted, Projection

Advocates for mental health and unhoused people
blasted U.S. President Donald Trump on Thursday
over his executive order titled
“Ending Crime and Disorder on America’s Streets.”
Trump’s order directs U.S. Attorney General Pam Bondi
to end policies that restrict the government from institutionalizing
“individuals on the streets who are a risk to themselves or others.”
She must also work with other Cabinet members
“to prioritize grants for state…

Trump Pushes Policies That 'Treat Homelessness and Mental Illness as a Crime' | Common Dreams
Advocates for mental health and unhoused people blasted U.S. President Donald Trump over his executive order titled "Ending Crime and Disorder on America's Streets."

We have to talk about burning trash🗑️🔥
Waste incinerators / waste-to-energy plants that generate electricity and heat are an enormous and often underestimated source of CO2 🏭💨🌎. For example, in Germany, a country where waste-to-energy plants are common, their emissions are higher than those of cement.
Waste incinerator operators will often claim that half of their emissions don't count 🌿 or even that they already have net-negative emissions 🌎. I disagree with both 🧵

Just Stop Burning Trash
Waste-to-energy plants are a massive source of carbon dioxide emissions. Yet, it is not obvious what the best solution for high-emitting incinerators would be. Should incinerators be equiped with carbon capture? How much can recycling rates be improved, and what role should chemical recycling play? And could landfills be a carbon storage solution?

from my link log —
The one-more-re-nightmare regex engine for Common Lisp.
https://applied-langua.ge/posts/omrn-compiler.html
saved 2025-06-24

Here is a little more:
The minimum wage in BC in 1974 was $2.50/hr (the highest in Canada at the time).
That’s $15.75 in 2025 dollars.
The minimum wage in BC as of June 1 2025: $17.85/hr
So adjusted for inflation, University costs have risen 117% but the most common wages for students have only risen 13%.
It’s not hard to figure out why people, especially young people, are struggling.
Put another way:
In today's dollars Tuition has risen $81 every year since 1974.
Minimum wage has risen 4 cents per hour every year since 1974.
@Paulatics @josie_osborne
Source min wage: https://minwage-salairemin.service.canada.ca/en/since1965.html

Opinion | Trump Is Breaking the Promise Our Nation Made to Military Veterans | Common Dreams
https://www.commondreams.org/opinion/trump-breaks-promise-veterans

Among US adults who have ever encountered paywalled articles, only 1% said they paid for access, 53% looked elsewhere, and 32% gave up on accessing the info (Pew Research Center)
https://www.pewresearch.org/short-reads/20…

Few Americans pay for news when they encounter paywalls
Among adults who have not paid for news in the past year, the most common reason they cite is that they can find plenty of other news articles for free.

Agent's Take: How Trey Hendrickson and Bengals can find common ground to keep star pass rusher in Cincinnati

https://www.cbssports.com/nfl/news/agents…

"It's "#ORCID and…," not "ORCID or…": How researcher identifiers work together to help researchers, build a better picture of research, and streamline administrative tasks": White Paper by MoreBrains › https://

The ornamental pond on Southampton Common (known as the Lake) is almost completely dried up after a prolonged drought. The foliage is looking parched and faded. The new normal?
#ClimateDiary #summer

If this mechanism is indeed involved in the origin of life, then a form of life is likely to be present on innumerable habitable planets throughout the universe. Which is expected, of course, and will no-doubt be found at some point.
https://mastodon.social/@ScienceScholar/114734…

😿 Among aging adults, especially women, problematic alcohol use has become more common
https://medicalxpress.com/news/2025-08-aging-adults-women-problematic-alcohol.html

Among aging adults, especially women, problematic alcohol use has become more common
Hazardous and binge drinking are becoming more prevalent in older people, most notably women, according to a large study of alcohol use and aging in two Nordic countries that may illuminate similar trends in other Western populations.

Israel is on notice for using sexual violence against Palestinians. It’s all too common as a war tactic https://theconversation.com/israel-is-on-notice-for-using-sexual-violence-against-palestinians…

Israel is on notice for using sexual violence against Palestinians. It’s all too common as a war tactic
Horrific allegations of gang rape and reports of the targeting of reproductive facilities have alarmed the international community, but sadly, the strategy is not new.

Wondering if I should add a deliberate missspelling to things I write, just as a "not generative AI" signifier. The tricky part is making it obviously intentional, and also not a common missspelling that gen-AI might learn to imitate

Neural and behavioral reinstatement jointly reflect retrieval of narrative events https://www.nature.com/articles/s41467-025-62375-9 by @…

Neural and behavioral reinstatement jointly reflect retrieval of narrative events - Nature Communications
When people recall a movie, their eye movements and brain activity resemble those observed during the viewing. These behavioral and neural reactivations are linked through a common process, likely reflecting the specific internal experiences that emerge in an instance of recall.

GFW Report: on August 20, China's Great Firewall blocked all TCP port 443 traffic, used for HTTPS, for 74 minutes, an unusual move; the cause may be accidental (Nathaniel Mott/Tom's Hardware)
https://www.

China's Great Firewall blocked all traffic to a common HTTPS port for over an hour — with no hint as to its intention
The cause of the incident could be intentional or accidental

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Cowboy Junkies:
🎵 A Common Disaster
#CowboyJunkies
https://open.spotify.com/track/55vSla6QaemcnQxSanXjMh

Identifying Prompted Artist Names from Generated Images
Grace Su, Sheng-Yu Wang, Aaron Hertzmann, Eli Shechtman, Jun-Yan Zhu, Richard Zhang
https://arxiv.org/abs/2507.18633 http…

Identifying Prompted Artist Names from Generated Images
A common and controversial use of text-to-image models is to generate pictures by explicitly naming artists, such as "in the style of Greg Rutkowski". We introduce a benchmark for prompted-artist recognition: predicting which artist names were invoked in the prompt from the image alone. The dataset contains 1.95M images covering 110 artists and spans four generalization settings: held-out artists, increasing prompt complexity, multiple-artist prompts, and different text-to-image models. We eval…

Nations torn by infighting will lose, Ukraine's military intelligence chief warns amid controversial law: https://benborges.xyz/2025/07/23/nations-torn-by-infighting-will.html

