fix(rectification): separate adjacent minutes with transition proximity

Day-level events now score Vimshottari/Narayana transition closeness so
nearby candidate minutes can diverge, with gated quality probes and
answer-prior ranking so high-base-rate existence questions stay out.

Co-authored-by: Cursor <cursoragent@cursor.com>

frontend/src/lib/rectification-agentic/core/candidate-contrast-packet.ts

@@ -103,6 +103,7 @@ export type EngineContrastProbe = Readonly<{
     answer_class?: string;
     sign?: string;
   }>[];
+  target_evidence_id?: string;
 }>;
 
 const REMAINING_LAYERS = ["d24", "d5", "d10", "d9", "d4", "d7", "d12", "d2", "d11", "d30"] as const;

frontend/src/lib/rectification-agentic/core/snapshot-source.ts

@@ -16,6 +16,7 @@ export type SnapshotStaleReason =
   | "scoreable_evidence_changed"
   | "candidate_set_superseded"
   | "inference_revision_changed"
+  | "scoring_policy_changed"
   | "fingerprint_missing";
 
 export const SNAPSHOT_STALE_COPY: Readonly<Record<SnapshotStaleReason, string>> = {
@@ -23,6 +24,7 @@ export const SNAPSHOT_STALE_COPY: Readonly<Record<SnapshotStaleReason, string>>
   scoreable_evidence_changed: "可评分证据已变化，请重新比较候选",
   candidate_set_superseded: "已有更新的候选结果",
   inference_revision_changed: "候选后验已更新，请使用当前结果",
+  scoring_policy_changed: "评分政策已更新，请重新比较候选",
   fingerprint_missing: "候选快照缺少证据指纹，请重新比较候选",
 };
 
@@ -50,6 +52,13 @@ export function classifySnapshotStaleReason(
   if (snapshot.inferenceRevision !== current.inferenceRevision) {
     return "inference_revision_changed";
   }
+  if (
+    snapshot.scoringPolicyVersion
+    && current.scoringPolicyVersion
+    && snapshot.scoringPolicyVersion !== current.scoringPolicyVersion
+  ) {
+    return "scoring_policy_changed";
+  }
   return null;
 }
 
@@ -62,7 +71,8 @@ export function scoreableSnapshotIsCurrent(
   if (!snapshot.scoreableEvidenceFingerprint || !current.scoreableEvidenceFingerprint) return false;
   return snapshot.scoreableEvidenceFingerprint === current.scoreableEvidenceFingerprint
     && snapshot.candidateSetVersion === current.candidateSetVersion
-    && snapshot.inferenceRevision === current.inferenceRevision;
+    && snapshot.inferenceRevision === current.inferenceRevision
+    && snapshot.scoringPolicyVersion === current.scoringPolicyVersion;
 }
 
 /** No stored snapshot is not stale; a stored snapshot with a missing fingerprint is. */

frontend/src/lib/rectification-agentic/core/types.ts

@@ -85,6 +85,7 @@ export type ConflictProbe = Readonly<{
   information_gain: number;
   source: string;
   choice_kind?: ProbeChoiceKind;
+  target_evidence_id?: string;
   style_options?: readonly Readonly<{
     label: string;
     answer_class: AnswerClass;

frontend/src/lib/rectification-agentic/v9/answer-choice.ts

@@ -50,9 +50,19 @@ import {
   spokenFollowupForUser,
 } from "./method-followup";
 import type { SessionOutcomeKind } from "./confirmation-gate";
-import { refinementFromDecisionReceipt } from "./refinement-packet";
+import { prospectiveWindowsNarration, refinementFromDecisionReceipt } from "./refinement-packet";
 import { projectCurrentQuestion } from "./turn-decision";
 
+function withProspectiveWindows(
+  base: string,
+  receipt: Readonly<Record<string, unknown>> | null | undefined,
+): string {
+  const extra = prospectiveWindowsNarration(
+    refinementFromDecisionReceipt(receipt).prospective_probes,
+  );
+  return extra ? `${base} ${extra}` : base;
+}
+
 export type ApplyChoiceCommand = Readonly<{
   userId: string;
   caseId: string;
@@ -386,10 +396,10 @@ export async function persistNextInterviewAfterChoice(input: {
       });
     }
     return {
-      hostNarration: nonConvergingRangeNarration({
+      hostNarration: withProspectiveWindows(nonConvergingRangeNarration({
         credibleRange: input.nextAction.credible_range,
         representativeTime: input.nextAction.representative_time,
-      }),
+      }), latest.decisionReceipt),
       choiceReady: false,
     };
   }
@@ -535,10 +545,10 @@ export async function persistNextInterviewIfIdle(input: {
     return {
       persisted: false,
       choiceReady: false,
-      hostNarration: `${nonConvergingRangeNarration({
+      hostNarration: withProspectiveWindows(`${nonConvergingRangeNarration({
         credibleRange: decision.credibleRange,
         representativeTime: decision.representativeTime,
-      })} 可以从下面的时间里选一个采用。`,
+      })} 可以从下面的时间里选一个采用。`, dossier.latestResult?.decisionReceipt),
     };
   }
   if (isNonConvergingRangeOffer(decision)) {
@@ -615,7 +625,7 @@ async function persistExhaustionCollect(input: {
   return {
     persisted,
     choiceReady: false,
-    hostNarration: range,
+    hostNarration: withProspectiveWindows(range, input.decisionReceipt ?? input.dossier.latestResult?.decisionReceipt),
   };
 }
 
