diff --git a/docs/BUG_HISTORY.md b/docs/BUG_HISTORY.md
index bead7195..850d976c 100644
--- a/docs/BUG_HISTORY.md
+++ b/docs/BUG_HISTORY.md
@@ -6735,3 +6735,19 @@
 - 复发自：无
 - 修复版本：待发布
 
+## BUG-440 | 生时校正采集阶段否定后无下一问，对话空转
+
+- 状态：resolved
+- 首次发现：2026-08-29
+- 最近更新：2026-08-29
+- 影响面：`buildMethodFollowupPlan` 方法覆盖口述题、`classifyRectificationTurnIntent` 采集焦点、`applyCollectFocusDenial` / `persistNextInterviewIfIdle`、POST `/api/rectification/agent` 自由文本路径、GET `current_question`
+- 用户现象：点完若干区分卡后，助手口述问家里有没有结婚、添丁或住院这类记得住时间的事。用户回「没有」。助手只确认「记下了」，随后 `current_question` 与 `choice_card` 均为 null，`interview.type = ask_fact_collection`，对话停住，无法继续。
+- 触发条件：方法覆盖未齐（尤其 relatives），剩余可渲染探针都是无年份分盘题；用户对家人口述采集题给出明确否定，且该轮走自由文本而不是点选。
+- 根因：三段同时成立才会空转。(1) 「没有」既不是证据也不是计分答案，`answered_probes` 与 revision 不变；若焦点以 `resolved` 关闭，`declined_skipped_topics` 只聚合 `status in ('declined','skipped')`，`buildMethodFollowupPlan` 又只认 `target_domain`，覆盖度不前进。(2) 无年份分盘题被 `coverageComplete` 挡在 dated 排序之后，计划回落到同领域口述采集题；家人覆盖要求「有家人证据或有 declined 记录」，家里确实没发生过事的用户两条都不满足，而 `varga.d12` 本就是这道家人题、`no` 分支可以计分淘汰候选，却被当成不计分采集题问出去并丢失。(3) 点选路径有 `persistNextInterviewAfterChoice` 保证下一问落库；自由文本路径跑完 `runV9AgentTurn` 后没有同等兜底。Agent 不重复刚被否掉的问题（这点是对的），于是只确认不提问，`current_question` 变成 null。
+- 修复：P0：即将返回某领域 `intent=collect_method_evidence` + `source=method_coverage` 口述题时，若 `rankRenderableDiscriminators` 的 yearless 桶里有同领域可渲染探针，改出该 distinguish 卡（`followupFromRanked`，按既有 `rankDiscriminatorScore` 取最高）。未放宽 coverageComplete 对 yearless 的总排序，避免回归 BUG-405/407。无年份 varga 探针允许铸出 choice_frame，不得向题干借用账本年份。P1：采集焦点自由文本接入同一套轻量分类器；明确否定时服务端把焦点 resolve 成 `declined`（不是 `resolved`），并按点选路径持久化下一问。同步修正 `rectification-resolve-focus` 工具描述。未引入语义正则、关键词表或 A/B/C/D 位置推断。`focusStatusForAnswer` 的 `no → declined` 语义未改。P2：`runV9AgentTurn` 成功后若无 open focus 且 plan 仍有 followup，按点选路径补落下一问。Skill 版本保持 10.0.13，未放宽 confirmation gate。
+- 验证：`frontend/tests/rectification-collect-stall.test.ts` 9 项全过。revision 5 fixture 锁：plan 出 D12 distinguish 卡而不是家人口述题；答 C 焦点 declined 且按 d12 `no` 分支计分；relatives 覆盖后推进 occupation；occupation 口述明确否定 → declined 并推进 horary；自由文本轮结束后只要 plan 有 followup 则 `current_question` 非 null；覆盖未齐时仍先出可渲染有年份区分题，不同领域无年份分盘题仍不出。既有 eight-method / discriminator-followup 里「无年份家人对比在没有有年份区分题时改出口述题」的旧断言，去掉 P0 即变红，现改为期望 D12 卡。`npx tsc --noEmit` 通过；eslint 改动文件 0 error（8 条既有 warning）。指定套件 `tests/rectification-*.test.ts tests/birth-time-rectification-contract.test.ts tests/agentic-rectification-*.test.ts` 667 项、666 通过，1 项 `rectification-ingest-p0-database` 在并行 Docker 下 migration spawn 失败，单独重跑通过。全量 `tests/*.test.ts` 2261 项、2257 通过；4 项失败均为既有环境类（`database-billing-adjustments` / `database-redeem-security` Docker slot 超时、`database-personal-report-jobs` migration、`onboarding-route` 5ms/50ms 竞速），后一项单独重跑通过。失败集合未扩大到产品逻辑。
+- 防复发：同一领域的问题若存在可渲染计分卡，不得改用不计分口述题。采集题的明确否定必须产生 declined 记录，不得写成 resolved。出题层还有 followup 时 `current_question` 不得为 null。不得为了救这条空转而取消 coverageComplete 对 yearless 的总限制。
+- 相关记录：BUG-404、BUG-405、BUG-407、BUG-411、BUG-432、BUG-437
+- 复发自：无
+- 修复版本：待发布
+
diff --git a/frontend/src/app/api/rectification/agent/route.ts b/frontend/src/app/api/rectification/agent/route.ts
index 8f785265..5c31330e 100644
--- a/frontend/src/app/api/rectification/agent/route.ts
+++ b/frontend/src/app/api/rectification/agent/route.ts
@@ -10,7 +10,7 @@ import {
   transitionV9CaseStatus,
 } from "@/lib/rectification-agentic/v9/tool-service";
 import { decideFromDossier, rectificationFollowupCatalog } from "@/lib/rectification-agentic/v9/decision-from-dossier";
-import { applyRectificationChoice } from "@/lib/rectification-agentic/v9/answer-choice";
+import { applyRectificationChoice, applyCollectFocusDenial, persistNextInterviewIfIdle } from "@/lib/rectification-agentic/v9/answer-choice";
 import { mapRectificationRpcError } from "@/lib/rectification-agentic/v9/case-service";
 import { CHOICE_ACTION, STOP_ACTION } from "@/lib/rectification-agentic/v9/choice-action";
 import { runV9AgentTurn, type V9RunBilling } from "@/lib/rectification-agentic/v9/agent-run";
@@ -29,8 +29,9 @@ import { parseAgentChoiceCopy } from "@/lib/rectification-agentic/v9/choice-card
 import {
   classifyRectificationTurnIntent,
   optionIdForAnswerClass,
+  shouldDeclineCollectFocus,
 } from "@/lib/rectification-agentic/v9/turn-intent-classifier";
-import { persistServerOwnedFocus, openQuestionFromPersistedFocus } from "@/lib/rectification-agentic/v9/server-focus";
+import { persistServerOwnedFocus, openQuestionFromPersistedFocus, isCollectFocusSchema } from "@/lib/rectification-agentic/v9/server-focus";
 import { buildMethodFollowupPlan } from "@/lib/rectification-agentic/v9/method-followup";
 
