Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Construction

arXiv:2608.30050 · cs.AI · Submitted 2026-08-30 · Read on arXiv

cs.AI

Submitted: 2026-08-30

Updated: 2026-08-30

Code: https://github.com/maher243/BlockSim

Project page: https://ethereum.github.io

Terminology

• Digital Twin — 33× in this paper · explained in 4 episodes
• Calibration — 31× in this paper · explained in 7 episodes
• Trace — 19× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Fidelity — 6× in this paper · explained in 2 episodes
• Abstraction — 5× in this paper · explained in 1 episode
• In-Context Learning — 5× in this paper · explained in 4 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Bayesian Optimization — 4× in this paper · explained in 3 episodes
• Admissibility — 3× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• alpha — 3× in this paper · explained in 1 episode
• Adversarial scenarios — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• IEEE Symposium on Security and Privacy — 2× in this paper
• Pruning — 2× in this paper · explained in 4 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Uncertainty Quantification — 2× in this paper · explained in 8 episodes
• Verification — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes

Sources

• SoK: A Review of Cross-Chain Bridge Hacks in 2023
• A Survey on In-context Learning
• The CMA Evolution Strategy: A Tutorial
• Understanding the planning of LLM agents: A survey
• Diffusion Model for Data-Driven Black-Box Optimization
• ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
• Transaction Fee Mechanism Design for the Ethereum Blockchain: An Economic Analysis of EIP-1559
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

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