feat: 回忆录证据血缘与内部评测可追溯，顺带对齐本地评测台与 CI

数据库与模型：新增多版迁移（章节证据快照、对话血缘、记忆事实/时间线 lineage 等），把「成稿 ↔ 对话/记忆」的溯源信息落到表结构里。
业务链路：会话与 WS、回忆录/故事流水线、记忆写入与 enrichment 等跟着接上线索与快照；新增章节证据快照与评测侧 EvalTraceService 等模块，方便组评审用的证据包。
内部评测：自动化 run 与手工 memoir 评审共用可追溯证据；rubric/ judge 相关脚本与文档有配套调整。
app-eval-web：Memoir/实验详情里能展开看证据摘要与 evidence_trace（含对话轮次 id）；Vite 代理与 development.sh 注入的 API 端口与当前默认内部评测端口一致，避免改端口后页面连错服务。
工程杂项：GitHub Actions / 仓库说明有更新；各适配器与支付/配额/plan 等多处为小改动或跟随主改动的收尾；新增/扩充了?

api/app/features/evaluation/judge_service.py

@@ -91,28 +91,45 @@ def _build_memoir_judge_prompt(
     *,
     memoir_markdown: str,
     source_transcript: str = "",
+    structured_evidence: str = "",
     reference_memoir_markdown: str = "",
     evidence_notes: str = "",
 ) -> str:
     """Assemble an evidence-aware memoir judging prompt."""
     source = (source_transcript or "").strip()
+    struct = (structured_evidence or "").strip()
     reference = (reference_memoir_markdown or "").strip()
     notes = (evidence_notes or "").strip()
     sections = [
         MEMOIR_JUDGE_INSTRUCTIONS,
         "",
-        "【证据与输入顺序】以下区块按优先级给出：评审说明（若有）→ 原始访谈证据 → 参考基线（若有）→ 待评成稿。**真实性相关细项必须以原始访谈证据为准。**",
+        "【证据与输入顺序】以下区块按优先级给出："
+        "评审说明（若有）→ 原始访谈/对话证据（segment 绑定）→ 结构化记忆证据（chunk/fact/timeline/summary）"
+        "→ 参考基线（若有）→ 待评成稿。**真实性、覆盖率、可追溯性以「artifact 绑定证据闭包」为准**；"
+        "若存在 `lineage_tier=fallback` 或证据不足，须保守打分并写 `insufficient_evidence`。",
         "",
     ]
     if notes:
         sections.extend(["【评审说明】", notes[:1200], ""])
     if source:
-        sections.extend(["【原始访谈/证据】", source[:_MEMOIR_EVIDENCE_MAX], ""])
+        sections.extend(["【原始访谈/对话证据】", source[:_MEMOIR_EVIDENCE_MAX], ""])
     else:
         sections.extend(
             [
-                "【原始访谈/证据】",
-                "无可用原始访谈证据。对于记忆忠实度、事实准确性、事实覆盖率、记忆可追溯性，必须保守打分，不得凭空高分。",
+                "【原始访谈/对话证据】",
+                "无可用局部对话证据。对于记忆忠实度、事实准确性、事实覆盖率、记忆可追溯性，必须保守打分，不得凭空高分。",
+                "",
+            ]
+        )
+    if struct:
+        sections.extend(
+            ["【结构化记忆证据】", struct[:_MEMOIR_EVIDENCE_MAX], ""]
+        )
+    else:
+        sections.extend(
+            [
+                "【结构化记忆证据】",
+                "（本 artifact 未绑定或未解析到 chunk/fact/timeline/summary 证据。）",
                 "",
             ]
         )
@@ -268,12 +285,14 @@ class EvalJudgeService:
         *,
         memoir_markdown: str,
         source_transcript: str = "",
+        structured_evidence: str = "",
         reference_memoir_markdown: str = "",
         evidence_notes: str = "",
     ) -> MemoirJudgeOutput | None:
         result = await self.judge_memoir_result(
             memoir_markdown=memoir_markdown,
             source_transcript=source_transcript,
+            structured_evidence=structured_evidence,
             reference_memoir_markdown=reference_memoir_markdown,
             evidence_notes=evidence_notes,
         )
@@ -284,6 +303,7 @@ class EvalJudgeService:
         *,
         memoir_markdown: str,
         source_transcript: str = "",
+        structured_evidence: str = "",
         reference_memoir_markdown: str = "",
         evidence_notes: str = "",
     ) -> JudgeCallResult[MemoirJudgeOutput]:
@@ -292,6 +312,7 @@ class EvalJudgeService:
         prompt = _build_memoir_judge_prompt(
             memoir_markdown=memoir_markdown,
             source_transcript=source_transcript,
+            structured_evidence=structured_evidence,
             reference_memoir_markdown=reference_memoir_markdown,
             evidence_notes=evidence_notes,
         )