VERA: Authority-Preserving Edge Revocation for Federated AI-Agent Workflows
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Abstract (arXiv)
Modern agent frameworks compose planners, tool agents, remote services, and shared specialists into runtime delegation graphs, but their revocation APIs still resemble token or subtree invalidation. When one delegation is withdrawn, the runtime must know which agents lose authority while independently authorized agents keep working. We study this authority consistency problem and introduce VERA (Verifiable Edge Revocation for Agents), a verifier-checkable revocation contract and API emitted by agent-runtime adapters as signed evidence. Under disjunctive authority, revoking edge e invalidates exactly Tintent(e,G) = reach(G) reach(G e), the agents whose every authorizing root path used e. Used as a contract, this target exposes two runtime failures: tree cascades over-revoke shared agents, while deployer-scoped cascades under-revoke cross-domain descendants. In a LangGraph framework-replt cells repeated 20 times yield 500compiled-framework traces and 2,000 valid signed delegation decisions; 13/25 cells contain runtime multi-parsharing and 8/25 contain cross-deployer shies 500/500 target proofs, preserves all320 alternate-parent shared-agent cases that tree cascade revokes, and rejects unauthorized signers and omission attacks. Baseline replay over 1,9that holder/node and tree-style targetscannot express this behavior. We further validate schema portability on A2A, AutoGen, and CrewAI artifacts: nine traces, including five executable Cregned delegation events that pass schema and signature checks.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 8 of its 28 references that are in the map. First posted on arXiv 30 Aug 2026.
Builds on
8 of 28 references.
References · 8
- 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,988
- 2025Authenticated Delegation and Authorized AI Agentscited by 65
- 2026Taming Various Privilege Escalation in LLM-Based Agent Systems: A Mandatory Access Control Frameworkcited by 54
- 2026Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANPcited by 15
- 2025A Vision for Access Control in LLM-based Agent Systemscited by 14
- 2026AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2Acited by 11
- 2026ChainCaps: Composition-Safe Tool-Using Agents via Monotonic Capability Attenuationcited by 11
- 2026Overlaying Governance: A Compositional Authorization Framework for Delegation and Scope in Agentic AIcited by 5
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Citing papers per year: 2026: 2.
2 papers.