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+# 验证规则
+
+本文档详细说明四层验证机制的具体规则和匹配算法。
+
+## Layer 1: Format Validation (格式验证)
+
+### BibTeX 格式检查
+
+**必填字段验证:**
+
+不同类型的 BibTeX 条目有不同的必填字段要求:
+
+**@article (期刊论文):**
+- 必填: `author`, `title`, `journal`, `year`
+- 可选: `volume`, `number`, `pages`, `doi`
+
+**@inproceedings (会议论文):**
+- 必填: `author`, `title`, `booktitle`, `year`
+- 可选: `pages`, `organization`, `doi`
+
+**@book (书籍):**
+- 必填: `author` 或 `editor`, `title`, `publisher`, `year`
+- 可选: `volume`, `series`, `address`
+
+**@misc (其他):**
+- 必填: `title`
+- 可选: `author`, `howpublished`, `year`, `note`
+
+### 格式检查规则
+
+**1. 条目结构检查**
+```python
+def check_bibtex_structure(entry):
+ """检查 BibTeX 条目结构"""
+ errors = []
+
+ # 检查是否有类型
+ if not entry.get('ENTRYTYPE'):
+ errors.append("Missing entry type")
+
+ # 检查是否有 ID
+ if not entry.get('ID'):
+ errors.append("Missing citation key")
+
+ # 检查必填字段
+ required = get_required_fields(entry.get('ENTRYTYPE'))
+ for field in required:
+ if not entry.get(field):
+ errors.append(f"Missing required field: {field}")
+
+ return errors
+```
+
+**2. 字段格式检查**
+```python
+def check_field_format(entry):
+ """检查字段格式"""
+ errors = []
+
+ # 年份格式检查
+ if 'year' in entry:
+ year = entry['year']
+ if not year.isdigit() or len(year) != 4:
+ errors.append(f"Invalid year format: {year}")
+ if int(year) < 1900 or int(year) > 2030:
+ errors.append(f"Year out of reasonable range: {year}")
+
+ # DOI 格式检查
+ if 'doi' in entry:
+ doi = entry['doi']
+ if not doi.startswith('10.'):
+ errors.append(f"Invalid DOI format: {doi}")
+
+ return errors
+```
+
+### LaTeX 引用检查
+
+**1. 引用命令检查**
+```python
+def check_latex_citations(tex_content):
+ """检查 LaTeX 引用命令"""
+ import re
+
+ # 查找所有引用命令
+ cite_pattern = r'\\cite(?:\[[^\]]*\])?\{([^}]+)\}'
+ citations = re.findall(cite_pattern, tex_content)
+
+ # 展开多个引用
+ all_keys = []
+ for cite in citations:
+ keys = [k.strip() for k in cite.split(',')]
+ all_keys.extend(keys)
+
+ return all_keys
+```
+
+**2. 引用一致性检查**
+```python
+def check_citation_consistency(tex_keys, bib_keys):
+ """检查引用一致性"""
+ tex_set = set(tex_keys)
+ bib_set = set(bib_keys)
+
+ # 未定义的引用
+ undefined = tex_set - bib_set
+
+ # 未使用的引用
+ unused = bib_set - tex_set
+
+ return {
+ 'undefined': list(undefined),
+ 'unused': list(unused)
+ }
+```
+
+## Layer 2: Existence Verification (存在性验证)
+
+### API 验证流程
+
+**验证步骤:**
+1. 根据引用信息选择 API (DOI → CrossRef, arXiv ID → arXiv, 其他 → Semantic Scholar)
+2. 调用 API 获取论文信息
+3. 判断论文是否存在
+
+**验证结果:**
+- `exists` - 论文存在
+- `not_found` - 论文不存在
+- `api_error` - API 调用失败,需要人工验证
+
+### 验证代码示例
+
+```python
+def verify_existence(citation_info):
+ """验证论文存在性"""
+ # DOI 优先
+ if citation_info.get('doi'):
+ result = verify_with_crossref(citation_info['doi'])
+ if result['status'] == 'success':
+ return {'exists': True, 'source': 'crossref', 'data': result['data']}
+
+ # arXiv ID
+ if citation_info.get('arxiv_id'):
+ result = verify_with_arxiv(citation_info['arxiv_id'])
+ if result['status'] == 'success':
+ return {'exists': True, 'source': 'arxiv', 'data': result['data']}
+
+ # 通用搜索
+ if citation_info.get('title'):
+ result = verify_with_semantic_scholar(citation_info['title'])
+ if result['status'] == 'success' and result['data']:
+ return {'exists': True, 'source': 'semantic_scholar', 'data': result['data']}
+
+ return {'exists': False, 'source': None}
+```
+
+## Layer 3: Information Matching (信息匹配)
+
+### 匹配算法
+
+**1. 标题匹配**
+
+使用模糊匹配算法,允许轻微差异:
+
+```python
+from difflib import SequenceMatcher
+
+def match_title(title1, title2, threshold=0.85):
+ """标题匹配"""
+ # 标准化:小写、去除标点
+ def normalize(text):
+ import re
+ text = text.lower()
+ text = re.sub(r'[^\w\s]', '', text)
+ return ' '.join(text.split())
+
+ t1 = normalize(title1)
+ t2 = normalize(title2)
+
+ # 计算相似度
+ ratio = SequenceMatcher(None, t1, t2).ratio()
+
+ return {
+ 'match': ratio >= threshold,
+ 'similarity': ratio
+ }
+```
+
+**2. 作者匹配**
+
+考虑作者顺序和名字格式差异:
+
+```python
+def match_authors(authors1, authors2, threshold=0.7):
+ """作者匹配"""
+ def normalize_name(name):
