chore(seo): add google search console verification

Author: NoraNotDora

docs/overrides/main.html

@@ -0,0 +1,49 @@
+{% extends "base.html" %}
+
+{% block extrahead %}
+  <!-- Google Scholar Meta Tags -->
+  <meta name="citation_title" content="Advances, Frontiers, and Future of Issue Resolution in Software Engineering: A Comprehensive Survey">
+  
+  <!-- Authors -->
+  <meta name="citation_author" content="Li, Caihua">
+  <meta name="citation_author" content="Guo, Lianghong">
+  <meta name="citation_author" content="Wang, Yanlin">
+  <meta name="citation_author" content="Tao, Wei">
+  <meta name="citation_author" content="Shan, Zhenyu">
+  <meta name="citation_author" content="Liu, Mingwei">
+  <meta name="citation_author" content="Chen, Jiachi">
+  <meta name="citation_author" content="Song, Haoyu">
+  <meta name="citation_author" content="Tang, Duyu">
+  <meta name="citation_author" content="Zhang, Hongyu">
+  <meta name="citation_author" content="Zheng, Zibin">
+  
+  <meta name="citation_publication_date" content="2025/01/04">
+  
+  <meta name="citation_pdf_url" content="https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution/blob/main/docs/Advances%2C%20Frontiers%2C%20and%20Future%20of%20Issue%20Resolution%20in%20Software%20Engineering%20A%20Comprehensive%20Survey.pdf">
+  
+  <!-- <meta name="citation_arxiv_id" content="2501.xxxxx"> -->
+  
+  <!-- <meta name="citation_journal_title" content="arXiv preprint arXiv:2501.xxxxx"> -->
+  
+  <!-- <meta name="citation_conference_title" content="Proceedings of ICSE 2026"> -->
+  
+  <!-- Abstract -->
+  <meta name="citation_abstract" content="Issue resolution, a complex Software Engineering (SWE) task integral to real-world development, has emerged as a compelling challenge for artificial intelligence. The establishment of benchmarks like SWE-bench revealed this task as profoundly difficult for large language models, thereby significantly accelerating the evolution of autonomous coding agents. This paper presents a systematic survey of this emerging domain. We begin by examining data construction pipelines, covering automated collection and synthesis approaches. We then provide a comprehensive analysis of methodologies, spanning training-free frameworks with their modular components to training-based techniques, including supervised fine-tuning and reinforcement learning. Subsequently, we discuss critical analyses of data quality and agent behavior, alongside practical applications. Finally, we identify key challenges and outline promising directions for future research. An open-source repository is maintained at https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution to serve as a dynamic resource in this field.">
+  
+  <!-- Keywords -->
+  <meta name="citation_keywords" content="Software Engineering; Issue Resolution; Large Language Models; LLMs; GitHub; Automated Program Repair; Code Generation; SWE-bench">
+  
+  <!-- Open Graph Meta Tags for social sharing -->
+  <meta property="og:title" content="Awesome Issue Resolution - A Comprehensive Survey">
+  <meta property="og:description" content="A systematic survey on LLM-based Issue Resolution in Software Engineering">
+  <meta property="og:url" content="https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/">
+  <meta property="og:type" content="article">
+  <meta property="og:image" content="https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/images/awesome-issue-resolution.png">
+  
+  <!-- Twitter Card Meta Tags -->
+  <meta name="twitter:card" content="summary_large_image">
+  <meta name="twitter:title" content="Awesome Issue Resolution - A Comprehensive Survey">
+  <meta name="twitter:description" content="A systematic survey on LLM-based Issue Resolution in Software Engineering">
+  <meta name="twitter:image" content="https://deepsoftwareanalytics.github.io/Awesome-Issue-Resolution/images/awesome-issue-resolution.png">
+{% endblock %}
+

mkdocs.yml

@@ -7,6 +7,7 @@ repo_url: https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution
 
 theme:
   name: material
+  custom_dir: docs/overrides
   palette:
     - scheme: default
       primary: blue