University researchers presented Rex at this month's Linux Plumbers Conference 2025 in Tokyo. Rex is designed for "safe and usable" Rust-based kernel extensions that could serve in place of eBPF programs for extending the Linux kernel functionality...
Starlight and stardust are not enough to drive the powerful winds of giant stars, transporting the building blocks of life through our galaxy. That's the conclusion of a new study from Chalmers University of Technology, Sweden, of red giant star R Doradus. The result overturns a long-held idea about…
arXiv:2510.22409v2 Announce Type: replace
Abstract: Self-admitted technical debt (SATD) refers to comments in which developers explicitly acknowledge code issues, workarounds, or suboptimal solutions. SATD is known to significantly increase software maintenance effort. While extensive research has …
arXiv:2506.12287v2 Announce Type: replace
Abstract: We study fair clustering problems in a setting where distance information is obtained from two sources: a strong oracle providing exact distances, but at a high cost, and a weak oracle providing potentially inaccurate distance estimates at a low c…
Class identity, which is how individuals view their economic and social positions in relation to others, has wide-ranging effects on people's well-being, thoughts, and behavior. Previous studies have shown that people who identify with a higher class have better physical and emotional health, tend t…
Scientists reveal that the scale of analysis determines whether invasive plants succeed by resembling or differing from native species, resolving decades of conflicting ecological evidence.
Seals give birth only when conditions are right. After mating, a female seal can delay implantation of the embryo in the uterine wall—pausing pregnancy until she senses that her fat reserves are aligned with the season. This strategy, known as embryonic diapause, is practiced by hundreds of mammals,…
arXiv:2507.01939v4 Announce Type: replace-cross
Abstract: In recent years, large language models (LLMs) have transformed natural language understanding through vast datasets and large-scale parameterization. Inspired by this success, we present SpecCLIP, a foundation model framework that extends LL…
arXiv:2511.04109v2 Announce Type: replace
Abstract: As robotic arm applications extend beyond industrial settings into service-oriented sectors such as catering, household and retail, existing control algorithms struggle to achieve the agile manipulation required for complex environments with dynam…
arXiv:2304.05697v2 Announce Type: replace
Abstract: We introduce a novel, logic-independent framework for the study of sequent-style proof systems, which covers a number of proof-theoretic formalisms and concrete proof systems that appear in the literature. In particular, we introduce a generalized…
arXiv:2512.17689v1 Announce Type: cross
Abstract: In real data, missing values occur frequently, which affects the interpretation with interpretable machine learning (IML) methods. Recent work considers bias and shows that model explanations may differ between imputation methods, while ignoring add…
For many years, doctors and technicians who performed medical ultrasound procedures viewed bubbles with wary concern. The phenomenon of cavitation—the formation and collapse of tiny gas bubbles due to changes in pressure—was considered an undesirable and largely uncontrollable side effect. But in 20…
arXiv:2512.17264v1 Announce Type: new
Abstract: Scaling Approximate Nearest Neighbor Search (ANNS) to billions of vectors requires distributed indexes that balance accuracy, latency, and throughput. Yet existing index designs struggle with this tradeoff. This paper presents SPIRE, a scalable vector…
arXiv:2512.17855v1 Announce Type: new
Abstract: This work proposes a methodology to develop new numerical integration algorithms for ordinary differential equations based on state quantization, generalizing the notions of Linearly Implicit Quantized State Systems (LIQSS) methods. Using this idea, t…
arXiv:2512.17270v1 Announce Type: new
Abstract: Role-playing models (RPMs) are widely used in real-world applications but underperform when deployed in the wild. This degradation can be attributed to distribution shifts, including user, character, and dialogue compositional shifts. Existing methods…
arXiv:2512.17815v1 Announce Type: new
Abstract: Motivation: The clinical efficacy of antibody therapeutics critically depends on high-affinity target engagement, yet laboratory affinity-maturation campaigns are slow and costly. In computational settings, most protein language models (PLMs) are not …