arXiv:2602.06191v1 Announce Type: new Abstract: We study localization and control for unstable systems under coarse, single-bit sensing. Motivated by understanding the fundamental limitations imposed by such minimal feedback, we identify sufficient conditions under which the initial state can be recovered despite instability and extremely sparse measurements. Building on these conditions, we develop an active localization algorithm that integrates a set-based estimator with a control strategy derived from Voronoi partitions, which provably estimates the initial state while ensuring the […]

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Note that the main issues that people currently unknowingly face with local models mostly revolve around the harness and some intricacies around model chat templates and prompt construction. Sometimes there are even pure inference bugs. From typing the task in the client to the actual result, there is a long chain of components that atm are not only fragile – are also developed by different parties. So it’s difficult to consolidate the entire stack and you have to […]

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The GEneral Matrix Multiplication (GEMM) is one of the essential algorithms in scientific computing. Single-thread GEMM implementations are well-optimised with techniques like blocking and autotuning. However, due to the complexity of modern multi-core shared memory systems, it is challenging to determine the number of threads that minimises the multi-thread GEMM runtime. We present a proof-of-concept approach to building an Architecture and Data-Structure Aware Linear Algebra (ADSALA) software library that uses machine learning to optimise the runtime performance of […]

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arXiv:2603.28980v1 Announce Type: new Abstract: The synthesis of immersive 3D scenes from text is rapidly maturing, driven by novel video generative models and feed-forward 3D reconstruction, with vast potential in AR/VR and world modeling. While panoramic images have proven effective for scene initialization, existing approaches suffer from a trade-off between visual fidelity and explorability: autoregressive expansion suffers from context drift, while panoramic video generation is limited to low resolution. We present Stepper, a unified framework for text-driven immersive […]

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Learning the dynamic causal structure of time series is a challenging problem. Most existing approaches rely on distributional or structural invariance to uncover underlying causal dynamics, assuming stationary or partially stationary causality. However, these assumptions often conflict with the complex, time-varying causal relationships observed in real-world systems. This motivates the need for methods that address fully dynamic causality, where both instantaneous and lagged dependencies evolve over time. Such a setting poses significant challenges for the efficiency and stability […]

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Hi, I have couple of papers under consideration in OSDI ’26 and VLDB ’26 – and would like to pre-publish them in Arvix. Can anyone with endorsement rights in cs.DS or cs.AI or other related fields can please endorse me? https://arxiv.org/auth/endorse?x=6WMN8A Endorsement Code: 6WMN8A submitted by /u/rch0wdhury [link] [comments]

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The Elephant in Every WordPress Agency’s Room There are roughly 835 million websites on the internet. According to W3Techs, WordPress powers about 43% of them. That is not a niche platform. That is the infrastructure layer of the modern web. But here is the uncomfortable part: a staggering number of those WordPress sites have not been meaningfully updated in years. Not the core software updates (most hosts handle those automatically now), but the actual design, content structure, and […]

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