diff --git a/docs/BUG_HISTORY.md b/docs/BUG_HISTORY.md
index 68b2daa9..2310c28d 100644
--- a/docs/BUG_HISTORY.md
+++ b/docs/BUG_HISTORY.md
@@ -6221,6 +6221,22 @@
 - 复发自：BUG-405（排序公式对，目录被投影饿死，已打开低分卡锁题）
 - 修复版本：待发布
 
+## BUG-409 | staging publish 的 next build 因 answered_probes.id 与 optional receipt 失败
+
+- 状态：resolved
+- 首次发现：2026-08-28
+- 最近更新：2026-08-28
+- 影响面：Gitea `backend-quality-gate.yml` `publish`、`deploy/railway-web.Dockerfile` 的 `RUN npm run build`、`contrastPacketFromLatestResult`、Mastra `rectification-v9-tools`
+- 用户现象：向 `staging` 推送月份精度修复后，run `2128` validate 通过，publish 在 web 镜像 `next build` 失败。没有 dispatch `Deploy staging`。公网仍停在上一成功 SHA。
+- 触发条件：staging push 的 validate 跳过 `npm run build`；publish 才在 Docker 里跑 TypeScript。
+- 根因：`answered_probes` 的字段是 `probe_id`，目录过滤写成了不存在的 `item.id`，`tsc` 报 TS2339。工具侧 `latestResult.decisionReceipt` 可为 `undefined`，目录函数要求 `| null`，报 TS2345。BuildKit 日志末尾仍是 `skill-package-registry.ts` 的 Import traces，真正失败是 `Failed to type check`。
+- 修复：已答探针按 `probe_id` 过滤。目录函数接受 `undefined` latest，并把缺省 receipt 收成 `null` 再往下传。
+- 验证：`npx tsc --noEmit`；`rectification-decision-authority` 锁定已答探针按 `probe_id` 退出目录。
+- 防复发：改生时纠正目录或 Mastra 工具类型后，推 staging 前必须跑 `npx tsc --noEmit` 或等价 `next build`，不能只跑 `tsx --test`。
+- 相关记录：BUG-309、BUG-315、BUG-321、BUG-371、BUG-408
+- 复发自：BUG-309（validate 跳过 `next build`，publish 才暴露类型错误）
+- 修复版本：待发布
+
 ## BUG-408 | 反推题丢掉大运起点的月份，同年 3 月对 9 月问不出来
 
 - 状态：resolved
diff --git a/frontend/src/lib/rectification-agentic/v9/decision-from-dossier.ts b/frontend/src/lib/rectification-agentic/v9/decision-from-dossier.ts
index c7332c04..95c86e14 100644
--- a/frontend/src/lib/rectification-agentic/v9/decision-from-dossier.ts
+++ b/frontend/src/lib/rectification-agentic/v9/decision-from-dossier.ts
@@ -60,7 +60,7 @@ export type DecisionDossier = Readonly<{
   };
   latestResult: {
     resultId?: string;
-    decisionReceipt: Readonly<Record<string, unknown>> | null;
+    decisionReceipt?: Readonly<Record<string, unknown>> | null;
     selectionAllowed?: boolean;
     confirmationAllowed?: boolean;
     candidates?: readonly Readonly<{
@@ -124,13 +124,13 @@ function holdoutStatusFromState(state: InferenceState) {
 }
 
 export function contrastPacketFromLatestResult(
-  latest: DecisionDossier["latestResult"],
+  latest: DecisionDossier["latestResult"] | undefined,
   evidence: DecisionDossier["evidence"] = [],
 ): CandidateContrastPacket {
   const windowScan = windowScanFromDecisionReceipt(latest?.decisionReceipt ?? null);
   const refinement = refinementFromDecisionReceipt(latest?.decisionReceipt ?? null);
   const inference = previousInferenceFromReceipt(latest?.decisionReceipt ?? null);
-  const answered = new Set((inference?.answered_probes ?? []).map((item) => item.id));
+  const answered = new Set((inference?.answered_probes ?? []).map((item) => item.probe_id));
   const fromInference: EngineContrastProbe[] = (inference?.probes ?? []).flatMap((probe) => {
     if (answered.has(probe.id) || probe.information_gain <= 0) return [];
     if (probe.source === "known_event_quality") return [];
@@ -172,7 +172,7 @@ export function contrastPacketFromLatestResult(
         ? [{ layer: "d10", signs: windowScan.d10_sign_names }]
         : []),
     ],
-    candidateTimes: discriminatorCandidateTimes(latest),
+    candidateTimes: discriminatorCandidateTimes(latest ?? null),
     transitions: windowScan?.transitions ?? [],
     askedKeys: askedDiscriminatorKeys(latest?.decisionReceipt, evidence),
     volunteeredDomains: volunteeredDomainsFromEvidence(evidence),
@@ -202,15 +202,15 @@ export function contrastPacketFromDossier(dossier: DecisionDossier): CandidateCo
 }
 
