Tootfinder

I am, in point of fact, a particularly haughty and exclusive person, of
pre-Adamite ancestral descent. You will understand this when I tell you
that I can trace my ancestry back to a protoplasmal primordial atomic
globule. Consequently, my family pride is something inconceivable. I
can't help it. I was born sneering.
-- Pooh-Bah, "The Mikado"

Optimal Portfolio Construction -- A Reinforcement Learning Embedded Bayesian Hierarchical Risk Parity (RL-BHRP) Approach
Shaofeng Kang, Zeying Tian
https://arxiv.org/abs/2508.11856

Optimal Portfolio Construction -- A Reinforcement Learning Embedded Bayesian Hierarchical Risk Parity (RL-BHRP) Approach
We propose a two-level, learning-based portfolio method (RL-BHRP) that spreads risk across sectors and stocks, and adjusts exposures as market conditions change. Using U.S. Equities from 2012 to mid-2025, we design the model using 2012 to 2019 data, and evaluate it out-of-sample from 2020 to 2025 against a sector index built from exchange-traded funds and a static risk-balanced portfolio. Over the test window, the adaptive portfolio compounds wealth by approximately 120 percent, compared with 1…

FairVizARD: A Visualization System for Assessing Multi-Party Fairness of Ride-Sharing Matching Algorithms
Ashwin Kumar, Sanket Shah, Meghna Lowalekar, Pradeep Varakantham, Alvitta Ottley, William Yeoh
https://arxiv.org/abs/2508.11770

FairVizARD: A Visualization System for Assessing Multi-Party Fairness of Ride-Sharing Matching Algorithms
There is growing interest in algorithms that match passengers with drivers in ride-sharing problems and their fairness for the different parties involved (passengers, drivers, and ride-sharing companies). Researchers have proposed various fairness metrics for matching algorithms, but it is often unclear how one should balance the various parties' fairness, given that they are often in conflict. We present FairVizARD, a visualization-based system that aids users in evaluating the fairness of rid…

MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
Zhipeng Bian, Jieming Zhu, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong
https://arxiv.org/abs/2509.13773

MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
The rapid advancement of generative AI technologies is driving the integration of diverse AI-powered services into smartphones, transforming how users interact with their devices. To simplify access to predefined AI services, this paper introduces MIRA, a pioneering framework for task instruction recommendation that enables intuitive one-touch AI tasking on smartphones. With MIRA, users can long-press on images or text objects to receive contextually relevant instruction recommendations for exe…

Testing and benchmarking emerging supercomputers via the MFC flow solver
Benjamin Wilfong, Anand Radhakrishnan, Henry A. Le Berre, Tanush Prathi, Stephen Abbott, Spencer H. Bryngelson
https://arxiv.org/abs/2509.13575

Testing and benchmarking emerging supercomputers via the MFC flow solver
Deploying new supercomputers requires testing and evaluation via application codes. Portable, user-friendly tools enable evaluation, and the Multicomponent Flow Code (MFC), a computational fluid dynamics (CFD) code, addresses this need. MFC is adorned with a toolchain that automates input generation, compilation, batch job submission, regression testing, and benchmarking. The toolchain design enables users to evaluate compiler-hardware combinations for correctness and performance with limited s…

Multiple Giant Impacts and Chemical Equilibria: An Integrated Approach to Rocky Planet Formation
Haruya Maeda, Takanori Sasaki
https://arxiv.org/abs/2509.12713 https://

Multiple Giant Impacts and Chemical Equilibria: An Integrated Approach to Rocky Planet Formation
During the formation of rocky planets, the surface environments of growing protoplanets were dramatically different from those of present-day planets. The release of gravitational energy during accretion would have maintained a molten surface layer, forming a magma ocean. Simultaneously, sufficiently massive protoplanets could acquire hydrogen-rich proto-atmospheres by capturing gas from the protoplanetary disk. Chemical equilibration among the atmosphere, magma ocean, and iron core plays a key…

#PeerTube v7.3 is out!
https://joinpeertube.org/news/release-7.3

PeerTube v7.3 is out! | JoinPeerTube
Facilitating the adoption of software is a long-term endeavour involving several stages. We are proud to present to you few of them that PeerTube has ...

Prompt: “Three movies that are similar to Zatoichi but not the most popular ones”.
Likewise.com gives what seems to be a predefined list as changes to the last part are not influencing the result.
Gemini (2.5 Flash): 3 movies from the 70s. I believe they are good recommendations.
ChatGPT: 3 options from the late 60s. I believe they are also good recommendations.
In the end I chose to watch “The Twilight Samurai” 2002.

PARROT: Portable Android Reproducible traffic Observation Tool
Andrea Jimenez-Berenguel, Celeste Campo, Marta Moure-Garrido, Carlos Garcia-Rubio, Daniel D\'iaz-Sanchez, Florina Almenares
https://arxiv.org/abs/2509.09537

PARROT: Portable Android Reproducible traffic Observation Tool
The rapid evolution of mobile security protocols and limited availability of current datasets constrains research in app traffic analysis. This paper presents PARROT, a reproducible and portable traffic capture system for systematic app traffic collection using Android Virtual Devices. The system provides automated environment setup, configurable Android versions, traffic recording management, and labeled captures extraction with human-in-the-loop app interaction. PARROT integrates mitmproxy fo…

TransLink’s PrideBus returns in playful 16-bit style
Extra SkyTrain service and bus detours on Sunday for Pride Parade
TransLink’s iconic PrideBus will be featured in the 47th annual Vancouver Pride Parade on Sunday, August 3. TransLink staff will also be marching alongside the PrideBus to celebrate the 2SLGBTQIA communities.