@@ -702,19 +712,19 @@ ${nextInterview.hostNarration}`
     }
   }
   const adoptionNarration = nextAction.can_adopt
-    ? `${nonConvergingRangeNarration({
+    ? withProspectiveWindows(`${nonConvergingRangeNarration({
       credibleRange: nextAction.credible_range,
       representativeTime: nextAction.representative_time,
-    })} 可以从下面的时间里选一个采用。`
+    })} 可以从下面的时间里选一个采用。`, input.dossier.latestResult?.decisionReceipt)
     : null;
   const completedRangePrefix = input.narration.replace(RECTIFICATION_TERMINATION_COPY, "").trim();
   const completedRangeNarration = nextAction.type === "complete_with_range"
-    ? `${completedRangePrefix}
+    ? withProspectiveWindows(`${completedRangePrefix}
 
 ${nonConvergingRangeNarration({
   credibleRange: nextAction.credible_range,
   representativeTime: nextAction.representative_time,
-}, RECTIFICATION_TERMINATION_COPY)}`
+}, RECTIFICATION_TERMINATION_COPY)}`, input.dossier.latestResult?.decisionReceipt)
     : null;
   if (adoptionNarration || completedRangeNarration) {
     hostNarration = adoptionNarration ?? completedRangeNarration ?? hostNarration;

frontend/src/lib/rectification-agentic/v9/choice-card.ts

@@ -275,6 +275,7 @@ function eventQuestionPrompt(
   family: string,
   kind: EventProbeChoiceKind,
   domain?: string | null,
+  probe?: DiscriminatingEventProbe | null,
 ): string {
   const time = period.trim();
   const topic = family.replace(/[？?。]+$/g, "").trim();
@@ -283,6 +284,9 @@ function eventQuestionPrompt(
       ? "亲密关系里，你更接近哪一种相处方式？"
       : "平时做事，你更接近下面哪一种？";
   }
+  if (kind === "event_quality" && probe?.role === "distinguish" && probe.target_evidence_id && probe.user_meaning?.trim()) {
+    return probe.user_meaning.trim();
+  }
   if (!topic) return time;
   const dated = isConcreteChoicePeriod(period);
   if (kind === "event_quality") {
@@ -342,7 +346,7 @@ function hypothesisFor(
   } else if (!isConcreteChoicePeriod(period)) {
     return null;
   }
-  const prompt = eventQuestionPrompt(period, probe.event_family, kind, domain);
+  const prompt = eventQuestionPrompt(period, probe.event_family, kind, domain, probe);
   const why = probe.user_meaning?.trim() || followup.user_prompt_hint.trim();
   if (!why) return null;
   return withStyleOptionLabels(prompt, why, null, styleOptions.options);

frontend/src/lib/rectification-agentic/v9/decision-from-dossier.ts

@@ -184,7 +184,7 @@ export function contrastPacketFromLatestResult(
   const answered = new Set((inference?.answered_probes ?? []).map((item) => item.probe_id));
   const fromInference: EngineContrastProbe[] = (inference?.probes ?? []).flatMap((probe) => {
     if (answered.has(probe.id) || probe.information_gain <= 0) return [];
-    if (probe.source === "known_event_quality") return [];
+    if (probe.source === "known_event_quality" && !probe.target_evidence_id) return [];
     if (probe.source === "nakshatra_boundary") return [];
     return [{
       semantic_key: probe.semantic_key,
@@ -200,6 +200,7 @@ export function contrastPacketFromLatestResult(
         ? { choice_kind: probe.choice_kind }
         : {}),
       ...(probe.style_options?.length ? { style_options: probe.style_options } : {}),
+      ...(probe.target_evidence_id ? { target_evidence_id: probe.target_evidence_id } : {}),
     }];
   });
   const merged = mergeEngineProbes(
@@ -214,6 +215,7 @@ export function contrastPacketFromLatestResult(
       expected_outcomes: probe.expected_outcomes,
       choice_kind: probe.choice_kind,
       style_options: probe.style_options,
+      target_evidence_id: probe.target_evidence_id,
     })),
   );
   return buildCandidateContrastPacket({
@@ -398,6 +400,7 @@ function completedProbeForSemanticKey(
       expected_outcomes: event.expected_outcomes,
       ...(event.choice_kind ? { choice_kind: event.choice_kind } : {}),
       ...(event.style_options?.length ? { style_options: event.style_options } : {}),
+      ...(event.target_evidence_id ? { target_evidence_id: event.target_evidence_id } : {}),
     }],
     candidateTimes: [...(event.candidate_ids ?? [])],
   });

