Tootfinder

Did you know, President & CEO of CBS, which just bribed potus by settling a case and canceled Stephen Colbert's show, is named, not making this up, George Cheeks?
Sure they were bullied as a kid, but as CEO, George Cheeks laying down for fascists makes me theoretically ('cause violence is not a good answer) want to clap those cheeks (metaphorically slap him).
Stop returning Paramount & subsidiaries' (like CBS) calls. They wither w/no one to work for them. …

Focusing on Students, not Machines: Grounded Question Generation and Automated Answer Grading
G\'er\^ome Meyer, Philip Breuer
https://arxiv.org/abs/2506.12066

Focusing on Students, not Machines: Grounded Question Generation and Automated Answer Grading
Digital technologies are increasingly used in education to reduce the workload of teachers and students. However, creating open-ended study or examination questions and grading their answers is still a tedious task. This thesis presents the foundation for a system that generates questions grounded in class materials and automatically grades student answers. It introduces a sophisticated method for chunking documents with a visual layout, specifically targeting PDF documents. This method enhance…

Active viscoelastic condensates provide controllable mechanical anchor points
Oliver W. Paulin, J\'ulia Garcia-Baucells, Luise Zieger, Sebastian Aland, Alexander Dammermann, David Zwicker
https://arxiv.org/abs/2506.14591

Active viscoelastic condensates provide controllable mechanical anchor points
Many biological materials must couple mechanical strength with the ability to rapidly self-assemble at a specific location. In particular, biomolecular condensates readily self-assemble via phase separation, but may also need to resist external forces to fulfil their function. Spatial localisation of condensate formation can be controlled by active cores that preferentially drive the production of condensate material at a particular point, while resistance to external forces can be facilitated …

Befehlskette bis nach Damaskus https://www.german-foreign-policy.com/news/detail/10063

Primordial Black Holes are 5D
Luis A. Anchordoqui, Alek Bedroya, Dieter L\"ust
https://arxiv.org/abs/2506.14874 https://arxiv.or…

Primordial Black Holes are 5D
We revisit well-established mechanisms for primordial black hole (PBH) production, namely inflation, phase transitions, and cosmic strings, in the context of the Dark Dimension Scenario, which is motivated by Swampland principles. Applying quantum gravity constraints, we demonstrate that any viable mechanism, barring exotic new physics at low energies, inevitably leads to the formation of five-dimensional PBHs. We further show that PBHs formed from cosmic strings can have lifetimes comparable t…

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
Imdad Ullah, Najm Hassan, Tariq Ahamed Ahangar, Zawar Hussain Shah, Mehregan Mahdavi Andrew Levula
https://arxiv.org/abs/2506.13170

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
User profiling is crucial in providing personalised services, as it relies on analysing user behaviour and preferences to deliver targeted services. This approach enhances user experience and promotes heightened engagement. Nevertheless, user profiling also gives rise to noteworthy privacy considerations due to the extensive tracking and monitoring of personal data, potentially leading to surveillance or identity theft. We propose a dual-ring protection mechanism to protect user privacy by exam…

@… You are definitely missing out.
The question is whether that's worth it... no easy answer IMO.

Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches
Lukasz Mazur, Nenad Petrovic, James Pontes Miranda, Ansgar Radermacher, Robert Rasche, Alois Knoll
https://arxiv.org/abs/2506.13171

Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches
Large language models (LLMs) offer new opportunities for interacting with complex software artifacts, such as software models, through natural language. They present especially promising benefits for large software models that are difficult to grasp in their entirety, making traditional interaction and analysis approaches challenging. This paper investigates two approaches for leveraging LLMs to answer questions over software models: direct prompting, where the whole software model is provided …

Enhance Stability of Network by Edge Anchor
Hongbo Qiu, Renjie Sun, Chen chen, Xiaoyang Wang
https://arxiv.org/abs/2507.11090 https://

Enhance Stability of Network by Edge Anchor
With the rapid growth of online social networks, strengthening their stability has emerged as a key research focus. This study aims to identify influential relationships that significantly impact community stability. In this paper, we introduce and explore the anchor trussness reinforcement problem to reinforce the overall user engagement of networks by anchoring some edges. Specifically, for a given graph $G$ and a budget $b$, we aim to identify $b$ edges whose anchoring maximizes the trussnes…

Measuring Informativeness Gap of (Mis)Calibrated Predictors
Yiding Feng, Wei Tang
https://arxiv.org/abs/2507.12094 https://arxiv.org/…

Measuring Informativeness Gap of (Mis)Calibrated Predictors
In many applications, decision-makers must choose between multiple predictive models that may all be miscalibrated. Which model (i.e., predictor) is more "useful" in downstream decision tasks? To answer this, our first contribution introduces the notion of the informativeness gap between any two predictors, defined as the maximum normalized payoff advantage one predictor offers over the other across all decision-making tasks. Our framework strictly generalizes several existing notions: it subsu…