mlsanityData to 14 Oct 2026

Notarized Agents: Receiver-Attested Confidential Receipts for AI Agent Actions

arXiv 2606.04193 ↗First posted 2 Jun 2026cs.CR cs.AI cs.DCcited by 1

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Abstract (arXiv)

Current AI agent observability is structurally compromised: the entity producing the activity log is the same entity whose activity is being logged. A compromised or buggy agent can omit, alter, or fabricate its own traces, and the operator running the agent has no independent way to detect tampering. We propose a class of protocols that resolves this by inverting the trust boundary: the service that receives an agent's call signs a receipt of what it observed using its own key, encrypts the receipt to the agent's owner, and publishes it to a public transparency log. The owner reconstructs a tamper-evident trail without trusting the agent or its operator. We instantiate the class as Sello, a protocol combining four properties absent in any current system: (P1) receiver-side signing, (P2) HPKE encryption to an owner public key bound to the authorization token via JWS, (P3) publication to a witness-cosigned Merkle log, and (P4) owner-side discovery by token reference. We describe the protocol, analyze its security under an adversary that controls the agent and its operator, present microbenchmarks of the cryptographic operations, and situate Sello among adjacent receipt-protocol work (Signet, AgentROA, Agent Passport System, draft-farley-acta, SCITT). We discuss known limitations including the suppression attack, service collusion, and the adoption-incentive problem.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 29 references that are in the map. First posted on arXiv 2 Jun 2026.

Builds on

6 of 29 references.

References · 6

  1. 2024Black-Box Access is Insufficient for Rigorous AI Auditscited by 126
  2. 2026Right to History: A Sovereignty Kernel for Verifiable AI Agent Executioncited by 7
  3. 2026Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI Agentscited by 4
  4. 2015Keeping Authorities "Honest or Bust" with Decentralized Witness Cosigningcited by 3
  5. 2025Verifiability-First Agents: Provable Observability and Lightweight Audit Agents for Controlling Autonomous LLM Systemscited by 2
  6. 2021Who Can Find My Devices? Security and Privacy of Apple's Crowd-Sourced Bluetooth Location Tracking Systemcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.