arXiv:2602.12441v1 Announce Type: new Abstract: Whole slide images (WSIs) enable weakly supervised prognostic modeling via multiple instance learning (MIL). Spatial transcriptomics (ST) preserves in situ gene expression, providing a spatial molecular context that complements morphology. As paired WSI-ST cohorts scale to population level, leveraging their complementary spatial signals for prognosis becomes crucial; however, principled cross-modal fusion strategies remain limited for this paradigm. To this end, we introduce PathoSpatial, an interpretable end-to-end framework integrating co-registered WSIs and ST to […]

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arXiv:2601.00148v1 Announce Type: new Abstract: School Campus emergency communication systems are vital for safeguarding student safety during sudden disasters such as typhoons, which frequently cause widespread paralysis of communication infrastructure. Traditional Delay-Tolerant Network (DTN) protocols, such as Direct Delivery and First Contact, struggle to maintain reliable connections in such scenarios due to high latency and low delivery rates. This paper proposes the Activity-based First Contact (A-FC) protocol, an innovative routing scheme that leverages real-world social roles to overcome […]

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arXiv:2601.00092v1 Announce Type: new Abstract: 4D spatial intelligence involves perceiving and processing how objects move or change over time. Humans naturally possess 4D spatial intelligence, supporting a broad spectrum of spatial reasoning abilities. To what extent can Multimodal Large Language Models (MLLMs) achieve human-level 4D spatial intelligence? In this work, we present Spatial4D-Bench, a versatile 4D spatial intelligence benchmark designed to comprehensively assess the 4D spatial reasoning abilities of MLLMs. Unlike existing spatial intelligence benchmarks that are often […]

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You’re not bad at planning. Your calendar is packed with appointments, meal schedules, and activities that look perfectly organized. But somehow, those carefully laid plans vanish between your phone screen and real life. The truth is, most households struggle with execution, not planning. Everyone knows what needs to happen. Yet nobody takes action because the information lives in scattered places. A calendar app here, a sticky note there, and verbal reminders everywhere create chaos. This isn’t about downloading […]

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arXiv:2601.12146v1 Announce Type: new Abstract: Large Language Models have demonstrated a remarkable capability in natural language and program generation and software development. However, the source code generated by the LLMs does not always meet quality requirements and may fail to compile. Therefore, many studies evolve into agents that can reason about the problem before generating the source code for the solution. The goal of this paper is to study the degree to which such agents benefit from access […]

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One-sentence summary I describe the risk of personality self-replicators, the threat of OpenClaw-like agents managing spreading in hard-to-control ways.   Summary LLM agents like OpenClaw are defined by a small set of text files and are run by an open source framework which leverages LLMs for cognition. It is quite difficult for current frontier models to exfiltrate their weights and run elsewhere, whereas these agents only need to copy those few text files to self-replicate (at the cost of greater […]

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After building more than a few dozen web applications, I keep noticing the same thing: as frontend developers, we often make projects more complicated than they need to be. We bring in heavy libraries just to cover a couple of features. We add abstractions that end up confusing even us. We do not keep an eye on unnecessary re-renders. We do not think about bundle size. And then we wonder why the project has become slow, awkward, and […]

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arXiv:2603.28809v1 Announce Type: new Abstract: Selecting appropriate values for the configurable parameters of Database Management Systems (DBMS) to improve performance is a significant challenge. Recent machine learning (ML)-based tuning systems have shown strong potential, but their practical adoption is often limited by the high tuning cost. This cost arises from two main factors: (1) the system needs to evaluate a large number of configurations to identify a satisfactory one, and (2) for each configuration, the system must execute […]

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