diff --git a/frontend/src/components/conversational-birth-time-rectification.tsx b/frontend/src/components/conversational-birth-time-rectification.tsx
index b433f30f..3cdf9e6c 100644
--- a/frontend/src/components/conversational-birth-time-rectification.tsx
+++ b/frontend/src/components/conversational-birth-time-rectification.tsx
@@ -248,7 +248,7 @@ export function ConversationalRectificationSurface({
             <p>
               正在更正：<strong>{controller.correctionTarget.dateLabel} · {controller.correctionTarget.summary}</strong>
             </p>
-            <span>提交后会保留原记录用于审计，但候选评分只使用更正后的有效证据。</span>
+            <span>一次只更正一条事件。提交后会保留原记录用于审计，但候选评分只使用更正后的有效证据。</span>
             <button
               className="button-secondary"
               disabled={controller.pending}
diff --git a/frontend/src/lib/conversational-rectification/orchestrator.ts b/frontend/src/lib/conversational-rectification/orchestrator.ts
index 210550f7..d315b7b5 100644
--- a/frontend/src/lib/conversational-rectification/orchestrator.ts
+++ b/frontend/src/lib/conversational-rectification/orchestrator.ts
@@ -331,19 +331,35 @@ function domainsForClarification(
     : ["career", "relationship"];
 }
 
+type CorrectionResetReason =
+  | "needs_clarification"
+  | "non_scoreable"
+  | "direction_change"
+  | "validation_fallback";
+
 function nonScoringTurn(input: {
   readonly current: LoadedConversationalRectificationCase;
   readonly newEvidence: ReadonlyArray<LifeEventEvidenceInput>;
   readonly domain?: RectificationEvidenceDomain;
   readonly directionChange: boolean;
   readonly scoringFallback?: boolean;
-  readonly correctionClarificationPacket?: RectificationTechnicalPacket;
+  readonly correctionReset?: Readonly<{
+    packet: RectificationTechnicalPacket;
+    reason: CorrectionResetReason;
+  }>;
 }): { readonly turn: ConversationalRectificationTurn; readonly receipt: ValidationReceipt } {
   const allEvidence = [...input.current.eventEvidence, ...input.newEvidence];
   const hasFuture = input.newEvidence.some((item) => item.extractionStatus !== "needs_clarification"
     && item.scoreable === false && item.dateValue !== null);
-  const narrative = input.correctionClarificationPacket
-    ? "这条更正已保存，原记录已经停止参与候选评分。更正后的事件时间还不够清楚，请补充大约年份、月份和发生了什么；在补清之前不会沿用旧证据推进确认。"
+  const correctionNarrative = input.correctionReset?.reason === "validation_fallback"
+    ? "这条更正已保存，原记录已经停止参与候选评分。候选已从声明范围重新计算，但新的专业解释未通过事实一致性校验；本轮不会保留旧候选的确认资格，请稍后重试或继续补充真实事件。"
+    : input.correctionReset?.reason === "direction_change"
+      ? "这条更正已保存，原记录已经停止参与候选评分。我们会从声明范围重新开始核对，你可以换一个真实事件方向并尽量写明年月；本轮不会沿用旧候选推进确认。"
+      : input.correctionReset?.reason === "non_scoreable"
+        ? "这条更正已保存，原记录已经停止参与候选评分。更正后的内容目前不能作为已经发生的评分证据，候选已从声明范围重新计算；请再补充一件已发生并带有年月的事件。"
+        : "这条更正已保存，原记录已经停止参与候选评分。更正后的事件时间还不够清楚，候选已从声明范围重新计算；请补充大约年份、月份和发生了什么。";
+  const narrative = input.correctionReset
+    ? correctionNarrative
     : input.scoringFallback
     ? "本轮原文已安全保存，但新的专业解释未通过事实一致性校验，因此候选没有推进。请稍后重试，或继续补充一件已经发生并带有年月的事件。"
     : input.directionChange
@@ -351,7 +367,7 @@ function nonScoringTurn(input: {
       : hasFuture
         ? "已保存这段描述。未来事件只能作为背景，不能用于校正评分；请再说一件已经发生的事件，并尽量写明年月。"
         : "我已保存你的原话，但还缺少可用于区分候选的明确时间。请用自己的话补充这件已经发生的事大约是哪一年、哪一月；不需要选择固定答案。";
-  const status = input.correctionClarificationPacket
+  const status = input.correctionReset
     ? "active" as const
     : input.current.status === "confirming" ? "confirming" as const : "active" as const;
   const actions = actionsFor(status);
@@ -370,12 +386,12 @@ function nonScoringTurn(input: {
     evidenceRequest,
     evidenceRecap: evidenceRecap(allEvidence),
     actions,
-    ...(input.correctionClarificationPacket ? {
+    ...(input.correctionReset ? {
       candidate: {
-        ...projectRectificationTechnicalPacket(input.correctionClarificationPacket).candidate,
+        ...projectRectificationTechnicalPacket(input.correctionReset.packet).candidate,
         status: "pending_validation" as const,
       },
-      technicalReceipt: exactTechnicalReceipt(input.correctionClarificationPacket),
+      technicalReceipt: exactTechnicalReceipt(input.correctionReset.packet),
     } : {}),
   });
   if (!parsed.success) throw new ConversationalRectificationError("service_unavailable");
@@ -457,6 +473,9 @@ export function createConversationalRectificationService(
       throw new ConversationalRectificationError("invalid_command");
     }
     if (extracted.length > 20) throw new ConversationalRectificationError("invalid_command");
+    if (command.correctsEvidenceId && extracted.length !== 1) {
+      throw new ConversationalRectificationError("invalid_command");