RotaTouille: Rotation Equivariant Deep Learning for Contours
Odin Hoff Gardaa, Nello Blaser
https://arxiv.org/abs/2508.16359 https://arxiv.org/pdf/2508.163…

RotaTouille: Rotation Equivariant Deep Learning for Contours
Contours or closed planar curves are common in many domains. For example, they appear as object boundaries in computer vision, isolines in meteorology, and the orbits of rotating machinery. In many cases when learning from contour data, planar rotations of the input will result in correspondingly rotated outputs. It is therefore desirable that deep learning models be rotationally equivariant. In addition, contours are typically represented as an ordered sequence of edge points, where the choice…

Am I Playing Better Now? The Effects of G-SYNC in 60Hz Gameplay
Maryam Riahi, Benjamin Watson
https://arxiv.org/abs/2506.19084 https://

Am I Playing Better Now? The Effects of G-SYNC in 60Hz Gameplay
G-SYNC technology matches formerly regular display refreshes to irregular frame updates, improving frame rates and interactive latency. In a previous study of gaming at the 30Hz frame rates common on consoles, players of Battlefield 4 were unable to discern when G-SYNC was in use, but scored higher with G-SYNC and were affected emotionally. We build on that study with the first examination of G-SYNC's effects at the 60Hz frame rate more common in PC gaming and on emerging consoles. Though G-SYN…

Data Gluttony: Epistemic Risks, Dependent Testing and Data Reuse in Large Datasets
Reid Dale, Jordan Rodu, Maria E. Currie, Mike Baiocchi
https://arxiv.org/abs/2508.16552 https:…

Data Gluttony: Epistemic Risks, Dependent Testing and Data Reuse in Large Datasets
Large-scale registries have collected vast amounts of data which has enabled investigators to efficiently conduct studies of observational data. Common practice is for investigators to use all data meeting the inclusion criteria of their study to perform their analysis. We term this common practice data gluttony. It has apparent formal justification insofar as this approach maximizes per-study power. But this comes at a cost: data reuse affects the shape of the tail distribution of inferential …

Generation of Synthetic Clinical Text: A Systematic Review
Basel Alshaikhdeeb, Ahmed Abdelmonem Hemedan, Soumyabrata Ghosh, Irina Balaur, Venkata Satagopam
https://arxiv.org/abs/2507.18451

Generation of Synthetic Clinical Text: A Systematic Review
Generating clinical synthetic text represents an effective solution for common clinical NLP issues like sparsity and privacy. This paper aims to conduct a systematic review on generating synthetic medical free-text by formulating quantitative analysis to three research questions concerning (i) the purpose of generation, (ii) the techniques, and (iii) the evaluation methods. We searched PubMed, ScienceDirect, Web of Science, Scopus, IEEE, Google Scholar, and arXiv databases for publications asso…

Dive into semantic reranking at Berlin Buzzwords 2025! Athanasios Papaoikonomou will explore how different models and reranking depths impact search performance, revealing important patterns and the real-world efficiency vs. effectiveness trade-off.
Learn more: https://

Exploring reranking depth in modern search pipelines
The use of semantic reranking on top of a ‘cheaper’ retrieval step becomes more and more common in modern search applications. It offers a different cost quality profile to semantic retrieval trading indexing time compute for retrieval time compute. The depth represents the number of documents that we select to retrieve and feed into the reranking model in order to optimise their ordering. Intuitively, there is a “natural” trade-off between the uplift we can achieve by operating on an i…

On the Duality of Task and Actor Programming Models
Rohan Yadav, Joseph Guman, Sean Treichler, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer
https://arxiv.org/abs/2508.16522

On the Duality of Task and Actor Programming Models
Programming models for distributed and heterogeneous machines are rapidly growing in popularity to meet the demands of modern workloads. Task and actor models are common choices that offer different trade-offs between development productivity and achieved performance. Task-based models offer better productivity and composition of software, whereas actor-based models routinely deliver better peak performance due to lower overheads. While task-based and actor-based models appear to be different s…

Une exposition prolongée Š de faibles concentrations de PFAS peut perturber les fonctions cérébrales, endommager les neurones et altérer la mémoire et le comportement des souris, selon une récente recherche.
#PFAS

A recent post about a library publishing guidelines on citing genAI got me thinking about when that might be appropriate (rarely) or not (almost always), and what those cites should look like when they are needed. I have a new post talking about why genAI output shouldn’t be cited in most cases and, for when they must be, giving examples from common style guides.

Citing material generated by LLMs and chatbots
A recent post on Bluesky lamenting a university library publishing guidelines for citing generative AI (genAI) got me thinking about why one would want to do that in the first place and then, assuming there's a valid reason, what that citation should look like. So, that's what I'm exploring today.

OpenNav: Open-World Navigation with Multimodal Large Language Models
Mingfeng Yuan, Letian Wang, Steven L. Waslander
https://arxiv.org/abs/2507.18033 https://

OpenNav: Open-World Navigation with Multimodal Large Language Models
Pre-trained large language models (LLMs) have demonstrated strong common-sense reasoning abilities, making them promising for robotic navigation and planning tasks. However, despite recent progress, bridging the gap between language descriptions and actual robot actions in the open-world, beyond merely invoking limited predefined motion primitives, remains an open challenge. In this work, we aim to enable robots to interpret and decompose complex language instructions, ultimately synthesizing a…

Your ATs to Ts: MITRE ATT&CK Attack Technique to P-SSCRM Task Mapping
Sivana Hamer, Jacob Bowen, Md Nazmul Haque, Chris Madden, Laurie Williams
https://arxiv.org/abs/2507.18037

Your ATs to Ts: MITRE ATT&CK Attack Technique to P-SSCRM Task Mapping
The MITRE Adversarial Tactics, Techniques and Common Knowledge (MITRE ATT&CK) Attack Technique to Proactive Software Supply Chain Risk Management Framework (P-SSCRM) Task mapping described in this document helps software organizations to determine how different tasks mitigate the attack techniques of software supply chain attacks. The mapping was created through four independent strategies to find agreed-upon mappings. Because each P-SSCRM task is mapped to one or more tasks from the 10 framewo…

SCENIC: A Location-based System to Foster Cognitive Development in Children During Car Rides
Liuqing Chen, Yaxuan Song, Ke Lyu, Shuhong Xiao, Yilang Shen, Lingyun Sun
https://arxiv.org/abs/2508.17058

