1 Introduction

2 Background and Related Work  
2.1 Code Clone Detection  
2.2 Large Language Models  
2.3 Chain-of-Thought Reasoning

3 Experimental Setup  
3.1 Research Questions  
3.2 Instructions  
3.3 Dataset Collection  
3.4 Language Models  
3.5 Non-LLMs-Based Detection Techniques  
3.6 Evaluation Metrics  
3.7 Hardware

4 Experimental Result  
4.1 RQ1: Performance of A Simple Prompt  
4.2 RQ2: Performance of One-Step Chain-of-Thought Prompts  
4.3 RQ3: Performance of Multi-Step Chain-of-Thought Prompts  
4.4 RQ4: Performance of Code Embedding  
4.5 RQ5: Performance Across Different Programming Languages

5 Discussions and Limitations  
5.1 Discussions  
5.2 Limitations

6 Conclusion