+ # 处理 "Last, First" 和 "First Last" 格式
+ parts = name.replace(',', '').split()
+ return ' '.join(sorted(parts)).lower()
+
+ names1 = [normalize_name(a) for a in authors1]
+ names2 = [normalize_name(a) for a in authors2]
+
+ # 计算交集比例
+ set1 = set(names1)
+ set2 = set(names2)
+ intersection = len(set1 & set2)
+ union = len(set1 | set2)
+
+ if union == 0:
+ return {'match': False, 'similarity': 0}
+
+ ratio = intersection / union
+
+ return {
+ 'match': ratio >= threshold,
+ 'similarity': ratio
+ }
+```
+
+**3. 年份匹配**
+
+允许 ±1 年的差异(考虑预印本和正式发表的时间差):
+
+```python
+def match_year(year1, year2, tolerance=1):
+ """年份匹配"""
+ try:
+ y1 = int(year1)
+ y2 = int(year2)
+ diff = abs(y1 - y2)
+ return {
+ 'match': diff <= tolerance,
+ 'difference': diff
+ }
+ except (ValueError, TypeError):
+ return {'match': False, 'difference': None}
+```
+
+## Layer 4: Content Validation (内容验证)
+
+### 综合匹配评分
+
+综合所有匹配结果,计算总体匹配分数:
+
+```python
+def calculate_match_score(citation, api_data):
+ """计算综合匹配分数"""
+ scores = {}
+ weights = {
+ 'title': 0.4,
+ 'authors': 0.3,
+ 'year': 0.2,
+ 'venue': 0.1
+ }
+
+ # 标题匹配
+ if citation.get('title') and api_data.get('title'):
+ result = match_title(citation['title'], api_data['title'])
+ scores['title'] = result['similarity']
+
+ # 作者匹配
+ if citation.get('authors') and api_data.get('authors'):
+ result = match_authors(citation['authors'], api_data['authors'])
+ scores['authors'] = result['similarity']
+
+ # 年份匹配
+ if citation.get('year') and api_data.get('year'):
+ result = match_year(citation['year'], api_data['year'])
+ scores['year'] = 1.0 if result['match'] else 0.0
+
+ # 计算加权总分
+ total_score = 0
+ total_weight = 0
+ for key, weight in weights.items():
+ if key in scores:
+ total_score += scores[key] * weight
+ total_weight += weight
+
+ if total_weight == 0:
+ return 0
+
+ return total_score / total_weight
+```
+
+### 验证结果判定
+
+根据匹配分数判定验证结果:
+
+```python
+def judge_verification_result(match_score):
+ """判定验证结果"""
+ if match_score >= 0.9:
+ return {
+ 'status': 'verified',
+ 'level': 'high_confidence',
+ 'message': '✅ 验证通过 - 信息完全匹配'
+ }
+ elif match_score >= 0.7:
+ return {
+ 'status': 'partial_match',
+ 'level': 'medium_confidence',
+ 'message': '⚠️ 部分匹配 - 信息有轻微差异,建议人工确认'
+ }
+ elif match_score >= 0.5:
+ return {
+ 'status': 'low_match',
+ 'level': 'low_confidence',
+ 'message': '❌ 匹配度低 - 信息差异较大,需要人工验证'
+ }
+ else:
+ return {
+ 'status': 'failed',
+ 'level': 'no_confidence',
+ 'message': '❌ 验证失败 - 信息严重不匹配或论文不存在'
+ }
+```
+
+## 完整验证流程
+
+### 主验证函数
+
+```python
+def verify_citation_complete(citation):
+ """完整的引用验证流程"""
+ result = {
+ 'citation_key': citation.get('ID'),
+ 'layers': {}
+ }
+
+ # Layer 1: 格式验证
+ format_errors = check_bibtex_structure(citation)
+ format_errors.extend(check_field_format(citation))
+ result['layers']['format'] = {
+ 'passed': len(format_errors) == 0,
+ 'errors': format_errors
+ }
+
+ # Layer 2: 存在性验证
+ existence = verify_existence(citation)
+ result['layers']['existence'] = existence
+
+ if not existence['exists']:
+ result['final_status'] = 'not_found'
+ return result
+
+ # Layer 3 & 4: 信息匹配和内容验证
+ api_data = existence['data']
+ match_score = calculate_match_score(citation, api_data)
+ judgment = judge_verification_result(match_score)
+
+ result['layers']['matching'] = {
+ 'score': match_score,
+ 'judgment': judgment
+ }
+
+ result['final_status'] = judgment['status']
+ result['confidence'] = judgment['level']
+
+ return result
+```
+
+## 验证阈值配置
+
+### 可调整的阈值参数
+
+```python
+VERIFICATION_THRESHOLDS = {
+ # 匹配阈值
+ 'title_similarity': 0.85, # 标题相似度阈值
+ 'author_similarity': 0.70, # 作者相似度阈值
+ 'year_tolerance': 1, # 年份容差
+
+ # 判定阈值
+ 'high_confidence': 0.90, # 高置信度阈值
+ 'medium_confidence': 0.70, # 中等置信度阈值
+ 'low_confidence': 0.50, # 低置信度阈值
+
+ # 权重配置
+ 'weights': {
+ 'title': 0.4,
+ 'authors': 0.3,
+ 'year': 0.2,
+ 'venue': 0.1
+ }
+}
+```
+
+### 阈值调整建议
+
+**严格模式** (用于正式发表):
+- title_similarity: 0.90
+- author_similarity: 0.80
+- high_confidence: 0.95
+
+**宽松模式** (用于初稿):
+- title_similarity: 0.80
+- author_similarity: 0.60
+- high_confidence: 0.85
+