SCENIC: A Location-based System to Foster Cognitive Development in Children During Car Rides
Car-riding is common for children in modern life. Given the repetitive nature of daily commutes, they often feel bored and turn to electronic devices for entertainment. Meanwhile, the rich and dynamic scenery outside the car naturally attracts children's curiosity and offers valuable resources for cognitive development. Our formative study reveals that parents' support during car rides is often fleeting, as accompanying adults may struggle to consistently guide children's exploration. To addres…

plant_pol_vazquez: Vazquez & Simberloff plant-pollinator webs
Eight bipartite networks of plants and pollinators, from the Nahuel Huapi National Park and surrounding areas in Rio Negro, Argentina, from September 1999 to Feburary 2000. Edge weights represent the frequency of species interaction, and there is a common set of vertices across all eight webs.
This network has 144 nodes and 51 edges.
Tags: Biological, Food web, Weighted, Multilayer

LLM-based Embedders for Prior Case Retrieval
Damith Premasiri, Tharindu Ranasinghe, Ruslan Mitkov
https://arxiv.org/abs/2507.18455 https://arxiv.org/pdf/25…

LLM-based Embedders for Prior Case Retrieval
In common law systems, legal professionals such as lawyers and judges rely on precedents to build their arguments. As the volume of cases has grown massively over time, effectively retrieving prior cases has become essential. Prior case retrieval (PCR) is an information retrieval (IR) task that aims to automatically identify the most relevant court cases for a specific query from a large pool of potential candidates. While IR methods have seen several paradigm shifts over the last few years, th…

Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach
Yifan Liao, Yuxin Cao, Yedi Zhang, Wentao He, Yan Xiao, Xianglong Du, Zhiyong Huang, Jin Song Dong
https://arxiv.org/abs/2508.15778

Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach
Deep learning-based lane detection (LD) plays a critical role in autonomous driving and advanced driver assistance systems. However, its vulnerability to backdoor attacks presents a significant security concern. Existing backdoor attack methods on LD often exhibit limited practical utility due to the artificial and conspicuous nature of their triggers. To address this limitation and investigate the impact of more ecologically valid backdoor attacks on LD models, we examine the common data poiso…

Some of our internal builds have been building with Xcode 26 betas since WWDC, but yesterday evening I went ahead and switched over everything else that isn't on a release branch, so we now have 50 targets building with beta 4.
The most common build issue we've run into in our code is declaring the size of a C array using `const int`, which we now declare as an `enum` as a stronger compile-time guarantee of its constant value:
- const int OFXMLIDLength = 11;
enum {…

General Linear-Quadratic Mean Field Stochastic Differential Game with Common Noise: a Direct Method
Yu Si, Jingtao Shi
https://arxiv.org/abs/2506.16779 htt…

General Linear-Quadratic Mean Field Stochastic Differential Game with Common Noise: a Direct Method
This paper investigates a class of general linear-quadratic mean field games with common noise, where the diffusion terms of the system contain the state variables, control variables, and the average state terms. We solve the problem using both the direct method and the fixed-point method in the paper. First, by using the variational method to solve a finite $N$-players game problem, we obtain the necessary and sufficient conditions for the centralized open-loop Nash equilibrium strategy. Subse…

Straggler-Resilient Federated Learning over A Hybrid Conventional and Pinching Antenna Network
Bibo Wu, Fang Fang, Ming Zeng, Xianbin Wang
https://arxiv.org/abs/2508.15821 https…

Straggler-Resilient Federated Learning over A Hybrid Conventional and Pinching Antenna Network
Leveraging pinching antennas in wireless network enabled federated learning (FL) can effectively mitigate the common "straggler" issue in FL by dynamically establishing strong line-of-sight (LoS) links on demand. This letter proposes a hybrid conventional and pinching antenna network (HCPAN) to significantly improve communication efficiency in the non-orthogonal multiple access (NOMA)-enabled FL system. Within this framework, a fuzzy logic-based client classification scheme is first proposed to…

Is anyone aware of publications or research on what sort of bugs LLM-generated or LLM-assisted code tends to have?
Like, we have a huge body of knowledge in the security community about how to audit human-generated codebases for the types of bugs that human developers commonly write.
But we don't have that kind of data yet (AFAIK) for the vibe-coded monstrosities all of us are going to be pentesting soon.
Gut feelings:
* There are some common threads and patterns …

Views: A Hardware-friendly Graph Database Model For Storing Semantic Information
Yanjun Yang, Adrian Wheeldon, Yihan Pan, Alex Serb
https://arxiv.org/abs/2508.18123 https://

Views: A Hardware-friendly Graph Database Model For Storing Semantic Information
The graph database (GDB) is an increasingly common storage model for data involving relationships between entries. Beyond its widespread usage in database industries, the advantages of GDBs indicate a strong potential in constructing symbolic artificial intelligences (AIs) and retrieval-augmented generation (RAG), where knowledge of data inter-relationships takes a critical role in implementation. However, current GDB models are not optimised for hardware acceleration, leading to bottlenecks in…

Bayesian community detection in assortative stochastic block model with unknown number of communities
Martina Amongero, Pierpaolo De Blasi
https://arxiv.org/abs/2506.19576

Bayesian community detection in assortative stochastic block model with unknown number of communities
Structured data in the form of networks is increasingly common in a number of fields, including social sciences, biology, physics, computer science, and many others. A key task in network analysis is community detection, which typically consists of dividing the nodes into groups such that nodes within a group are strongly connected, while connections between groups are relatively scarcer. A generative model well-suited for the formation of such communities is the assortative stochastic block mo…

Expanders in Models of Social Networks
Marc Kaufmann, Johannes Lengler, Ulysse Schaller, Konstantin Sturm
https://arxiv.org/abs/2506.19485 https://

Expanders in Models of Social Networks
A common model for social networks are Geometric Inhomogeneous Random Graphs (GIRGs), in which vertices draw a random position in some latent geometric space, and the probability of two vertices forming an edge depends on their geometric distance. The geometry may be modelled in two ways: either two points are defined as close if they are similar in all dimensions, or they are defined as close if they are similar in some dimensions. The first option is mathematically more natural since it can b…

