It is tempting to think a premium is the probability of loss times its size. This paper asks whether that suffices──the answer is that it does not, and what sets the shortfall is the number of policies. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Radio waves are said to suffer a “loss” as the distance grows. This paper asks what is being lost──and the answer is that nothing is lost; what looks like loss is a fact about the receiver. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the Friis transmission formu...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
This work introduces CamVLM, a new framework for Thinking with Cameras, which enables LVLMs to actively acquire visual evidence through dynamic viewpoint control rather than passively analyzing fixed video streams, and proposes a reinforcement learning based viewpoint policy optimization framework.
This work repurposes the CTC decoder to restrict representation-based scoring to decoder-aligned gloss regions, rather than exposing the acquisition function to the entire unfiltered video, and introduces RAIDAL, which achieves its strongest data-efficiency gains over competing baselines in large-vocabulary, budget-lim...
R. A. Diniz Augusto, Gabriel L. Oliveira, Erickson R. Nascimento· 0 citations
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Findings show that compression can alter the scores behind unchanged answers, but do not establish a reliable benefit from adjusting precision for each question, and whether choosing different groups for each question offers benefits beyond shuffled controls is tested.
Sourajit Saha, Shubhashis Roy Dipta, Shaswati Saha et al.· 1 citation
The system is a single 2B vision-language model that answers multiple-choice questions about ten-minute egocentric videos in one greedy forward pass, and reaches 89% of the accuracy of the large agentic pipeline using 1.1% of its parameters.
An automated pipeline is proposed that derives an actionable representation of a cyberattack from heterogeneous CTI sources and produces an enriched Attack Graph that captures a coarse, tactic-aligned progression of the attack and annotates each step with explicit pre-conditions and post-conditions, and an enriched des...
Nicola Deidda, L. Regano, Alessandro Sanna et al.· 0 citations
PrivEscalate is presented, a large-scale benchmark for Linux privilege escalation, comprising 531 Dockerized scenarios spanning 14 sub-categories and PrivEscalate, a domain-specialized wrapper that augments a generic ReAct agent with deterministic enumeration, category matching, and step planning that improves over pri...
Yi-Xuan Liu, Zi-Long Zhen, Yin Wu et al.· 0 citations
A controlled cross-paradigm benchmark is presented to establish a substantial performance advantage for domain-specific fine-tuning over the evaluated zero-shot approaches and establish a controlled cross-paradigm benchmark for comparing detection paradigms for underground personnel perception.
Unknown authors· Italian National Conference...· 0 citations
Larger, methodologically rigorous trials using standardized light parameters, standardized outcome measures, and direct circadian assessments are needed to clarify the clinical effects of BLT and identify optimal treatment protocols.
Xiao-Lan Tang, Qiu-Ping Gu, Yang Zhan et al.· Frontiers in Neurology· 0 citations
Federal Reserve press conferences convey policy path information and uncertainty beyond formal decisions. This study tests whether transcript-derived risk language predicts the magnitude of financial market responses after policy surprises and event characteristics enter the model. The dataset contains 93 official pres...
Unknown authors· Journal of Risk and Financia...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