 export function rectificationFollowupCatalog(
-  latest: DecisionDossier["latestResult"],
+  latest: DecisionDossier["latestResult"] | undefined,
   evidence: DecisionDossier["evidence"] = [],
 ) {
   const receipt = latest?.decisionReceipt ?? null;
   const refinement = refinementFromDecisionReceipt(receipt);
   const inference = previousInferenceFromReceipt(receipt);
   return {
-    contrastPacket: contrastPacketFromLatestResult(latest, evidence),
-    topCandidateTimes: discriminatorCandidateTimes(latest),
+    contrastPacket: contrastPacketFromLatestResult(latest ?? null, evidence),
+    topCandidateTimes: discriminatorCandidateTimes(latest ?? null),
     askedProbeKeys: askedDiscriminatorKeys(receipt, evidence),
     eventProbes: refinement.discriminating_event_probes,
     eventClarificationProbes: refinement.event_clarification_probes,
diff --git a/frontend/src/mastra/rectification-v9-tools.ts b/frontend/src/mastra/rectification-v9-tools.ts
index c2703280..8dc39aec 100644
--- a/frontend/src/mastra/rectification-v9-tools.ts
+++ b/frontend/src/mastra/rectification-v9-tools.ts
@@ -189,7 +189,7 @@ function contrastPacketFromLatest(
   latest: NonNullable<DossierForTools["latestResult"]> | null | undefined,
   evidence: DossierForTools["evidence"] = [],
 ) {
-  return contrastPacketFromLatestResult(latest, evidence);
+  return contrastPacketFromLatestResult(latest ?? null, evidence);
 }
 
 function snapshotSourceFromDossier(
diff --git a/frontend/tests/rectification-decision-authority.test.ts b/frontend/tests/rectification-decision-authority.test.ts
index 0134e839..14f743e5 100644
--- a/frontend/tests/rectification-decision-authority.test.ts
+++ b/frontend/tests/rectification-decision-authority.test.ts
@@ -146,6 +146,70 @@ test("recorded education evidence does not suppress an unasked D24 discriminator
   assert.equal(packet.probes[0]?.expectedOutcomes.at(-1)?.outcomeId, "unsure");
 });
 
+test("answered inference probes drop out of the catalog by probe_id", () => {
+  const outcomes = [
+    { answer_class: "yes" as const, supports: ["05:00"], conflicts: ["05:12"] },
+    { answer_class: "no" as const, supports: ["05:12"], conflicts: ["05:00"] },
+    { answer_class: "unsure" as const, supports: [], conflicts: [] },
+  ];
+  const packet = contrastPacketFromDossier({
+    evidence: [],
+    conversationSummary: { activeFocus: null, declinedSkippedTopics: [] },
+    latestResult: {
+      resultId: "result-answered-probe",
+      candidates: [
+        { candidateId: "c-0500", time: "05:00", relativeSupport: 20 },
+        { candidateId: "c-0512", time: "05:12", relativeSupport: 15 },
+      ],
+      decisionReceipt: {
+        inference_state: {
+          algorithm_version: "rectification-inference-v1",
+          candidate_set_id: "05:00-05:12:05:00,05:12",
+          revision: 1,
+          phase: "discrimination",
+          result_status: "discriminating",
+          range_start: "05:00",
+          range_end: "05:12",
+          candidates: [
+            { id: "05:00", time: "05:00", cluster_range: ["05:00", "05:00"], prior_score: 20, posterior_score: 20, probability: 0.6, status: "active", rank: 1, strong_conflict_count: 0 },
+            { id: "05:12", time: "05:12", cluster_range: ["05:12", "05:12"], prior_score: 15, posterior_score: 15, probability: 0.4, status: "active", rank: 2, strong_conflict_count: 0 },
+          ],
+          events: [],
+          probes: [{
+            id: "probe:career.2018.dasha_boundary:hash",
+            year: 2018,
+            domain: "career",
+            source: "dasha_boundary",
+            question: "2018 年 3 月前后 career",
+            semantic_key: "career.2018.dasha_boundary",
+            candidate_ids: ["05:00", "05:12"],
+            information_gain: 1.2,
+            expected_outcomes: outcomes,
+            candidate_split_hash: "hash",
+          }],
+          answered_probes: [{
+            probe_id: "probe:career.2018.dasha_boundary:hash",
+            semantic_key: "career.2018.dasha_boundary",
+            candidate_split_hash: "hash",
+            answer_class: "yes",
+            classified_from: "choice",
+          }],
+          rounds: [],
+          entropy: 1,
+          representative_time: "05:00",
+          credible_range: ["05:00", "05:12"],
+        },
+      },
+    },
+    case: { acceptedTime: null },
+  });
+  assert.equal(packet.probes.some((probe) => probe.semanticKey === "career.2018.dasha_boundary"), false);
+
+  const adapter = readSource("../src/lib/rectification-agentic/v9/decision-from-dossier.ts");
+  assert.match(adapter, /answered_probes[\s\S]{0,120}item\.probe_id/);
+  assert.doesNotMatch(adapter, /answered_probes[\s\S]{0,120}item\.id\)/);
+});
+
 test("scored inference catalog outranks a low-gain Python career probe when snapshot candidates are empty", () => {
   const careerOutcomes = [
     { answer_class: "yes", supports: ["04:45", "05:00", "05:14"], conflicts: ["05:15"] },