 export const runtime = "nodejs";
@@ -385,6 +386,31 @@ export async function POST(request: Request) {
           await transitionV9CaseStatus(accounting, userId, caseId, "paused");
           return completedMessageResponse(applied.narration, requestId, caseId);
         }
+      } else if (focus && isCollectFocusSchema(focus.expectedAnswerSchema)) {
+        let classified = null;
+        try {
+          classified = await classifyRectificationTurnIntent(selectedModel, {
+            focus,
+            userMessage: parsed.data.message ?? "",
+            caseStatus,
+            signal: request.signal,
+          });
+        } catch {
+          classified = null;
+        }
+        if (shouldDeclineCollectFocus(classified)) {
+          const applied = await applyCollectFocusDenial(accounting, {
+            userId,
+            caseId,
+            focusId: focus.id,
+          });
+          await persistV9DeterministicTurn(accounting, userId, caseId, {
+            requestId,
+            userMessage: parsed.data.message ?? null,
+            assistantMessage: applied.narration,
+          });
+          return completedMessageResponse(applied.narration, requestId, caseId);
+        }
       } else {
         let birthDate: string | null = null;
         try {
@@ -617,6 +643,19 @@ export async function POST(request: Request) {
         if (!result.ok) {
           send({ type: "error", message: "生时校正暂时不可用，请稍后重试。" });
         } else {
+          if (action === "message") {
+            try {
+              await persistNextInterviewIfIdle({
+                accounting: accounting as never,
+                userId,
+                caseId,
+              });
+            } catch (error) {
+              console.warn(
+                `[rectification-v9] persist next interview after turn failed case=${caseId} reason=${error instanceof Error ? error.name : "Unknown"}`,
+              );
+            }
+          }
           send({ type: "done", emitted: true });
         }
       } catch (error) {
diff --git a/frontend/src/lib/rectification-agentic/v9/answer-choice.ts b/frontend/src/lib/rectification-agentic/v9/answer-choice.ts
index ef1ff0a4..63ef5a00 100644
--- a/frontend/src/lib/rectification-agentic/v9/answer-choice.ts
+++ b/frontend/src/lib/rectification-agentic/v9/answer-choice.ts
@@ -13,7 +13,7 @@ import {
   applyChoiceWithoutEvidence,
   previousInferenceFromReceipt,
 } from "./inference-adapter";
-import { decideAfterInferenceChange, rectificationFollowupCatalog } from "./decision-from-dossier";
+import { decideAfterInferenceChange, decideFromDossier, rectificationFollowupCatalog } from "./decision-from-dossier";
 import type { InferenceState } from "../core/types.ts";
 import {
   CHOICE_ACTION,
@@ -32,10 +32,12 @@ import {
   loadV9CaseDossier,
   persistV9ChoiceAction,
   persistV9DeterministicTurn,
+  resolveV10ConversationFocus,
   RectificationToolServiceError,
   safeToolErrorCode,
   type AccountingClient,
   type PersistChoiceActionInput,
+  type V9CaseDossier,
 } from "./tool-service";
 import type { ChoiceKey } from "./choice-card";
 import { persistServerOwnedFocus, openQuestionFromPersistedFocus } from "./server-focus";
@@ -84,6 +86,31 @@ function asText(value: unknown): string | null {
   return typeof value === "string" && value.trim() ? value.trim() : null;
 }
 
+function dossierWithClosedFocus<T extends {
+  conversationSummary: {
+    activeFocus: { targetDomain?: string | null } | null;
+    declinedSkippedTopics: readonly Readonly<Record<string, unknown>>[];
+  };
+}>(dossier: T, status: "resolved" | "declined" | "skipped"): T {
+  const domain = dossier.conversationSummary.activeFocus?.targetDomain ?? null;
+  const declinedSkippedTopics = (
+    (status === "declined" || status === "skipped") && domain
+      ? [
+        ...dossier.conversationSummary.declinedSkippedTopics,
+        { target_domain: domain, status },
+      ]
+      : dossier.conversationSummary.declinedSkippedTopics
+  );
+  return {
+    ...dossier,
+    conversationSummary: {
+      ...dossier.conversationSummary,
+      activeFocus: null,
+      declinedSkippedTopics,
+    },
+  };
+}
+
 export async function applyRectificationChoice(
   accounting: AccountingClient,
   command: ApplyChoiceCommand,
@@ -245,7 +272,7 @@ export async function applyRectificationChoice(
   });
 }
 
-async function persistNextInterviewAfterChoice(input: {
+export async function persistNextInterviewAfterChoice(input: {
   accounting: AccountingClient;
   userId: string;
   caseId: string;
@@ -359,6 +386,105 @@ async function persistFocusAfterChoice(input: {
   }
 }
 
+export async function applyCollectFocusDenial(
+  accounting: AccountingClient,
+  input: { userId: string; caseId: string; focusId: string },
+): Promise<{ narration: string; nextInterviewPersisted: boolean; nextChoiceReady: boolean }> {
+  const dossier = await loadV9CaseDossier(accounting, input.userId, input.caseId);
+  const focus = dossier.conversationSummary.activeFocus;
+  if (!focus || focus.id !== input.focusId) {
+    throw new RectificationToolServiceError("agentic_rectification_focus_not_active");
+  }
+  await resolveV10ConversationFocus(accounting, input.userId, input.caseId, {
+    focusId: input.focusId,
+    status: "declined",
+    evidenceId: null,
+  });
+  let birthDate: string | null = null;
+  try {
+    const compute = await loadV9CaseCompute(accounting, input.userId, input.caseId);
+    birthDate = String(compute.baselineBirthSnapshot.birth_date ?? "") || null;
+  } catch {
+    birthDate = null;
+  }
+  let latest: V9CaseDossier = dossier;
+  try {
+    latest = await loadV9CaseDossier(accounting, input.userId, input.caseId);
+  } catch {
+    latest = dossier;
+  }
+  const withDeclined = dossierWithClosedFocus({
+    ...latest,
+    conversationSummary: {
+      ...latest.conversationSummary,
+      activeFocus: {
+        ...focus,
+        targetDomain: focus.targetDomain,
+      },
+    },
+  }, "declined");
+  const nextAction = publicNextAction(decideFromDossier(withDeclined, { birthDate }));
+  const nextInterview = await persistNextInterviewAfterChoice({
+    accounting,
+    userId: input.userId,
+    caseId: input.caseId,
+    dossier: withDeclined,
+    decisionState: previousInferenceFromReceipt(withDeclined.latestResult?.decisionReceipt ?? null),
+    nextAction,
+    birthDate,
+  });
+  return {
+    narration: nextInterview.hostNarration ?? "记下了，这方面先跳过。",
+    nextInterviewPersisted: Boolean(nextInterview.hostNarration) || nextInterview.choiceReady,
+    nextChoiceReady: nextInterview.choiceReady,
+  };
+}
+
+export async function persistNextInterviewIfIdle(input: {
+  accounting: AccountingClient;
+  userId: string;
+  caseId: string;
+}): Promise<{ persisted: boolean; choiceReady: boolean }> {
+  const dossier = await loadV9CaseDossier(input.accounting, input.userId, input.caseId);
+  if (dossier.conversationSummary.activeFocus) {
+    return { persisted: false, choiceReady: false };
+  }
+  let birthDate: string | null = null;
+  try {
+    const compute = await loadV9CaseCompute(input.accounting, input.userId, input.caseId);
+    birthDate = String(compute.baselineBirthSnapshot.birth_date ?? "") || null;
+  } catch {
+    birthDate = null;
+  }
+  const catalog = rectificationFollowupCatalog(dossier.latestResult, dossier.evidence);
+  const plan = buildMethodFollowupPlan({
+    evidence: dossier.evidence,
+    activeFocus: null,
+    declinedTopics: dossier.conversationSummary.declinedSkippedTopics,
+    sessionOutcome: "collect_evidence",
+    ...catalog,
+    birthDate,
+    accepted: Boolean(dossier.case.acceptedTime),
+  });
+  if (!plan.next_followup) {
+    return { persisted: false, choiceReady: false };
+  }
+  const nextAction = publicNextAction(decideFromDossier(dossier, { birthDate }));
+  const nextInterview = await persistNextInterviewAfterChoice({
+    accounting: input.accounting,
+    userId: input.userId,
+    caseId: input.caseId,
+    dossier,
+    decisionState: previousInferenceFromReceipt(dossier.latestResult?.decisionReceipt ?? null),
+    nextAction,
+    birthDate,
+  });
+  return {
+    persisted: Boolean(nextInterview.hostNarration) || nextInterview.choiceReady,
+    choiceReady: nextInterview.choiceReady,
+  };
+}
+
 async function persistApplied(
   accounting: AccountingClient,
   command: ApplyChoiceCommand,
@@ -422,7 +548,7 @@ async function persistApplied(
       accounting,
       userId: command.userId,
       caseId: command.caseId,
-      dossier: input.dossier,
+      dossier: dossierWithClosedFocus(input.dossier, input.focusStatus),
       decisionState: input.decisionState ?? null,
       nextAction,
       birthDate,
diff --git a/frontend/src/lib/rectification-agentic/v9/choice-card.ts b/frontend/src/lib/rectification-agentic/v9/choice-card.ts
index ced91e8d..9941f35d 100644
--- a/frontend/src/lib/rectification-agentic/v9/choice-card.ts
+++ b/frontend/src/lib/rectification-agentic/v9/choice-card.ts
@@ -278,11 +278,14 @@ function eventQuestionPrompt(
   const time = period.trim();
   const topic = family.replace(/[？?。]+$/g, "").trim();
   if (!topic) return time;
-  if (kind === "event_quality") return `${time}，有没有${topic}的时候？`;
-  if (kind === "varga_style") {
-    return isConcreteChoicePeriod(period) ? `${time}，${topic}？` : `${topic}？`;
+  const dated = isConcreteChoicePeriod(period);
+  if (kind === "event_quality") {
+    return dated ? `${time}，有没有${topic}的时候？` : `有没有${topic}的时候？`;
   }
-  return `${time}，有没有${topic}？`;
+  if (kind === "varga_style") {
+    return dated ? `${time}，${topic}？` : `${topic}？`;
+  }
+  return dated ? `${time}，有没有${topic}？` : `有没有${topic}？`;
 }
 
