March 2026

arXiv:2603.00543v1 Announce Type: new Abstract: Pansharpening aims to generate high-resolution multi-spectral images by fusing the spatial detail of panchromatic images with the spectral richness of low-resolution MS data. However, most existing methods are evaluated under limited, low-resolution settings, limiting their generalization to real-world, high-resolution scenarios. To bridge this gap, we systematically investigate the data, algorithmic, and computational challenges of cross-scale pansharpening. We first introduce PanScale, the first large-scale, cross-scale pansharpening dataset, accompanied by PanScale-Bench, a comprehensive benchmark for […]

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arXiv:2603.00542v1 Announce Type: new Abstract: In real-world vision systems,haze removal is required not only to enhance image visibility but also to meet the specific needs of diverse downstream tasks.To address this challenge,we propose a novel adaptive dynamic dehazing framework that incorporates a closed-loop optimization mechanism.It enables feedback-driven refinement based on downstream task performance and user instruction-guided adjustment during inference,allowing the model to satisfy the specific requirements of multiple downstream tasks without retraining.Technically,our framework integrates two complementary and innovative […]

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arXiv:2603.00540v1 Announce Type: new Abstract: The evolution of Large Language Models (LLMs) from static instruction-followers to autonomous agents necessitates operating within complex, stateful environments to achieve precise state-transition objectives. However, this paradigm is bottlenecked by data scarcity, as existing tool-centric reverse-synthesis pipelines fail to capture the rigorous logic of real-world applications. We introduce textbf{LOGIGEN}, a logic-driven framework that synthesizes verifiable training data based on three core pillars: textbf{Hard-Compiled Policy Grounding}, textbf{Logic-Driven Forward Synthesis}, and textbf{Deterministic State Verification}. Specifically, […]

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arXiv:2603.00539v1 Announce Type: new Abstract: Large language models (LLMs) have become essential tools in software development, widely used for requirements engineering, code generation and review tasks. Software engineers often rely on LLMs to verify if code implementation satisfy task requirements, thereby ensuring code robustness and accuracy. However, it remains unclear whether LLMs can reliably determine code against the given task descriptions, which is usually in a form of natural language specifications. In this paper, we uncover a systematic […]

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arXiv:2603.00538v1 Announce Type: new Abstract: This paper introduces a new method for performing field transfer operations in black-box coupling, when source discretization information is not available. This approach uses a stochastic approximation of the Galerkin projection which leads to a method that asymptotically provides conservation. Error in the accuracy and conservation has been compared to the mesh intersection method and radial basis functions on a simple domain, as well as on meshes of the LTX fusion reactor. For […]

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Switzerland is using this year’s Winter Olympic Games in northern Italy to pitch its expertise in wearables, training tools, and equipment designed to elevate performance. Meanwhile, elite athletes are turning to Swiss innovations for a competitive edge, fueling the country’s rise as a hub for sport tech entrepreneurs; researchers and startups already count an Olympic medalist in Alpine skiing and national ice hockey players among those who’ve benefited from their developments. Supporters argue the country is uniquely positioned to lead the growing […]

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A study released by UK-based financial services comparison platform Confused.com in January found that 59% of Brits are using AI for medical self-diagnosis – and 20% even using ChatGPT as their mental health therapist. In terms of use cases, 63% of people in the UK use AI to search for physical or mental symptoms, while 50% check side effects, 38% research wellbeing techniques in diet and fitness, and 30% examine treatment options such as medication and surgery. A […]

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As Australia implemented a social media age restriction law requiring platforms like TikTok, Instagram, and YouTube to take “reasonable steps” to block Australians under 16 from creating or keeping accounts, the world waits and watches to see how it’ll play out. The ban aims to protect youth from harms like cyberbullying and mental health risks, though children can still view public content and use messaging apps, with platforms facing hefty fines for non-compliance. Is age-gating social media the […]

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Temporal difference (TD) learning is a fundamental algorithm for estimating value functions in reinforcement learning. Recent finite-time analyses of TD with linear function approximation quantify its theoretical convergence rate. However, they often require setting the algorithm parameters using problem-dependent quantities that are difficult to estimate in practice — such as the minimum eigenvalue of the feature covariance ((ω)) or the mixing time of the underlying Markov chain ((τ_{text{mix}})). In addition, some analyses rely on nonstandard and impractical modifications, […]

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