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

@@ -508,10 +508,13 @@ function remainingReverseVerifyProbes(
   const dasha: DiscriminatingEventProbe[] = [];
   const fallback: DiscriminatingEventProbe[] = [];
   for (const probe of probes ?? []) {
-    if (probe.source === "known_event_quality" || probe.role === "clarify" || probe.phase === "event_clarification") continue;
+    const anchoredQuality = probe.source === "known_event_quality"
+      && Boolean(probe.target_evidence_id)
+      && probe.role === "distinguish";
+    if ((probe.source === "known_event_quality" && !anchoredQuality) || probe.role === "clarify" || probe.phase === "event_clarification") continue;
     if (probe.role === "collect" || probe.phase === "evidence_collection") continue;
     if (declined.has(probe.domain)) continue;
-    if (probeYearAlreadyCovered(evidence, probe.domain, probe.year)) continue;
+    if (!anchoredQuality && probeYearAlreadyCovered(evidence, probe.domain, probe.year)) continue;
     if (probeBelowAdultFloor(probe, birthDate)) continue;
     if (CONFLICT_PROBE_SOURCES.has(probe.source)) {
       dasha.push(probe);
@@ -1109,7 +1112,8 @@ export function isOfferBlockingFollowup(
 
 function discriminatorFromFollowup(followup: MethodFollowup | null): CandidateDiscriminatorProbe | null {
   if (!followup) return null;
-  if (followup.choice_kind === "event_quality" || followup.intent === "clarify_event") return null;
+  if (followup.intent === "clarify_event") return null;
+  if (followup.choice_kind === "event_quality" && followup.intent !== "distinguish_candidates") return null;
   const realProbe = followup.source === "event_probe"
     || followup.source === "reverse_verify"
     || (followup.source === "active_focus" && followup.intent === "distinguish_candidates");

frontend/src/lib/rectification-agentic/v9/refinement-packet.ts

@@ -226,6 +226,24 @@ export type DiscriminatingEventProbe = Readonly<{
   right_time?: string;
   choice_kind?: EventProbeChoiceKind;
   style_options?: readonly EventProbeStyleOption[];
+  target_evidence_id?: string;
+  display_date_label?: string;
+}>;
+
+export type ProspectiveProbe = Readonly<{
+  candidate_label: string;
+  domain: string;
+  window_label: string;
+  user_meaning: string;
+  used_for_scoring: false;
+}>;
+
+export type DroppedPacketProbe = Readonly<{
+  semantic_key?: string;
+  reason: string;
+  domain?: string;
+  year?: number;
+  source?: string;
 }>;
 
 export type CandidateContrastOpportunity = Readonly<{
@@ -492,6 +510,8 @@ function parseExpectedOutcomes(value: unknown): ProbeExpectedOutcome[] {
 }
 