 function withStyleOptionLabels(
@@ -331,7 +334,8 @@ function hypothesisFor(
   if (!styleOptions.ok) return null;
   const period = periodFor(evidence, domain, probes, birthDate, followup);
   const kind = followup.choice_kind ?? probe.choice_kind ?? "existence";
-  if (kind !== "varga_style" && !isConcreteChoicePeriod(period)) return null;
+  const yearlessVarga = (followup.semantic_key ?? probe.semantic_key ?? "").startsWith("varga.");
+  if (kind !== "varga_style" && !isConcreteChoicePeriod(period) && !yearlessVarga) return null;
   const prompt = eventQuestionPrompt(period, probe.event_family, kind);
   const why = probe.user_meaning?.trim() || followup.user_prompt_hint.trim();
   if (!why) return null;
diff --git a/frontend/src/lib/rectification-agentic/v9/method-followup.ts b/frontend/src/lib/rectification-agentic/v9/method-followup.ts
index a57c7de1..01f416ef 100644
--- a/frontend/src/lib/rectification-agentic/v9/method-followup.ts
+++ b/frontend/src/lib/rectification-agentic/v9/method-followup.ts
@@ -44,9 +44,10 @@
  * do not stamp a ledger year onto a yearless scoring card. An open varga
  * discriminator must resolve from the contrast packet when Python event
  * probes have no row in that domain. Scoring reverse-inference cards need
- * the engine year or month. A yearless D12/family contrast does not attach
- * A/B/C/D; skip it and either ask the next dated discriminator or collect a
- * dated family event in natural language.
+ * the engine year or month. Yearless varga cards stay out of the dated
+ * ranking until coverage is complete. If the next ask would be a spoken
+ * collect in the same domain, prefer a renderable yearless scoring card
+ * instead of an unscoreable collect question.
  */
 
 import {
@@ -1477,9 +1478,17 @@ export function buildMethodFollowupPlan(input: {
       }
     }
   }
+  const sameDomainYearlessCard = (domain: string): MethodFollowup | null => {
+    const ranked = yearlessDiscriminators.find((row) => (
+      (row.eventProbe?.domain ?? row.contrastProbe?.domain ?? null) === domain
+    ));
+    if (!ranked) return null;
+    const candidate = followupFromRanked(ranked);
+    return candidate.choice_frame ? candidate : null;
+  };
   if (!next) {
     if (!relationshipCovered && !declined.has("relationship")) {
-    next = makeFollowup({
+    next = sameDomainYearlessCard("relationship") ?? makeFollowup({
       method_id: "d9_relationship",
       intent: "collect_method_evidence",
       ask_theme: "relationship_style",
@@ -1493,7 +1502,7 @@ export function buildMethodFollowupPlan(input: {
       source: "method_coverage",
     });
   } else if (!careerCovered && !declined.has("career")) {
-    next = makeFollowup({
+    next = sameDomainYearlessCard("career") ?? makeFollowup({
       method_id: "d10_career",
       intent: "collect_method_evidence",
       ask_theme: "career_style",
@@ -1508,7 +1517,7 @@ export function buildMethodFollowupPlan(input: {
     });
   } else if (!familyCovered && !declined.has("family")) {
     const familyCollect = datedCollectionProbe(input.evidenceCollectionProbes, "family");
-    next = makeFollowup({
+    next = sameDomainYearlessCard("family") ?? makeFollowup({
       method_id: "relatives",
       intent: "collect_method_evidence",
       ask_theme: "family_event",
@@ -1523,7 +1532,7 @@ export function buildMethodFollowupPlan(input: {
       ...collectionYearFields(familyCollect),
     });
   } else if (!occupationCovered) {
-    next = makeFollowup({
+    next = sameDomainYearlessCard("occupation") ?? makeFollowup({
       method_id: "occupation",
       intent: "collect_method_evidence",
       ask_theme: "occupation",
@@ -1745,7 +1754,7 @@ export function buildMethodFollowupPlan(input: {
       );
       if (fields) next = makeFollowup(fields, false, true);
     } else if (horaryStatus === "uncovered") {
-      next = makeFollowup({
+      next = sameDomainYearlessCard("horary") ?? makeFollowup({
         method_id: "horary",
         intent: "collect_method_evidence",
         ask_theme: "horary",
diff --git a/frontend/src/lib/rectification-agentic/v9/turn-intent-classifier.ts b/frontend/src/lib/rectification-agentic/v9/turn-intent-classifier.ts
index 1b41ee0c..5aa73db6 100644
--- a/frontend/src/lib/rectification-agentic/v9/turn-intent-classifier.ts
+++ b/frontend/src/lib/rectification-agentic/v9/turn-intent-classifier.ts
@@ -4,6 +4,7 @@ import { z } from "zod";
 import type { ResolvedLanguageModel } from "@/mastra/model";
 import type { AnswerClass } from "../core/types";
 import { parseAgentChoiceCopy, type ChoiceKey } from "./choice-card";
+import { isCollectFocusSchema } from "./server-focus";
 import type { ConversationFocus } from "./tool-service";
 
 const turnIntentSchema = z.object({
@@ -28,6 +29,12 @@ export function parseRectificationTurnIntent(value: unknown): RectificationTurnI
   return parsed.data.answer_class === null ? parsed.data : null;
 }
 
+export function shouldDeclineCollectFocus(
+  classified: RectificationTurnIntent | null,
+): boolean {
+  return classified?.intent === "answer_current_focus" && classified.answer_class === "no";
+}
+
 export function optionIdForAnswerClass(
   focus: ConversationFocus,
   answerClass: AnswerClass,
@@ -46,23 +53,33 @@ export async function classifyRectificationTurnIntent(
   },
 ): Promise<RectificationTurnIntent | null> {
   const choice = parseAgentChoiceCopy(input.focus.expectedAnswerSchema);
-  if (!choice) return null;
+  const collectPrompt = isCollectFocusSchema(input.focus.expectedAnswerSchema)
+    ? String(input.focus.expectedAnswerSchema.prompt ?? "").trim()
+    : "";
+  if (!choice && !collectPrompt) return null;
 