+    }
     return extracted;
   }
 
@@ -644,34 +663,110 @@ export function createConversationalRectificationService(
       const explicitDirectionChange = explicitDirectionChangePattern.test(command.answer);
       const directionChange = explicitDirectionChange
         || (scoreableEvidence.length === 0 && genericUncertaintyPattern.test(command.answer));
-      const unclearCorrection = Boolean(command.correctsEvidenceId)
-        && evidence.some((item) => item.extractionStatus === "needs_clarification");
-      if (unclearCorrection) {
+      const allScoreable = effectiveLifeEventEvidence([...current.eventEvidence, ...evidence])
+        .filter((item) => item.scoreable === true
+          && item.extractionStatus !== "needs_clarification"
+          && !evidencePredatesBirthDate(item, current.declaredBirthInput.birthDate));
+
+      if (command.correctsEvidenceId) {
         try {
-          const allScoreable = effectiveLifeEventEvidence([...current.eventEvidence, ...evidence])
-            .filter((item) => item.scoreable === true
-              && item.extractionStatus !== "needs_clarification"
-              && !evidencePredatesBirthDate(item, current.declaredBirthInput.birthDate));
           const computed = await ports.buildTechnicalPacket({
             userId,
             caseId: command.caseId,
             asOfDate: ports.asOfDate(),
             declaredBirthInput: current.declaredBirthInput,
-            privateCandidate: current.privateCandidate,
+            // A correction invalidates any range narrowed by the retired fact.
+            // Rebuild from the user's declared/baseline range so eliminated
+            // minutes can re-enter the deterministic scan.
+            privateCandidate: null,
             evidence: allScoreable,
           });
-          const next = nonScoringTurn({
-            current,
-            newEvidence: evidence,
-            domain: command.domain,
-            directionChange: false,
-            correctionClarificationPacket: computed.packet,
+          const replacement = evidence[0];
+          if (!replacement) throw new ConversationalRectificationError("invalid_command");
+          const resetReason: CorrectionResetReason | null = directionChange
+            ? "direction_change"
+            : replacement.extractionStatus === "needs_clarification"
+              ? "needs_clarification"
+              : replacement.scoreable !== true ? "non_scoreable" : null;
+          if (resetReason) {
+            const next = nonScoringTurn({
+              current,
+              newEvidence: evidence,
+              domain: command.domain,
+              directionChange: false,
+              correctionReset: { packet: computed.packet, reason: resetReason },
+            });
+            const privateCandidate = privateCandidateFromPacket({
+              packet: computed.packet,
+              resultId: null,
+              iteration: (current.privateCandidate.workingState?.iteration ?? 0) + 1,
+              forceCollecting: true,
+            });
+            const saved = await ports.store.saveTurn({
+              userId,
+              caseId: command.caseId,
+              expectedVersion: command.turnVersion,
+              actionId: command.actionId,
+              commandFingerprint: fingerprint,
+              turn: next.turn,
+              evidence,
+              validationReceipt: next.receipt,
+              privateCandidate,
+            });
+            return publicTurn(saved);
+          }
+
+          const phase = computed.packet.candidate.status === "ready_for_confirmation"
+            ? "final" as const
+            : "intermediate" as const;
+          const narrative = await generateRectificationNarrative({
+            phase,
+            packet: computed.packet,
+            generator: ports.narrativeGenerator,
           });
+          if (!narrative.allowEvidenceScoringAdvance) {
+            const next = nonScoringTurn({
+              current,
+              newEvidence: evidence,
+              domain: command.domain,
+              directionChange: false,
+              correctionReset: {
+                packet: computed.packet,
+                reason: "validation_fallback",
+              },
+            });
+            const privateCandidate = privateCandidateFromPacket({
+              packet: computed.packet,
+              resultId: null,
+              iteration: (current.privateCandidate.workingState?.iteration ?? 0) + 1,
+              forceCollecting: true,
+            });
+            const saved = await ports.store.saveTurn({
+              userId,
