Tootfinder

Hey 2D artists (based in Ireland preferred)! JOB ALERT! 📣 Especially those who do cozy cartoony or pixel art.
I have some game dev friends here in Galway from Psychic Software (Just released Necromancer's Tale) that are looking for an artist to team up for their next game.
Send your portfolio over to psychicsoftware@gmail.com

A 4% withdrawal rate for retirement spending, derived from a discrete-time model of stochastic returns on assets
Drew M. Thomas
https://arxiv.org/abs/2508.10273 https://

A 4% withdrawal rate for retirement spending, derived from a discrete-time model of stochastic returns on assets
What grounds the rule of thumb that a(n American) retiree can safely withdraw 4% of their initial retirement wealth in their first year of retirement, then increase that rate of consumption with inflation? I investigate that question with a discrete-time model of returns to a retirement portfolio consumed at a rate that grows by $s$ per period. The model hinges on the parameter $γ$, an $s$-adjusted rate of return to wealth, derived from the first 2-4 moments of the portfolio's probability dist…

Your Token Becomes Worthless: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysis
Hao Wu, Haijun Wang, Shangwang Li, Yin Wu, Ming Fan, Wuxia Jin, Yitao Zhao, Ting Liu
https://arxiv.org/abs/2506.18398

Your Token Becomes Worthless: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysis
Rug pull scams have emerged as a persistent threat to cryptocurrency, causing significant financial losses. A typical scenario involves scammers deploying honeypot contracts to attract investments, restricting token sales, and draining the funds, which leaves investors with worthless tokens. Current methods either rely on predefined patterns to detect code risks or utilize statistical transaction data to train detection models. However, real-world Rug Pull schemes often involve a complex interp…

Making Leveraged Exchange-Traded Funds Work for your Portfolio
Peter Forsyth, Pieter van Staden, Yuying Li
https://arxiv.org/abs/2506.19200 https://…

Making Leveraged Exchange-Traded Funds Work for your Portfolio
We examine strategically incorporating broad stock market leveraged exchange-traded funds (LETFs) into investment portfolios. We demonstrate that easily understandable and implementable strategies can enhance the risk-return profile of a portfolio containing LETFs. Our analysis shows that seemingly reasonable investment strategies may result in undesirable Omega ratios, with these effects compounding across rebalancing periods. By contrast, relatively simple dynamic strategies that systematical…

SO emission in the dynamically perturbed protoplanetary disks around CQ Tau and MWC 758
Francesco Zagaria, Haochang Jiang, Gianni Cataldi, Stefano Facchini, Myriam Benisty, Yuri Aikawa, Sean Andrews, Jaehan Bae, Marcelo Barraza-Alfaro, Pietro Curone, Ian Czekala, Daniele Fasano, Cassandra Hall, Iain Hammond, Jane Huang, John D. Ilee, Andr\'es F. Izquierdo, Jensen Lawrence, Giuseppe Lodato, Fran\c{c}ois M\'enard, Christophe Pinte, Giovanni P. Rosotti, Jochen Stadler, Richard Tea…

SO emission in the dynamically perturbed protoplanetary disks around CQ Tau and MWC 758
We report the serendipitous detection of the SO $J_N=6_5-5_4$ (219.949 GHz) rotational transition in archival Atacama Large Millimeter/submillimeter Array (ALMA) observations of the spiral hosting protoplanetary disks around CQ Tau (with $\approx4.9σ$ significance) and MWC 758 (with $\approx3.4σ$ significance). In the former, the SO emission comes in the shape of a ring, arises from the edge of the continuum cavity, and is qualitatively consistent, at the currently available spectral resoluti…

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
https://arxiv.org/abs/2507.18224

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
Multi-agent systems (MAS) based on large language models (LLMs) have emerged as a powerful solution for dealing with complex problems across diverse domains. The effectiveness of MAS is critically dependent on its collaboration topology, which has become a focal point for automated design research. However, existing approaches are fundamentally constrained by their reliance on a template graph modification paradigm with a predefined set of agents and hard-coded interaction structures, significa…