   const agent = new Agent({
     id: `rectification-focus-intent-${model.id}`,
     name: "Rectification Focus Intent Classifier",
     model: model.model,
-    instructions: `你只做当前生时校正问题的意图分类，不回答用户，也不修改任何状态。
+    instructions: choice
+      ? `你只做当前生时校正问题的意图分类，不回答用户，也不修改任何状态。
 结合当前问题和动态选项判断用户是在回答当前问题、提供新的带时间经历、要求停止整个校正、询问结果，还是语义不清。
 若是在回答当前问题，answer_class 必须使用某个选项提供的 answer_class；否则 answer_class 必须为 null。
 “当前方面没有、那段时间没有变化”通常是回答当前问题，不是停止整个流程；只有用户明确要求停止整个校正时才分类为 stop_rectification。
-不要按 A/B/C/D 的位置猜语义，只按选项 label 与 answer_class 判断。`,
+不要按 A/B/C/D 的位置猜语义，只按选项 label 与 answer_class 判断。`
+      : `你只做当前生时校正采集题的意图分类，不回答用户，也不修改任何状态。
+当前问题没有点选选项。判断用户是在回答当前采集题、提供新的带时间经历、要求停止整个校正、询问结果，还是语义不清。
+若用户明确表示这个方面没有发生过、没有这类事，intent 为 answer_current_focus，answer_class 为 no。
+若用户在补充带时间的经历，intent 为 provide_new_evidence，answer_class 必须为 null。
+“当前方面没有”通常是回答当前采集题，不是停止整个流程；只有用户明确要求停止整个校正时才分类为 stop_rectification。
+不要按关键词表或正则猜测，只根据当前问题与用户这句话的语义分类。`,
   });
   const result = await agent.generate([{
     role: "user",
     content: JSON.stringify({
-      current_question: choice.prompt,
-      options: choice.options,
+      current_question: choice?.prompt ?? collectPrompt,
+      options: choice?.options ?? [],
       user_message: input.userMessage,
       case_status: input.caseStatus,
     }),
diff --git a/frontend/src/mastra/rectification-v9-tools.ts b/frontend/src/mastra/rectification-v9-tools.ts
index b8119f4a..e0268079 100644
--- a/frontend/src/mastra/rectification-v9-tools.ts
+++ b/frontend/src/mastra/rectification-v9-tools.ts
@@ -1195,7 +1195,7 @@ export function createRectificationV9Tools(ctx: RectificationV9Context) {
   const resolveFocusTool = createTool({
     id: "rectification-resolve-focus",
     description:
-      "处理用户对当前问题的明确拒答、跳过或无证据式解决。必须引用服务器返回的 active focusId；若目标是既有证据，可同时引用 evidenceId。点选卡由服务器 answer_choice 处理，不要为 A/B/C/D 或「先这样」调用本工具。自由文本拒答/跳过才带 choiceKey，服务器会立刻更新候选后验，不要等下一次 compare。不得从中文措辞或上一条助手消息猜测目标。",
+      "处理用户对当前问题的明确拒答、跳过或无证据式解决。必须引用服务器返回的 active focusId；若目标是既有证据，可同时引用 evidenceId。点选卡由服务器 answer_choice 处理，不要为 A/B/C/D 或「先这样」调用本工具。自由文本拒答/跳过才带 choiceKey，服务器会立刻更新候选后验，不要等下一次 compare。采集题得到「确实没有」必须用 declined；resolved 只用于已落证据的情形。不得从中文措辞或上一条助手消息猜测目标。",
     inputSchema: z.object({
       caseId: z.string().uuid(),
       focusId: z.string().uuid(),
diff --git a/frontend/tests/rectification-choice-card.test.ts b/frontend/tests/rectification-choice-card.test.ts
index f45f034d..da0760f6 100644
--- a/frontend/tests/rectification-choice-card.test.ts
+++ b/frontend/tests/rectification-choice-card.test.ts
@@ -342,16 +342,19 @@ test("yearless D24 quality cards do not borrow a recorded education year", () =>
       style_options: QUALITY_STYLE_OPTIONS,
     }],
   });
-  assert.equal(frame, null);
+  assert.ok(frame);
+  assert.doesNotMatch(frame.period, /2016/);
+  assert.doesNotMatch(frame.prompt, /2016/);
 });
 
-test("yearless family cards do not attach a scoring frame", () => {
+test("yearless family cards attach a scoring frame without borrowing another domain's year", () => {
   const frame = buildChoiceFrame({
     method_id: "relatives",
     ask_theme: "family_event",
     domain: "family",
     user_prompt_hint: "unused",
     choice_kind: "existence",
+    semantic_key: "varga.d12.05:00/05:07",
   }, {
     evidence: [{
       status: "confirmed",
@@ -370,7 +373,10 @@ test("yearless family cards do not attach a scoring frame", () => {
       semantic_key: "varga.d12.05:00/05:07",
     }],
   });
-  assert.equal(frame, null);
+  assert.ok(frame);
+  assert.doesNotMatch(frame.period, /2016/);
+  assert.doesNotMatch(frame.prompt, /2016/);
+  assert.match(frame.neither_label + frame.option_a_hint + frame.option_b_hint, /明确没有发生|家人/);
 });
 
 test("yearless family cards do not borrow a recorded family year", () => {
@@ -380,6 +386,7 @@ test("yearless family cards do not borrow a recorded family year", () => {
     domain: "family",
     user_prompt_hint: "unused",
     choice_kind: "existence",
+    semantic_key: "varga.d12.05:00/05:07",
   }, {
     evidence: [{
       status: "confirmed",
@@ -398,7 +405,9 @@ test("yearless family cards do not borrow a recorded family year", () => {
       semantic_key: "varga.d12.05:00/05:07",
     }],
   });
-  assert.equal(frame, null);
+  assert.ok(frame);
+  assert.doesNotMatch(frame.period, /2018/);
+  assert.doesNotMatch(frame.prompt, /2018/);
 });
 