+              caseId: command.caseId,
+              expectedVersion: command.turnVersion,
+              actionId: command.actionId,
+              commandFingerprint: fingerprint,
+              turn: next.turn,
+              evidence,
+              validationReceipt: narrative.validationReceipt,
+              privateCandidate,
+            });
+            return publicTurn(saved);
+          }
+
           const privateCandidate = privateCandidateFromPacket({
             packet: computed.packet,
-            resultId: null,
+            resultId: computed.resultId,
             iteration: (current.privateCandidate.workingState?.iteration ?? 0) + 1,
-            forceCollecting: true,
+          });
+          const turn = turnFromNarrative({
+            caseId: command.caseId,
+            turnVersion: command.turnVersion + 1,
+            pendingConsultationQuestion: current.pendingConsultationQuestion,
+            packet: computed.packet,
+            narrative,
+            evidence: [...current.eventEvidence, ...evidence],
           });
           const saved = await ports.store.saveTurn({
             userId,
@@ -679,9 +774,9 @@ export function createConversationalRectificationService(
             expectedVersion: command.turnVersion,
             actionId: command.actionId,
             commandFingerprint: fingerprint,
-            turn: next.turn,
+            turn,
             evidence,
-            validationReceipt: next.receipt,
+            validationReceipt: narrative.validationReceipt,
             privateCandidate,
           });
           return publicTurn(saved);
@@ -715,10 +810,6 @@ export function createConversationalRectificationService(
       }
 
       try {
-        const allScoreable = effectiveLifeEventEvidence([...current.eventEvidence, ...evidence])
-          .filter((item) => item.scoreable === true
-            && item.extractionStatus !== "needs_clarification"
-            && !evidencePredatesBirthDate(item, current.declaredBirthInput.birthDate));
         const computed = await ports.buildTechnicalPacket({
           userId,
           caseId: command.caseId,
diff --git a/frontend/supabase/migrations/20260720030000_conversational_rectification_transitions.sql b/frontend/supabase/migrations/20260720030000_conversational_rectification_transitions.sql
index ccdc79f8..4fd990f3 100644
--- a/frontend/supabase/migrations/20260720030000_conversational_rectification_transitions.sql
+++ b/frontend/supabase/migrations/20260720030000_conversational_rectification_transitions.sql
@@ -640,7 +640,22 @@ begin
     raise exception 'conversational_action_conflict' using errcode = 'P0001';
   end if;
   -- Correction targets are account-case evidence tips. Under the locked case version,
-  -- reject missing, cross-case, or already-retired targets before writing a turn.
+  -- reject one-to-many replacement attempts, missing/cross-case targets, or
+  -- already-retired targets before writing a turn.
+  if exists (
+    select 1
+    from (
+      select correction.value::uuid as target_id
+      from pg_catalog.jsonb_array_elements(p_evidence) item(value)
+      cross join lateral pg_catalog.jsonb_array_elements_text(
+        coalesce(item.value -> 'correctsEvidenceIds', '[]'::jsonb)
+      ) correction(value)
+      group by correction.value::uuid
+      having pg_catalog.count(*) > 1
+    ) duplicate_correction_target
+  ) then
+    raise exception 'conversational_action_conflict' using errcode = 'P0001';
+  end if;
   if exists (
     select 1
     from pg_catalog.jsonb_array_elements(p_evidence) item(value)
diff --git a/frontend/tests/conversational-rectification-component.test.ts b/frontend/tests/conversational-rectification-component.test.ts
index 51528a9f..c7974555 100644
--- a/frontend/tests/conversational-rectification-component.test.ts
+++ b/frontend/tests/conversational-rectification-component.test.ts
@@ -143,6 +143,7 @@ test("correction mode identifies its durable target, can be cancelled, and marks
 
   assert.match(markup, /正在更正/);
   assert.match(markup, /开始第一份长期工作/);
+  assert.match(markup, /一次只更正一条事件/);
   assert.match(markup, /取消更正/);
   assert.match(markup, /已修订/);
 });
diff --git a/frontend/tests/conversational-rectification-orchestrator.test.ts b/frontend/tests/conversational-rectification-orchestrator.test.ts
index b1e47e03..c553ad51 100644
--- a/frontend/tests/conversational-rectification-orchestrator.test.ts
+++ b/frontend/tests/conversational-rectification-orchestrator.test.ts
@@ -95,13 +95,21 @@ function packet(ready = false): RectificationTechnicalPacket {
   };
 }
 
