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Toward Web 4.0: bidirectional trust between AI agents and blockchain

Identification

Public canonical key
doi:10.48550/arxiv.2605.08922
Authors
Yunfeng Xia · Chao Li · Lei Li · Chenhao Zhang · Li Duan · Runhua Xu · Wei Wang
Reported year
2026
Reported language
en
Source type
article
First detected
2026-11-09T19:04:47.783932+00:00
Last metadata observation
2026-11-09T19:04:47.783932+00:00
Last HTTP verification
Not checked

Institutions reported by the source

Beihang University · Beijing Jiaotong University · Xi'an Jiaotong University

Reported affiliation countries

CN

Documentary abstract — original language

Autonomous artificial intelligence (AI) agents are increasingly deployed on blockchain platforms, yet the design space governing their interaction remains poorly understood. This convergence, in which autonomous agents operate on and within decentralized systems, characterizes the emerging Web 4.0 paradigm. We organize this Systematization of Knowledge (SoK) around a bidirectional trust framework. For the B → A direction (Blockchain → Agent), blockchain provides the trust infrastructure needed by agents. This direction follows their on-chain lifecycle: identity and account abstraction establish an agent on-chain; permission and delegation define what it may do; intent-centric execution carries out its goals; and tokenized agent economies support economic participation. The A → B direction (Agent → Blockchain) concerns participation in core blockchain mechanisms, beginning with security auditing and extending to consensus and governance. Verifiable computation forms the Trust Foundation (TF) shared by both directions. We consider zero-knowledge machine learning (zkML) and optimistic machine learning (opML) alongside trusted execution environments (TEEs). Their trade-offs between trust minimality and computational overhead differ, as does deployment readiness. The Agent–Blockchain Interaction Model (ABIM) formalizes this interaction. We catalog 70 Ethereum Improvement Proposals (EIPs) and Ethereum Request for Comments (ERC) standards in the Appendix and review 127 academic papers. The analysis also covers 20 representative industry projects. This material is compared using five dimensions: Verifiability, Minimality of Trust, Expressiveness, Composability, and Maturity. The comparison reveals three unresolved issues. The agent-specific standards ecosystem is predominantly immature, with only 3 of 13 direct AI/agent ERCs having reached Final status. Intent architectures lack formal analysis. Research on AI participation in consensus and governance remains limited to isolated studies, and a unified security framing that treats AI as a first-class actor at the protocol layer is still absent. We propose a three-dimensional taxonomy of agent autonomy, trust model, and operational direction. We identify nine concrete open problems and outline the principal research opportunities.

Identifiers

OPENALEX
W7160916619
DOI
10.48550/arxiv.2605.08922 · 10.55092/blockchain20260008

Documentary context

Documentary family
Scholarship
Source-reported types
article
Natural entities mentioned
Ecosystem

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Sources

OpenAlex · Record 1 · Record 2

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  • openalex:w4416999537 · CITES
  • openalex:w4417324118 · CITES

0 incoming references within the detected corpus

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Cite this reference

Yunfeng Xia; Chao Li; Lei Li; Chenhao Zhang; Li Duan; Runhua Xu; Wei Wang. Toward Web 4.0: bidirectional trust between AI agents and blockchain. 2026. https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-d0e56fc352d83cffc41e6f8329e45fd3/

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APA
Yunfeng Xia; Chao Li; Lei Li; Chenhao Zhang; Li Duan; Runhua Xu; Wei Wang. (2026). Toward Web 4.0: bidirectional trust between AI agents and blockchain. https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-d0e56fc352d83cffc41e6f8329e45fd3/
Chicago
Yunfeng Xia; Chao Li; Lei Li; Chenhao Zhang; Li Duan; Runhua Xu; Wei Wang. Toward Web 4.0: bidirectional trust between AI agents and blockchain. 2026. https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-d0e56fc352d83cffc41e6f8329e45fd3/
ISO 690
Yunfeng Xia; Chao Li; Lei Li; Chenhao Zhang; Li Duan; Runhua Xu; Wei Wang. Toward Web 4.0: bidirectional trust between AI agents and blockchain. 2026. https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-d0e56fc352d83cffc41e6f8329e45fd3/

UDTR Global Rights of Nature Legal Library. Toward Web 4.0: bidirectional trust between AI agents and blockchain. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-d0e56fc352d83cffc41e6f8329e45fd3/ · Last HTTP verification: not performed

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Field provenance and record version

Version 5fd21e9444407c68 · udtr-reference-1.1.2

Title
OpenAlex · source · 2026-11-09T19:04:47.783932+00:00
Authors
OpenAlex · source · 2026-11-09T19:04:47.783932+00:00
Year
OpenAlex · source · 2026-11-09T19:04:47.783932+00:00
Identifiers
OpenAlex · source · 2026-11-09T19:04:47.783932+00:00
Source URL
OpenAlex · source · 2026-11-09T19:04:47.783932+00:00

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70e54b3ef4284573 · 2026-11-09T19:04:47.783932+00:00

9d00abc81b858c88 · 2026-11-09T19:04:47.783932+00:00

4c8e065fef448c48 · 2026-11-09T19:04:47.783932+00:00

5fd21e9444407c68 · 2026-11-09T19:04:47.783932+00:00

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Research dossiers and documentary relations

Beihang University

Beijing Jiaotong University

Xi'an Jiaotong University

Chao Li

Chenhao Zhang

Lei Li

Li Duan

Runhua Xu

Wei Wang

Yunfeng Xia

Source roles

Bibliographic / original publication source · https://doi.org/10.48550/arxiv.2605.08922

Discovery source · https://doi.org/10.55092/blockchain20260008

Discovery source · https://openalex.org/W7160916619

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Documentary status

Relevance pending

Library

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UDTR Global Rights of Nature Legal Library