arXiv:2603.06710v1 Announce Type: new Abstract: Mining specifications from execution traces presents an automated way of capturing characteristic system behaviors. However, existing approaches are largely restricted to Boolean abstractions of events, limiting their ability to express data-aware properties. In this paper, we extend mining procedures to operate over richer datatypes. We first establish candidate functions in our domain that cover the set of traces by leveraging Syntax Guided Synthesis (SyGuS) techniques. To capture these function applications temporally, we formalize […]

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If you’ve ever wrapped a multiline string in textwrap.dedent() and wondered why Python can’t just handle that for you, then your PEP has arrived. PEP 822 proposes d-strings, a new d”””…””” prefix that automatically strips leading indentation. It’s one of those small quality-of-life ideas that make you wonder why it didn’t exist already. The PEP is currently a draft proposal. March also delivered Python 3.15.0 alpha 7 with lazy imports you can finally test and security patches across […]

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arXiv:2602.08552v1 Announce Type: cross Abstract: Subjective ratings contain inherent noise that limits the model-human correlation, but this reliability issue is rarely quantified. In this paper, we present $rho$-Perfect, a practical estimation of the highest achievable correlation of a model on subjectively rated datasets. We define $rho$-Perfect to be the correlation between a perfect predictor and human ratings, and derive an estimate of the value based on heteroscedastic noise scenarios, a common occurrence in subjectively rated datasets. We show […]

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arXiv:2604.09757v1 Announce Type: new Abstract: Medical vision–language models (VLMs) have shown strong potential for medical visual question answering (VQA), yet their reasoning remains largely text-centric: images are encoded once as static context, and subsequent inference is dominated by language. This paradigm is fundamentally limited in clinical scenarios, where accurate answers often depend on subtle, localized visual evidence that cannot be reliably preserved in static embeddings. We propose textsc{MedLVR}, a latent visual reasoning framework that introduces an explicit visual […]

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arXiv:2505.11006v5 Announce Type: replace Abstract: We demonstrate how supervised learning can be decomposed into a two-stage procedure, where (1) all model parameters are selected in an unsupervised manner, and (2) the outputs y are added to the model, without changing the parameter values. This is achieved by a new model selection criterion that – in contrast to cross-validation – can be used also without access to y. For linear ridge regression, we bound the asymptotic out-of-sample risk of […]

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Victoria, Seychelles, March 17, 2026 CoinGecko recently released its CEX & DEX Trading Activity Report 2026, offering a comprehensive review of the new listings, trading volume, and market share performance of major exchanges from January 2025 to January 2026. The report highlights that MEXC ranked among the top in all three key metrics—number of listings, spot market share, and perpetual futures market share—reinforcing its strong competitive edge in both token coverage and trading volume. 1,281 New Listings in […]

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arXiv:2603.28946v1 Announce Type: new Abstract: We study a resource-sensitive fragment of the problem of extracting a logical discipline from a class of neural architectures by passing through categorization. The starting point is not a pre-existing logic but a category of zone-labelled parametrised blocks together with a disciplined record of which forms of copying, discarding, and zone coercion are architecturally licensed. From this categorized architecture we read off a subexponential signature and then define a tensorial sequent calculus whose […]

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Imagine telling Claude: “Reply ‘Running 10 minutes late’ to Sarah and attach that funny cat meme I just uploaded.” Seconds later — done. No switching apps. No copy-pasting. Everything stays local, private, and scripted through natural language. That’s exactly what whatsapp-mcp-go enables. This lightweight, pure-Go project bridges your personal WhatsApp account to Claude Desktop (or Cursor) via the Model Context Protocol (MCP). Claude can read chats, search contacts, send messages (text, images, voice notes), and download media — […]

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Long-chain reasoning is one of the most compute-intensive tasks in modern large language models. When a model like DeepSeek-R1 or Qwen3 works through a complex math problem, it can generate tens of thousands of tokens before arriving at an answer. Every one of those tokens must be stored in what is called the KV cache — a memory structure that holds the Key and Value vectors the model needs to attend back to during generation. The longer the […]

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