-function validGenerator(events: string[], varyNarrative = false) {
+function validGenerator(
+  events: string[],
+  varyNarrative = false,
+  invalidNarrativeFromGeneration?: number,
+) {
   let generation = 0;
   return {
     modelId: "synthetic-rectification-model",
     async generate(prompt: string) {
       generation += 1;
       events.push("narrative");
+      if (invalidNarrativeFromGeneration !== undefined
+        && generation >= invalidNarrativeFromGeneration) {
+        return { text: "not a grounded narrative result" };
+      }
       const request = JSON.parse(prompt) as {
         phase: "first" | "intermediate" | "final";
         packet: Omit<ReturnType<typeof packet>, "candidate"> & {
@@ -153,6 +161,7 @@ function harness(options: {
   readonly releaseFailure?: boolean;
   readonly readyAfterEvidenceCount?: number;
   readonly varyNarrative?: boolean;
+  readonly invalidNarrativeFromGeneration?: number;
 } = {}) {
   const events: string[] = [];
   const mutations: string[] = [];
@@ -165,6 +174,12 @@ function harness(options: {
     commandFingerprint?: string;
   }>();
   const packetEvidenceCounts: number[] = [];
+  const packetEvidenceIds: string[][] = [];
+  const packetPrivateCandidates: Array<Readonly<{
+    rangeStart?: string | null;
+    rangeEnd?: string | null;
+    resultId?: string | null;
+  }> | null> = [];
   let packetBuilds = 0;
   let reserveCount = 0;
   let releaseCount = 0;
@@ -358,13 +373,25 @@ function harness(options: {
     async buildTechnicalPacket(input) {
       packetBuilds += 1;
       packetEvidenceCounts.push(input.evidence.length);
+      packetEvidenceIds.push(input.evidence.map((item) => item.id));
+      packetPrivateCandidates.push(input.privateCandidate
+        ? {
+            rangeStart: input.privateCandidate.rangeStart,
+            rangeEnd: input.privateCandidate.rangeEnd,
+            resultId: input.privateCandidate.resultId,
+          }
+        : null);
       events.push(input.evidence.length > 0 ? "score-packet" : "packet");
       if (options.packetFailure) throw options.packetFailure;
       return input.evidence.length >= (options.readyAfterEvidenceCount ?? 1)
         ? { packet: packet(true), resultId }
         : { packet: packet(false), resultId: null };
     },
-    narrativeGenerator: validGenerator(events, options.varyNarrative),
+    narrativeGenerator: validGenerator(
+      events,
+      options.varyNarrative,
+      options.invalidNarrativeFromGeneration,
+    ),
     asOfDate: () => "2026-07-21",
   };
 
@@ -372,6 +399,8 @@ function harness(options: {
     events,
     mutations,
     packetEvidenceCounts,
+    packetEvidenceIds,
+    packetPrivateCandidates,
     cases,
     service: createConversationalRectificationService(ports),
     counts: () => ({ packetBuilds, reserveCount, releaseCount }),
@@ -583,6 +612,148 @@ test("an unclear correction immediately retires the wrong fact and stays retired
   assert.equal(later.evidenceRecap.some((item) => item.id === unclear?.id), true);
 });
 
+test("every non-confirmable correction rescans the declared range and withdraws the old candidate", async () => {
+  const scenarios = [
+    { name: "unclear", answer: "更正：具体年月记不清" },
+    { name: "future", answer: "更正：2099年3月开始新工作" },
+    { name: "direction change", answer: "更正：这些都不符合" },
+    {
+      name: "narrative validation fallback",
+      answer: "更正：其实是2020年11月离职",
+      invalidNarrativeFromGeneration: 3,
+    },
+  ] as const;
+
+  for (const scenario of scenarios) {
+    const invalidNarrativeFromGeneration = "invalidNarrativeFromGeneration" in scenario
+      ? scenario.invalidNarrativeFromGeneration
+      : undefined;
+    const value = harness({
+      ...(invalidNarrativeFromGeneration === undefined
+        ? {}
+        : { invalidNarrativeFromGeneration }),
+    });
+    await start(value, null);
+    const prior = await value.service.answer(userId, {
+      type: "answer",
+      caseId: startActionId,
+      actionId: answerActionId,
+      turnVersion: 0,
+      answer: "2019年7月开始第一份工作",
+    });
+    assert.equal(prior.status, "confirming", scenario.name);
+    const wrongId = value.cases.get(startActionId)?.row.eventEvidence[0]?.id;
+    assert.ok(wrongId, scenario.name);
+    const buildsBeforeCorrection = value.counts().packetBuilds;
+
+    const corrected = await value.service.answer(userId, {
+      type: "answer",
+      caseId: startActionId,
+      actionId: secondAnswerActionId,
+      turnVersion: 1,
+      answer: scenario.answer,
+      correctsEvidenceId: wrongId,
+    });
+
+    const stored = value.cases.get(startActionId)?.row;
+    const replacement = stored?.eventEvidence.at(-1);
