Tootfinder

Advancing credibility and transparency in brain-to-image reconstruction research: Reanalysis of Koide-Majima, Nishimoto, and Majima https://arxiv.org/abs/2511.07960 by @… et al.;

Advancing credibility and transparency in brain-to-image reconstruction research: Reanalysis of Koide-Majima, Nishimoto, and Majima (Neural Networks, 2024)
A recent high-profile study by Koide-Majima et al. (2024) claimed a major advance in reconstructing visual imagery from brain activity using a novel variant of a generative AI-based method. However, our independent reanalysis reveals multiple methodological concerns that raise questions about the validity of their conclusions. Specifically, our evaluation demonstrates that: (1) the reconstruction results are biased by selective reporting of only the best-performing examples at multiple levels; …

VQArt-Bench: A semantically rich VQA Benchmark for Art and Cultural Heritage
A. Alfarano (University of Zurich, Max Planck Society), L. Venturoli (University of Zurich, Max Planck Society), D. Negueruela del Castillo (University of Zurich, Max Planck Society)
https://arxiv.org/abs/2510.12750

VQArt-Bench: A semantically rich VQA Benchmark for Art and Cultural Heritage
Multimodal Large Language Models (MLLMs) have demonstrated significant capabilities in joint visual and linguistic tasks. However, existing Visual Question Answering (VQA) benchmarks often fail to evaluate deep semantic understanding, particularly in complex domains like visual art analysis. Confined to simple syntactic structures and surface-level attributes, these questions fail to capture the diversity and depth of human visual inquiry. This limitation incentivizes models to exploit statisti…

Generative Multi-Sensory Meditation: Exploring Immersive Depth and Activation in Virtual Reality
Yuyang Jiang, Binzhu Xie, Lina Xu, Xiaokang Lei, Shi Qiu, Luwen Yu, Pan Hui
https://arxiv.org/abs/2510.11830

Generative Multi-Sensory Meditation: Exploring Immersive Depth and Activation in Virtual Reality
Mindfulness meditation has seen increasing applications in diverse domains as an effective practice to improve mental health. However, the standardized frameworks adopted by most applications often fail to cater to users with various psychological states and health conditions. This limitation arises primarily from the lack of personalization and adaptive content design. To address this, we propose MindfulVerse, an AI-Generated Content (AIGC)-driven application to create personalized and immersi…

VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering
Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang

VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering
Retrieval-Augmented Generation (RAG) is becoming increasingly essential for Question Answering (QA) in the financial sector, where accurate and contextually grounded insights from complex public disclosures are crucial. However, existing financial RAG systems face two significant challenges: (1) they struggle to process heterogeneous data formats, such as text, tables, and figures; and (2) they encounter difficulties in balancing general-domain applicability with company-specific adaptation. To…

🚨 New preprint out🚨 now, why has Antarctica stopped (net) losing mass?
We explore how declining sea ice but mostly increasingly heavy and frequent atmospheric rivers have actually led to a small increase in the mass of #Antarctica, in spite of increased discharge from outlet glaciers.
The increase is unlikely to be sustained, and a small increase in calving or discharge over the grounding line can easily turn it upside down, but nevertheless another long-term prediction about the Antarctic appears to becoming true.
Lots of important subtleties in this one!
In review at Nature communications but I feel it's too important to wait for the review process.
https://arxiv.org/abs/2510.03590

The Hubble constant from the improved lens modeling of cluster-lensed supernova Refsdal with new spectroscopic redshifts and the Jackknife method
Yuting Liu, Masamune Oguri
https://arxiv.org/abs/2509.09979

The Hubble constant from the improved lens modeling of cluster-lensed supernova Refsdal with new spectroscopic redshifts and the Jackknife method
Time-delay cosmology offers an alternative approach to measuring the Hubble constant ($H_0$), which is distinct from the cosmic distance ladder and cosmic microwave background radiation methods. In this study, we present an improved strong lens mass modeling analysis of the cluster-lensed supernova Refsdal, incorporating the latest spectroscopic redshift data from the MUSE on the Very Large Telescope and the James Webb Space Telescope CANUCS/Technicolor. The robustness of our lens models is con…

TOI-3288 b and TOI-4666 b: two gas giants transiting low-mass stars characterised by NIRPS
Yolanda G. C. Frensch, Fran\c{c}ois Bouchy, Gaspare Lo Curto, Alexandrine L'Heureux, Roseane de Lima Gomes, Jo\~ao Faria, Xavier Dumusque, Lison Malo, Marion Cointepas, Avidaan Srivastava, Xavier Bonfils, Elisa Delgado-Mena, Nicola Nari, Khaled Al Moulla, Romain Allart, Jose M. Almenara, \'Etienne Artigau, Khalid Barkaoui, Fr\'ed\'erique Baron, Susana C. C. Barros, Bj\"orn Be…

TOI-3288 b and TOI-4666 b: two gas giants transiting low-mass stars characterised by NIRPS
Gas giant planets orbiting low-mass stars are uncommon outcomes of planet formation. Increasing the sample of well-characterised giants around early M dwarfs will enable population-level studies of their properties, offering valuable insights into their formation and evolutionary histories. We aim to characterise giant exoplanets transiting M dwarfs identified by TESS. High-resolution spectroscopic data are obtained in the optical and nIR, combining HARPS and NIRPS. We derive RVs via the cross-…

Delayed 1T to 2H Phase Transition Upon Electrochemical Delithiation of LiMoS2
Yerin Hong, Juhwan Lim, Jinhong Min, Nishkarsh Agarwal, Robert Hovden, Ageeth A. Bol, Yiyang Li
https://arxiv.org/abs/2510.10911

Delayed 1T to 2H Phase Transition Upon Electrochemical Delithiation of LiMoS2
Molybdenum disulfide (MoS2) is a widely studied layered material for electronic, optical, and catalytic applications. It can host lithium ions between the van der Waals layers, which triggers a phase transition between the semiconducting 2H phase and metallic 1T phase. While lithium insertion triggers a phase transition to the 1T phase, the phase behavior upon electrochemical lithium removal is not resolved. In this work, we conduct single-flake electrochemical (de)lithiation of MoS2 using micr…

Large cities lose their growth edge as urban systems mature
Andrea Musso, Diego Rybski, Dirk Helbing, Frank Neffke
https://arxiv.org/abs/2510.12417 https://

Large cities lose their growth edge as urban systems mature
From 1975 to 2025, urban populations have become increasingly concentrated in large cities. On average across countries, the share of urban residents living in cities with over one million people rose from 18\% in 1975 to 39\% in 2025. Will this trend towards greater concentration in large cities continue or level off? We introduce two new city population datasets that use consistent city definitions across countries and over time. The first covers the world between 1975 and 2025, using satelli…

Are diffusion models ready for materials discovery in unexplored chemical space?
Sanghyun Kim, Gihyeon Jeon, Seungwoo Hwang, Jiho Lee, Jisu Jung, Seungwu Han, Sungwoo Kang
https://arxiv.org/abs/2510.09406

Are diffusion models ready for materials discovery in unexplored chemical space?
While diffusion models are attracting increasing attention for the design of novel materials, their ability to generate low-energy structures in unexplored chemical spaces has not been systematically assessed. Here, we evaluate the performance of two diffusion models, MatterGen and DiffCSP, against three databases: a ternary oxide set (constructed by a genetic algorithm), a ternary nitride set (constructed by template informatics), and the GNoME database (constructed by a combination of both). …