fix(rectification): reject synthetic stale probes

frontend/src/components/rectification-choice-card.tsx

@@ -42,7 +42,7 @@ export function RectificationChoiceCard(props: RectificationChoiceCardProps) {
       aria-label={props.card.scoring ? "校正判断" : "盘外核对"}
     >
       <fieldset className="birth-time-choice-question" disabled={props.pending || props.disabled || Boolean(selectedKey)}>
-        <legend>{props.card.prompt}</legend>
+        <legend className="sr-only">{props.card.prompt}</legend>
         {props.card.why ? <p className="rectification-choice-why">{props.card.why}</p> : null}
         <div className="birth-time-primary-choices">
           {primary.map((option, index) => (

frontend/src/lib/rectification-agentic/v9/inference-adapter.ts

@@ -255,6 +255,13 @@ export function stampChoiceSchemaWithProbe(
     probe_id: preferredId,
   })) ?? null;
   if (preferredKey && !matched) {
+    if (state) {
+      const unstamped = { ...schema };
+      delete unstamped.probe_id;
+      delete unstamped.semantic_key;
+      delete unstamped.candidate_split_hash;
+      return { ...unstamped, scoring };
+    }
     return {
       ...schema,
       probe_id: preferredId ?? `probe:${preferredKey}`,

frontend/src/lib/rectification-agentic/v9/method-followup.ts

@@ -337,49 +337,6 @@ function remainingReverseVerifyProbes(
   return [...dasha, ...fallback].slice(0, MAX_REVERSE_VERIFY);
 }
 
-const QUALITY_ENCODED_RE = /失利|失常|复读|没考好|考砸|发挥不好|发挥失常|发挥异常|压力很大/;
-
-function qualityAlreadyEncoded(
-  evidence: readonly MethodFollowupEvidence[],
-  domain: string,
-  year: number,
-): boolean {
-  const nearby = existenceNearbyYears(domain);
-  return evidence.some((item) => {
-    if (item.status !== "confirmed" && item.status !== "draft" && item.status !== "pending_confirmation") {
-      return false;
-    }
-    if (item.domain !== domain) return false;
-    const itemYear = evidenceYear(item);
-    if (itemYear === null) return false;
-    if (Math.abs(itemYear - year) > nearby) return false;
-    return QUALITY_ENCODED_RE.test(item.summary ?? "");
-  });
-}
-
-function remainingQualityProbes(
-  probes: readonly DiscriminatingEventProbe[] | undefined,
-  evidence: readonly MethodFollowupEvidence[],
-  declined: ReadonlySet<string>,
-  askedKeys: ReadonlySet<string> = new Set(),
-): DiscriminatingEventProbe[] {
-  const rows: DiscriminatingEventProbe[] = [];
-  for (const probe of probes ?? []) {
-    if (probe.source !== "known_event_quality") continue;
-    if (probe.domain !== "education") continue;
-    if (declined.has(probe.domain)) continue;
-    if (!probeYearAlreadyCovered(evidence, probe.domain, probe.year)) continue;
-    if (qualityAlreadyEncoded(evidence, probe.domain, probe.year)) continue;
-    const semantic = probe.semantic_key ?? `${probe.domain}.${probe.year}`;
-    const split = probe.candidate_split_hash ?? "";
-    if (askedKeys.has(semantic) || (split && askedKeys.has(split))) continue;
-    rows.push(probe);
-  }
-  return rows
-    .sort((left, right) => (right.information_gain ?? 0) - (left.information_gain ?? 0))
-    .slice(0, MAX_REVERSE_VERIFY);
-}
-
 function remainingConflictProbes(
   probes: readonly DiscriminatingEventProbe[] | undefined,
   evidence: readonly MethodFollowupEvidence[],
@@ -767,7 +724,9 @@ export function buildMethodFollowupPlan(input: {
   const sessionOutcome = input.sessionOutcome ?? "collect_evidence";
   const candidatesSeparated = input.candidatesSeparated === true;
   const contrastProbe = selectDiscriminatorProbe(input.contrastPacket ?? null);
-  const focus = input.activeFocus ?? null;
+  // Legacy known-event quality cards were never backed by an inference probe.
+  // Ignore them so existing cases resume evidence collection instead of exposing a stale card.
+  const focus = input.activeFocus?.intent === "clarify_event" ? null : input.activeFocus ?? null;
   const keepAcceptedFocus = Boolean(
     focus && (focus.intent === "reverse_verify" || focus.intent === "out_of_sample_check"),
   );
@@ -907,14 +866,6 @@ export function buildMethodFollowupPlan(input: {
     ...(input.askedProbeKeys ?? []),
     ...askedKeysFromLedgerEvidence(input.evidence),
   ]);
-  const qualityProbe = dashaCovered
-    ? remainingQualityProbes(
-      input.eventClarificationProbes ?? input.eventProbes,
-      input.evidence,
-      declined,
-      askedKeys,
-    )[0] ?? null
-    : null;
   const conflictProbe = dashaCovered && meetsAcceptanceEventQuality(input.evidence)
     ? remainingConflictProbes(input.eventProbes, input.evidence, declined, askedKeys)[0] ?? null
     : null;
@@ -932,25 +883,6 @@ export function buildMethodFollowupPlan(input: {
       ),
       source: "method_coverage",
     });
-  } else if (qualityProbe) {
-    next = makeFollowup({
-      method_id: PROBE_METHOD_ID[qualityProbe.domain],
-      intent: "clarify_event",
-      ask_theme: REVERSE_VERIFY_THEME[qualityProbe.domain],
-      domain: qualityProbe.domain,
-      kind_hint: REVERSE_VERIFY_KIND[qualityProbe.domain],
-      user_prompt_hint: ask(
-        `已记下 ${qualityProbe.year_label} 的经历。按 choice_frame 问那次是否${qualityProbe.event_family}。对得上写入账本并重算；对不上关闭该问。不要发明年份。`,
-        REVERSE_VERIFY_VARGA[qualityProbe.domain],
-      ),
-      source: "event_probe",
-      information_gain: qualityProbe.information_gain ?? 0,
-      semantic_key: qualityProbe.semantic_key ?? `${qualityProbe.domain}.${qualityProbe.year}`,
-      candidate_split_hash: qualityProbe.candidate_split_hash,
-      probe_year: qualityProbe.year,
-      choice_kind: qualityProbe.choice_kind ?? "event_quality",
-      style_options: qualityProbe.style_options,
-    }, true, true);
   } else if (conflictProbe && (!coverageComplete || !candidatesSeparated || (conflictProbe.information_gain ?? 0) >= 0.08)) {
     next = makeFollowup({
       method_id: PROBE_METHOD_ID[conflictProbe.domain],