Characterizing and Recognizing Twistedness
Oswin Aichholzer, Alfredo Garc\'ia, Javier Tejel, Birgit Vogtenhuber, Alexandra Weinberger
https://arxiv.org/abs/2508.16178 https:…

Characterizing and Recognizing Twistedness
In a simple drawing of a graph, any two edges intersect in at most one point (either a common endpoint or a proper crossing). A simple drawing is generalized twisted if it fulfills certain rather specific constraints on how the edges are drawn. An abstract rotation system of a graph assigns to each vertex a cyclic order of its incident edges. A realizable rotation system is one that admits a simple drawing such that at each vertex, the edges emanate in that cyclic order, and a generalized twist…

On $NP \cap coNP$ proof complexity generators
Jan Krajicek
https://arxiv.org/abs/2506.20221 https://arxiv.org/pdf/2506.20221

On $NP \cap coNP$ proof complexity generators
Motivated by the theory of proof complexity generators we consider the following $Σ^p_2$ search problem $\mbox{DD}_P$ determined by a propositional proof system $P$: given a $P$-proof $π$ of a disjunction $\bigvee_i α_i$, no two $α_i$ having an atom in common, find $i$ such that $α_i \in \mbox{TAUT}$. We formulate a hypothesis (ST) that for some strong proof system $P$ the problem $\mbox{DD}_P$ is not solvable in the student-teacher model with a p-time student and a constant number of ro…

I recently got a box of Taylors Yorkshire Biscuit Brew tea.
Being used with the common Lipton and similar common tea bags, I have a hard time to describe my shock 😳 actually tasting biscuits in it.
(I am no tea specialist or connoisseurs 🫖)

🇺🇦 #NowPlaying on #BBC6Music's #CerysMatthews
Common:
🎵 The Light
#Common
https://deejayslider.bandcamp.com/track/common-the-light
https://open.spotify.com/track/5NiUrZVKyLpsyj62Roq5FW

Power Allocation and RIS Elements Optimisation for Reconfigurable Intelligent Surfaces assisted RSMA
Abdullah Qayyum, Maziar Nekovee
https://arxiv.org/abs/2507.17419 https://

Power Allocation and RIS Elements Optimisation for Reconfigurable Intelligent Surfaces assisted RSMA
This paper proposes power allocation and the number of reconfigurable intelligent surfaces (RIS) elements optimisation in a RIS-assisted rate splitting multiple access (RSMA) system. The optimised RIS-RSMA (ORIS-RSMA) method determines the optimal number of RIS elements and the power allocation factors for both common and private parts of a message. Additionally, it maximises the sum rate while ensuring that a target common rate is satisfied. The performance of the proposed ORIS-RSMA is compare…

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey
Siyang Song, Yupeng Huo, Shiqing Tang, Jiaee Cheong, Rui Gao, Michel Valstar, Hatice Gunes
https://arxiv.org/abs/2506.18915

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey
Depression is a common mental illness across current human society. Traditional depression assessment relying on inventories and interviews with psychologists frequently suffer from subjective diagnosis results, slow and expensive diagnosis process as well as lack of human resources. Since there is a solid evidence that depression is reflected by various human internal brain activities and external expressive behaviours, early traditional machine learning (ML) and advanced deep learning (DL) mo…

Comparing the Architectures of Multiplanet Systems from Kepler, K2, and TESS Data
Robert Royer III, Jason H. Steffen
https://arxiv.org/abs/2506.20654 https…

Comparing the Architectures of Multiplanet Systems from Kepler, K2, and TESS Data
Exoplanet surveys like Kepler, TESS, and K2 have shown that planetary systems are common in our galaxy. These surveys, along with several others, have identified thousands of planetary candidates, with more than five thousand having already been confirmed. Many of these planetary systems host multiple planets. As we discover more multiplanet systems, notable trends begin to appear in the data. We use kernel density estimation (KDE) to analyze the period ratios of adjacent planet pairs in multip…

The horror of the mass starvation in Gaza and Sudan right now is beyond words. It’s hard to even know what to say about it.
These two famines have in common that they are the result of scorched-earth military campaigns targeting specific ethnic groups. All famines are human-made in this modern world, but these famines are •intentional•.
Who are we, we humans with our so-called civilization, if we still after all these years of trying cannot stop genocides in progress?

The compressible Neural Particle Method for Simulating Compressible Viscous Fluid Flows
Masato Shibukawa, Naoya Ozaki, Maximilien Berthet
https://arxiv.org/abs/2508.16916 https:…

The compressible Neural Particle Method for Simulating Compressible Viscous Fluid Flows
Particle methods play an important role in computational fluid dynamics, but they are among the most difficult to implement and solve. The most common method is smoothed particle hydrodynamics, which is suitable for problem settings that involve large deformations, such as tsunamis and dam breaking. However, the calculation can become unstable depending on the distribution of particles. In contrast, the neural particle method has high computational stability for various particle distributions i…

Surveying the Whirlpool at Arcseconds with NOEMA (SWAN): III. $^{13}$CO/C$^{18}$O ratio variations across the M51 galaxy
Ina Gali\'c, Mallory Thorp, Frank Bigiel, Eva Schinnerer, Jakob den Brok, Hao He, Mar\'ia J. Jim\'enez-Donaire, Lukas Neumann, Jerome Pety, Sophia K. Stuber, Antonio Usero, Ashley T. Barnes, Dario Colombo, Daniel A. Dale, Timothy A. Davis, J. E. M\'endez-Delgado, Hsi-An Pan, Miguel Querejeta, Thomas G. Williams

Surveying the Whirlpool at Arcseconds with NOEMA (SWAN): III. $^{13}$CO/C$^{18}$O ratio variations across the M51 galaxy
CO isotopologues are common tracers of the bulk molecular gas in extragalactic studies, providing insights into the physical and chemical conditions of the cold molecular gas, a reservoir for star formation. Since star formation occurs within molecular clouds, mapping CO isotopologues at cloud-scale is important to understanding the processes driving star formation. However, achieving this mapping at such scales is challenging and time-intensive. The Surveying the Whirlpool Galaxy at Arcseconds…

The NANOGrav 15 yr Data Set: Targeted Searches for Supermassive Black Hole Binaries
Nikita Agarwal, Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy G. Baier, Paul T. Baker, Bence Becsy, Laura Blecha, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, Rand Burnette, Robin Case, J. Andrew Casey-Clyde, Yu-Ting Chang, Maria Charisi, Shami Chatterjee, Tyler Cohen, Paolo Coppi, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kat…