 test("GET upgrades a persisted placeholder stem to the recorded year lock", () => {
diff --git a/frontend/tests/rectification-collect-stall.test.ts b/frontend/tests/rectification-collect-stall.test.ts
new file mode 100644
index 00000000..7e50e120
--- /dev/null
+++ b/frontend/tests/rectification-collect-stall.test.ts
@@ -0,0 +1,748 @@
+import assert from "node:assert/strict";
+import { readFileSync } from "node:fs";
+import test from "node:test";
+
+import { applyAnswerToState, buildInferenceState } from "../src/lib/rectification-agentic/core/build-state.ts";
+import { applyChoiceWithoutEvidence } from "../src/lib/rectification-agentic/v9/inference-adapter.ts";
+import type { ConflictProbe } from "../src/lib/rectification-agentic/core/types.ts";
+import {
+  rectificationFollowupCatalog,
+  type DecisionDossier,
+} from "../src/lib/rectification-agentic/v9/decision-from-dossier.ts";
+import { buildMethodFollowupPlan } from "../src/lib/rectification-agentic/v9/method-followup.ts";
+import { focusStatusForAnswer } from "../src/lib/rectification-agentic/v9/choice-action.ts";
+import { serverOwnedChoiceCopy } from "../src/lib/rectification-agentic/v9/choice-card.ts";
+import { persistServerOwnedFocus } from "../src/lib/rectification-agentic/v9/server-focus.ts";
+import { projectCurrentQuestion } from "../src/lib/rectification-agentic/v9/turn-decision.ts";
+import {
+  shouldDeclineCollectFocus,
+} from "../src/lib/rectification-agentic/v9/turn-intent-classifier.ts";
+import {
+  applyCollectFocusDenial,
+  persistNextInterviewIfIdle,
+} from "../src/lib/rectification-agentic/v9/answer-choice.ts";
+import { evidenceLedgerFingerprint } from "../src/lib/rectification-agentic/v9/tool-service.ts";
+import { RECTIFICATION_SKILL_VERSION } from "../src/lib/rectification-agentic/v9/case-status.ts";
+import {
+  CASE_ID,
+  FOCUS_ID,
+  TURN_ID,
+  USER_ID,
+  candidateSnapshotFixture,
+  computeFixture,
+  dossierFixture,
+  fakeAccounting,
+  receiptHandlers,
+} from "./rectification-v9-test-support.ts";
+
+const EXISTENCE_OPTIONS = [
+  { label: "明确发生且时间吻合", answer_class: "yes" as const },
+  { label: "发生过但程度较弱", answer_class: "weak_yes" as const },
+  { label: "明确没有发生", answer_class: "no" as const },
+  { label: "这段记不清楚", answer_class: "unsure" as const },
+];
+
+const CANDIDATES = [
+  { id: "04:47", time: "04:47", relative_support: 8 },
+  { id: "04:51", time: "04:51", relative_support: 9 },
+  { id: "04:53", time: "04:53", relative_support: 9 },
+  { id: "04:59", time: "04:59", relative_support: 10 },
+  { id: "05:00", time: "05:00", relative_support: 18 },
+  { id: "05:07", time: "05:07", relative_support: 16 },
+  { id: "05:12", time: "05:12", relative_support: 11 },
+  { id: "05:14", time: "05:14", relative_support: 7 },
+  { id: "05:15", time: "05:15", relative_support: 6 },
+] as const;
+
+const EVIDENCE = [
+  {
+    id: "e-career-entry",
+    status: "confirmed",
+    domain: "career",
+    datePrecision: "month",
+    occurredFrom: "2020-04-01",
+    occurredTo: null,
+    eventKind: "career_entry",
+  },
+  {
+    id: "e-career-exit",
+    status: "confirmed",
+    domain: "career",
+    datePrecision: "month",
+    occurredFrom: "2020-10-01",
+    occurredTo: null,
+    eventKind: "career_exit",
+  },
+  {
+    id: "e-rel-end",
+    status: "confirmed",
+    domain: "relationship",
+    datePrecision: "day",
+    occurredFrom: "2024-08-08",
+    occurredTo: null,
+    eventKind: "relationship_end",
+  },
+  {
+    id: "e-rel-start",
+    status: "confirmed",
+    domain: "relationship",
+    datePrecision: "month",
+    occurredFrom: "2024-05-01",
+    occurredTo: null,
+    eventKind: "relationship_start",
+  },
+] as const;
+
+const FAMILY_2021_COLLECT = {
+  year: 2021,
+  year_label: "2021 年前后",
+  domain: "family" as const,
+  event_family: "家人结婚、添丁或住院",
+  source: "age_band" as const,
+  tracks: ["vimshottari", "narayana"] as const,
+  tracks_agree: false,
+  unique_minute_claim: false as const,
+  user_meaning: "时间范围锁定 2021 年前后；领域锁定 family。",
+  role: "collect" as const,
+  phase: "evidence_collection" as const,
+  information_gain: 0,
+  semantic_key: "family.2021",
+  candidate_split_hash: "family:2021",
+  candidate_ids: [] as const,
+  expected_outcomes: [] as const,
+  choice_kind: "existence" as const,
+};
+
+function vargaExistence(input: {
+  layer: string;
+  gain: number;
+  domain: string;
+  question: string;
+  supports: readonly string[];
+  conflicts: readonly string[];
+}): ConflictProbe {
+  const key = `varga.${input.layer}.${input.supports.join("/")}`;
+  return {
+    id: `contrast:${key}`,
+    semantic_key: key,
+    candidate_split_hash: key,
+    domain: input.domain,
+    year: 0,
+    question: input.question,
+    candidate_ids: [...new Set([...input.supports, ...input.conflicts])],
+    expected_outcomes: [
+      { answer_class: "yes", supports: input.conflicts, conflicts: input.supports },
+      { answer_class: "weak_yes", supports: input.conflicts, conflicts: [] },
+      { answer_class: "no", supports: input.supports, conflicts: input.conflicts },
+      { answer_class: "unsure", supports: [], conflicts: [] },
+    ],
+    information_gain: input.gain,
+    source: "varga_contrast",
+    choice_kind: "existence",
+    style_options: EXISTENCE_OPTIONS,
+  };
+}
+
+const D9: ConflictProbe = {
+  id: "contrast:varga.d9.巨蟹座/狮子座",
+  semantic_key: "varga.d9.巨蟹座/狮子座",
+  candidate_split_hash: "varga.d9.巨蟹座/狮子座",
+  domain: "relationship",
+  year: 0,
+  question: "亲密关系里更接近下面哪一种相处方式？",
+  candidate_ids: ["05:00", "05:07"],
+  expected_outcomes: [
+    { answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
+    { answer_class: "weak_yes", supports: ["05:07"], conflicts: ["05:00"] },
+    { answer_class: "no", supports: [], conflicts: [] },
+    { answer_class: "unsure", supports: [], conflicts: [] },
+  ],
+  information_gain: 1.1,
+  source: "varga_contrast",
+  choice_kind: "varga_style",
+};
+
+const D10: ConflictProbe = {
+  id: "contrast:varga.d10.天秤座/天蝎座",
+  semantic_key: "varga.d10.天秤座/天蝎座",
+  candidate_split_hash: "varga.d10.天秤座/天蝎座",
+  domain: "career",
+  year: 0,
+  question: "平时做事更接近下面哪一种职责风格？",
+  candidate_ids: ["05:00", "05:07"],
+  expected_outcomes: [
+    { answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
+    { answer_class: "weak_yes", supports: ["05:07"], conflicts: ["05:00"] },
+    { answer_class: "no", supports: [], conflicts: [] },
+    { answer_class: "unsure", supports: [], conflicts: [] },
+  ],
+  information_gain: 1.05,
+  source: "varga_contrast",
+  choice_kind: "varga_style",
+};
+
+const CAREER_2023: ConflictProbe = {
+  id: "probe:career.2023.dasha_boundary",
+  semantic_key: "career.2023.dasha_boundary",
+  candidate_split_hash: "career.2023",
+  domain: "career",
+  year: 2023,
+  question: "2023 年前后有没有入职或换工作？",
+  candidate_ids: ["05:00", "05:07"],
+  expected_outcomes: [
+    { answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
+    { answer_class: "no", supports: ["05:07"], conflicts: ["05:00"] },
+    { answer_class: "unsure", supports: [], conflicts: [] },
+  ],
+  information_gain: 0.72,
+  source: "dasha_boundary",
+  choice_kind: "existence",
+  style_options: EXISTENCE_OPTIONS,
+};
+
+const RELOCATION_2015: ConflictProbe = {
+  id: "probe:relocation.2015.dasha_boundary",
+  semantic_key: "relocation.2015.dasha_boundary",
+  candidate_split_hash: "relocation.2015",
+  domain: "relocation",
+  year: 2015,
+  question: "2015 年前后有没有搬家或长期住到外地？",
+  candidate_ids: ["05:00", "05:07"],
+  expected_outcomes: [
+    { answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
+    { answer_class: "no", supports: ["05:07"], conflicts: ["05:00"] },
+    { answer_class: "unsure", supports: [], conflicts: [] },
+  ],
+  information_gain: 0.61,
+  source: "dasha_boundary",
+  choice_kind: "existence",
+  style_options: EXISTENCE_OPTIONS,
+};
+
+const D12 = vargaExistence({
+  layer: "d12",
+  gain: 1.89,
+  domain: "family",
+  question: "家里有没有结婚、添丁或住院这类事？",
+  supports: ["05:00", "05:07", "05:12"],
+  conflicts: ["04:47", "04:51", "04:53", "04:59"],
+});
+
+const D24 = vargaExistence({
+  layer: "d24",
+  gain: 2.5,
+  domain: "education",
+  question: "有没有学业或考试发挥明显失常、压力特别大的时候？",
+  supports: ["05:00"],
+  conflicts: ["05:07"],
+});
+
+const D7 = vargaExistence({
+  layer: "d7",
+  gain: 1.35,
+  domain: "family",
+  question: "有没有子女或子嗣相关的家里变化？",
+  supports: ["05:00", "05:07"],
+  conflicts: ["04:47"],
+});
+
+const D4 = vargaExistence({
+  layer: "d4",
+  gain: 0.99,
+  domain: "relocation",
+  question: "有没有搬家或长期住到外地？",
+  supports: ["05:00"],
+  conflicts: ["05:07"],
+});
+
+const D5 = vargaExistence({
+  layer: "d5",
+  gain: 0.5,
+  domain: "education",
+  question: "有没有记得住年份的升学或考试？",
+  supports: ["05:00"],
+  conflicts: ["05:07"],
+});
+
+const DATED_RELOCATION_2016: ConflictProbe = {
+  id: "probe:relocation.2016.dasha_boundary",
+  semantic_key: "relocation.2016.dasha_boundary",
+  candidate_split_hash: "relocation.2016",
+  domain: "relocation",
+  year: 2016,
+  question: "2016 年前后有没有搬家或长期住到外地？",
+  candidate_ids: ["05:00", "05:07"],
+  expected_outcomes: [
+    { answer_class: "yes", supports: ["05:00"], conflicts: ["05:07"] },
+    { answer_class: "no", supports: ["05:07"], conflicts: ["05:00"] },
+    { answer_class: "unsure", supports: [], conflicts: [] },
+  ],
+  information_gain: 0.8,
+  source: "dasha_boundary",
+  choice_kind: "existence",
+  style_options: EXISTENCE_OPTIONS,
+};
+
+function revision5State(extraProbes: readonly ConflictProbe[] = []) {
+  const probes = [
+    D9,
+    D10,
+    CAREER_2023,
+    RELOCATION_2015,
+    D24,
+    D12,
+    D7,
+    D4,
+    D5,
+    ...extraProbes,
+  ];
+  let state = buildInferenceState({
+    range_start: "04:47",
+    range_end: "05:15",
+    candidates: CANDIDATES,
+    events: [
+      { id: "e-career-entry", domain: "career", year: 2020, precision: "month" },
+      { id: "e-career-exit", domain: "career", year: 2020, precision: "month" },
+      { id: "e-rel-end", domain: "relationship", year: 2024, precision: "day" },
+      { id: "e-rel-start", domain: "relationship", year: 2024, precision: "month" },
+    ],
+    probes,
+  });
+  const answers: ReadonlyArray<{ id: string; answer: "yes" | "weak_yes" | "no" }> = [
+    { id: D9.id, answer: "weak_yes" },
+    { id: D10.id, answer: "weak_yes" },
+    { id: CAREER_2023.id, answer: "no" },
+    { id: RELOCATION_2015.id, answer: "no" },
+  ];
+  for (const item of answers) {
+    state = applyAnswerToState(state, item.id, item.answer);
+  }
+  return state;
+}
+
+function revision5Dossier(
+  state = revision5State(),
+  extra?: { declinedTopics?: ReadonlyArray<Record<string, unknown>>; activeFocus?: DecisionDossier["conversationSummary"]["activeFocus"] },
+): DecisionDossier {
+  return {
+    evidence: EVIDENCE,
+    conversationSummary: {
+      activeFocus: extra?.activeFocus ?? null,
+      declinedSkippedTopics: extra?.declinedTopics ?? [],
+    },
+    latestResult: {
+      resultId: "55555555-5555-4555-8555-555555555555",
+      candidates: state.candidates.map((item) => ({
+        candidateId: item.id,
+        time: item.time,
+        rank: item.rank,
+        relativeSupport: Math.round(item.posterior_score),
+      })),
+      representativeTime: state.representative_time,
+      evidenceLedgerFingerprint: evidenceLedgerFingerprint(EVIDENCE as never),
+      decisionReceipt: {
+        inference_state: state,
+        evidence_collection_probes: [FAMILY_2021_COLLECT],
+      },
+    },
+    case: { acceptedTime: null },
+  };
+}
+
+function planFrom(dossier: DecisionDossier) {
+  const catalog = rectificationFollowupCatalog(dossier.latestResult, dossier.evidence);
+  return buildMethodFollowupPlan({
+    evidence: dossier.evidence,
+    declinedTopics: dossier.conversationSummary.declinedSkippedTopics,
+    sessionOutcome: "discriminate_candidates",
+    ...catalog,
+    candidatesSeparated: false,
+  });
+}
+
+function rpcDossier(decision: DecisionDossier, activeFocus?: Record<string, unknown> | null) {
+  return dossierFixture({
+    evidence: EVIDENCE.map((item) => ({
+      id: item.id,
+      source_turn_id: TURN_ID,
+      subject: "self",
+      event_kind: item.eventKind,
+      domain: item.domain,
+      occurred_from: item.occurredFrom,
+      occurred_to: item.occurredTo,
+      date_precision: item.datePrecision,
+      summary: `${item.occurredFrom} ${item.eventKind}`,
+      status: item.status,
+      supersedes_evidence_id: null,
+      created_at: "2026-08-29T00:00:00.000Z",
+    })),
+    latestResult: candidateSnapshotFixture({
+      decisionReceipt: { ...(decision.latestResult?.decisionReceipt ?? {}) },
+    }),
+    conversationSummary: {
+      confirmed_evidence_summary: [],
+      pending_revisions: [],
+      active_focus: activeFocus ?? null,
+      declined_skipped_topics: decision.conversationSummary.declinedSkippedTopics,
+      candidate_divergence_summary: null,
+      missing_evidence_categories: [],
+      last_result_policy: null,
+      summary_version: 1,
+      updated_at: "2026-08-29T00:00:00.000Z",
+    },
+  });
+}
+
+test("skill version stays 10.0.13 for this collect-stall fix", () => {
+  assert.equal(RECTIFICATION_SKILL_VERSION, "10.0.13");
+});
+
+test("revision 5 with uncovered relatives asks the yearless D12 distinguish card, not a family spoken collect", () => {
+  const state = revision5State();
+  assert.equal(state.revision, 5);
+  assert.equal(state.answered_probes.length, 4);
+  assert.equal(state.events.find((item) => item.id === "e-rel-start")?.usage, "holdout");
+  const unanswered = state.probes.filter((probe) => (
+    !state.answered_probes.some((item) => item.probe_id === probe.id)
+  ));
+  assert.equal(unanswered.some((item) => item.semantic_key.startsWith("varga.d12")), true);
+  assert.equal(unanswered.find((item) => item.semantic_key.startsWith("varga.d12"))?.information_gain, 1.89);
+
+  const plan = planFrom(revision5Dossier(state));
+  assert.equal(plan.methods.find((item) => item.method_id === "relatives")?.status, "uncovered");
