arXiv:2609.22947v1 Announce Type: cross Abstract: Reinforcement learning (RL) is vital for optimizing video generation models, with a robust reward model…
Author: script
Beyond Single-Model Injection: A Threat Model and Defense Architecture for Prompt Injection in Multi-Agent Systems
arXiv:2609.22949v1 Announce Type: cross Abstract: Existing prompt injection research focuses on single-model chatbot scenarios, where an attacker…
An Evolutionary Agentic Approach for Open-ended Image Quality Perception
arXiv:2609.22942v1 Announce Type: cross Abstract: Generative models are rapidly expanding image quality assessment (IQA) beyond traditional fidelity…
NostrAgent: A Decentralized Identity and Delegation Architecture for Sovereign Agentic Systems
arXiv:2609.22944v1 Announce Type: cross Abstract: Autonomous AI agents increasingly act across organizational boundaries on behalf of human operators:…
Everything new coming to Meta’s AI agent Muse
CEO Mark Zuckerberg kicked off the company’s annual Connect event in Menlo Park on Wednesday with a keynote that made one thing clear: Meta is going…
When Agentic Trust Crosses Organizational Boundaries: Structural Externalization and a Reference Model for Trust Evidence
arXiv:2609.22961v1 Announce Type: cross Abstract: Agentic systems increasingly invoke tools, services, data, and other agents across organizational…
An Iterative LangGraph Agent for Text-to-SQL: Natural Language Access to the Chicago Crime Database
arXiv:2609.22917v1 Announce Type: cross Abstract: Non-technical stakeholders frequently cannot write the SQL needed to extract insights from operational…
AVTR-1: Open Stack for Real-Time Interactive Avatars
arXiv:2609.22913v1 Announce Type: cross Abstract: Talking-head and dyadic models now achieve real-time inference, yet fast motion generation alone does…
Are Coreset Selection Methods Worth Their Cost?
arXiv:2609.22894v1 Announce Type: cross Abstract: Coreset selection picks a representative subset of the labeled training set to make training cheaper.…
A Coding Guide to TypeSafe AI Jev: Typed Decisions, Calibrated Confidence, and Speculative Fan-Out with a System One Model
This tutorial provides a complete coding guide to TypeSafe AI’s Jev, a System One model designed for non-text, structured judgments. It covers installing…
