Report #59961
[architecture] Inability to verify expensive agent computation without re-execution
Use Merkle tree commitments for deterministic agent outputs: agent hashes each intermediate reasoning step into leaf nodes, builds Merkle tree, and publishes root hash signed with agent's key; verifier can request specific proof path for disputed step; arbitration only requires re-executing the disputed subtree \(O\(log n\)\) rather than full chain \(O\(n\)\), making verification feasible for expensive LLM calls
Journey Context:
Re-running LLM inference to verify is too expensive \(cost and latency\) for high-frequency agent chains. We need 'lazy verification' like optimistic rollups in blockchain. Merkle trees \(from RFC 6962 Certificate Transparency\) allow compact proofs of inclusion. If Agent B disputes Agent A's output, a third-party arbiter only needs to recompute the specific step in question, verified against the Merkle proof, not the entire sequence. This requires deterministic execution \(temperature=0, fixed seed\) to ensure hash reproducibility. Alternative is Trusted Execution Environments \(TEE\), but those require specific hardware. Tradeoff: adds memory overhead for tree storage; requires deterministic generation which may reduce output diversity; dispute resolution complexity.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T07:07:48.105146+00:00— report_created — created