The NANOGrav 15 yr Data Set: Targeted Searches for Supermassive Black Hole Binaries
We present the first catalog of targeted searches for continuous gravitational waves (CWs) from 114 active galactic nuclei (AGN) that may host supermassive black hole binaries (SMBHBs), using the NANOGrav 15 yr data set. By incorporating electromagnetic priors on sky location, distance, redshift, and CW frequency, our strain and chirp mass upper limits are on average 2.6$\times$ more constraining than sky-averaged limits. Bayesian model comparisons against a common uncorrelated red noise for th…

Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian
https://arxiv.org/abs/2508.16993

Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
Evolutionary Algorithms (EAs) have become the most popular tool for solving widely-existed multi-objective optimization problems. In Multi-Objective EAs (MOEAs), there is increasing interest in using an archive to store non-dominated solutions generated during the search. This approach can 1) mitigate the effects of population oscillation, a common issue in many MOEAs, and 2) allow for the use of smaller, more practical population sizes. In this paper, we analytically show that the archive can …

@… this is actually very common, I have seen that phrase many times.

this was common in NYC a decade ago, not sure what took it so long to come to SF. except it was a pet peeve of mine because I’d be looking for coffee shops open late and think I found one: turns out it’s a wine bar now
https://missionlocal.org/2025/06/sf-coffee-p…

How coffee and wine became San Francisco roommates
In San Francisco, wine bars and coffee pop-ups are doubling up, such as HI NRG and High Treason. Why hasn’t it been done more?

Do 1-dimensional metals prefer to form even-numbered van der Waals clusters ?
Subhojit Pal, John F. Dobson
https://arxiv.org/abs/2508.16214 https://arxiv.o…

Do 1-dimensional metals prefer to form even-numbered van der Waals clusters ?
Parallel quasi-one-dimensional metals are known to experience strong dispersion (van der Waals, vdW) interactions that fall off unusually slowly with separation between the metals. Examples include nanotube brushes, nano-wire arrays, and also common biological structures. In a many-stranded bundle, there are potentially strong multi-strand vdW interactions that go beyond a simple sum of negative (attractive) pairwise inter-strand energies. Perturbative analysis showed that these contributions a…

Search for an Anomalous Excess of Single Photons in the MicroBooNE Neutrino Experiment
Lee Hagaman
https://arxiv.org/abs/2506.18956 https://

Search for an Anomalous Excess of Single Photons in the MicroBooNE Neutrino Experiment
Neutrinos are some of the most elusive particles in the standard model, being incredibly common throughout the universe, but interacting with detectors incredibly rarely. Certain properties of neutrinos remain difficult to measure, including their masses, their CP violation properties, and whether or not they are their own antiparticles. Additionally, there have been several anomalous results in neutrino experiments which remain unexplained. MicroBooNE was built in order to study these anomalou…

\textsc{T-Mask}: Temporal Masking for Probing Foundation Models across Camera Views in Driver Monitoring
Thinesh Thiyakesan Ponbagavathi, Kunyu Peng, Alina Roitberg
https://arxiv.org/abs/2508.16207

\textsc{T-Mask}: Temporal Masking for Probing Foundation Models across Camera Views in Driver Monitoring
Changes of camera perspective are a common obstacle in driver monitoring. While deep learning and pretrained foundation models show strong potential for improved generalization via lightweight adaptation of the final layers ('probing'), their robustness to unseen viewpoints remains underexplored. We study this challenge by adapting image foundation models to driver monitoring using a single training view, and evaluating them directly on unseen perspectives without further adaptation. We benchma…

Benchmarking Training Paradigms, Dataset Composition, and Model Scaling for Child ASR in ESPnet
Anyu Ying, Natarajan Balaji Shankar, Chyi-Jiunn Lin, Mohan Shi, Pu Wang, Hye-jin Shim, Siddhant Arora, Hugo Van hamme, Abeer Alwan, Shinji Watanabe
https://arxiv.org/abs/2508.16576

Benchmarking Training Paradigms, Dataset Composition, and Model Scaling for Child ASR in ESPnet
Despite advancements in ASR, child speech recognition remains challenging due to acoustic variability and limited annotated data. While fine-tuning adult ASR models on child speech is common, comparisons with flat-start training remain underexplored. We compare flat-start training across multiple datasets, SSL representations (WavLM, XEUS), and decoder architectures. Our results show that SSL representations are biased toward adult speech, with flat-start training on child speech mitigating the…

Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
Benedetta Muscato, Lucia Passaro, Gizem Gezici, Fosca Giannotti
https://arxiv.org/abs/2506.20209 …

Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
In the realm of Natural Language Processing (NLP), common approaches for handling human disagreement consist of aggregating annotators' viewpoints to establish a single ground truth. However, prior studies show that disregarding individual opinions can lead can lead to the side effect of underrepresenting minority perspectives, especially in subjective tasks, where annotators may systematically disagree because of their preferences. Recognizing that labels reflect the diverse backgrounds, life …

At an All-In Podcast summit, President Trump said forcing AI firms to pay for each copyrighted work is "not doable", calling for "common sense" AI and IP rules (Deadline)
https://deadline.com/2025/07/trump-ai-action-plan-copyright-1236466617/

White House’s AI Action Plan Includes Rules On Ideological Bias And Calls For Removing Regulatory Barriers, But Makes No Comment On Copyright
The plan does not address the use of copyrighted material in training models.

