feat(rvw): Complete V2.0 Week 3 - Statistical validation extension and UX improvements

Week 3 Development Summary:

- Implement negative sign normalization (6 Unicode variants)

- Enhance T-test validation with smart sample size extraction

- Enhance SE triangle and CI-P consistency validation with subrow support

- Add precise sub-cell highlighting for P-values in multi-line cells

- Add frontend issue type Chinese translations (6 new types)

- Add file format tips for PDF/DOC uploads

Technical improvements:

- Add _clean_statistical_text() in extractor.py

- Add _safe_float() wrapper in validator.py

- Add ForensicsReport.tsx component

- Update ISSUE_TYPE_LABELS translations

Documentation:

- Add 2026-02-18 development record

- Update RVW module status (v5.1)

- Update system status (v5.2)

Status: Week 3 complete, ready for Week 4 testing
Co-authored-by: Cursor <cursoragent@cursor.com>

backend/src/common/document/ExtractionClient.ts

@@ -54,6 +54,7 @@ export interface ForensicsTable {
   headers?: string[];
   rowCount: number;
   colCount: number;
+  issues?: ForensicsIssue[]; // 每个表格的问题列表
 }
 
 export interface ForensicsIssue {
@@ -354,7 +355,7 @@ class ExtractionClient implements IExtractionClient {
       formData.append('tolerance_percent', config.tolerancePercent.toString());
 
       const response = await axios.post<ForensicsResult>(
-        `${this.baseUrl}/api/v1/forensics/analyze`,
+        `${this.baseUrl}/api/v1/forensics/analyze_docx`,
         formData,
         {
           headers: {