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111

arXiv:2512.16178v1 Announce Type: new
Abstract: Although traditional cameras are the primary sensor for end-to-end driving, their performance suffers greatly when the conditions of the data they were trained on does not match the deployment environment, a problem known as the domain gap. In this wo…
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319

arXiv:2508.00836v5 Announce Type: replace
Abstract: The rapid growth of preprint servers has accelerated scientific dissemination but has also shifted the technical burden of manuscript preparation to authors. This challenge is particularly acute in computational research, where manuscripts must re…
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111

arXiv:2512.16140v1 Announce Type: new
Abstract: We propose a hybrid reconstruction framework for dual-spectral CT (DSCT) that integrates iterative methods with deep learning models. The reconstruction process consists of two complementary components: a knowledge-driven module and a data-driven modu…
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230

arXiv:2512.16921v1 Announce Type: new
Abstract: Conventional evaluation methods for multimodal LLMs (MLLMs) lack interpretability and are often insufficient to fully disclose significant capability gaps across models. To address this, we introduce AuditDM, an automated framework that actively disco…
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318

arXiv:2511.00329v2 Announce Type: replace
Abstract: Much ethical evaluation treats actions dyadically: one agent acts on one recipient. In networked, platform-mediated environments, this lens misses how public acts diffuse. We introduce a minimal message-passing model in which an initiating act wit…
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223

arXiv:2512.16327v1 Announce Type: cross
Abstract: We consider the geometric problem of determining the maximum number $n_q(r,h,f;s)$ of $(h-1)$-spaces in the projective space $\operatorname{PG}(r-1,q)$ such that each subspace of codimension $f$ does contain at most $s$ elements. In coding theory te…
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121

arXiv:2512.16056v1 Announce Type: new
Abstract: The limited bandwidth of PCIe has emerged as the critical bottleneck for large language model (LLM) performance, such as prefix cache fetching and model switching. Although intra-server multipath data transfer between GPU and host memory is theoretica…
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218

arXiv:2512.16449v1 Announce Type: new
Abstract: In vision-based robot manipulation, a single camera view can only capture one side of objects of interest, with additional occlusions in cluttered scenes further restricting visibility. As a result, the observed geometry is incomplete, and grasp estim…
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135

arXiv:2509.04654v3 Announce Type: replace
Abstract: In the Strip Packing problem, we are given a vertical strip of fixed width and unbounded height, along with a set of axis-parallel rectangles. The task is to place all rectangles within the strip, without overlaps, while minimizing the height of t…
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132

arXiv:2512.16344v1 Announce Type: new
Abstract: Artificial intelligence (AI) is commonly depicted as transformative. Yet, after more than a decade of hype, its measurable impact remains modest outside a few high-profile scientific and commercial successes. The 2024 Nobel Prizes in Chemistry and Phy…
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109

arXiv:2504.14653v4 Announce Type: replace
Abstract: The emergence of sixth-generation and beyond communication systems is expected to fundamentally transform digital experiences through introducing unparalleled levels of intelligence, efficiency, and connectivity. A promising technology poised to e…
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111

arXiv:2508.18104v3 Announce Type: replace
Abstract: We consider two different problem families that deal with domination in graphs. On the one hand, we focus on dominating sequences. In such a sequence, every vertex dominates some vertex of the graph that was not dominated by any earlier vertex in …
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241

arXiv:2512.16011v1 Announce Type: new
Abstract: Visual inspection of space-borne assets is of increasing interest to spacecraft operators looking to plan maintenance, characterise damage, and extend the life of high-value satellites in orbit. The environment of Low Earth Orbit (LEO) presents unique…
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109

arXiv:2512.16339v1 Announce Type: new
Abstract: OpenAlex, launched in 2022 as a fully open scholarly data source, promises greater inclusiveness compared to traditional proprietary databases. This study evaluates whether OpenAlex delivers on that promise by examining its coverage and metadata quali…
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321

arXiv:2512.16529v1 Announce Type: new
Abstract: Generative art systems often involve high-dimensional and complex parameter spaces in which aesthetically compelling outputs occupy only small, fragmented regions. Because of this combinatorial explosion, artists typically rely on extensive manual tri…
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