🇺🇦 #NowPlaying on KEXP's #DriveTime
Common:
🎵 The Light (feat. Erykah Badu)
#Common
https://deejayslider.bandcamp.com/track/common-the-light
https://open.spotify.com/track/5NiUrZVKyLpsyj62Roq5FW

GelSLAM: A Real-time, High-Fidelity, and Robust 3D Tactile SLAM System
Hung-Jui Huang, Mohammad Amin Mirzaee, Michael Kaess, Wenzhen Yuan
https://arxiv.org/abs/2508.15990 https:…

GelSLAM: A Real-time, High-Fidelity, and Robust 3D Tactile SLAM System
Accurately perceiving an object's pose and shape is essential for precise grasping and manipulation. Compared to common vision-based methods, tactile sensing offers advantages in precision and immunity to occlusion when tracking and reconstructing objects in contact. This makes it particularly valuable for in-hand and other high-precision manipulation tasks. In this work, we present GelSLAM, a real-time 3D SLAM system that relies solely on tactile sensing to estimate object pose over long perio…

OpticalAging: Real-time Presbyopia Simulation for Inclusive Design via Tunable Lenses
Qing Zhang, Zixiong Su, Yoshihito Kondoh, Kazunori Asada, Thad Starner, Kai Kunze, Yuta Itoh, Jun Rekimoto
https://arxiv.org/abs/2506.19307

OpticalAging: Real-time Presbyopia Simulation for Inclusive Design via Tunable Lenses
Presbyopia, a common age-related vision condition affecting most people as they age, often remains inadequately understood by those unaffected. To help bridge the gap between abstract accessibility knowledge and a more grounded appreciation of perceptual challenges, this study presents OpticalAging, an optical see-through simulation approach. Unlike VR-based methods, OpticalAging uses dynamically controlled tunable lenses to simulate the first-person visual perspective of presbyopia's distance-…

Towards Recommending Usability Improvements with Multimodal Large Language Models
Sebastian Lubos, Alexander Felfernig, Gerhard Leitner, Julian Schwazer
https://arxiv.org/abs/2508.16165

Towards Recommending Usability Improvements with Multimodal Large Language Models
Usability describes a set of essential quality attributes of user interfaces (UI) that influence human-computer interaction. Common evaluation methods, such as usability testing and inspection, are effective but resource-intensive and require expert involvement. This makes them less accessible for smaller organizations. Recent advances in multimodal LLMs offer promising opportunities to automate usability evaluation processes partly by analyzing textual, visual, and structural aspects of softwa…

At an All-In Podcast summit, President Trump said forcing AI firms to pay for each copyrighted work is "not doable", calling for "common sense" AI and IP rules (Deadline)
https://deadline.com/2025/07/trump-ai-action-plan-copyright-1236466617/

Donald Trump Says AI Companies Can’t Be Expected To Pay For All Copyrighted Content Used In Their Training Models: “Not Do-Able”
The White House's AI Action Plan does not address copyright, but Trump did.

Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision
KMA Solaiman, Bharat Bhargava
https://arxiv.org/abs/2506.20070 https://…

Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision
Existing multi-media retrieval models either rely on creating a common subspace with modality-specific representation models or require schema mapping among modalities to measure similarities among multi-media data. Our goal is to avoid the annotation overhead incurred from considering retrieval as a supervised classification task and re-use the pretrained encoders in large language models and vision tasks. We propose "FemmIR", a framework to retrieve multimodal results relevant to information …

Maximum principle for discrete-time robust stochastic optimal control problem
Wei He
https://arxiv.org/abs/2508.17249 https://arxiv.org/pdf/2508.17249

Maximum principle for discrete-time robust stochastic optimal control problem
This paper firstly presents the necessary and sufficient conditions for a kind of discrete-time robust stochastic optimal control problem with convex control domains. As it is an "inf sup problem", the classical variational method is invalid. We obtain the variational inequality with a common reference probability by systematically using weak convergence approach and the minimax theorem. Moreover, a discrete-time robust investment problem is also studied where the explicit optimal control is gi…

FlexMUSE: Multimodal Unification and Semantics Enhancement Framework with Flexible interaction for Creative Writing
Jiahao Chen, Zhiyong Ma, Wenbiao Du, Qingyuan Chuai
https://arxiv.org/abs/2508.16230 …

FlexMUSE: Multimodal Unification and Semantics Enhancement Framework with Flexible interaction for Creative Writing
Multi-modal creative writing (MMCW) aims to produce illustrated articles. Unlike common multi-modal generative (MMG) tasks such as storytelling or caption generation, MMCW is an entirely new and more abstract challenge where textual and visual contexts are not strictly related to each other. Existing methods for related tasks can be forcibly migrated to this track, but they require specific modality inputs or costly training, and often suffer from semantic inconsistencies between modalities. Th…

Codeword-Segmentation Rate-Splitting Multiple Access and Evaluation under Suboptimal Decoding
Sibo Zhang, Bruno Clerckx, David Vargas
https://arxiv.org/abs/2506.17164

Codeword-Segmentation Rate-Splitting Multiple Access and Evaluation under Suboptimal Decoding
Rate-Splitting Multiple Access (RSMA) has been recognized as a promising multiple access technique. We propose a novel architecture for downlink RSMA, namely Codeword-Segmentation RSMA (CS-RSMA). Different from conventional RSMA which splits users' messages into common and private parts before encoding, CS-RSMA encodes the users' messages directly, segments the codewords into common and private parts, and transmits the codeword segments using common and private streams. In addition to the princ…

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset
Rachel Hong, Jevan Hutson, William Agnew, Imaad Huda, Tadayoshi Kohno, Jamie Morgenstern
https://arxiv.org/abs/2506.17185

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset
We investigate the contents of web-scraped data for training AI systems, at sizes where human dataset curators and compilers no longer manually annotate every sample. Building off of prior privacy concerns in machine learning models, we ask: What are the legal privacy implications of web-scraped machine learning datasets? In an empirical study of a popular training dataset, we find significant presence of personally identifiable information despite sanitization efforts. Our audit provides concr…

Clustering Tails in High Dimension
Liujun Chen, Marco Oesting, Chen Zhou
https://arxiv.org/abs/2506.19414 https://arxiv.org/pdf/2506.…

Clustering Tails in High Dimension
One potential solution to combat the scarcity of tail observations in extreme value analysis is to integrate information from multiple datasets sharing similar tail properties, for instance, a common extreme value index. In other words, for a multivariate dataset, we intend to group dimensions into clusters first, before applying any pooling techniques. This paper addresses the clustering problem for a high dimensional dataset, according to their extreme value indices. We propose an iterative…

NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
Maryam Ghasemzadeh, Anton van Beek
https://arxiv.org/abs/2508.16476

NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
Multi-objective Bayesian optimization (MOBO) struggles with sparse (non-space-filling), scarce (limited observations) datasets affected by experimental uncertainty, where identical inputs can yield varying outputs. These challenges are common in physical and simulation experiments (e.g., randomized medical trials and, molecular dynamics simulations) and are therefore incompatible with conventional MOBO methods. As a result, experimental resources are inefficiently allocated, leading to suboptim…

adjnoun: Word adjacencies of David Copperfield
A network of word adjacencies of common adjectives and nouns in the novel "David Copperfield" by Charles Dickens.
This network has 112 nodes and 425 edges.
Tags: Informational, Language, Unweighted
https://networks.skewed.de/net/adjnoun

Properties and Expressivity of Linear Geometric Centralities
Paolo Boldi, Flavio Furia, Chiara Prezioso
https://arxiv.org/abs/2506.19670 https://

Properties and Expressivity of Linear Geometric Centralities
Centrality indices are used to rank the nodes of a graph by importance: this is a common need in many concrete situations (social networks, citation networks, web graphs, for instance) and it was discussed many times in sociology, psychology, mathematics and computer science, giving rise to a whole zoo of definitions of centrality. Although they differ widely in nature, many centrality measures are based on shortest-path distances: such centralities are often referred to as geometric. Geometric…

When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs
Ammar Khairi, Daniel D'souza, Ye Shen, Julia Kreutzer, Sara Hooker
https://arxiv.org/abs/2506.20544

When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs
Recent advancements in large language models (LLMs) have shifted focus toward scaling inference-time compute, improving performance without retraining the model. A common approach is to sample multiple outputs in parallel, and select one of these as the final output. However, work to date has focused on English and a handful of domains such as math and code. In contrast, we are most interested in techniques that generalize across open-ended tasks, formally verifiable tasks, and across languages…

In-person and telephone town halls used to be a common way for members of Congress to connect with constituents following a busy session.
Earlier this year, though, the NRCC urged Republicans to avoid town halls altogether
— and those lawmakers seem to be listening.
Take the tense scene inside a packed auditorium in Lincoln, Nebraska, recently,
where Republican Rep. Mike Flood faced hundreds of constituents during an August 4 town hall.
"How can you justi…

Enhancing Galaxy Classification with U-Net Variational Autoencoders for Image Denoising
Sergey Mirzoyan
https://arxiv.org/abs/2506.19434 https://

Enhancing Galaxy Classification with U-Net Variational Autoencoders for Image Denoising
AI-enhanced approaches are becoming common in astronomical data analysis, including in the galaxy morphological classification. In this study we develop an approach that enhances galaxy classification by incorporating an image denoising pre-processing step, utilizing the U-Net Variational Autoencoder (VAE) architecture and effectively mitigating noise in galaxy images and leading to improved classification performance. Our methodology involves training U-Net VAEs on the EFIGI dataset. To simula…

"I'm Petting the Laptop, Which Has You Inside It": Reflecting on Lived Experiences of Online Friendship
Seraphina Yong, Ashlee Milton, Evan Suma Rosenberg, Stevie Chancellor, Svetlana Yarosh
https://arxiv.org/abs/2506.20055

"I'm Petting the Laptop, Which Has You Inside It": Reflecting on Lived Experiences of Online Friendship
Online(-only) friendships have become increasingly common in daily lives post-COVID despite debates around their mental health benefits and equivalence to ''real'' relationships. Previous research has reflected a need to understand how online friends engage beyond individual platforms, and the lack of platform-agnostic inquiry limits our ability to fully understand the dynamics of online friendship. We employed an activity-grounded analysis of 25 interviews on lived experiences of close online …

Evaluation of facial landmark localization performance in a surgical setting
Ines Frajtag, Marko \v{S}vaco, Filip \v{S}uligoj
https://arxiv.org/abs/2507.18248 https://

Evaluation of facial landmark localization performance in a surgical setting
The use of robotics, computer vision, and their applications is becoming increasingly widespread in various fields, including medicine. Many face detection algorithms have found applications in neurosurgery, ophthalmology, and plastic surgery. A common challenge in using these algorithms is variable lighting conditions and the flexibility of detection positions to identify and precisely localize patients. The proposed experiment tests the MediaPipe algorithm for detecting facial landmarks in a …

Assessing continuous common-shock risk through matrix distributions
Martin Bladt, Oscar Peralta, Jorge Yslas
https://arxiv.org/abs/2507.15637 https://

Assessing continuous common-shock risk through matrix distributions
We introduce a class of continuous-time bivariate phase-type distributions for modeling dependencies from common shocks. The construction uses continuous-time Markov processes that evolve identically until an internal common-shock event, after which they diverge into independent processes. We derive and analyze key risk measures for this new class, including joint cumulative distribution functions, dependence measures, and conditional risk measures. Theoretical results establish analytically tr…

A systematic characterisation of canopy density based on turbulent-structure penetration
Zishen Chen, Ricardo Garc\'ia-Mayoral
https://arxiv.org/abs/2506.19223

A systematic characterisation of canopy density based on turbulent-structure penetration
Turbulent flows over canopies of rigid elements with different geometries and Reynolds numbers (Re) are investigated to identify and characterise different canopy density regimes. In the sparse regime, turbulence penetrates relatively unhindered within the canopy, whereas in the dense regime, the penetration is limited. A common measure of canopy density is the ratio of frontal to bed area, the frontal density $λ_f$. This is effective for canopies with no preferential orientation, but we obser…

Exploring Developer Experience Factors in Software Ecosystems
Rodrigo Oliveira Zacarias, L\'eo Carvalho Ramos Antunes, M\'arcio de Oliveira Barros, Rodrigo Pereira dos Santos, Patricia Lago
https://arxiv.org/abs/2506.19757

Exploring Developer Experience Factors in Software Ecosystems
Context: Developer experience (DX) plays a key role in developers' performance and their continued involvement in a software ecosystem (SECO) platform. While researchers and practitioners have recognized several factors affecting DX in SECO platforms, a clear roadmap of the most influential factors is still missing. This is particularly important given the direct impact on developers' interest in SECO and their ongoing engagement with the common technological platform. Goal: This work aims to i…

HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images
Anilkumar Swamy, Vincent Leroy, Philippe Weinzaepfel, Jean-S\'ebastien Franco, Gr\'egory Rogez
https://arxiv.org/abs/2508.16465

HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images
Hand-object 3D reconstruction has become increasingly important for applications in human-robot interaction and immersive AR/VR experiences. A common approach for object-agnostic hand-object reconstruction from RGB sequences involves a two-stage pipeline: hand-object 3D tracking followed by multi-view 3D reconstruction. However, existing methods rely on keypoint detection techniques, such as Structure from Motion (SfM) and hand-keypoint optimization, which struggle with diverse object geometrie…

A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering
Lin Li, Chunyang Li, Yu Yin, Xiaohui Tao, Jianwei Zhang
https://arxiv.org/abs/2508.16516 https://

A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering
In the realm of collaborative filtering recommendation systems, Graph Neural Networks (GNNs) have demonstrated remarkable performance but face significant challenges in deployment on resource-constrained edge devices due to their high embedding parameter requirements and computational costs. Using common quantization method directly on node embeddings may overlooks their graph based structure, causing error accumulation during message passing and degrading the quality of quantized embeddings.To…

Chapter 7 Multi-Criteria Decision-Making: Reference-Type Methods
Zhiyuan Wang, Gade Pandu Rangaiah
https://arxiv.org/abs/2508.16087 https://arxiv.org/pdf/2…

Chapter 7 Multi-Criteria Decision-Making: Reference-Type Methods
This chapter describes selected reference-type multi-criteria decision-making (MCDM) methods that rank alternatives by comparing them with one or more reference solutions derived from an alternatives-criteria matrix (ACM). After explaining the idea of constructing positive ideal, negative ideal and/or average reference solutions, the chapter details the algorithmic steps of each method, illustrating them with a common ACM example. The 9 methods covered are: Technique for Order of Preference by …

Symmetric Private Information Retrieval (SPIR) on Graph-Based Replicated Systems
Shreya Meel, Sennur Ulukus
https://arxiv.org/abs/2507.17736 https://arxiv.…

Symmetric Private Information Retrieval (SPIR) on Graph-Based Replicated Systems
We introduce the problem of symmetric private information retrieval (SPIR) on replicated databases modeled by a simple graph. In this model, each vertex corresponds to a server, and a message is replicated on two servers if and only if there is an edge between them. We consider the setting where the server-side common randomness necessary to accomplish SPIR is also replicated at the servers according to the graph, and we call this as message-specific common randomness. In this setting, we estab…

LLM-as-classifier: Semi-Supervised, Iterative Framework for Hierarchical Text Classification using Large Language Models
Doohee You, Andy Parisi, Zach Vander Velden, Lara Dantas Inojosa
https://arxiv.org/abs/2508.16478

LLM-as-classifier: Semi-Supervised, Iterative Framework for Hierarchical Text Classification using Large Language Models
The advent of Large Language Models (LLMs) has provided unprecedented capabilities for analyzing unstructured text data. However, deploying these models as reliable, robust, and scalable classifiers in production environments presents significant methodological challenges. Standard fine-tuning approaches can be resource-intensive and often struggle with the dynamic nature of real-world data distributions, which is common in the industry. In this paper, we propose a comprehensive, semi-supervise…

Multinomial thresholded LASSO for interpretable dimension reduction of human activity sequences
Zuofu Huang, Yingling Fan, James Hodges, Julian Wolfson
https://arxiv.org/abs/2507.17900

Multinomial thresholded LASSO for interpretable dimension reduction of human activity sequences
The widespread collection of data from mobile and wearable devices has created unprecedented opportunities to study human behavior in fine temporal resolution. One common structure for such data is categorical sequences: ordered, multinomial observations across many time points. These sequences present unique statistical challenges due to their high dimensionality and complex temporal dependence, including both short- and long-term correlations. Yet, there has been relatively little methodologi…

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 72 nodes and 1089 edges.
Tags: Social, Offline, Weighted, Projection

Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating Assessment
Fengshun Wang, Qiurui Wang, Peilin Zhao
https://arxiv.org/abs/2508.16291

Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating Assessment
Technical Element Score (TES) and Program Component Score (PCS) evaluations in figure skating demand precise assessment of athletic actions and artistic interpretation, respectively. Existing methods face three major challenges. Firstly, video and audio cues are regarded as common features for both TES and PCS predictions in previous works without considering the prior evaluation criterion of figure skating. Secondly, action elements in competitions are separated in time, TES should be derived …

User Understanding of Privacy Permissions in Mobile Augmented Reality: Perceptions and Misconceptions
Viktorija Paneva, Verena Winterhalter, Franziska Augustinowski, Florian Alt
https://arxiv.org/abs/2506.20207

User Understanding of Privacy Permissions in Mobile Augmented Reality: Perceptions and Misconceptions
Mobile Augmented Reality (AR) applications leverage various sensors to provide immersive user experiences. However, their reliance on diverse data sources introduces significant privacy challenges. This paper investigates user perceptions and understanding of privacy permissions in mobile AR apps through an analysis of existing applications and an online survey of 120 participants. Findings reveal common misconceptions, including confusion about how permissions relate to specific AR functionali…

Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping
Dexuan He, Xiao Zhou, Wenbin Guan, Liyuan Zhang, Xiaoman Zhang, Sinuo Xu, Ge Wang, Lifeng Wang, Xiaojun Yuan, Xin Sun, Yanfeng Wang, Kun Sun, Ya Zhang, Weidi Xie
https://arxiv.org/abs/2508.15904

Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping
Rare cancers comprise 20-25% of all malignancies but face major diagnostic challenges due to limited expert availability-especially in pediatric oncology, where they represent over 70% of cases. While pathology vision-language (VL) foundation models show promising zero-shot capabilities for common cancer subtyping, their clinical performance for rare cancers remains limited. Existing multi-instance learning (MIL) methods rely only on visual features, overlooking cross-modal knowledge and compro…

Spherical latent space models for social network analysis
Juan Sosa, Carlos Nosa
https://arxiv.org/abs/2508.16556 https://arxiv.org/pdf/2508.16556

Spherical latent space models for social network analysis
This article introduces a spherical latent space model for social network analysis, embedding actors on a hypersphere rather than in Euclidean space as in standard latent space models. The spherical geometry facilitates the representation of transitive relationships and community structure, naturally captures cyclical patterns, and ensures bounded distances, thereby mitigating degeneracy issues common in traditional approaches. Bayesian inference is performed via Markov chain Monte Carlo method…