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arXiv:2603.24606v1 Announce Type: new Abstract: We present a method for estimating the number of distinct values (NDV) of a column in columnar file formats, using only existing file metadata–no extra storage, no data access. Two complementary signals are exploited: (1)~inverting the dictionary-encoded storage size equation yields accurate NDV estimates when distinct values are well-spread across row groups; (2)~counting distinct min/max values across row groups and inverting a coupon collector model provides robust estimates for sorted or partitioned data. […]

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arXiv:2603.24597v1 Announce Type: new Abstract: We study algorithmic barriers to detecting and repairing a systematic form of structural overspecification in adaptive data-structure selection. An input instance induces an implied workload signature, such as ordering, sparsity, dynamism, locality, or substring structure, and candidate implementations may be preferred because they match that full signature even when the measured workload evidence supports only a strict subset of it. Under a model in which pairwise evaluators favor implementations that realize the implied […]

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arXiv:2603.24595v1 Announce Type: new Abstract: The widespread adoption of large language models (LLMs) has made GPU-accelerated inference a critical part of modern computing infrastructure. Production inference systems rely on CUDA kernels to implement core transformer operations, yet these kernels are highly susceptible to memory-safety bugs due to model-dependent tensor layouts, intricate memory indexing, and massive thread-level parallelism. Such bugs can corrupt model weights, crash inference services, or even enable adversarial attacks. Existing techniques either depend on unavailable hardware, […]

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We Rewrote JSONata with AI in a Day, Saved $500K/Year Bit of a hyperbolic framing but this looks like another case study of vibe porting, this time spinning up a new custom Go implementation of the JSONata JSON expression language – similar in focus to jq, and heavily associated with the Node-RED platform. As with other vibe-porting projects the key enabling factor was JSONata’s existing test suite, which helped build the first working Go version in 7 hours […]

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My minute-by-minute response to the LiteLLM malware attack Callum McMahon reported the LiteLLM malware attack to PyPI. Here he shares the Claude transcripts he used to help him confirm the vulnerability and decide what to do about it. Claude even suggested the PyPI security contact address after confirming the malicious code in a Docker container: Confirmed. Fresh download from PyPI right now in an isolated Docker container: Inspecting: litellm-1.82.8-py3-none-any.whl FOUND: litellm_init.pth SIZE: 34628 bytes FIRST 200 CHARS: import […]

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The use of satellite networks has increased significantly in recent years due to their advantages over purely terrestrial systems, such as higher availability and coverage. However, to effectively provide these services, satellite networks must cope with the continuous orbital movement and maneuvering of their nodes and the impact on the network’s topology. In this work, we address the problem of (dynamic) network topology configuration under the online learning framework. As a byproduct, our approach does not assume structure […]

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High infraction rates remain the primary bottleneck for end-to-end (E2E) autonomous driving, as evidenced by the low driving scores on the CARLA Leaderboard. Despite collision-related infractions being the dominant failure mode in closed-loop evaluations, collision-aware representation learning has received limited attention. To address this gap, we first develop a Video-Language-Augmented Anomaly Detector (VLAAD), leveraging a Multiple Instance Learning (MIL) formulation to obtain stable, temporally localized collision signals for proactive prediction. To transition these capabilities into closed-loop simulations, we […]

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I am a high school student who is trying to build a Gomoku reinforcement learning neural network with my friends, and we are looking forward to some advice/suggestions from experts. So if you have any suggestions on how we can improve our project, please comment, please and thank you! Github link: https://github.com/A44690/Gomoku-Bot submitted by /u/Reasonable-Try6148 [link] [comments]

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Visual Navigation Models (VNMs) promise generalizable, robot navigation by learning from large-scale visual demonstrations. Despite growing real-world deployment, existing evaluations rely almost exclusively on success rate, whether the robot reaches its goal, which conceals trajectory quality, collision behavior, and robustness to environmental change. We present a real-world evaluation of five state-of-the-art VNMs (GNM, ViNT, NoMaD, NaviBridger, and CrossFormer) across two robot platforms and five environments spanning indoor and outdoor settings. Beyond success rate, we combine path-based metrics with […]

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