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A2A-CaseVerify: Merkle-Linked Case-Evidence Verification for Cross-Organization A2A Workflows

arXiv cs.CRby Adil Alshammari ()1 min read1
AI summary · grok-4.7Summaries by Vani AI

A2A-CaseVerify uses Merkle roots to check that agent workflow claims have complete evidence paths.

A2A-CaseVerify maps preserved agent-to-agent runtime objects, business events, and typed support edges into a directed case evidence graph and a deterministic case Merkle root. It returns SUPPORTED only when protection and profile-specific reconstruction checks pass. A canonical healthcare-profile bundle and a bundle from the official Python A2A SDK were accepted, while all 13 controlled mutations were rejected with their targeted diagnostic codes.

Key facts
  • Offline verifier commits A2A envelopes, events, and support edges
  • Combines event and edge leaves into a case Merkle root
  • Canonical and official Python A2A SDK bundles were accepted
  • All 13 controlled mutations were rejected with targeted codes
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From the original article

1 min read at arxiv.org

Agent-to-Agent (A2A) communication enables large language model (LLM) agents to exchange tasks, messages, and artifacts across organizations. A valid message alone does not establish that a final workflow claim is supported by a complete, ordered, and case-consistent evidence path.

arXiv cs.CR

By Adil Alshammari · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.