+    assert.ok(stored && replacement, scenario.name);
+    assert.equal(value.counts().packetBuilds, buildsBeforeCorrection + 1, scenario.name);
+    assert.equal(value.packetPrivateCandidates.at(-1), null, scenario.name);
+    assert.equal(value.packetEvidenceIds.at(-1)?.includes(wrongId), false, scenario.name);
+    assert.equal(corrected.status, "active", scenario.name);
+    assert.equal(corrected.candidate.status, "pending_validation", scenario.name);
+    assert.equal(corrected.actions.includes("confirm"), false, scenario.name);
+    assert.equal(stored.privateCandidate.resultId ?? null, null, scenario.name);
+    assert.equal(stored.privateCandidate.workingState?.phase, "collecting_evidence", scenario.name);
+    assert.equal(corrected.evidenceRecap.some((item) => item.id === wrongId), false, scenario.name);
+    assert.equal(corrected.evidenceRecap.some((item) => item.id === replacement.id), true, scenario.name);
+    assert.equal(value.counts().reserveCount, 1, scenario.name);
+
+    if (scenario.name === "narrative validation fallback") {
+      assert.deepEqual(value.packetEvidenceIds.at(-1), [replacement.id]);
+    } else {
+      assert.deepEqual(value.packetEvidenceIds.at(-1), []);
+    }
+  }
+});
+
+test("a clear one-to-one correction can form a new confirmation candidate only after a declared-range rescan", async () => {
+  const value = harness();
+  await start(value, null);
+  await value.service.answer(userId, {
+    type: "answer", caseId: startActionId, actionId: answerActionId,
+    turnVersion: 0, answer: "2019年7月开始第一份工作",
+  });
+  const wrongId = value.cases.get(startActionId)?.row.eventEvidence[0]?.id;
+  assert.ok(wrongId);
+
+  const corrected = await value.service.answer(userId, {
+    type: "answer", caseId: startActionId, actionId: secondAnswerActionId,
+    turnVersion: 1, answer: "更正：其实是2020年11月离职",
+    correctsEvidenceId: wrongId,
+  });
+  const stored = value.cases.get(startActionId)?.row;
+  const replacementId = stored?.eventEvidence.at(-1)?.id;
+  assert.ok(stored && replacementId);
+
+  assert.equal(value.packetPrivateCandidates.at(-1), null);
+  assert.deepEqual(value.packetEvidenceIds.at(-1), [replacementId]);
+  assert.equal(corrected.status, "confirming");
+  assert.equal(corrected.candidate.status, "ready_for_confirmation");
+  assert.equal(corrected.actions.includes("confirm"), true);
+  assert.equal(stored.privateCandidate.resultId, resultId);
+});
+
+test("a targeted correction must extract exactly one replacement before scoring or persistence", async () => {
+  const value = harness({ readyAfterEvidenceCount: 99 });
+  await start(value, null);
+  await value.service.answer(userId, {
+    type: "answer", caseId: startActionId, actionId: answerActionId,
+    turnVersion: 0, answer: "2019年7月开始第一份工作",
+  });
+  const wrongId = value.cases.get(startActionId)?.row.eventEvidence[0]?.id;
+  assert.ok(wrongId);
+  const before = {
+    builds: value.counts().packetBuilds,
+    mutations: [...value.mutations],
+    version: value.cases.get(startActionId)?.row.turnVersion,
+    evidenceCount: value.cases.get(startActionId)?.row.eventEvidence.length,
+  };
+
+  await assert.rejects(value.service.answer(userId, {
+    type: "answer", caseId: startActionId, actionId: secondAnswerActionId,
+    turnVersion: 1,
+    answer: "更正：2020年11月离职，并在2021年2月入职",
+    correctsEvidenceId: wrongId,
+  }), (error: unknown) => error instanceof ConversationalRectificationError
+    && error.code === "invalid_command");
+
+  assert.equal(value.counts().packetBuilds, before.builds);
+  assert.deepEqual(value.mutations, before.mutations);
+  assert.equal(value.cases.get(startActionId)?.row.turnVersion, before.version);
+  assert.equal(value.cases.get(startActionId)?.row.eventEvidence.length, before.evidenceCount);
+});
+
+test("ordinary new evidence continues incrementally from the current candidate range", async () => {
+  const value = harness();
+  await start(value, null);
+  await value.service.answer(userId, {
+    type: "answer", caseId: startActionId, actionId: answerActionId,
+    turnVersion: 0, answer: "2019年7月开始第一份工作",
+  });
+  await value.service.answer(userId, {
+    type: "answer", caseId: startActionId, actionId: secondAnswerActionId,
+    turnVersion: 1, answer: "2020年11月搬家",
+  });
+
+  assert.deepEqual(value.packetPrivateCandidates, [
+    null,
+    { rangeStart: "04:50", rangeEnd: "05:50", resultId: null },
+    { rangeStart: "05:16", rangeEnd: "05:20", resultId },
+  ]);
+});
+
 test("missing or already-retired correction targets fail closed without advancing or persisting", async () => {