frontend/src/lib/rectification-agentic/v9/server-focus.ts

@@ -47,14 +47,12 @@ function schemaProbeId(schema: Readonly<Record<string, unknown>> | null | undefi
 export function shouldSkipDiscriminatorFollowup(followup: MethodFollowup): PersistServerFocusStatus | null {
   if (
     followup.source === "event_probe"
-    && followup.choice_kind !== "event_quality"
     && (followup.information_gain ?? 0) <= 0
   ) {
     return "zero_information_gain";
   }
   if (
     followup.intent === "distinguish_candidates"
-    && followup.choice_kind !== "event_quality"
     && ((followup.candidate_ids?.length ?? 0) < 2 || (followup.expected_outcomes?.length ?? 0) < 2)
   ) {
     return "zero_information_gain";
@@ -82,15 +80,17 @@ function expectedAnswerSchemaFor(
     candidate_split_hash: followup.candidate_split_hash ?? null,
     choice_kind: frame.choice_kind ?? followup.choice_kind ?? "existence",
   };
-  return stampChoiceSchemaWithProbe(
+  const state = previousInferenceFromReceipt(decisionReceipt ?? null);
+  const stamped = stampChoiceSchemaWithProbe(
     schema,
-    previousInferenceFromReceipt(decisionReceipt ?? null),
+    state,
     questionId,
     {
       semantic_key: followup.semantic_key,
       candidate_split_hash: followup.candidate_split_hash,
     },
   );
+  return state && stamped.scoring !== false && !schemaProbeId(stamped) ? null : stamped;
 }
 
 export function openQuestionFromPersistedFocus(result: PersistServerFocusResult): {