paper-with-me

Papers

OpenAgenet / OAN White Paper: Open Infrastructure for Trusted Agent Interconnection

2026-06-02 · Jinliang Xu arxiv

OpenAgenet, abbreviated as OAN, is an open infrastructure project for trusted Agent interconnection. It addresses a problem that becomes visible when Agents move from isolated applications into open, multi-operator networks: before an Agent can safely discover, select, and invoke another Agent, it needs a way to verify identity provenance, governance state, discovery authorization, freshness, and pre-connection trust evidence. OAN is designed as a protocol-neutral trust layer. It does not replace Agent interaction protocols, tool protocols, model orchestration frameworks, or application-level workflows. Instead, it provides \texttt{did:oan}-based resource identity, governance-backed admission, Registrar-assisted onboarding, Root-verified package publication, authorization-aware Discovery, Root-issued infrastructure authorization VCs, and signed trusted invocation. The architectural center of OAN is the combination of federated governance, resource identity, and trusted Discovery, rather than a single directory or naming service. This white paper explains the motivation, architecture, roles, governance model, relationship with MCP, A2A, and ANP, deployment patterns, cooperation model, on-chain governance layer, prototype status, performance profile, and roadmap of OAN.

📄 PDF Abstract BibTeX arXiv:2606.03161

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

OpenAgenet / OAN Yellow Paper: Technical Architecture for Trust-Governed Resource Identity and Discovery

2026-06-02 · Jinliang Xu arxiv

This yellow paper describes the technical architecture of OpenAgenet / OAN. OAN is a protocol-neutral trust layer for open Agent interconnection and discoverable AI resource products. It specifies the role architecture, …

Developing a Trusted Human-AI Network for Humanitarian Benefit

2021-12-07 · Susannah Kate Devitt, Jason Scholz, Timo Schless, Larry Lewis

Artificial intelligences (AI) will increasingly participate digitally and physically in conflicts, yet there is a lack of trused communications with humans for humanitarian purposes. In this paper we consider the integra…

HumanitarianMisinformation

secureTF: A Secure TensorFlow Framework

2021-01-20 · Do Le Quoc, Franz Gregor, Sergei Arnautov, Roland Kunkel 외

Data-driven intelligent applications in modern online services have become ubiquitous. These applications are usually hosted in the untrusted cloud computing infrastructure. This poses significant security risks since th…

BIG-bench Machine LearningCloud Computing

SandboxEval: Towards Securing Test Environment for Untrusted Code

2025-03-27 · Rafiqul Rabin, Jesse Hostetler, Sean McGregor, Brett Weir 외

While large language models (LLMs) are powerful assistants in programming tasks, they may also produce malicious code. Testing LLM-generated code therefore poses significant risks to assessment infrastructure tasked with…

TrustedARI: Towards Trust-Native Agentic Routing Infrastructure for Agentic AI

2026-06-14 · Qi Li, Zhenhua Zou, Shuo Li, Mingwei Xu 외 arxiv

AI agents increasingly access external models, tools, and services through Agentic Routing Infrastructure (ARI) to manage the overhead of heterogeneous interfaces and fragmented subscriptions. Yet, the architecture of AR…