feat(core): finalize rvw stability updates and pending module changes

Summary:
- Harden RVW prompt protocol handling and methodology review flow with 20-checkpoint coverage, divide-and-conquer execution, and timeout tuning
- Update RVW frontend methodology report rendering to show real structured outputs and grouped checkpoint sections
- Include pending backend/frontend updates across IIT admin, SSA, extraction forensics, and related integration files
- Sync system and RVW status documentation, deployment checklist, and RVW architecture/plan docs

Validation:
- Verified lint diagnostics for touched RVW backend/frontend files show no new errors
- Kept backup dump files and local test artifacts untracked

Made-with: Cursor

extraction_service/forensics/api.py

@@ -67,7 +67,7 @@ async def forensics_health():
 @router.post("/analyze_docx")
 async def analyze_docx(
     file: UploadFile = File(...),
-    check_level: str = "L1_L2",
+    check_level: str = "EXTRACT_ONLY",
     tolerance_percent: float = 0.1,
     max_table_rows: int = 500
 ):
@@ -76,7 +76,7 @@ async def analyze_docx(
     
     Args:
         file: 上传的 .docx 文件
-        check_level: 验证级别 (L1 / L1_L2)
+        check_level: 验证级别 (EXTRACT_ONLY / L1 / L1_L2)
         tolerance_percent: 百分比容错范围
         max_table_rows: 单表最大行数
     
@@ -125,18 +125,21 @@ async def analyze_docx(
         methods_found = detect_methods(full_text)
         logger.info(f"检测到统计方法: {methods_found}")
         
-        # 8. L1 算术验证
-        arithmetic_validator = ArithmeticValidator(config)
-        for table in tables:
-            if not table.skipped:
-                arithmetic_validator.validate(table)
-        
-        # 9. L2 统计验证（如果启用）
-        if check_level == "L1_L2":
-            stat_validator = StatValidator(config)
+        # 8. 规则验证（可关闭）
+        # EXTRACT_ONLY：仅提取表格，不执行任何规则验证
+        if check_level != "EXTRACT_ONLY":
+            # L1 算术验证
+            arithmetic_validator = ArithmeticValidator(config)
             for table in tables:
                 if not table.skipped:
-                    stat_validator.validate(table, full_text)
+                    arithmetic_validator.validate(table)
+
+            # L2 统计验证（如果启用）
+            if check_level == "L1_L2":
+                stat_validator = StatValidator(config)
+                for table in tables:
+                    if not table.skipped:
+                        stat_validator.validate(table, full_text)
         
         # 10. 统计问题数量
         total_issues = 0

extraction_service/forensics/types.py

@@ -41,8 +41,8 @@ class IssueType(str, Enum):
 class ForensicsConfig(BaseModel):
     """数据侦探配置"""
     check_level: str = Field(
-        default="L1_L2",
-        description="验证级别：L1（仅算术）、L1_L2（算术+基础统计）"
+        default="EXTRACT_ONLY",
+        description="验证级别：EXTRACT_ONLY（仅提取表格）、L1（仅算术）、L1_L2（算术+基础统计）"
     )
     tolerance_percent: float = Field(
         default=0.1,