Data Facts is a lightweight JSON schema with security features enabling structured data exchange among autonomous agents, shown in evaluations to yield 100% decision accuracy and block all forgery attempts.
Beyond DNS: Unlocking the internet of AI agents via the NANDA in- dex and verified AgentFacts.arXiv preprint arXiv:2507.14263, 2025
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
years
2026 6verdicts
UNVERDICTED 6representative citing papers
LM agents' changeable modules prevent persistent identity and sanction sensitivity, making reputation mechanisms structurally inapplicable and requiring protocol-based behavioral harnesses instead.
Proposes layered architecture and three mechanisms (semantic propagation, identity/reputation, semantic-gradient design) for distributed agent networks with prototype simulations.
OAN proposes a trust layer using did:oan resource identities, federated governance, and trusted discovery to enable safe agent interconnection without replacing existing protocols.
DNS is suitable for AI agent discovery because the necessary metadata, including trust elements, fits within a single UDP transaction with millisecond latency, as shown by analysis of 119,757 real-world service endpoints.
AONA is a proposed four-layer overlay network architecture with dedicated node types and workflows for global, decentralized collaboration among AI agents.
citing papers explorer
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Discovering Agents for Discovery: The Case for DNS
DNS is suitable for AI agent discovery because the necessary metadata, including trust elements, fits within a single UDP transaction with millisecond latency, as shown by analysis of 119,757 real-world service endpoints.
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AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaboration
AONA is a proposed four-layer overlay network architecture with dedicated node types and workflows for global, decentralized collaboration among AI agents.