+  assert.equal(plan.next_followup?.intent, "distinguish_candidates");
+  assert.match(plan.next_followup?.semantic_key ?? "", /^varga\.d12/);
+  assert.ok(plan.next_followup?.choice_frame);
+  assert.notEqual(plan.next_followup?.source, "method_coverage");
+  const copy = serverOwnedChoiceCopy(plan.next_followup!.choice_frame!);
+  assert.ok(copy?.options.some((item) => item.label === "明确没有发生" && item.answer_class === "no"));
+  assert.equal(copy?.options.find((item) => item.key === "C")?.answer_class, "no");
+});
+
+test("answering C on the D12 card declines the family focus and scores the no branch", () => {
+  const state = revision5State();
+  const plan = planFrom(revision5Dossier(state));
+  assert.match(plan.next_followup?.semantic_key ?? "", /^varga\.d12/);
+  assert.equal(plan.next_followup?.domain, "family");
+  const copy = serverOwnedChoiceCopy(plan.next_followup!.choice_frame!);
+  assert.equal(copy?.options.find((item) => item.key === "C")?.answer_class, "no");
+  assert.equal(focusStatusForAnswer("no", "C"), "declined");
+
+  const applied = applyChoiceWithoutEvidence(state, {
+    choiceKey: "C",
+    schema: {
+      choice: copy,
+      probe_id: D12.id,
+      semantic_key: D12.semantic_key,
+      candidate_split_hash: D12.candidate_split_hash,
+    },
+  });
+  assert.equal(applied.applied, true);
+  assert.equal(applied.answerClass, "no");
+  assert.equal(applied.probeId, D12.id);
+  const recorded = applied.state.answered_probes.find((item) => item.probe_id === D12.id);
+  assert.equal(recorded?.answer_class, "no");
+  const noBranch = D12.expected_outcomes.find((item) => item.answer_class === "no");
+  assert.deepEqual(noBranch?.supports, ["05:00", "05:07", "05:12"]);
+  assert.deepEqual(noBranch?.conflicts, ["04:47", "04:51", "04:53", "04:59"]);
+
+  const next = planFrom(revision5Dossier(applied.state, {
+    declinedTopics: [{ target_domain: "family", status: "declined" }],
+  }));
+  assert.equal(next.methods.find((item) => item.method_id === "relatives")?.status, "covered");
+  assert.equal(next.next_followup?.domain, "occupation");
+  assert.equal(next.next_followup?.intent, "collect_method_evidence");
+  assert.notEqual(next.next_followup?.domain, "family");
+});
+
+test("persistServerOwnedFocus writes family as target_domain so a no answer becomes declined coverage", async () => {
+  const plan = planFrom(revision5Dossier());
+  const accounting = fakeAccounting({
+    ...receiptHandlers,
+    set_agentic_rectification_conversation_focus: (_fn, args) => ({
+      focus: {
+        id: FOCUS_ID,
+        case_id: CASE_ID,
+        question_id: args.p_question_id,
+        intent: args.p_intent,
+        target_evidence_id: args.p_target_evidence_id,
+        target_domain: args.p_target_domain,
+        target_kind: args.p_target_kind,
+        expected_answer_schema: args.p_expected_answer_schema,
+        status: "active",
+        asked_at: "2026-08-29T00:00:00.000Z",
+        resolved_at: null,
+      },
+      idempotent: false,
+    }),
+  });
+  const persisted = await persistServerOwnedFocus({
+    accounting: accounting.client,
+    userId: USER_ID,
+    caseId: CASE_ID,
+    activeFocus: null,
+    decisionReceipt: revision5Dossier().latestResult?.decisionReceipt,
+    followup: plan.next_followup,
+  });
+  assert.equal(persisted.status, "created");
+  const call = accounting.calls.find((item) => item.fn === "set_agentic_rectification_conversation_focus");
+  assert.equal(call?.args.p_target_domain, "family");
+  assert.equal(call?.args.p_intent, "distinguish_candidates");
+});
+
+test("occupation collect denial declines the focus and advances coverage to horary", async () => {
+  assert.equal(shouldDeclineCollectFocus({
+    intent: "answer_current_focus",
+    answer_class: "no",
+  }), true);
+  assert.equal(shouldDeclineCollectFocus({
+    intent: "provide_new_evidence",
+    answer_class: null,
+  }), false);
+  assert.equal(shouldDeclineCollectFocus({
+    intent: "answer_current_focus",
+    answer_class: "unsure",
+  }), false);
+
+  const occupationPlan = planFrom(revision5Dossier(revision5State(), {
+    declinedTopics: [{ target_domain: "family", status: "declined" }],
+  }));
+  assert.equal(occupationPlan.next_followup?.domain, "occupation");
+  assert.equal(occupationPlan.next_followup?.intent, "collect_method_evidence");
+  assert.equal(occupationPlan.next_followup?.choice_frame, null);
+
+  const occupationFocus = {
+    id: FOCUS_ID,
+    case_id: CASE_ID,
+    question_id: "occupation:occupation",
+    intent: "collect_method_evidence",
+    target_evidence_id: null,
+    target_domain: "occupation",
+    target_kind: null,
+    expected_answer_schema: {
+      prompt: "你长期做什么工作？",
+      collect: true,
+    },
+    status: "active",
+    asked_at: "2026-08-29T00:00:00.000Z",
+    resolved_at: null,
+  };
+  let loads = 0;
+  const accounting = fakeAccounting({
+    ...receiptHandlers,
+    get_agentic_rectification_case_dossier: () => {
+      loads += 1;
+      if (loads === 1) {
+        return rpcDossier(revision5Dossier(revision5State(), {
+          declinedTopics: [{ target_domain: "family", status: "declined" }],
+        }), occupationFocus);
+      }
+      return rpcDossier(revision5Dossier(revision5State(), {
+        declinedTopics: [
+          { target_domain: "family", status: "declined" },
+          { target_domain: "occupation", status: "declined" },
+        ],
+      }));
+    },
+    get_agentic_rectification_case_compute: () => computeFixture(),
+    resolve_agentic_rectification_conversation_focus: (_fn, args) => ({
+      focus_id: args.p_focus_id,
+      status: args.p_status,
+      evidence_id: null,
+      idempotent: false,
+    }),
+    set_agentic_rectification_conversation_focus: (_fn, args) => ({
+      focus: {
+        id: "acacacac-acac-4cac-8cac-acacacacacac",
+        case_id: CASE_ID,
+        question_id: args.p_question_id,
+        intent: args.p_intent,
+        target_evidence_id: args.p_target_evidence_id,
+        target_domain: args.p_target_domain,
+        target_kind: args.p_target_kind,
+        expected_answer_schema: args.p_expected_answer_schema,
+        status: "active",
+        asked_at: "2026-08-29T00:00:00.000Z",
+        resolved_at: null,
+      },
+      idempotent: false,
+    }),
+  });
+
+  const applied = await applyCollectFocusDenial(accounting.client, {
+    userId: USER_ID,
+    caseId: CASE_ID,
+    focusId: FOCUS_ID,
+  });
+  const resolve = accounting.calls.find((item) => item.fn === "resolve_agentic_rectification_conversation_focus");
+  assert.equal(resolve?.args.p_status, "declined");
+  assert.notEqual(resolve?.args.p_status, "resolved");
+  const setFocus = accounting.calls.find((item) => item.fn === "set_agentic_rectification_conversation_focus");
+  assert.equal(setFocus?.args.p_target_domain, "horary");
+  assert.equal(setFocus?.args.p_intent, "collect_method_evidence");
+  assert.ok(applied.narration);
+
+  const horary = planFrom(revision5Dossier(revision5State(), {
+    declinedTopics: [
+      { target_domain: "family", status: "declined" },
+      { target_domain: "occupation", status: "declined" },
+    ],
+  }));
+  assert.equal(horary.next_followup?.domain, "horary");
+});
+
+test("free-text turns persist the next followup so current_question is not null", async () => {
+  const route = readFileSync(new URL("../src/app/api/rectification/agent/route.ts", import.meta.url), "utf8");
+  const afterRun = route.slice(route.indexOf("const result = await runV9AgentTurn"));
+  assert.match(afterRun, /persistNextInterviewIfIdle/);
+  assert.ok(afterRun.indexOf("result.ok") < afterRun.indexOf("persistNextInterviewIfIdle"));
+
+  const occupationPlan = planFrom(revision5Dossier(revision5State(), {
+    declinedTopics: [{ target_domain: "family", status: "declined" }],
+  }));
+  assert.ok(occupationPlan.next_followup);
+
+  const accounting = fakeAccounting({
+    ...receiptHandlers,
+    get_agentic_rectification_case_dossier: () => rpcDossier(revision5Dossier(revision5State(), {
+      declinedTopics: [{ target_domain: "family", status: "declined" }],
+    })),
+    get_agentic_rectification_case_compute: () => computeFixture(),
+    set_agentic_rectification_conversation_focus: (_fn, args) => ({
+      focus: {
+        id: FOCUS_ID,
+        case_id: CASE_ID,
+        question_id: args.p_question_id,
+        intent: args.p_intent,
+        target_evidence_id: args.p_target_evidence_id,
+        target_domain: args.p_target_domain,
+        target_kind: args.p_target_kind,
+        expected_answer_schema: args.p_expected_answer_schema,
+        status: "active",
+        asked_at: "2026-08-29T00:00:00.000Z",
+        resolved_at: null,
+      },
+      idempotent: false,
+    }),
+  });
+  const persisted = await persistNextInterviewIfIdle({
+    accounting: accounting.client,
+    userId: USER_ID,
+    caseId: CASE_ID,
+  });
+  assert.equal(persisted.persisted, true);
+  const setFocus = accounting.calls.find((item) => item.fn === "set_agentic_rectification_conversation_focus");
+  assert.ok(setFocus);
+  const question = projectCurrentQuestion({
+    id: FOCUS_ID,
+    questionId: String(setFocus?.args.p_question_id ?? ""),
+    intent: String(setFocus?.args.p_intent ?? ""),
+    targetDomain: typeof setFocus?.args.p_target_domain === "string" ? setFocus.args.p_target_domain : null,
+    expectedAnswerSchema: setFocus?.args.p_expected_answer_schema as Record<string, unknown>,
+  });
+  assert.notEqual(question, null);
+  assert.equal(question?.kind, "collect_spoken");
+});
+
+test("coverage incomplete still prefers a dated discriminator over a same-turn yearless varga card", () => {
+  const state = revision5State([DATED_RELOCATION_2016]);
+  const plan = planFrom(revision5Dossier(state));
+  assert.equal(plan.next_followup?.semantic_key, DATED_RELOCATION_2016.semantic_key);
+  assert.ok(plan.next_followup?.choice_frame);
+  assert.notEqual(plan.next_followup?.source, "method_coverage");
+  assert.doesNotMatch(plan.next_followup?.semantic_key ?? "", /varga\.d12/);
+});
+
+test("yearless varga in another domain stays behind uncovered-method spoken collect", () => {
+  const evidence = [
+    {
+      id: "e-career",
+      status: "confirmed",
+      domain: "career",
+      datePrecision: "year" as const,
+      occurredFrom: "2020-01-01",
+      occurredTo: null,
+      eventKind: "career_entry",
+    },
+    {
+      id: "e-rel",
+      status: "confirmed",
+      domain: "relationship",
+      datePrecision: "year" as const,
+      occurredFrom: "2024-01-01",
+      occurredTo: null,
+      eventKind: "relationship_end",
+    },
+    {
+      id: "e-edu",
+      status: "confirmed",
+      domain: "education",
+      datePrecision: "year" as const,
+      occurredFrom: "2016-01-01",
+      occurredTo: null,
+      eventKind: "education_start",
+    },
+    {
+      id: "e-job",
+      status: "confirmed",
+      domain: "occupation",
+      datePrecision: "unknown" as const,
+      occurredFrom: null,
+      occurredTo: null,
+      eventKind: "occupation_note",
+    },
+  ];
+  const plan = buildMethodFollowupPlan({
+    evidence,
+    contrastPacket: {
+      candidateSetVersion: "05:00-05:07",
+      vargaDifferences: [],
+      probes: [{
+        probeId: D24.id,
+        candidateSetVersion: "05:00-05:07",
+        question: D24.question,
+        expectedOutcomes: D24.expected_outcomes.map((row) => ({
+          outcomeId: row.answer_class,
+          supportsCandidateIds: [...row.supports],
+          conflictsCandidateIds: [...row.conflicts],
+        })),
+        candidateSplitHash: D24.candidate_split_hash,
+        informationGain: D24.information_gain,
+        sourceFeatures: [{ technique: "D24", calculationResultId: null }],
+        domain: "education",
+        year: null,
+        semanticKey: D24.semantic_key,
+        choiceKind: "existence",
+        styleOptions: EXISTENCE_OPTIONS.map((item) => ({
+          label: item.label,
+          answerClass: item.answer_class,
+        })),
+      }],
+    },
+    candidatesSeparated: false,
+  });
+  assert.equal(plan.next_followup?.domain, "family");
+  assert.doesNotMatch(plan.next_followup?.semantic_key ?? "", /varga\.d24/);
+});
+
+test("collect-focus classifier and resolve-focus copy do not treat explicit no as resolved", () => {
+  const route = readFileSync(new URL("../src/app/api/rectification/agent/route.ts", import.meta.url), "utf8");
+  const classifier = readFileSync(new URL("../src/lib/rectification-agentic/v9/turn-intent-classifier.ts", import.meta.url), "utf8");
+  const tools = readFileSync(new URL("../src/mastra/rectification-v9-tools.ts", import.meta.url), "utf8");
+  const fastPath = route.slice(
+    route.indexOf('if (action === "message")'),
+    route.indexOf("const requestTime"),
+  );
+  assert.match(fastPath, /isCollectFocusSchema/);
+  assert.match(fastPath, /shouldDeclineCollectFocus/);
+  assert.match(fastPath, /applyCollectFocusDenial/);
+  assert.match(classifier, /collect === true|isCollectFocusSchema/);
+  assert.doesNotMatch(classifier + fastPath, /USER_STOP_PATTERN|parseChoiceKeyFromUserMessage/);
+  const resolveTool = tools.slice(
+    tools.indexOf('id: "rectification-resolve-focus"'),
+    tools.indexOf("inputSchema: z.object({", tools.indexOf('id: "rectification-resolve-focus"')),
+  );
+  assert.match(resolveTool, /declined/);
+  assert.match(resolveTool, /采集题|确实没有/);
+  assert.match(resolveTool, /resolved 只用于已落证据|已落证据/);
+});
diff --git a/frontend/tests/rectification-discriminator-followup-consistency.test.ts b/frontend/tests/rectification-discriminator-followup-consistency.test.ts
index 2486c851..86b44503 100644
--- a/frontend/tests/rectification-discriminator-followup-consistency.test.ts
+++ b/frontend/tests/rectification-discriminator-followup-consistency.test.ts
@@ -345,7 +345,7 @@ test("method coverage incomplete still asks a renderable D9 style card", () => {
   assert.equal(decision.probe?.semanticKey, plan.next_followup?.semantic_key);
 });
 
