Tootfinder

Generalizable Geometric Image Caption Synthesis
Yue Xin, Wenyuan Wang, Rui Pan, Ruida Wang, Howard Meng, Renjie Pi, Shizhe Diao, Tong Zhang
https://arxiv.org/abs/2509.15217 http…

Generalizable Geometric Image Caption Synthesis
Multimodal large language models have various practical applications that demand strong reasoning abilities. Despite recent advancements, these models still struggle to solve complex geometric problems. A key challenge stems from the lack of high-quality image-text pair datasets for understanding geometric images. Furthermore, most template-based data synthesis pipelines typically fail to generalize to questions beyond their predefined templates. In this paper, we bridge this gap by introducing…

Gradient-Based Inverse Optimization of Atom-Chip Wire Currents for BEC Transport
Naoki Shibuya
https://arxiv.org/abs/2508.11712 https://arxiv.org/pdf/2508.…

Gradient-Based Inverse Optimization of Atom-Chip Wire Currents for BEC Transport
Modulating wire currents to shift a magnetic trap along an atom chip enables smooth contact-free delivery of Bose-Einstein condensates but can deform the confinement profile causing parametric heating and atom loss. We introduce a fast simulation framework based on inverse optimization that, given an initial trap and a predefined trajectory over time, computes a wire current schedule that transports the atoms and restores the trap geometry upon arrival. We assess trap's minimum energy, lateral …

Puffed-up Inner Rings and Razor-thin Outer Rings in Structured Protoplanetary Disks
Haochang Jiang, Feng Long, Enrique Mac\'ias, Myriam Benisty, Kiyoaki Doi, Cornelis P. Dullemond, Ryan A. Loomis, Ilaria Pascucci, Sebasti\'an P\'erez, Shangjia Zhang, Zhaohuan Zhu
https://arxiv.org/abs/2509.13122…

Puffed-up Inner Rings and Razor-thin Outer Rings in Structured Protoplanetary Disks
The vertical distribution of pebbles in protoplanetary disks is a fundamental property influencing planet formation, from dust aggregation to the assembly of planetary cores. In the outer region of protoplanetary disks, the intensity of the optically thin but geometrically thick dust ring decreases along the minor axis due to reduced line-of-sight optical depth. Multi-ring disks thus provide an excellent opportunity to study the radial variation of the vertical properties of dust. We investigat…

Next-generation soliton frequency combs in photonic-crystal and nanocomposite microresonators
Haixin Liu, Alexa Carollo, Jizhao Zang, Scott B. Papp
https://arxiv.org/abs/2508.13393

Next-generation soliton frequency combs in photonic-crystal and nanocomposite microresonators
Microresonator frequency combs offer tremendous opportunity to advance applications in fundamental research and technology by linking the optical and microwave frequency domains. Kerr-nonlinear microresonators further enable the generation of portable, integrated optical frequency combs, which are called microcombs. However, the dispersion engineering usually suffers from the small, geometric parameter space, and achieving soliton microcombs is challenging and usually requires complicated exper…

Myopic Optimality: why reinforcement learning portfolio management strategies lose money
Yuming Ma
https://arxiv.org/abs/2509.12764 https://arxiv.org/pdf/2…

Myopic Optimality: why reinforcement learning portfolio management strategies lose money
Myopic optimization (MO) outperforms reinforcement learning (RL) in portfolio management: RL yields lower or negative returns, higher variance, larger costs, heavier CVaR, lower profitability, and greater model risk. We model execution/liquidation frictions with mark-to-market accounting. Using Malliavin calculus (Clark-Ocone/BEL), we derive policy gradients and risk shadow price, unifying HJB and KKT. This gives dual gap and convergence results: geometric MO vs. RL floors. We quantify phantom …

BIM Informed Visual SLAM for Construction Monitoring
Asier Bikandi, Miguel Fernandez-Cortizas, Muhammad Shaheer, Ali Tourani, Holger Voos, Jose Luis Sanchez-Lopez
https://arxiv.org/abs/2509.13972

BIM Informed Visual SLAM for Construction Monitoring
Simultaneous Localization and Mapping (SLAM) is a key tool for monitoring construction sites, where aligning the evolving as-built state with the as-planned design enables early error detection and reduces costly rework. LiDAR-based SLAM achieves high geometric precision, but its sensors are typically large and power-demanding, limiting their use on portable platforms. Visual SLAM offers a practical alternative with lightweight cameras already embedded in most mobile devices. however, visually …

Revisiting the maximum mass limit of strange stars in higher-order curvature-matter coupled gravity
Debadri Bhattacharjee, Pradip Kumar Chattopadhyay
https://arxiv.org/abs/2508.10524

Revisiting the maximum mass limit of strange stars in higher-order curvature-matter coupled gravity
We explore the maximum mass limit of strange stars within the framework of modified gravity described by $f(\tilde{R},T)=R+αR^{2}+2βT$, where $R$ is the Ricci scalar and $T$ denotes the trace of the energy-momentum tensor. The parameters $α$ and $β$ characterise the contributions from higher-order curvature terms and the coupling between matter and geometry, respectively. By deriving the Tolman-Oppenheimer-Volkoff equations from the modified field equations and applying the MIT bag model eq…

Thermal diffusivity characterization of impacted composites using evaporative cryocooling excitation and inverse physics-informed neural networks
Pengfei Zhu, Hai Zhang, Stefano Sfarra, Fabrizio Sarasini, Rub\'en Usamentiaga, Gunther Steenackers, Clemente Ibarra-Castanedo, Xavier Maldague
https://arxiv.org/abs/2509.10898

Thermal diffusivity characterization of impacted composites using evaporative cryocooling excitation and inverse physics-informed neural networks
The thermal diffusivity measurement of impacted composites using pulsed methods presents an ill-posed inverse problem influenced by multiple factors such as sample thickness, cooling duration, and excitation energy. In this study, a novel excitation method, evaporative cryocooling, was introduced for measuring the thermal diffusivity of tested samples. Compared to conventional excitation modalities, evaporative cryocooling excitation is compact, portable, and low cost. However, evaporative cryo…

Modal Geometry Governs Proteoform Dynamics
James N. Cobley
https://arxiv.org/abs/2508.20004 https://arxiv.org/pdf/2508.20004…

Modal Geometry Governs Proteoform Dynamics
A central mystery is how a specific proteoform, a distinct molecular variant of a protein, dynamically shapes its own future by evolving into new modes that exist only in potential until realised. Here, Modal Geometric Field (MGF) Theory couples real and abstract proteoform transitions through four axioms. Axioms one-three (invariant) dictate that only first-order transitions occur on the discrete, volume invariant, non symplectic modal manifold. Axiom four (mutable) functorially projects the g…

Forecast-Driven MPC for Decentralized Multi-Robot Collision Avoidance
Hadush Hailu, Bruk Gebregziabher, Prudhvi Raj
https://arxiv.org/abs/2508.08264 https://

Forecast-Driven MPC for Decentralized Multi-Robot Collision Avoidance
The Iterative Forecast Planner (IFP) is a geometric planning approach that offers lightweight computations, scal- able, and reactive solutions for multi-robot path planning in decentralized, communication-free settings. However, it struggles in symmetric configurations, where mirrored interactions often lead to collisions and deadlocks. We introduce eIFP-MPC, an optimized and extended version of IFP that improves robustness and path consistency in dense, dynamic environments. The method refines…