   const value = harness({ readyAfterEvidenceCount: 99 });
   await start(value, null);
diff --git a/frontend/tests/conversational-rectification-route.test.ts b/frontend/tests/conversational-rectification-route.test.ts
index f607aa35..c8f86699 100644
--- a/frontend/tests/conversational-rectification-route.test.ts
+++ b/frontend/tests/conversational-rectification-route.test.ts
@@ -9,7 +9,7 @@ import {
 import { ConversationalRectificationError } from "../src/lib/conversational-rectification/errors.ts";
 import type { BirthTimeJourneyEngine } from "../src/lib/birth-time-journey-service.ts";
 import type { LifeEventEvidence } from "../src/lib/conversational-rectification/persistence-contracts.ts";
-import type { LifeEvent } from "../src/lib/birth-time-evidence.ts";
+import type { CandidateResult, LifeEvent } from "../src/lib/birth-time-evidence.ts";
 
 const userId = "00000000-0000-4000-8000-000000000711";
 const actionId = "00000000-0000-4000-8000-000000000712";
@@ -88,7 +88,10 @@ function syntheticEvidence(
 function packetEngine(options: {
   readonly scoreCalls?: LifeEvent[][];
   readonly scanTimes?: readonly string[];
+  readonly scanCalls?: Array<{ readonly birthTime: string; readonly uncertaintyMinutes: number }>;
+  readonly scoreResults?: readonly CandidateResult[];
 } = {}): BirthTimeJourneyEngine {
+  let scoreResultIndex = 0;
   const minute = (value: string) => {
     const [hour = 0, part = 0] = value.slice(-5).split(":").map(Number);
     return hour * 60 + part;
@@ -99,6 +102,10 @@ function packetEngine(options: {
   };
   return {
     async scan(input) {
+      options.scanCalls?.push({
+        birthTime: input.birthTime,
+        uncertaintyMinutes: input.uncertaintyMinutes,
+      });
       const center = minute(input.birthTime);
       const times = options.scanTimes ?? [
         clock(center - input.uncertaintyMinutes),
@@ -136,6 +143,9 @@ function packetEngine(options: {
         assert.ok(event.date >= birthBoundary, "synthetic scorer rejected pre-birth evidence");
       }
       options.scoreCalls?.push([...input.events]);
+      const configured = options.scoreResults?.[scoreResultIndex];
+      scoreResultIndex += 1;
+      if (configured) return configured;
       return {
         resultId: "00000000-0000-4000-8000-000000000899",
         confidence: "low",
@@ -476,6 +486,107 @@ test("production packet waits for three supported events and then scores the acc
   assert.deepEqual(scoreCalls[0]?.map((event) => event.id), evidence.map((item) => item.id));
 });
 
+test("production rescans the declared range after correction while ordinary evidence stays incremental", async () => {
+  const scanCalls: Array<{ readonly birthTime: string; readonly uncertaintyMinutes: number }> = [];
+  const narrowResult: CandidateResult = {
+    resultId: "00000000-0000-4000-8000-000000001301",
+    confidence: "low",
+    canApply: false,
+    winningSegment: {
+      startTime: "05:16",
+      endTime: "05:20",
+      representativeTime: "05:18",
+      widthMinutes: 5,
+    },
+    eventCount: 3,
+    domainCount: 3,
+    topScore: 4,
+    secondScore: 3,
+    marginPercent: 10,
+    reasons: ["synthetic narrowed range"],
+    evidence: [],
+    algorithmVersion: "synthetic-event-score-v1",
+  };
+  const broadResult: CandidateResult = {
+    ...narrowResult,
+    resultId: "00000000-0000-4000-8000-000000001302",
+    winningSegment: null,
+    reasons: ["synthetic evidence no longer narrows the range"],
+  };
+  const engine = packetEngine({
+    scanCalls,
+    scoreResults: [narrowResult, broadResult, broadResult],
+  });
+  const declaredBirthInput = {
+    source: "approximate" as const,
+    birthDate: "1990-01-01",
+    reportedTime: "05:20",
+    uncertaintyBeforeMinutes: 30 as const,
+    uncertaintyAfterMinutes: 30 as const,
+    birthTimeClue: null,
+    birthplace: packetBirthplace,
+  };
+  const oldEvidence = [
+    syntheticEvidence(41, "education"),
+    syntheticEvidence(42, "relocation"),
+    syntheticEvidence(43, "career"),
+  ];
+
+  const narrowed = await buildProductionConversationalRectificationPacket(engine, {
+    userId,
+    caseId,
+    asOfDate: "2026-07-21",
+    declaredBirthInput,
+    privateCandidate: null,
+    evidence: oldEvidence,
+  });
+  assert.deepEqual(narrowed.packet.candidate.range, { startTime: "05:16", endTime: "05:20" });
+  assert.deepEqual(scanCalls.at(-1), {
+    birthTime: "1990-01-01 05:18",
+    uncertaintyMinutes: 2,
+  });
+
+  const currentCandidate = {
+    calculationVersion: narrowed.packet.calculationVersion,
+    rangeStart: narrowed.packet.candidate.range.startTime,
