arXiv:2603.00669v1 Announce Type: new Abstract: Sustainability disclosure standards (e.g., GRI, SASB, TCFD, IFRS S2) are comprehensive yet lengthy, terminology-dense, and highly cross-referential, hindering structured analysis and downstream use. We present SSKG Hub (Sustainability Standards Knowledge Graph Hub), a research prototype and interactive web platform that transforms standards into auditable knowledge graphs (KGs) through an LLM-centered, expert-guided pipeline. The system integrates automatic standard identification, configurable chunking, standard-specific prompting, robust triple parsing, and provenance-aware Neo4j storage with fine-grained audit metadata. […]

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arXiv:2603.28792v1 Announce Type: new Abstract: For the purposes of electric circuit simulation, we consider an iterative simulation model based on solving systems of linear equations by Gauss-Jordan elimination (GJE) for individual moments in time. To accelerate the simulation, we propose two independent novel approaches: a parallel GJE algorithm and partial system reduction prior to the start of iterations. The former is based on a well-known strategy applied for the first time in this context, whereas the latter, to […]

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arXiv:2601.21324v1 Announce Type: new Abstract: Distributionally robust optimisation (DRO) minimises the worst-case expected loss over an ambiguity set that can capture distributional shifts in out-of-sample environments. While Huber (linear-vacuous) contamination is a classical minimal-assumption model for an $varepsilon$-fraction of arbitrary perturbations, including it in an ambiguity set can make the worst-case risk infinite and the DRO objective vacuous unless one imposes strong boundedness or support assumptions. We address these challenges by introducing bulk-calibrated credal ambiguity sets: we learn […]

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arXiv:2601.12179v1 Announce Type: new Abstract: Modern language models like GPT-3, BERT, and LLaMA require massive training data, yet with sufficient training they reliably learn to distinguish grammatical from ungrammatical sentences. Children aged as young as 14 months already have the capacity to learn abstract grammar rules from very few exemplars, even in the presence of non-rule-following exceptions. Yang’s (2016) Tolerance Principle defines a precise threshold for how many exceptions a rule can tolerate and still be learnable. The […]

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arXiv:2602.04904v1 Announce Type: new Abstract: Multimodal fusion faces two robustness challenges: noisy inputs degrade representation quality, and missing modalities cause prediction failures. We propose DCER, a unified framework addressing both challenges through dual-stage compression and energy-based reconstruction. The compression stage operates at two levels: within-modality frequency transforms (wavelet for audio, DCT for video) remove noise while preserving task-relevant patterns, and cross-modality bottleneck tokens force genuine integration rather than modality-specific shortcuts. For missing modalities, energy-based reconstruction recovers representations via […]

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Gen Z isn’t “the future” audience anymore. They are the growth engine right now. By 2026, the brands that win with Gen Z won’t just market products—they’ll build communities that shape culture and commerce together. As a CMO working with Gen Z–first brands, I’ve seen a consistent pattern emerge: campaigns can still go viral, but the brands that build fandoms, not funnels, grow more efficiently and stick around longer. For years, marketers treated Gen Z like a puzzle: […]

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:::info Astounding Stories of Super-Science February, 2026, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Moors and the Fens, volume 1 (of 3) – Chapter V: Renders a Change of Abode necessary. Astounding Stories of Super-Science February 2026: The Moors and the Fens, volume 1 (of 3) – Chapter V Renders a Change of Abode necessary By J. H. Riddell ::: Death and poverty—perpetual travellers, […]

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arXiv:2603.16919v1 Announce Type: new Abstract: Gastric interoception influences eating behavior and emotions, making its modulation valuable for healthcare and human-computer-interaction applications. However, whether gastric interoception can be modulated noninvasively in humans remains unclear. While previous research indicates that abdominal-sound-driven haptic feedback resembles gut sensations, its impact on feelings and gastric interoceptive behavior is unknown. We conducted three experiments totalling 55 participants to investigate how gut-sound-driven audio-haptic feedback applied to the stomach (1) affects user’s feelings (2) influences perception […]

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