Tootfinder

Q&A with Coinbase CEO Brian Armstrong on starting the company, battling North Korean hackers, stablecoin adoption, the GENIUS Act, pro-crypto Congress, and more (John Collison/Cheeky Pint)
https://cheekypint.substack.com/p/coinbase-ceo-brian-armstrong-on-bitcoin…

Coinbase CEO Brian Armstrong on bitcoin going to $1 million, electing a pro-crypto Congress, and Jamie Dimon
Brian Armstrong joins John Collison to talk about what’s happening behind the scenes at Coinbase: battling North Korean hackers, war stories from early scaling, confronting people who won’t use AI to code, Coinbase becoming people’s primary financial account, and why banks are now embracing crypto.

VLA-Mark: A cross modal watermark for large vision-language alignment model
Shuliang Liu, Qi Zheng, Jesse Jiaxi Xu, Yibo Yan, He Geng, Aiwei Liu, Peijie Jiang, Jia Liu, Yik-Cheung Tam, Xuming Hu
https://arxiv.org/abs/2507.14067

VLA-Mark: A cross modal watermark for large vision-language alignment model
Vision-language models demand watermarking solutions that protect intellectual property without compromising multimodal coherence. Existing text watermarking methods disrupt visual-textual alignment through biased token selection and static strategies, leaving semantic-critical concepts vulnerable. We propose VLA-Mark, a vision-aligned framework that embeds detectable watermarks while preserving semantic fidelity through cross-modal coordination. Our approach integrates multiscale visual-textua…

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Shilong Li, Xingyuan Bu, Wenjie Wang, Jiaheng Liu, Jun Dong, Haoyang He, Hao Lu, Haozhe Zhang, Chenchen Jing, Zhen Li, Chuanhao Li, Jiayi Tian, Chenchen Zhang, Tianhao Peng, Yancheng He, Jihao Gu, Yuanxing Zhang, Jian Yang, Ge Zhang, Wenhao Huang, Wangchunshu Zhou, Zhaoxiang Zhang, Ruizhe Ding, Shilei Wen

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
AI agents with advanced reasoning and tool use capabilities have demonstrated impressive performance in web browsing for deep search. While existing benchmarks such as BrowseComp evaluate these browsing abilities, they primarily focus on textual information, overlooking the prevalence of multimodal content. To bridge this gap, we introduce MM-BrowseComp, a novel benchmark comprising 224 challenging, hand-crafted questions specifically designed to assess agents' multimodal retrieval and reasonin…

Tropical regions of near mass-shell pentabox
A. V. Belitsky, V. A. Smirnov
https://arxiv.org/abs/2508.14298 https://arxiv.org/pdf/2508.14298

Tropical regions of near mass-shell pentabox
Coulomb branch amplitudes of maximally supersymmetric Yang-Mills theory display infrared properties different from their conformal counterparts. While the four-leg amplitude is known to very high perturbative orders, amplitudes of higher multiplicity fall into an uncharted territory starting already from two loops. The reason for this is that they are not easily amenable to traditional techniques like canonical differential equations due to the uncontrolled swelling of solutions to integration-…

G$^2$RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance
Yongxin Guo, Wenbo Deng, Zhenglin Cheng, Xiaoying Tang
https://arxiv.org/abs/2508.13023 https://

G$^2$RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance
Reinforcement Learning with Verifiable Rewards (RLVR) has markedly enhanced the reasoning abilities of large language models (LLMs). Its success, however, largely depends on strong base models with rich world knowledge, yielding only modest improvements for small-size language models (SLMs). To address this limitation, we investigate Guided GRPO, which injects ground-truth reasoning steps into roll-out trajectories to compensate for SLMs' inherent weaknesses. Through a comprehensive study of va…

SN 2024hpj: a perspective on SN 2009ip-like events
I. Salmaso, A. Pastorello, E. Borsato, S. Benetti, M. T. Botticella, Y. -Z. Cai, N. Elias-Rosa, A. Farina, M. Fraser, L. Galbany, M. Gonz\'alez-Ba\~nuelos, C. P. Guti\'errez, P. Lundqvist, T. Kangas, T. L. Killestein, T. Kravtsov, K. Matilainen, A. Morales-Garoffolo, A. Mura, G. Pignata, A. Reguitti, T. M. Reynolds, S. Smartt, S. Srivastav, L. Tartaglia, G. Valerin, Z. -Y. Wang

SN 2024hpj: a perspective on SN 2009ip-like events
Supernovae (SNe) IIn are terminal explosions of massive stars that are surrounded by a dense circumstellar medium (CSM). Among SNe IIn, a notable subset is the SNe 2009ip-like, which exhibit an initial, fainter peak attributed to stellar variability in the late evolutionary stages, followed by a brighter peak, interpreted as the SN explosion itself. We analyse the spectrophotometric evolution of SN 2024hpj, a SN IIn with signs of precursor activity. Comparing it with similar objects in the lite…

Mathematics education research must be useful for the classroom
Anthony A. Essien, Tanya Evans, Maitree Inprasitha, Salome Martinez Salanzar, Demetra Pitta-Pantazi
https://arxiv.org/abs/2508.14433

Mathematics education research must be useful for the classroom
The theme of the PME-48 conference, Making sure that mathematics education research reaches the classroom, highlights a key concern: not all mathematics education research informs classroom practice. This raises several fundamental questions: Which research fails to reach the classroom? Why? And should all research be expected to do so? Accordingly, it is fitting that the plenary panel engages with these important issues by debating the following motion: Mathematics education research must be u…

Crypto exchange BigONE confirms a $27M hack from a hot wallet exploit, plans to pay back users and is working with security firm SlowMist to trace stolen assets (Shaurya Malwa/CoinDesk)
https://www.coindesk.com/markets/2025/07/1

Crypto Exchange BigONE Confirms $27M Hack, Vows Full User Compensation
BigONE is working with blockchain security firm SlowMist to track the stolen assets, with fund tracing already underway across Bitcoin, Ethereum, Tron, Solana, and BNB Chain.

Replaced article(s) found for cond-mat.mes-hall. https://arxiv.org/list/cond-mat.mes-hall/new
[1/1]:
- Compromise-Free Scaling of Qubit Speed and Coherence
Miguel J. Carballido, et al.

Scaling Learned Image Compression Models up to 1 Billion
Yuqi Li, Haotian Zhang, Li Li, Dong Liu, Feng Wu
https://arxiv.org/abs/2508.09075 https://arxiv.or…

Scaling Learned Image Compression Models up to 1 Billion
Recent advances in large language models (LLMs) highlight a strong connection between intelligence and compression. Learned image compression, a fundamental task in modern data compression, has made significant progress in recent years. However, current models remain limited in scale, restricting their representation capacity, and how scaling model size influences compression performance remains unexplored. In this work, we present a pioneering study on scaling up learned image compression mode…