-test("clock-key varga_style without signs fail-closes to collect instead of a dead-end discriminator", () => {
+test("clock-key varga_style without signs fail-closes to a same-domain D12 card instead of a dead-end discriminator", () => {
   const d9Clock: ConflictProbe = {
     ...D9_STYLE_NO_OPTIONS,
     id: "contrast:varga.d9.05:00/05:10",
@@ -415,14 +415,16 @@ test("clock-key varga_style without signs fail-closes to collect instead of a de
     ...catalog,
     candidatesSeparated: false,
   });
-  assert.equal(followupAsksRenderableDiscriminator(plan.next_followup), false);
-  assert.equal(plan.next_followup?.intent, "collect_method_evidence");
-  assert.equal(plan.next_followup?.choice_frame, null);
-  assert.equal(plan.next_followup?.source, "method_coverage");
+  assert.equal(followupAsksRenderableDiscriminator(plan.next_followup), true);
+  assert.equal(plan.next_followup?.intent, "distinguish_candidates");
+  assert.match(plan.next_followup?.semantic_key ?? "", /^varga\.d12/);
+  assert.ok(plan.next_followup?.choice_frame);
+  assert.notEqual(plan.next_followup?.semantic_key, d9Clock.semantic_key);
+  assert.notEqual(plan.next_followup?.semantic_key, d10Clock.semantic_key);
 