 function parseProbeRole(row: Readonly<Record<string, unknown>>, source: string): EventProbeRole {
+  const anchored = typeof row.target_evidence_id === "string" && row.target_evidence_id.length > 0;
+  if (source === "known_event_quality" && row.role === "distinguish" && anchored) return "distinguish";
   if (row.role === "clarify" || source === "known_event_quality") return "clarify";
   if (row.role === "collect" || source === "age_band") return "collect";
   if (row.role === "holdout" || source === "oos_blind") return "holdout";
@@ -531,7 +551,13 @@ export function parseEventProbes(
       || CLOCK_IN_COPY.test(family)
       || row.unique_minute_claim === true
     ) continue;
-    if (!options.allowQuality && source === "known_event_quality") continue;
+    const evidenceId = typeof row.target_evidence_id === "string" && UUID.test(row.target_evidence_id)
+      ? row.target_evidence_id
+      : null;
+    const anchoredQuality = source === "known_event_quality"
+      && Boolean(evidenceId)
+      && (row.role === "distinguish" || row.phase === "candidate_discriminator");
+    if (!options.allowQuality && source === "known_event_quality" && !anchoredQuality) continue;
     const tracks = Array.isArray(row.tracks)
       ? row.tracks.filter((track): track is "vimshottari" | "narayana" => track === "vimshottari" || track === "narayana")
       : [];
@@ -578,6 +604,8 @@ export function parseEventProbes(
         }),
       } : {}),
       ...(expectedOutcomes.length > 0 ? { expected_outcomes: expectedOutcomes } : {}),
+      ...(evidenceId ? { target_evidence_id: evidenceId } : {}),
+      ...(asText(row.display_date_label, 40) ? { display_date_label: asText(row.display_date_label, 40)! } : {}),
     };
     if (options.requireDistinguishContract && distinguishContractErrors({ ...probe, role: "distinguish" }).length > 0) continue;
     rows.push(probe);
@@ -602,6 +630,65 @@ export function parseCollectionProbes(value: unknown): readonly DiscriminatingEv
   ));
 }
 
+export function parseDroppedPacketProbes(value: unknown): readonly DroppedPacketProbe[] {
+  if (!Array.isArray(value)) return [];
+  const rows: DroppedPacketProbe[] = [];
+  for (const item of value) {
+    const row = asRecord(item);
+    const reason = asText(row?.reason, 80);
+    if (!row || !reason) continue;
+    rows.push({
+      reason,
+      ...(asText(row.semantic_key, 80) ? { semantic_key: asText(row.semantic_key, 80)! } : {}),
+      ...(typeof row.domain === "string" ? { domain: row.domain } : {}),
+      ...(typeof row.year === "number" && Number.isInteger(row.year) ? { year: row.year } : {}),
+      ...(typeof row.source === "string" ? { source: row.source } : {}),
+    });
+    if (rows.length === 16) break;
+  }
+  return rows;
+}
+
+export function parseProspectiveProbes(value: unknown): readonly ProspectiveProbe[] {
+  if (!Array.isArray(value)) return [];
+  const rows: ProspectiveProbe[] = [];
+  for (const item of value) {
+    const row = asRecord(item);
+    const label = asText(row?.candidate_label, 8);
+    const domain = typeof row?.domain === "string" ? row.domain : "";
+    const window = asText(row?.window_label, 40);
+    const meaning = asText(row?.user_meaning, 200);
+    if (
+      !row
+      || !label
+      || !EVENT_PROBE_DOMAIN_SET.has(domain)
+      || !window
+      || !meaning
+      || row.used_for_scoring === true
+      || CLOCK_IN_COPY.test(meaning)
+      || CLOCK_IN_COPY.test(window)
+    ) continue;
+    rows.push({
+      candidate_label: label,
+      domain,
+      window_label: window,
+      user_meaning: meaning,
+      used_for_scoring: false,
+    });
+    if (rows.length === 3) break;
+  }
+  return rows;
+}
+
+export function prospectiveWindowsNarration(probes: readonly ProspectiveProbe[]): string | null {
+  const meanings = probes
+    .filter((item) => item.used_for_scoring === false)
+    .map((item) => item.user_meaning.trim())
+    .filter((item) => item.length > 0 && !CLOCK_IN_COPY.test(item));
+  if (meanings.length === 0) return null;
+  return meanings.join(" ");
+}
+
 export function parseCandidateContrastOpportunities(value: unknown): readonly CandidateContrastOpportunity[] {
   if (!Array.isArray(value)) return [];
   const rows: CandidateContrastOpportunity[] = [];
@@ -711,6 +798,8 @@ export function refinementFromDecisionReceipt(
   event_clarification_probes: readonly DiscriminatingEventProbe[];
   evidence_collection_probes: readonly DiscriminatingEventProbe[];
   candidate_contrast_opportunities: readonly CandidateContrastOpportunity[];
+  dropped_probes: readonly DroppedPacketProbe[];
+  prospective_probes: readonly ProspectiveProbe[];
 } {
   return {
     event_dasha_ledger: parseEventDashaLedger(receipt?.event_dasha_ledger),
@@ -728,5 +817,7 @@ export function refinementFromDecisionReceipt(
       receipt?.evidence_collection_probes ?? receipt?.discriminating_event_probes,
     ),
     candidate_contrast_opportunities: parseCandidateContrastOpportunities(receipt?.candidate_contrast_opportunities),
+    dropped_probes: parseDroppedPacketProbes(receipt?.dropped_probes),
+    prospective_probes: parseProspectiveProbes(receipt?.prospective_probes),
   };
 }