+    rangeEnd: narrowed.packet.candidate.range.endTime,
+    representativeTime: narrowed.packet.candidate.representativeTime,
+  };
+  const ordinary = await buildProductionConversationalRectificationPacket(engine, {
+    userId,
+    caseId,
+    asOfDate: "2026-07-21",
+    declaredBirthInput,
+    privateCandidate: currentCandidate,
+    evidence: [...oldEvidence, syntheticEvidence(44, "relationship")],
+  });
+  assert.deepEqual(ordinary.packet.candidate.range, { startTime: "05:16", endTime: "05:20" });
+  assert.deepEqual(scanCalls.at(-1), {
+    birthTime: "1990-01-01 05:18",
+    uncertaintyMinutes: 2,
+  });
+
+  const corrected = await buildProductionConversationalRectificationPacket(engine, {
+    userId,
+    caseId,
+    asOfDate: "2026-07-21",
+    declaredBirthInput,
+    privateCandidate: null,
+    evidence: [
+      syntheticEvidence(45, "education"),
+      syntheticEvidence(46, "relocation"),
+      syntheticEvidence(47, "career"),
+    ],
+  });
+  assert.deepEqual(corrected.packet.candidate.range, { startTime: "04:50", endTime: "05:50" });
+  assert.deepEqual(scanCalls.at(-1), {
+    birthTime: "1990-01-01 05:20",
+    uncertaintyMinutes: 30,
+  });
+  assert.ok(corrected.packet.sensitivityScope.sampleTimes.includes("04:50"));
+  assert.equal(ordinary.packet.sensitivityScope.sampleTimes.includes("04:50"), false);
+});
+
 test("production packet deterministically sends only the latest six supported events", async () => {
   const scoreCalls: LifeEvent[][] = [];
   const engine = packetEngine({ scoreCalls });
diff --git a/tests/test_conversational_rectification_contract.py b/tests/test_conversational_rectification_contract.py
index fee510fc..fd5592b6 100644
--- a/tests/test_conversational_rectification_contract.py
+++ b/tests/test_conversational_rectification_contract.py
@@ -511,6 +511,10 @@ def test_evidence_correction_lineage_is_bounded_projected_and_validated_atomical
         "insert into public.birth_time_rectification_event_evidence"
     )
     assert "where evidence.case_id = p_case_id" in save
+    assert "group by correction.value::uuid having pg_catalog.count(*) > 1" in save
+    assert save.index("group by correction.value::uuid having pg_catalog.count(*) > 1") < save.index(
+        "insert into public.birth_time_rectification_turns"
+    )
 
 
 def test_case_mutations_enforce_cumulative_load_limits_under_the_case_lock() -> None:
diff --git a/tests/test_conversational_rectification_postgres_runtime.py b/tests/test_conversational_rectification_postgres_runtime.py
index f71d03aa..afcb3878 100644
--- a/tests/test_conversational_rectification_postgres_runtime.py
+++ b/tests/test_conversational_rectification_postgres_runtime.py
@@ -1156,6 +1156,163 @@ def test_correction_lineage_is_append_only_owner_scoped_and_rejects_retired_targ
     }]
 
 
+def test_duplicate_correction_target_fails_atomically_without_advancing_any_durable_state(
+    pg14_database: PgDatabase,
+) -> None:
+    user_id = "00000000-0000-4000-8000-000000001401"
+    case_id = "00000000-0000-4000-8000-000000001402"
+    first_action = "00000000-0000-4000-8000-000000001403"
+    rejected_action = "00000000-0000-4000-8000-000000001404"
+    first_id = "aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaa1411"
+    replacement_a = "00000000-0000-4000-8000-000000001412"
+    replacement_b = "00000000-0000-4000-8000-000000001413"
+    _create_user(pg14_database, user_id)
+    _reserve(pg14_database, user_id, case_id)
+    _create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
+    _complete(pg14_database, user_id, case_id)
+    first = {
+        "id": first_id,
+        "rawText": "2019 年 7 月开始第一份工作",
+        "domain": "career",
+        "eventSummary": "开始第一份工作",
+        "dateValue": "2019-07",
+        "datePrecision": "month",
+        "extractionStatus": "clear",
+        "scoreable": True,
+    }
+    pg14_database.sql(_save_statement(user_id, case_id, 0, first_action, [first]))
+
+    def durable_counts() -> dict[str, int]:
+        return json.loads(pg14_database.sql(
+            f"""
+            select pg_catalog.jsonb_build_object(
+              'version', rectification.turn_version,
+              'turns', (select pg_catalog.count(*) from public.birth_time_rectification_turns turn where turn.case_id = rectification.id),
+              'evidence', (select pg_catalog.count(*) from public.birth_time_rectification_event_evidence evidence where evidence.case_id = rectification.id),
+              'receipts', (select pg_catalog.count(*) from public.birth_time_rectification_action_receipts receipt where receipt.case_id = rectification.id)
+            )::text