   const decision = decideFromDossier(clockDossier);
-  assert.notEqual(decision.nextAction, "ask_candidate_discriminator");
-  assert.equal(decision.nextAction, "ask_fact_collection");
+  assert.equal(decision.nextAction, "ask_candidate_discriminator");
+  assert.equal(decision.probe?.semanticKey, plan.next_followup?.semantic_key);
   assert.equal(decision.canConfirmExactMinute, false);
 });
 
diff --git a/frontend/tests/rectification-eight-method.test.ts b/frontend/tests/rectification-eight-method.test.ts
index a46dca96..25b16559 100644
--- a/frontend/tests/rectification-eight-method.test.ts
+++ b/frontend/tests/rectification-eight-method.test.ts
@@ -2000,7 +2000,7 @@ test("yearless family contrast yields to a dated career discriminator", () => {
   assert.doesNotMatch(plan.next_followup?.choice_frame?.prompt ?? "", /那段时间/);
 });
 
-test("yearless family contrast without a dated discriminator collects a dated family event", () => {
+test("yearless family contrast without a dated discriminator asks the D12 distinguish card", () => {
   const plan = buildMethodFollowupPlan({
     evidence: [
       ...CLASSIC_COVERAGE.filter((item) => item.domain !== "horary" && item.domain !== "family"),
@@ -2013,11 +2013,11 @@ test("yearless family contrast without a dated discriminator collects a dated fa
     },
     candidatesSeparated: false,
   });
-  assert.equal(plan.next_followup?.intent, "collect_method_evidence");
+  assert.equal(plan.next_followup?.intent, "distinguish_candidates");
   assert.equal(plan.next_followup?.domain, "family");
-  assert.equal(plan.next_followup?.choice_frame, null);
-  assert.match(plan.next_followup?.user_prompt_hint ?? "", /记得住时间/);
-  assert.doesNotMatch(plan.next_followup?.user_prompt_hint ?? "", /A\/B\/C\/D/);
+  assert.match(plan.next_followup?.semantic_key ?? "", /^varga\.d12/);
+  assert.ok(plan.next_followup?.choice_frame);
+  assert.notEqual(plan.next_followup?.source, "method_coverage");
 });
 
 test("family collect attaches the collection-probe year instead of a yearless D24 card", () => {
@@ -2076,7 +2076,7 @@ test("family collect attaches the collection-probe year instead of a yearless D2
   assert.match(spokenFollowupForUser(plan.next_followup) ?? "", /2021 年前后，家里有没有/);
 });
 
-test("already-open yearless family card does not keep a scoring frame", () => {
+test("already-open yearless family card keeps the D12 scoring frame", () => {
   const plan = buildMethodFollowupPlan({
     evidence: [
       ...CLASSIC_COVERAGE.filter((item) => item.domain !== "horary" && item.domain !== "family"),
@@ -2109,10 +2109,9 @@ test("already-open yearless family card does not keep a scoring frame", () => {
       },
     },
   });
-  assert.notEqual(plan.next_followup?.choice_frame?.prompt, "那段时间，有没有家人相关的明显变化？");
-  assert.equal(plan.next_followup?.choice_frame, null);
-  assert.equal(plan.next_followup?.intent, "collect_method_evidence");
-  assert.equal(plan.next_followup?.domain, "family");
+  assert.equal(plan.next_followup?.intent, "distinguish_candidates");
+  assert.ok(plan.next_followup?.choice_frame);
+  assert.match(plan.next_followup?.semantic_key ?? "", /varga\.d12/);
 });
 
 test("already-open dated career card stays ahead of a yearless D24 catalog row", () => {