AgentReputation proposes separating AI agent task execution, reputation management, and secure record-keeping into distinct layers, with context-specific reputation cards and a risk-based policy engine to handle verification in decentralized settings.
Trustless autonomy: Understanding motivations, benefits and governance dilemma in self-sovereign decen- tralized AI agents
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 3verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
AgentDID is a W3C-compliant decentralized identity system for AI agents enabling self-managed authentication and state verification via challenge-response.
Web-enabled LLMs match UMA resolutions 89.58% of the time on disputed Polymarket events but cannot predict which events will face disputes in advance.
citing papers explorer
-
AgentReputation: A Decentralized Agentic AI Reputation Framework
AgentReputation proposes separating AI agent task execution, reputation management, and secure record-keeping into distinct layers, with context-specific reputation cards and a risk-based policy engine to handle verification in decentralized settings.
-
AgentDID: Trustless Identity Authentication for AI Agents
AgentDID is a W3C-compliant decentralized identity system for AI agents enabling self-managed authentication and state verification via challenge-response.
-
Can LLMs Help Decentralized Dispute Arbitration? A Case Study of UMA-Resolved Markets on Polymarket
Web-enabled LLMs match UMA resolutions 89.58% of the time on disputed Polymarket events but cannot predict which events will face disputes in advance.