Sandbox

Welcome to the Sandbox! This page serves as a repository for various LaTeX to HTML conversion results. Below, you will find links to the conversion results submitted by anonymous users. Each link below corresponds to a specific LaTeX document that has been transformed into HTML format. Feel free to browse through these examples to see how different LaTeX documents have been transformed into HTML. These conversions showcase the versatility and capability of our conversion tool in handling diverse LaTeX inputs.

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Conversion Results

• Niobate-on-Niobate Resonators with Aluminum Electrodes
• Entity-level Factual Consistency of Abstractive Text Summarization
• QED effects on phase transition and Ruppeiner geometry of Euler-Heisenberg-AdS black holes
• 3D Pore-Scale Mixing Interface Evolution
• Merges of Smooth Classes and Their Properties
• Higher-order Topological Hyperbolic Lattices
• Progressive Depth Learning for Single Image Dehazing
• Oscillation in the temperature profile of the large-scale circulation of turbulent convection induced by a cubic container
• Traffic flow with multiple quenched disorders
• Physics of Smart Matter: integrating active matter and control to gain insights into living systems
• Towards a q-series for o​s​p​(2|2​n)osp(2|2n)
• Molecular dynamics study of the effect of moisture and porosity on thermal conductivity of tobermorite 14 Å
• A New Perspective for Shuttlecock Hitting Event Detection
• Towards a Low-SWaP 1024-beam Digital Array: A 32-beam Sub-System at 5.8 GHz
• Center group dominance in quark confinement
• LIVE: Learnable In-Context Vector for Visual Question Answering
• The effects of granulation and supergranulation on Earth-mass planet detectability in the habitable zone around F6-K4 stars.
• Discrete embedded solitary waves and breathers in one-dimensional nonlinear lattices
• Early-time millimeter observations of the nearby Type II SN 2024ggi
• Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling
• Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime
• Detecting Generated Images by Real Images Only
• Aerial-Ground Interference Mitigation for Cellular-Connected UAV
• Statistical distribution of HI 21cm intervening absorbers as potential cosmic acceleration probes
• Invertible Neural Skinning
• Few-shot Domain Adaptation by Causal Mechanism Transfer
• A Geometria da Regressão Linear
• Are neutrino oscillation mixings linked to the smallness of solar neutrino scale?
• Quarkonium production in pp and heavy-ion collisions
• A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models
• A simple and fast finite difference method for the integral fractional Laplacian of variable order
• Submodular + Concave  
• Examining the weak cosmic censorship conjecture by gedanken experiments for an Einstein-Maxwell-Dilaton-Axion black hole
• Loading Probability Distributions in a Quantum circuit
• On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks
• Towards Separating Computational and Statistical Differential Privacy
• SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models
• RED – Robust Environmental Design
• Incremental Task Learning with Incremental Rank Updates
• John is 50 years old, can his son be 65? Evaluating NLP Models’ Understanding of Feasibility
• May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy Method for Natural Language Generation
• Supplementary Materials: FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning
• Impact of ROS 2 Node Composition in Robotic Systems
• A “Galactic Disk”-Model for Three-Dimensional Bernstein-Greene-Kruskal Modes in a Finite Magnetic Field
• Stochastic Reweighted Gradient Descent
• Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
• Free-Form Composition Networks for Egocentric Action Recognition
• Inertia of two-qutrit entanglement witnesses
• Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery
• Byzantine-Robust Online and Offline Distributed Reinforcement Learning