In the realm of cryptography and distributed systems, architecture without empirical data is just theory. A well-written whitepaper cannot protect a protocol’s treasury. For the past week, we have deeply dissected the Lirix execution pipeline. We explored how to build mathematical memory cages, how to x-ray malicious EVM proxies, and how to decompile hexadecimal reverts to force Large Language Models (LLMs) to autonomously heal their own code. But to prove that Lirix is not just another theoretical API wrapper, we subjected the engine to grueling, academic-grade benchmark battles. We simulated the two most catastrophic environments an autonomous Web3 AI agent can face: a maliciously polluted RPC infrastructure, and an LLM caught in a severe cognitive deadlock. Here is the raw data on how the architecture survives. Benchmark I: The Quorum Consensus Stress Test The Threat: What happens when the blockchain infrastructure actively lies to the agent?…