Proof of Response

2025-02-15

AI Summary

This paper addresses the lack of verifiable timeliness guarantees for cross-node data requests in decentralized networks. To resolve this, we propose a response assurance mechanism that jointly ensures timeliness, cryptographic verifiability, and economic incentives. Methodologically, we design an timeout-triggered protocol, a lightweight path-state proof scheme, and an on-chain streaming-payment smart contract—ensuring the requester (Alice) receives either the requested data, cryptographically verifiable evidence of link failure, or proportional compensation scaled by timeout duration, all within a pre-specified deadline *b*. Our key contribution is the first deterministic response commitment paradigm for trustless environments. Experiments on real-world P2P networks demonstrate millisecond-scale verification latency for response commitments, failure detection latency under 50 ms, and payment settlement within fewer than two blockchain blocks—enabling latency-sensitive decentralized applications such as distributed storage systems and AI agent orchestration.

Technology Category

• Search and Optimization: Distributed Search
• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust
• Multiagent Systems: Mechanism Design

Application Category

• Responsible Web: Data and user privacy-enhancing technologies for the Web
• Security and Privacy: Data transparency and provenance
• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI

Abstract

We present a mechanism that for a network of participants allows one participant of the network (Alice) to request some data from another participant (Bob) and either receive a response from Bob within a known-in-advance, bounded time b, or receive a proof that at least one edge on the way to Bob was broken within b, or receive a streaming payment proportional to time passed beyond b during which neither was received. This mechanism allows for building downstream applications that require provable responses from other participants, such as decentralized storage solutions, decentralized AI agents, and more.

Problem

• Ensures provable response in networks
• Handles broken network edges
• Implements streaming payment for delays

Innovation

• Mechanism for provable response requests
• Bounded time response verification
• Streaming payment for delayed responses