+            from public.birth_time_rectification_cases rectification
+            where rectification.id = '{case_id}'::uuid;
+            """
+        ))
+
+    before = durable_counts()
+    duplicate_replacements = [
+        {
+            "id": replacement_a,
+            "rawText": "更正：2020 年 11 月离职",
+            "domain": "career",
+            "eventSummary": "离职",
+            "dateValue": "2020-11",
+            "datePrecision": "month",
+            "extractionStatus": "corrected",
+            "scoreable": True,
+            "correctsEvidenceIds": [first_id.upper()],
+        },
+        {
+            "id": replacement_b,
+            "rawText": "更正：2021 年 2 月入职",
+            "domain": "career",
+            "eventSummary": "入职",
+            "dateValue": "2021-02",
+            "datePrecision": "month",
+            "extractionStatus": "corrected",
+            "scoreable": True,
+            "correctsEvidenceIds": [first_id],
+        },
+    ]
+    assert pg14_database.rejects(_save_statement(
+        user_id,
+        case_id,
+        1,
+        rejected_action,
+        duplicate_replacements,
+    ))
+    assert durable_counts() == before
+
+
+def test_concurrent_corrections_of_one_tip_leave_exactly_one_winner(
+    pg14_database: PgDatabase,
+) -> None:
+    user_id = "00000000-0000-4000-8000-000000001421"
+    case_id = "00000000-0000-4000-8000-000000001422"
+    first_action = "00000000-0000-4000-8000-000000001423"
+    action_a = "00000000-0000-4000-8000-000000001424"
+    action_b = "00000000-0000-4000-8000-000000001425"
+    first_id = "00000000-0000-4000-8000-000000001431"
+    replacement_a = "00000000-0000-4000-8000-000000001432"
+    replacement_b = "00000000-0000-4000-8000-000000001433"
+    _create_user(pg14_database, user_id)
+    _reserve(pg14_database, user_id, case_id)
+    _create_case(pg14_database, user_id, case_id, _valid_declared_birth_input())
+    _complete(pg14_database, user_id, case_id)
+    first = {
+        "id": first_id,
+        "rawText": "2019 年 7 月开始第一份工作",
+        "domain": "career",
+        "eventSummary": "开始第一份工作",
+        "dateValue": "2019-07",
+        "datePrecision": "month",
+        "extractionStatus": "clear",
+        "scoreable": True,
+    }
+    pg14_database.sql(_save_statement(user_id, case_id, 0, first_action, [first]))
+
+    statements = []
+    for action_id, evidence_id, date_value, summary in (
+        (action_a, replacement_a, "2020-11", "离职"),
+        (action_b, replacement_b, "2021-02", "入职"),
+    ):
+        replacement = {
+            "id": evidence_id,
+            "rawText": f"更正：{date_value} {summary}",
+            "domain": "career",
+            "eventSummary": summary,
+            "dateValue": date_value,
+            "datePrecision": "month",
+            "extractionStatus": "corrected",
+            "scoreable": True,
+            "correctsEvidenceIds": [first_id],
+        }
+        statements.append(_save_statement(
+            user_id,
+            case_id,
+            1,
+            action_id,
+            [replacement],
+        ))
+
+    processes = [subprocess.Popen(
+        pg14_database.command("-A", "-t", "-q", "-c", statement),
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True,
+    ) for statement in statements]
+    results = [process.communicate(timeout=20) for process in processes]
+    return_codes = [process.returncode for process in processes]
+    assert return_codes.count(0) == 1, results
+    assert sum(code != 0 for code in return_codes) == 1, results
+
+    durable = json.loads(pg14_database.sql(
+        f"""
+        select pg_catalog.jsonb_build_object(
+          'version', rectification.turn_version,
+          'turns', (select pg_catalog.count(*) from public.birth_time_rectification_turns turn where turn.case_id = rectification.id),
+          'evidence', (select pg_catalog.count(*) from public.birth_time_rectification_event_evidence evidence where evidence.case_id = rectification.id),
+          'winningReceipts', (select pg_catalog.count(*) from public.birth_time_rectification_action_receipts receipt where receipt.case_id = rectification.id and receipt.action_id in ('{action_a}'::uuid, '{action_b}'::uuid))
+        )::text
+        from public.birth_time_rectification_cases rectification
+        where rectification.id = '{case_id}'::uuid;
+        """
+    ))
+    assert durable == {
+        "version": 2,
+        "turns": 3,
+        "evidence": 2,
+        "winningReceipts": 1,
+    }
+
+
 def test_save_rejects_cumulative_evidence_count_before_inserting(
     pg14_database: PgDatabase,
 ) -> None: