diff --git a/BLOCKED.md b/BLOCKED.md
index b8d77a3f..c24cbdc8 100644
--- a/BLOCKED.md
+++ b/BLOCKED.md
@@ -1,5 +1,14 @@
 # BLOCKED
 
+## 生时校正验证：独立盲测资格与申报偏差真实分布（2026-09-20）
+
+- v3 / v4 的案例成绩已曝光。`BUG-427/428` 禁止将已见案例重新算作独立盲测，任务书没有授权推翻；固定实现、重跑或刷新哈希不能恢复未见性。本轮 T2 只能提供固定口径重跑，独立发布验证仍 blocked，确认门保持 `not_ready`。
+- 真实用户的申报偏差分布目前不可得：需要有独立出生记录的受控用户样本和合规采集授权，目前无受控账号；不读取、猜测或借用账号。本轮 T1 只能回答给定偏差时的敏感性，不能推算总体准确率或现实失败比例。
+- 本机无项目 `.venv`，Python 3.11.7 的 mcp/hypothesis 缺失；快速门及历史 v2 封存哈希断言的基线对照见 `docs/tasks/PROGRESS-rectification-validation-20260920.md`。不改历史封存、不削弱断言来换通过。
+- 前端两侧构建均因 Turbopack 不接受指向工作树外的 node_modules junction 失败；Static/gzip 无完整产物。类型检查和 lint 通过不等于构建通过，补验清单见 `docs/testing/rectification-validation-20260920.md`。
+- 独立审查发现生产矩阵的 transition proximity 仍对跨日候选复用单一出生日期。本轮仅在新增离线评测按日期分组适配并回归，生产实现受本单“不改打分”红线保护，未修；因此本轮跨日结果不是未经改动的生产端到端回放。生产是否另立修复单由产品决定。
+
+
 ## ~~私人案例清理：远程 review 分支推送认证失败（2026-09-19）~~
 
 - **已解除：** 恢复认证后已成功推送 `codex/owner-case-purge-20260919`，远端 SHA 与本地提交一致；未推 staging 或 main，未部署。此前失败历史保留，不再代表当前状态。
diff --git a/docs/BUG_HISTORY.md b/docs/BUG_HISTORY.md
index 433f757b..6abf3866 100644
--- a/docs/BUG_HISTORY.md
+++ b/docs/BUG_HISTORY.md
@@ -12870,3 +12870,52 @@
 - 相关记录：BUG-970
 - 复发自：无
 - 修复版本：`8dc460da`
+
+## BUG-978 | 封存契约当前打分身份与资料审计状态过期
+
+- 状态：resolved/partial
+- 首次发现：2026-09-20
+- 最近更新：2026-09-20
+- 影响面：封存 holdout 契约、当前实现评测身份与离线成绩归属。
+- 用户现象：历史冻结值、历史 sidecar 当前值、当前代码实测哈希互不相同；契约仍写旧资料审计状态与评测日期，当前成绩无法正确归属。
+- 触发条件：打分文件发生变化而契约未刷新，再读取契约判断当前引擎验证状态。
+- 根因：人工维护契约；既有测试仅与旧报告相互核对，没有断言真实当前树身份与数据集状态。
+- 修复：本轮新增固定口径重跑与 freshness 回归；执行与证据见 `docs/tasks/PROGRESS-rectification-validation-20260920.md`。保持发布六键与确认门不变。
+- 验证：freshness 与确认门相关定向通过；独立复算逐例结果及汇总与冻结重跑 JSON 一致，六个 runtime 键未变。新增测试通过既有快速门 glob 桥接实际收集。旧 v2 哈希测试与 quick 环境失败与基线相同，详见进度。独立盲测因案例曾曝光仍 blocked，固定实现重跑不恢复未见性；resolved 仅指元数据过期与可追溯缺口，partial 指新独立盲测未完成。
+- 防复发：当前打分文件 SHA-256、源审计状态与契约必须一致；新鲜度检查须进入实际快速门收集范围，不能仅存在于测试目录。新盲测还必须有未曝光样本和独立标注审核。
+- 相关记录：BUG-098、BUG-427、BUG-428。
+- 复发自：BUG-098 的独立 holdout 边界与 BUG-427 的身份绑定缺口；前者要求未被落实为独立封存流程，后者没有当前树 freshness 检查，旧 sidecar 自洽仍可过测试。
+- 修复版本：本轮执行分支，未交付。
+
+## BUG-979 | 真值中心候选窗掩盖申报偏差导致的真值出窗
+
+- 状态：resolved
+- 首次发现：2026-09-20
+- 最近更新：2026-09-20
+- 影响面：离线候选窗评测与生产申报中心搜索窗的可比性。
+- 用户现象：离线评测真值永在候选窗中心，无法衡量真实申报偏差大于搜索半径时的失败模式。
+- 触发条件：用户申报偏离独立记录且偏差超过候选窗半径。
+- 根因：旧评测从真值构窗，缺少独立的申报偏移变量和真值在窗覆盖指标。
+- 修复：并行新增偏移敏感性评测，不修改历史候选函数；排名后才揭示真值，用既有 opaque 哈希破同分。
+- 验证：完整修正版 900 组合、45 格，排除 0；新增偏差与 freshness/桥接回归 28/28 通过（包含桥接重复收集），真实引擎跨日分组与逐候选重算相同。报告见 `docs/research/reported_offset_2026_09_20.md`，口径与哈希见同名 JSON。resolved 仅指离线缺少偏差维度的缺口，不代表产品分钟准确或生产跨日问题已修。
+- 防复发：锁定零偏移、窗外、口径字段、非真值破同分与跨日行为；窗口覆盖与排序命中分开记录，不以敏感性代替真实用户准确率。
+- 独立审查追加：首版偏差评测的矩阵为全窗共用一个日期，跨日时辅助 transition proximity 有偏差。已在离线适配层按候选日期分组计算并与逐候选真实引擎结果对照，不修改生产打分；原初扫统计作废。生产同类日期处理不在本单修复范围，记入 BLOCKED，不能声称生产端到端等价。
+- 相关记录：BUG-098、BUG-978。
+- 复发自：BUG-098；既有防复发聚焦候选公开门与同案稳定性，没有离线与生产窗心可比性的测试。
+- 修复版本：本轮执行分支，未交付。
+
+## BUG-980 | 缺少事件丰富且从未曝光的独立封存集
+
+- 状态：investigating
+- 首次发现：2026-09-20
+- 最近更新：2026-09-20
+- 影响面：分钟级评测可推广性与独立发布证据。
+- 用户现象：旧封存集事件少；事件丰富的开放集用于调参、成绩已见，不能替代新的独立验证。
+- 触发条件：把开放评价集或真值方向最佳答案回放当成产品分钟级准确率。
+- 根因：开放集建设之后未建立独立采集、未曝光、独立人审的封存孪生集。
+- 修复：本轮仅制定 v5 采集协议与不重叠公开候选池，不采事件、不生成新成绩。
+- 验证：协议含事件/领域目标、独立来源、人审封存、曝光日志、工作量和发布边界；备选池与旧集去重通过（仅候选资格筛查，原文准入仍需复核）。v5 未建成，保持 investigating。
+- 防复发：采集、标注、评分权限分隔，调参前封存，首次揭晓前不得以事件内容调参；拒绝自动置真人审标志和重新封存已曝光案例。
+- 相关记录：BUG-098、BUG-428、BUG-978、BUG-979。
+- 复发自：BUG-098；原记录明确延期独立分区与校准，本轮仍无真正独立样本，不能将文档协议写成验证完成。
+- 修复版本：协议执行分支；数据集未就绪，不标 resolved。
diff --git a/docs/research/ACTIVE_FRONTS.md b/docs/research/ACTIVE_FRONTS.md
index d25b007f..4edd4432 100644
--- a/docs/research/ACTIVE_FRONTS.md
+++ b/docs/research/ACTIVE_FRONTS.md
@@ -2,6 +2,14 @@
 
 This file is the small index for the current engineering fronts that still drive code changes.
 
+## 生时校正验证完整性（2026-09-20）
+
+- [申报偏差敏感性](reported_offset_2026_09_20.md)：申报中心搜索窗与真值出窗，不能当真实用户准确率。
+- [固定口径重跑与契约](sealed_holdout_rerun_2026_09_20.md)：已曝光 v3 的当前实现成绩，不是新的独立盲测；确认门关闭。
+- [v5 独立封存采集协议](sealed_holdout_v5_protocol_2026_09_20.md)：本轮只出协议，不采事件。
+- 前置结论：[分钟分辨率两轮研究](rectification_minute_resolution_closure_2026_09_14.md)。不重走已证伪的加权重与簇合并假设。
+- 执行状态：[本轮进度](../tasks/PROGRESS-rectification-validation-20260920.md)。
+
 ## Shortest-Path Closure Order (2026-06-29)
 
 To avoid scope drift, current work stays inside these four closure lanes only:
diff --git a/docs/research/pre_work_error_ledger.md b/docs/research/pre_work_error_ledger.md
index d2caf80a..8c6b8833 100644
--- a/docs/research/pre_work_error_ledger.md
+++ b/docs/research/pre_work_error_ledger.md
@@ -2,6 +2,13 @@
 
 Purpose: read this file before substantial project work. It exists to stop repeat mistakes caused by multiple Codex windows, WorkBuddy mirrors, local drafts, backup folders, and partial cloud-git visibility.
 
+## 2026-09-20 · 校正验证补缺的本机验收复现
+
+- 基线与实现工作树均使用 Python 3.11.7（无项目 `.venv`；`python3` launcher 退出 49）。开工预检远端 verified，但同一碎片镜像路径断言失败；不得把同步成功写成预检通过。
+- quick 两侧均在 `interpretation_source_inventory_gate.py` 退出 1，缺 `mcp`；两侧输出的 46 条缺引用消息逐项相同，不冒写快速门通过。历史 v2 封存哈希测试在基线已失败，未改历史记录或冻结文件消除它。
+- 前端构建两侧均因外部 node_modules junction 被 Turbopack 拒绝，不能出具 Static/gzip 验收。全量并发测试存在文件级资源失败，需保留基线逐项对照与定向复验，不以较少失败数宣称全部通过。
+- 防复发与补验见 `docs/tasks/PROGRESS-rectification-validation-20260920.md`、`docs/testing/rectification-validation-20260920.md`。本轮未修改环境权限、依赖、workflow 或运行主仓。
+
 ## 2026-09-19 · 私人资料清理的索引依赖预检缺口
 
 - 本轮基线 `35ca7299c`。删除前独立审计发现：主 Skill/MCP 入口无直接引用，不等于台账无读者。证据包索引仍登记全部拟删台账，完整性检查会验证目标路径；派生视图和研究矩阵也保留引用。原清单直接删除会造成缺失路径回归，初期因此暂缓；产品补充授权后已完成精确删除与引用修复，索引缺失路径仍为零。交付状态见本轮进度记录。
diff --git a/docs/research/reported_offset_2026_09_20.json b/docs/research/reported_offset_2026_09_20.json
new file mode 100644
index 00000000..fb85c9f8
--- /dev/null
+++ b/docs/research/reported_offset_2026_09_20.json
@@ -0,0 +1,12201 @@
+{
+  "scope": "reported_offset_sensitivity_not_product_accuracy",
+  "specification": {
+    "ayanamsa": "raman",
+    "node_mode": "mean",
+    "radii_minutes": [
+      15,
+      30,
+      60
+    ],
+    "offsets_minutes": [
+      -30,
+      -20,
+      -15,
+      -10,
+      -8,
+      -5,
+      -3,
+      0,
+      3,
+      5,
+      8,
+      10,
+      15,
+      20,
+      30
+    ],
+    "minute_step": 1,
+    "dataset": "references/real_case_calibration/minute_rectification_holdout_v3.json",
+    "dataset_sha256": "45aa76ab79dfc6c6404b6252083e1aa5c7e2e2b7de811fc11042a8ad2da3f0ea",
+    "dataset_benchmark_id": "minute_rectification_fact_ranker_v4_holdout_v3",
+    "implementation_sha256": "b15d9ea15227cd58b3097555537fa7c37fb5a993905ada4f5aa04f52de1f8f18",
+    "implementation_sha256_prefix": "b15d9ea15227cd58",
+    "production_scoring_files": [
+      "scripts/active_rectification_event_engine.py",
+      "scripts/active_rectification_events.py",
+      "scripts/ashtakavarga.py",
+      "scripts/dasha_analyzer.py",
+      "scripts/divisional_charts_extended.py",
+      "scripts/domain_calculation_service.py",
+      "scripts/jaimini.py",
+      "scripts/minute_rectification_fact_ranker_v4.py",
+      "scripts/minute_rectification_feature_facts_v4.py",
+      "scripts/narayana_dasha.py",
+      "scripts/rectification/candidate_contrast.py",
+      "scripts/rectification/case_holdout.py",
+      "scripts/rectification/contracts.py",
+      "scripts/rectification/dasha_transition_proximity.py",
+      "scripts/rectification/event_probes.py",
+      "scripts/rectification/scoring_service.py",
+      "scripts/shadbala.py",
+      "scripts/varga.py"
+    ],
+    "production_scoring_sha256": "115c3fbcffdaff49aa7a2ef0fac88eba6e7ac6056641f94d933c8061701e73e6",
+    "research_files": [
+      "scripts/research/reported_offset_sweep.py",
+      "scripts/research/cluster_width_lib.py",
+      "scripts/research/probe_supply_after_six.py",
+      "scripts/research/sealed_holdout_rerun.py",
+      "scripts/minute_rectification_blind_eval.py"
+    ],
+    "research_implementation_sha256": "8d0c613dc0900adbe798c8bd0bdd001b5ae26a8cfe731e6cccf8207f39e7d370",
+    "hash_scope": "explicit_identity_file_sets_not_a_transitive_dependency_lock",
+    "scorer": "native_event_contribution_matrix_not_shadow_fact_ranker",
+    "delivery": "initial_signature_clusters_peak_gap_lt_8_envelope_no_answers_no_elimination",
+    "rank": "score_desc_then_sha256(benchmark_id:case_id:candidate_time)",
+    "grid": "every_minute_inclusive_not_production_two_minute_sampling",
+    "cross_midnight": "date_aware_candidates_distance_and_matrix_grouped_by_candidate_date",
+    "evaluator_sha256": "87f87859bb399da1e860ab5e750e68088401a5a82fbba10ba709c17e5266167c",
+    "replay_revision": "candidate_date_grouped_v2",
+    "supersedes": "initial_sweep_invalidated_cross_midnight_transition_anchor",
+    "is_blind_evaluation": false,
+    "truth_hidden_from_ranker": true,
+    "results_previously_seen": true,
+    "must_not_use_for_tuning": true
+  },
+  "excluded_cases": [],
+  "case_count": 20,
+  "trial_count": 900,
+  "trials": [
+    {
+      "case_ordinal": 1,
+      "offset_minutes": -30,
+      "radius_minutes": 15,
+      "truth_in_window": false,
+      "truth_in_candidates": false,
+      "true_rank": null,
+      "top_1_hit": false,
+      "top_1_minute_error": 36.0,
+      "delivery_covers_truth": false,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": -20,
+      "radius_minutes": 15,
+      "truth_in_window": false,
+      "truth_in_candidates": false,
+      "true_rank": null,
+      "top_1_hit": false,
+      "top_1_minute_error": 35.0,
+      "delivery_covers_truth": false,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": -15,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 24,
+      "top_1_hit": false,
+      "top_1_minute_error": 29.0,
+      "delivery_covers_truth": true,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": -10,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 27,
+      "top_1_hit": false,
+      "top_1_minute_error": 7.0,
+      "delivery_covers_truth": true,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": -8,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 26,
+      "top_1_hit": false,
+      "top_1_minute_error": 7.0,
+      "delivery_covers_truth": true,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": -5,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 24,
+      "top_1_hit": false,
+      "top_1_minute_error": 7.0,
+      "delivery_covers_truth": true,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": -3,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 22,
+      "top_1_hit": false,
+      "top_1_minute_error": 7.0,
+      "delivery_covers_truth": true,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": 0,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 22,
+      "top_1_hit": false,
+      "top_1_minute_error": 15.0,
+      "delivery_covers_truth": true,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": 3,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 22,
+      "top_1_hit": false,
+      "top_1_minute_error": 18.0,
+      "delivery_covers_truth": true,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": 5,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 22,
+      "top_1_hit": false,
+      "top_1_minute_error": 20.0,
+      "delivery_covers_truth": true,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": 8,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 22,
+      "top_1_hit": false,
+      "top_1_minute_error": 21.0,
+      "delivery_covers_truth": true,
+      "candidate_count": 31,
+      "delivery_width_minutes": 31
+    },
+    {
+      "case_ordinal": 1,
+      "offset_minutes": 10,
+      "radius_minutes": 15,
+      "truth_in_window": true,
+      "truth_in_candidates": true,
+      "true_rank": 22,
+      "top_1_hit": false,
+      "top_1_minute_error": 21.0,
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+    {
+      "radius_minutes": 60,
+      "offset_minutes": -30,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 27.35
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": -20,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 28.6
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": -15,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 25.05
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": -10,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 24.75
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": -8,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 24.75
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": -5,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 24.45
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": -3,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 26.75
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": 0,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 26.5
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": 3,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 29.25
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": 5,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 27.35
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": 8,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 27.35
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": 10,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 27.35
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": 15,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 27.1
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": 20,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 25.95
+    },
+    {
+      "radius_minutes": 60,
+      "offset_minutes": 30,
+      "trial_count": 20,
+      "truth_in_window_rate": 1.0,
+      "top_1_rate": 0.05,
+      "delivery_coverage_rate": 1.0,
+      "mean_absolute_minute_error": 31.85
+    }
+  ],
+  "widening_geometry": {
+    "scored_radii": [
+      15,
+      30,
+      60
+    ],
+    "radius_120_scored": false,
+    "truth_in_window_condition": "abs(reported_offset_minutes) <= radius_minutes",
+    "radius_15_first_integer_minute_outside": 16,
+    "all_tested_offsets_within_radius_30_60_120": true,
+    "boundary": "Geometry rescues candidate inclusion only, not ranking or delivery coverage; no population frequency without a reported-offset distribution."
+  }
+}
diff --git a/docs/research/reported_offset_2026_09_20.md b/docs/research/reported_offset_2026_09_20.md
new file mode 100644
index 00000000..5ea12451
--- /dev/null
+++ b/docs/research/reported_offset_2026_09_20.md
@@ -0,0 +1,64 @@
+# 申报偏差敏感性评测（2026-09-20）
+
+## 结论与边界
+
+**默认半径 ±15 分钟时，申报误差绝对值超过 15 分钟，记录真值就不在候选窗内；按整数分钟，第 16 分钟开始出窗。** 这是搜索窗几何边界，不需要知道真实用户偏差分布。
+
+本轮完整评测预先固定 15 个偏移 × 3 档半径 × 20 例，共 900 组合。修正版全部运行完成，validator 排除 0 例；实测结果以下列最终 JSON 为准，不能用中途旧版本初扫代替。
+
+**区间覆盖不等于分钟命中，模拟偏差敏感性不等于真实用户准确率。** 不运行六题真值方向回放，不以用户认可作真值，不调参、不改生产打分、不打开确认门。
+
+## 口径
+
+| 项目 | 口径 |
+| --- | --- |
+| 数据集 | `references/real_case_calibration/minute_rectification_holdout_v3.json`，20 例公开 AA，每例 3 件事件，已曝光 |
+| ayanamsa / node mode | `raman` / `mean` |
+| 申报偏移 | 0、±3、±5、±8、±10、±15、±20、±30 分钟 |
+| 搜索半径 | ±15 / ±30 / ±60 分钟；±120 仅说明几何边界，未评分 |
+| 候选步长 | 1 分钟，含两端；不是生产 2 分钟抽样 |
+| 12 文件历史身份 | `b15d9ea15227cd58`（完整值见 JSON） |
+| 实际评分路径 | 原生 event contribution matrix；不是 T2 的 shadow fact ranker |
+| 额外身份 | JSON 的 `production_scoring_sha256` 与 `research_implementation_sha256` 分别绑定扩展评分文件和研究适配文件；显式文件清单不是完整传递依赖锁 |
+| 头名与排名 | 分数降序，再用既有 `_opaque_winner` 同源 SHA-256 规则排同分；不选择最接近真值的候选 |
+| 交付区间 | 初始未答题：signature clusters 中落后头名不足 8 分的仍有效簇外包范围；无新回答、无淘汰，不是完整问答链交付效果 |
+| 跨午夜 | 候选、误差及区间使用完整日期；离线矩阵按候选日期分组，合并后全窗排序/聚类 |
+| 独立性 | `is_blind_evaluation=false`，已曝光集；评分/区间定稿后才揭示标签，仅证明程序标签隔离 |
+
+## 实测表
+
+每格依次为 **真值在窗比例 / 哈希头名命中 / 初始交付区间覆盖**，分母均为 20 例。列为申报偏移分钟，行为搜索半径。统一口径：v3、raman/mean、1 分钟步长；历史打分身份 `b15d9ea15227cd58`，扩展原生评分身份 `115c3fbcffdaff49`，研究适配身份 `8d0c613dc0900adb`。
+
+| 半径 | -30 | -20 | -15 | -10 | -8 | -5 | -3 | 0 | +3 | +5 | +8 | +10 | +15 | +20 | +30 |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| ±15 | 0/0/0 | 0/0/0 | 100/10/95 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/95 | 100/15/95 | 0/0/0 | 0/0/0 |
+| ±30 | 100/10/95 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/95 | 100/15/95 |
+| ±60 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 | 100/5/100 |
+
+表内全部数字单位为 %。这只是 20 例公开已曝光案例的条件敏感性，不附会总体置信度。即使真值在候选窗中，±15 的 -15/+10/+15 档及 ±30 的 -30/+20/+30 档仍各有一例未被初始交付范围覆盖；窗口包含与交付覆盖必须分开。±60 的所有采样偏移虽保持覆盖，但真正选中的头名只有 5%，不能用宽区间覆盖声称分钟准确。
+
+修正版与错误初版的汇总比例恰好相同，不表示初版评分正确；身份、逐候选计算与跨日回归以修正版为准。
+
+## 放宽能救回什么
+
+- 真值在候选窗的条件始终是 `abs(offset) <= radius`。本次偏移最大绝对值 30，因此半径 30 / 60 / 120 在几何上都能包含本次所有偏移标签。
+- 对 ±15 已出窗的 ±20 / ±30 两组偏移，放宽到 ±30 可把**候选窗包含率**从 0 恢复到 100%；±60 / ±120 对这些特定偏移不再增加几何包含率。
+- 半径 ±30 自第 31 个整数分钟偏移出窗，±60 自第 61 个、±120 自第 121 个。放宽不是无条件保证，更不代表排名命中或交付覆盖同样恢复。
+- ±120 未跑评分，不报告其头名命中率或交付覆盖率。真实用户申报偏差分布未知，不估算现实用户中有多少人能被放宽救回。
+
+## 初扫作废与独立复核
+
+首版正确枚举了跨日候选，但矩阵内 transition proximity 仍共用窗口起日，独立审查发现跨日候选得分偏移。因此旧初扫作废，修正版标记 `replay_revision=candidate_date_grouped_v2`，并登记 `supersedes=initial_sweep_invalidated_cross_midnight_transition_anchor`。
+
+修复仅在本次新脚本 `score_window()` 做按日期分组适配，未改冻结打分文件。实引擎回归验证跨日窗口的分组计算与逐候选独立重算相同；聚类和交付范围在合并后全窗运行。**生产日期处理未在本单修复，不能称为生产端到端回放。**
+
+## 可复算产物与验收
+
+```bash
+python scripts/research/reported_offset_sweep.py --json
+python -m pytest tests/test_reported_offset_research.py tests/test_rectification_validation_integrity_gate.py -q
+```
+
+`reported_offset_2026_09_20.json` 保留逐例四项必要输出：真值是否在窗、真值排名、头名分钟误差、交付区间覆盖，以及每个格子的分母、全部参数和实现哈希。仅保存公开集序号，不保存出生分钟、坐标或事件正文。
+
+排名不能与 T2 的竞争排名 top-1/top-3 混比：T2 按旧协议允许并列多个分钟同时算第一；本表把同分完全按哈希打破。最终测试数字与已知基线失败见 [进度](../tasks/PROGRESS-rectification-validation-20260920.md)。真实分布采集与新未曝光样本见 [v5 协议](sealed_holdout_v5_protocol_2026_09_20.md)。
diff --git a/docs/research/sealed_holdout_rerun_2026_09_20.freeze.json b/docs/research/sealed_holdout_rerun_2026_09_20.freeze.json
new file mode 100644
index 00000000..62ad97bd
--- /dev/null
+++ b/docs/research/sealed_holdout_rerun_2026_09_20.freeze.json
@@ -0,0 +1,43 @@
+{
+  "record_version": "exposed-v3-fixed-protocol-rerun-v1",
+  "frozen_at_utc": "2026-09-20T03:27:26.670869+00:00",
+  "dataset_path": "references/real_case_calibration/minute_rectification_holdout_v3.json",
+  "dataset_sha256": "45aa76ab79dfc6c6404b6252083e1aa5c7e2e2b7de811fc11042a8ad2da3f0ea",
+  "algorithm_version": "birth-time-event-fact-ranker-v4-shadow",
+  "implementation_sha256": "b15d9ea15227cd58b3097555537fa7c37fb5a993905ada4f5aa04f52de1f8f18",
+  "files": [
+    "scripts/active_rectification_event_engine.py",
+    "scripts/active_rectification_events.py",
+    "scripts/ashtakavarga.py",
+    "scripts/dasha_analyzer.py",
+    "scripts/divisional_charts_extended.py",
+    "scripts/domain_calculation_service.py",
+    "scripts/jaimini.py",
+    "scripts/minute_rectification_fact_ranker_v4.py",
+    "scripts/minute_rectification_feature_facts_v4.py",
+    "scripts/narayana_dasha.py",
+    "scripts/shadbala.py",
+    "scripts/varga.py"
+  ],
+  "historical_frozen_sha256": "f41c298dd6cdcebe7a93e632f7191954be7987f6012ca2a34cecb6e447fbf196",
+  "evaluator_sha256": "3bf35de5f8a0b9588808178d47ba2457c398cf2fd2d2fcb03c5c71420f998da5",
+  "ayanamsa": "raman",
+  "node_mode": "mean",
+  "candidate_radius_minutes": [
+    10
+  ],
+  "minute_step": 1,
+  "release_metrics": {
+    "top_1_rate_minimum": 0.6,
+    "top_3_rate_minimum": 0.85,
+    "mean_absolute_minute_error_maximum": 2.0,
+    "false_confirmation_rate_maximum": 0.05,
+    "correct_insufficient_evidence_rejection_rate_minimum": 0.9
+  },
+  "results_previously_seen": true,
+  "official_valid_independent_blind": false,
+  "must_not_use_for_tuning": true,
+  "tie_breaker": "sha256(benchmark_id:case_id:candidate_time); published minute is never passed to the ranker",
+  "metric_rank_definition": "competition_rank_1_plus_strictly_higher_scores_legacy_protocol",
+  "extra_metric_rank_definition": "score_desc_then_existing_opaque_sha256_total_order"
+}
diff --git a/docs/research/sealed_holdout_rerun_2026_09_20.json b/docs/research/sealed_holdout_rerun_2026_09_20.json
new file mode 100644
index 00000000..46f688e0
--- /dev/null
+++ b/docs/research/sealed_holdout_rerun_2026_09_20.json
@@ -0,0 +1,626 @@
+{
+  "scope": "fixed_protocol_previously_exposed_v3_rerun",
+  "evaluated_on": "2026-09-20",
+  "frozen_record": {
+    "record_version": "exposed-v3-fixed-protocol-rerun-v1",
+    "frozen_at_utc": "2026-09-20T03:27:26.670869+00:00",
+    "dataset_path": "references/real_case_calibration/minute_rectification_holdout_v3.json",
+    "dataset_sha256": "45aa76ab79dfc6c6404b6252083e1aa5c7e2e2b7de811fc11042a8ad2da3f0ea",
+    "algorithm_version": "birth-time-event-fact-ranker-v4-shadow",
+    "implementation_sha256": "b15d9ea15227cd58b3097555537fa7c37fb5a993905ada4f5aa04f52de1f8f18",
+    "files": [
+      "scripts/active_rectification_event_engine.py",
+      "scripts/active_rectification_events.py",
+      "scripts/ashtakavarga.py",
+      "scripts/dasha_analyzer.py",
+      "scripts/divisional_charts_extended.py",
+      "scripts/domain_calculation_service.py",
+      "scripts/jaimini.py",
+      "scripts/minute_rectification_fact_ranker_v4.py",
+      "scripts/minute_rectification_feature_facts_v4.py",
+      "scripts/narayana_dasha.py",
+      "scripts/shadbala.py",
+      "scripts/varga.py"
+    ],
+    "historical_frozen_sha256": "f41c298dd6cdcebe7a93e632f7191954be7987f6012ca2a34cecb6e447fbf196",
+    "evaluator_sha256": "3bf35de5f8a0b9588808178d47ba2457c398cf2fd2d2fcb03c5c71420f998da5",
+    "ayanamsa": "raman",
+    "node_mode": "mean",
+    "candidate_radius_minutes": [
+      10
+    ],
+    "minute_step": 1,
+    "release_metrics": {
+      "top_1_rate_minimum": 0.6,
+      "top_3_rate_minimum": 0.85,
+      "mean_absolute_minute_error_maximum": 2.0,
+      "false_confirmation_rate_maximum": 0.05,
+      "correct_insufficient_evidence_rejection_rate_minimum": 0.9
+    },
+    "results_previously_seen": true,
+    "official_valid_independent_blind": false,
+    "must_not_use_for_tuning": true,
+    "tie_breaker": "sha256(benchmark_id:case_id:candidate_time); published minute is never passed to the ranker",
+    "metric_rank_definition": "competition_rank_1_plus_strictly_higher_scores_legacy_protocol",
+    "extra_metric_rank_definition": "score_desc_then_existing_opaque_sha256_total_order"
+  },
+  "implementation_hash_matches_at_replay": true,
+  "dataset_hash_matches_at_replay": true,
+  "source_audit_status": "corrected_known_date_errors",
+  "validation_status": "blocked_awaiting_public_aa_cases",
+  "valid_public_aa_cases": 20,
+  "excluded_cases": [],
+  "trial_count": 20,
+  "trials": [
+    {
+      "case_ordinal": 1,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 5,
+      "opaque_true_rank": 8,
+      "minute_error": 10,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 2,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 2,
+      "opaque_true_rank": 8,
+      "minute_error": 3,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "insufficient_events",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 3,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 1,
+      "opaque_true_rank": 12,
+      "minute_error": 5,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 4,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 1,
+      "opaque_true_rank": 1,
+      "minute_error": 0,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "insufficient_events",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 5,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 1,
+      "opaque_true_rank": 10,
+      "minute_error": 1,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 6,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 7,
+      "opaque_true_rank": 12,
+      "minute_error": 6,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 7,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 5,
+      "opaque_true_rank": 7,
+      "minute_error": 9,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 8,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 5,
+      "opaque_true_rank": 8,
+      "minute_error": 10,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "insufficient_events",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 9,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 1,
+      "opaque_true_rank": 3,
+      "minute_error": 1,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "missing_mandatory_layers",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "missing_mandatory_layers",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 10,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 1,
+      "opaque_true_rank": 8,
+      "minute_error": 5,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 11,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 6,
+      "opaque_true_rank": 17,
+      "minute_error": 5,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 12,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 1,
+      "opaque_true_rank": 4,
+      "minute_error": 5,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 13,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 5,
+      "opaque_true_rank": 7,
+      "minute_error": 10,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 14,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 17,
+      "opaque_true_rank": 19,
+      "minute_error": 10,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 15,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 1,
+      "opaque_true_rank": 7,
+      "minute_error": 9,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "missing_mandatory_layers",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "missing_mandatory_layers",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 16,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 12,
+      "opaque_true_rank": 12,
+      "minute_error": 10,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 17,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 6,
+      "opaque_true_rank": 6,
+      "minute_error": 6,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 18,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 11,
+      "opaque_true_rank": 14,
+      "minute_error": 10,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "insufficient_events",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 19,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 1,
+      "opaque_true_rank": 6,
+      "minute_error": 4,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    },
+    {
+      "case_ordinal": 20,
+      "candidate_count": 21,
+      "event_count": 3,
+      "true_rank": 1,
+      "opaque_true_rank": 7,
+      "minute_error": 10,
+      "would_confirm": false,
+      "false_confirmation": false,
+      "insufficient_evidence_rejected": true,
+      "full_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ],
+      "sparse_trial_reasons": [
+        "unique_minute_not_found",
+        "insufficient_events",
+        "insufficient_domains",
+        "neighbor_stability_not_passed",
+        "leave_one_event_out_not_passed",
+        "top_candidate_feature_not_unique",
+        "fact_ranker_v4_holdout_not_ready"
+      ]
+    }
+  ],
+  "metrics": {
+    "top_1_rate": 0.45,
+    "top_3_rate": 0.5,
+    "mean_absolute_minute_error": 6.45,
+    "false_confirmation_rate": 0.0,
+    "correct_insufficient_evidence_rejection_rate": 1.0,
+    "confirmation_coverage_rate": 0.0
+  },
+  "metric_gates_passed": false,
+  "opaque_exact_top_1_rate": 0.05,
+  "opaque_exact_top_3_rate": 0.1,
+  "official_valid_independent_blind": false,
+  "official_blind_trial_count": 0,
+  "is_blind_evaluation": false,
+  "truth_hidden_from_ranker": true,
+  "results_previously_seen": true,
+  "verified_minute_claim_allowed": false,
+  "status": "blocked_independent_blind_evidence",
+  "boundary": "Three-event low-information protocol, not a mathematical accuracy lower bound and not representative of real sessions. Historical v3/v4 exposure cannot be undone by freezing today's scorer. No tuning or release claims."
+}
diff --git a/docs/research/sealed_holdout_rerun_2026_09_20.md b/docs/research/sealed_holdout_rerun_2026_09_20.md
new file mode 100644
index 00000000..0a725440
--- /dev/null
+++ b/docs/research/sealed_holdout_rerun_2026_09_20.md
@@ -0,0 +1,72 @@
+# 当前冻结实现的 v3 固定口径重跑（2026-09-20）
+
+## 结论
+
+**已补上当前实现可归属、可复算的成绩；没有补成新的独立官方盲测。** 既有 v3/v4 人物与成绩已经曝光，重新冻结今天的打分文件不能消除曝光。任务书 T2 中「首次口径干净的官方盲测」在既有 BUG-427 / BUG-428 红线下仍为 **blocked**，不得改名通过。确认门保持关闭。
+
+这是每例只有 3 件事的低信息量（任务书称「下限」）口径，不代表真实会话；事件少不等于数学上保证成绩更低，因此也不是准确率下界。
+
+## 固定口径与可审计文件
+
+| 项目 | 本次实际值 |
+| --- | --- |
+| 数据集 | `references/real_case_calibration/minute_rectification_holdout_v3.json` |
+| 数据集 SHA-256 | `45aa76ab79dfc6c6404b6252083e1aa5c7e2e2b7de811fc11042a8ad2da3f0ea` |
+| 计算规格 | ayanamsa `raman` / node mode `mean` |
+| 半径 / 步长 | ±10 分钟 / 1 分钟，含两端；真值为窗心 |
+| 算法 | `birth-time-event-fact-ranker-v4-shadow`，不是生产 V9 问答链 |
+| 当前打分身份 | `b15d9ea15227cd58b3097555537fa7c37fb5a993905ada4f5aa04f52de1f8f18`（前缀 `b15d9ea15227cd58`） |
+| 样本 / 事件 | 20 例 / 每例 3 件；validator 排除 0 例 |
+| 资料审计状态 | `corrected_known_date_errors`，不等同全新独立人工重审 |
+| 排名标签隔离 | 排序和稀疏证据判定完成后才读取真值标签 |
+| 独立官方盲测 | `official_valid_independent_blind=false`；有效官方盲测试次仍为 0 |
+
+冻结记录：`sealed_holdout_rerun_2026_09_20.freeze.json`。先以独占创建模式记录 12 个文件、数据集与评测器字节哈希，再执行评分；评分前验证全部身份，任何漂移即拒绝。历史 v3 `frozen_scoring` 原值 `f41c298dd6cdcebe…` 未改。
+
+脱敏逐例结果：`sealed_holdout_rerun_2026_09_20.json`，只含公开集序号、排名、误差、门禁原因，不含出生分钟、坐标或事件正文。复算：
+
+```bash
+python scripts/research/sealed_holdout_rerun.py --json
+```
+
+## 五项预注册指标与门槛
+
+本表统一口径：v3 / `raman` / `mean` / ±10 / 1 分钟 / `b15d9ea15227cd58`。
+
+| 指标 | 实测 | 预注册门槛 | 数值对照 |
+| --- | ---: | ---: | --- |
+| top-1（旧协议竞争排名，含并列） | 0.45 | ≥0.60 | 未通过 |
+| top-3（旧协议竞争排名，含并列） | 0.50 | ≥0.85 | 未通过 |
+| 头名平均绝对分钟误差（哈希打破并列） | 6.45 分钟 | ≤2.00 分钟 | 未通过 |
+| 误确认率（全样本分母） | 0.00 | ≤0.05 | 通过，但无确认覆盖，不能证明确认精度 |
+| 信息不足正确拒绝率（每例仅首件事件） | 1.00 | ≥0.90 | 通过 |
+| 确认覆盖率（补充） | 0.00 | 本单禁止抬高 | 保持关闭 |
+| 作为独立盲测发布成绩的资格 | 不适用 | 新封存、未曝光、独立审计 | blocked，不可当发布指标 |
+
+**重要口径纠正：旧 top-1/top-3 不是哈希选中那个分钟的命中率。** 现有评测的 `true_rank = 1 + 严格高于真值分数的候选数` 会把同分的多个分钟全算第一；本次为保证与旧协议可比保留它，同时增加哈希全序的真实选中指标，不暗改预注册定义。
+
+| 附加指标（同一上述口径） | 实测 |
+| --- | ---: |
+| `_opaque_winner` 真正选中的头名命中 | 0.05 |
+| 同一哈希全序中的 top-3 命中 | 0.10 |
+
+这两个数字不能与旧 0.45/0.50 混称同一种准确率。没有据此改权重、换半径、换案例或剔除失败例。
+
+## 契约改了什么、没有改什么
+
+- `current_tree_scorer` 绑定本次真实哈希及新报告，新增固定口径试次数与成绩；旧 `current_tree_unfrozen_diagnostic` 历史块保留。
+- `source_audit_status` 对齐数据集；`evaluated_on` 表示最新固定口径重跑日期，并新增作用域说明。历史顶层指标仍有 `metrics_produced_by` 的旧日期与来源，未伪装成本次结果。
+- `status`、`valid_public_aa_cases`、`required_cases`、`top_1_rate`、`confirmation_coverage_rate`、`sealed_benchmark_id` 六个 runtime 键的值与类型全不变；尤其 `status=not_ready`、确认覆盖率为零。
+- `official_eval_implementation_hash_matches=false`、`official_eval_trial_count=0` 保留；新增重跑记录不冒充已重新获得独立性。
+- 未改任何冻结打分文件、生产判定、现有 `_candidate_moments()` 或 `request_from_case()`。
+
+## 防复发与既有断言变更
+
+新增 `tests/test_sealed_holdout_contract_freshness.py` 钉死当前树身份、审计状态、冻结记录、报告汇总与独立性声明；冻结身份不符必须在计算前拒绝。`tests/test_rectification_validation_integrity_gate.py` 将其和偏差评测回归纳入现有 `test_rectification_*.py` 快速门，不改 workflow。
+
+| 原断言 | 新断言 | 原因 |
+| --- | --- | --- |
+| Python / 前端：`current_tree_scorer.implementation_sha256` 等于旧 post-audit sidecar 的哈希 | 等于新固定口径报告 `frozen_record.implementation_sha256`，另验证当前树与新报告 | 契约当前树块的含义就是当前实现；继续绑定旧报告会强制过期。新增身份断言更严格，不弱化门禁 |
+| 官方标志 false、官方试次 0、六键等于历史报告、确认门全套行为断言 | 原值保留，另加固定口径重跑身份/试次和独立盲测 false | 固定口径重跑不是新的独立盲测，不借元数据迁移打开确认门 |
+
+本机 Python 3.11.7 可跑；`python3` Windows 别名退出 49。该任务定向命令的最终测试清单与基线失败对照由 `PROGRESS-rectification-validation-20260920.md` 统一记录。特别是既有 v2 冻结身份测试不属本次刷新范围，不得为了通过而改其历史封存或断言。
diff --git a/docs/research/sealed_holdout_v5_protocol_2026_09_20.md b/docs/research/sealed_holdout_v5_protocol_2026_09_20.md
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+# 封存集 v5 采集协议（2026-09-20）
+
+> 状态：**协议已拟定，未采集事件、未建成数据集、未评分、未完成独立人工审阅**。本文件只交付 T3，不等于 BUG-980 已解决。
+> 任务：[TASK-rectification-validation-integrity-20260920](../tasks/TASK-rectification-validation-integrity-20260920.md)。关联 BUG-098 / BUG-428 / BUG-980。
+> 本文所有样本量、事件数、半径与工时均为**协议目标或估算**，不是模型成绩；本轮不产生评分实现哈希或准确率。未来评分必须附完整实现哈希、数据集哈希、ayanamsa、node mode、半径、步长和试验登记号。
+
+## 1. 要证明什么，以及明确不证明什么
+
+v5 的目标是同时满足 **封存 + 每例至少 7 件带年月事件 + 至少 4 个领域**：事件密度对齐 v4，隔离纪律至少达到 v3 设计目标，并修补“程序不读真值”不等于“人未看过成绩”的缺口。拟获得至少 25 个合格人物；下列 26 人只是备选池，不保证其事件覆盖已达标，不足时须在评分前按同一标准扩池。
+
+**在 v5 就绪之前，任何对外的分钟级准确率说法都没有依据。** v5 就绪也仅是允许开始验证，不是默认验证成功；还必须完成预注册评测、独立审阅与发布决策。
+
+- T2 的数字是 v3 每例仅 3 件事的**低事件量口径**，不是对真实会话准确率的保证，更不是数学意义上的性能下界。重新冻结当前实现可以恢复“成绩归属于哪个实现”的可追溯性，不能消除旧人物、旧事件或旧成绩的曝光。
+- T1 的数字是“申报偏差为 X 时会怎样”的**敏感性**，不是实际用户准确率；未知真实用户的申报偏差分布时，不得把各偏移档等权平均后宣传为产品表现。
+- 真值藏在排名之后只证明程序的标签隔离；独立盲测还要求未用其人物/事件/结果调参。BUG-428 已规定：**结果已被看过的案例不得再计入盲测**，自动化迁移的审阅记录也不等于新的传记级人审。
+- Rodden-AA 表示出生来源等级，不保证记录无舍入、无转录差错，更不保证真实出生瞬间精确到某分钟。评测标签称为“有来源的记录时间”，不能抹平记录误差。
+- 本协议不改打分、阈值、产品行为或确认门。`accepted` 不等于 `confirmed`；即使未来达到指标，确认门是否开放仍须产品另行授权。
+
+## 2. 候选池与来源筛查
+
+### 2.1 本次核对的边界
+
+2026-09-20 通过公开网络搜索，逐人核对 Astro-Databank 或其同站生日索引返回的 **Rodden Rating = AA** 与出生资料来源类别。本机对部分原文页直接读取返回校验页，因此以下状态仅为**可追溯的候选筛查**，不是出生证原件已取得、源页已归档或独立人工审阅已完成。正式入集前必须重新打开逐人原文、复核 Source Notes 并登记页面修订号/检索时间；若无法核实或等级降级，按资料不合格替换，不得把搜索摘要升级为完成证据。
+
+只列人物和资料来源类型，不采集、复制或展示出生分钟、坐标和生平事件内容。`BC/BR in hand` / `Quoted BC/BR` 是来源网站的标签，不是声称本项目持有原件。事件来源目前只是允许的来源类型，尚未检索或标注。
+
+| # | 公开人物 | AA 来源页与出生资料类型（候选筛查） | 后续事件来源类型（待采集） |
+| --- | --- | --- | --- |
+| 1 | Albert Einstein | [Astro-Databank](https://www.astro.com/astro-databank/Einstein,_Albert)；BC/BR in hand | 诺贝尔官方、大学档案、公开传记 |
+| 2 | Marie Curie | [Astro-Databank](https://www.astro.com/astro-databank/Curie,_Marie)；Quoted BC/BR，Source Notes 指向洗礼记录 | 诺贝尔官方、研究机构档案、公开传记 |
+| 3 | Emmanuel Macron | [Astro-Databank](https://www.astro.com/astro-databank/Macron,_Emmanuel)；Quoted BC/BR | 政府公开档案、可靠新闻、公开传记 |
+| 4 | Marilyn Monroe | [Astro-Databank](https://www.astro.com/astro-databank/Monroe,_Marilyn)；BC/BR in hand | 电影机构档案、可靠新闻、公开传记 |
+| 5 | Emma Watson | [Astro-Databank](https://www.astro.com/astro-databank/Watson,_Emma)；Quoted BC/BR | 联合国公开档案、院校/电影机构记录、公开传记 |
+| 6 | George Clooney | [Astro.com 同站 AA 索引](https://www.astro.com/adbvip/adbvip_05_06.htm)；BC/BR in hand | 电影学院/电影节官方、可靠新闻、公开传记 |
+| 7 | Tom Hanks | [Astro-Databank](https://www.astro.com/astro-databank/Hanks,_Tom)；BC/BR in hand | 电影学院官方、可靠新闻、公开传记 |
+| 8 | Meryl Streep | [Astro.com 同站 AA 索引](https://www.astro.com/adbvip/adbvip_06_22.htm)；BC/BR in hand | 电影学院官方、院校档案、公开传记 |
+| 9 | Johnny Depp | [Astro-Databank](https://www.astro.com/astro-databank/Depp,_Johnny)；BC/BR in hand | 电影机构档案、可核实公开记录、可靠新闻 |
+| 10 | Leonardo DiCaprio | [Astro-Databank](https://www.astro.com/astro-databank/DiCaprio,_Leonardo)；BC/BR in hand | 电影学院官方、联合国公开档案、公开传记 |
+| 11 | Albert Camus | [Astro-Databank](https://www.astro.com/astro-databank/Camus,_Albert)；Quoted BC/BR | 诺贝尔官方、出版档案、公开传记 |
+| 12 | Jean-Paul Sartre | [Astro-Databank](https://www.astro.com/astro-databank/Sartre,_Jean-Paul)；BC/BR in hand | 诺贝尔官方、院校/出版档案、公开传记 |
+| 13 | Simone de Beauvoir | [Astro-Databank](https://www.astro.com/astro-databank/Beauvoir,_Simone_de)；BC/BR in hand | 文学奖/出版档案、院校档案、公开传记 |
+| 14 | Victor Hugo | [Astro-Databank](https://www.astro.com/astro-databank/Hugo,_Victor)；BC/BR in hand | 国家图书馆/议会档案、公开传记 |
+| 15 | Marcel Proust | [Astro-Databank](https://www.astro.com/astro-databank/Proust,_Marcel)；BC/BR in hand | 文学奖/出版档案、公开传记 |
+| 16 | Marion Cotillard | [Astro-Databank](https://www.astro.com/astro-databank/Cotillard,_Marion)；Quoted BC/BR | 电影学院/电影节官方、可靠新闻、公开传记 |
+| 17 | Juliette Binoche | [Astro-Databank](https://www.astro.com/astro-databank/Binoche,_Juliette)；Quoted BC/BR | 电影学院/电影节官方、可靠新闻、公开传记 |
+| 18 | Catherine Deneuve | [Astro-Databank](https://www.astro.com/astro-databank/Deneuve,_Catherine)；Quoted BC/BR | 电影机构档案、可靠新闻、公开传记 |
+| 19 | Alain Delon | [Astro-Databank](https://www.astro.com/astro-databank/Delon,_Alain)；Quoted BC/BR | 电影机构档案、可靠新闻、公开传记 |
+| 20 | Sophie Marceau | [Astro-Databank](https://www.astro.com/astro-databank/Marceau,_Sophie)；Quoted BC/BR | 电影机构档案、可靠新闻、公开传记 |
+| 21 | Jean Dujardin | [Astro-Databank](https://www.astro.com/astro-databank/Dujardin,_Jean)；BC/BR in hand | 电影学院/电影节官方、可靠新闻、公开传记 |
+| 22 | Zinedine Zidane | [Astro-Databank](https://www.astro.com/astro-databank/Zidane,_Zinedine)；BC/BR in hand | FIFA/俱乐部官方、可靠新闻、公开传记 |
+| 23 | Kylian Mbappé | [Astro-Databank](https://www.astro.com/astro-databank/Mbapp%C3%A9,_Kylian)；Quoted BC/BR | FIFA/俱乐部官方、可靠新闻、公开传记 |
+| 24 | Antoine Griezmann | [Astro-Databank](https://www.astro.com/astro-databank/Griezmann,_Antoine)；Quoted BC/BR | FIFA/俱乐部官方、可靠新闻、公开传记 |
+| 25 | Serena Williams | [Astro.com 同站 AA 索引](https://www.astro.com/adbvip/adbvip_09_26.htm)；Quoted BC/BR | WTA/赛事官方、可靠新闻、公开传记 |
+| 26 | Muhammad Ali | [Astro-Databank](https://www.astro.com/astro-databank/Ali,_Muhammad)；BC/BR in hand | 体育机构档案、可靠新闻、公开传记 |
+
+来源类别释义：[Rodden Rating](https://www.astro.com/astro-databank/Help:RR)、[Data Source](https://www.astro.com/astro-databank/Help:DataSource)。备选筛查中非 AA、无法明确核实 AA 的人物不进入此表；不能用关联人物条目的 AA 为目标人物背书。
+
+### 2.2 与既有材料去重
+
+基线 `5049e784` 中 v3 / v4 的人物集合相同，均为以下 20 人：Barack Obama、Angelina Jolie、Tiger Woods、Elizabeth Taylor、Elizabeth Montgomery、Pablo Picasso、Sigmund Freud、Salma Hayek、Steve Reich、Albert Brooks、Paul Ryan、Tom Kennedy、Andrew Windsor、Sean Lennon、Joseph Kennedy III、Kurt Cobain、John Robbins、Chad Everett、Bernd Eichinger、Iwao Takamoto。
+
+本表 26 名候选与上述集合的**人物交集为 0**；不是只比较文件行号或 case_id。正式采集还须按姓名别名、出生来源页归一化身份，与仓库内其他已评分语料、v4 intake、已公开研究报告继续比对：**与 v3/v4 不重叠只是必要条件，不是无曝光证明**。姓名公开也不代表其事件内容可以用于调参。
+
+此备选池存在明显的地区、职业、公共传记可得性偏倚。不能为凑四个领域把多次职业获奖改标成财富、迁居或家庭事件；不能把静态家庭属性塞进事件打分。每人未达到门槛时记为筛查未通过，评分前依协议扩池；不得看成绩后换人。
+
+## 3. 标注协议：沿用 v4 四条，补上真正的封存
+
+沿用 [holdout_v4_build_2026_09_14.md](holdout_v4_build_2026_09_14.md) 的四条约束，但**不继承 v4 的公开评价属性或人物**：
+
+1. **AA 记录**：出生数据只取已复核的公开 Astro-Databank AA 记录及 Source Notes。这里的“沿用”指原样保留来源内容和精度，不是从旧集拷贝人物。来源存在冲突、舍入或日期/时区解释问题时必须留标记；无法裁决不得强选有利于打分的一项。
+2. **独立事件来源**：每人至少 7 件可核实到年月的事件、覆盖至少 4 个现有可评分领域；事件来源可为 Wikipedia、Britannica、诺贝尔/电影学院/体育机构官方、政府/大学档案等。每件至少一处可核实公开来源，且 `independent_of_birth_source=true` 只能在事件来源实际独立于出生源后置真，不能只看 URL 不同。占星网站转述和依赖出生源的循环引用不算独立事件证据。
+3. **工作日期必须核实**：工作日期用经核实的公历，精度忠实于来源。只有年份的事件不能虚填月份来凑本协议的年月门槛；冲突必须由独立复核者裁决并记录，不沿用已被否定的错年。保存最小必要的出处、检索时间、精度、领域、审阅记录，遵守转载许可，不能大段复制受版权保护原文。
+4. **三档半径写在数据集上**：保留对照档 ±10 / ±30 / ±60，不以成绩决定跑哪些档；不把“真值所在簇”预写入可评分输入。正式采集任务还须在揭晓前冻结产品申报中心档 ±15 / ±30 / ±60 / ±120、偏移列表及跨午夜规则，作为独立的申报偏差敏感性附表，不混进真值居中成绩。
+5. **封存**：**v5 建成后，在产出第一份成绩之前不得被任何人读取事件内容做调参**；第一份成绩之后同样不得用 v5 调参。采集者/审核者因工作需要可读取来源，但不能参与基于该材料的打分选择；评分/调参团队只能看到协议、接口形状与另立的开发集。任何越界曝光必须登记，相关人物降为开放诊断材料，不能继续充当未见盲测。
+
+## 4. 角色隔离、封存物与一次揭晓
+
+| 阶段 | 执行角色与可见内容 | 必须保留的证据 |
+| --- | --- | --- |
+| 名单筛查 | 数据采集角色；仅来源资格与既有曝光比对 | 候选/排除清单、资料理由；不得用评分优劣筛选 |
+| 事件标注 | 数据采集角色；出生来源与公开事件 | 每件来源、精度、领域、原始/裁决日期关联；不运行评分 |
+| 独立人审 | 不参与调参的另一名人工审阅者 | 真实 `fresh_biography_audit` 记录；自动化不可自置 `independent_human_reviewed=true` |
+| 冻结 | 评测保管角色 | 固定成员清单、持久分区、数据/事件/标签 SHA-256、来源审阅清单、冻结时间；访问权限与曝光日志 |
+| 评分冻结 | 评分负责人；仅开发集与协议 | 精确 commit、实现文件清单/逐文件及聚合哈希、参数、依赖/引擎版本、并列规则、指标计算和拒绝定义 |
+| 单次完整运行 | 隔离评测运行器 | ranker 输入中无真值标签；所有候选完成排名并持久化结果后才能关联标签；运行日志、退出码与输出哈希 |
+| 揭晓与审阅 | 评测保管角色 + 独立审核者 | 首次全量报告、全部失败/无效项、阈值对照、执行环境与重试台账；不得只展示最佳档 |
+
+建议将未揭晓事件/标签包保存在独立受控存储，不提交到评分开发者可随手读取的工作树；仓库先只保存协议、匿名 manifest 与哈希。谁能读事件、谁能改评分必须分别登记。名单已公开、预训练语料可能包含名人生平等剩余污染风险必须写进报告，不能把访问隔离说成绝对无污染。
+
+- 原始标签与候选排名分离；不得在并列时按接近真值挑选。沿用已冻结的 `_opaque_winner` 式不依赖真值的哈希打破规则。
+- 引擎口径拟固定 `ayanamsa=raman`、`node_mode=mean`；精确分钟排名使用 1 分钟候选步长。若需要与旧 2 分钟研究比较，另列预注册附表，不能合并分母或借用旧成绩。
+- 同一人全部事件只属于一个固定分区，不能通过换 case_id、加事件、修改旧标注来洗成新盲测。
+- 在首次运行前原样登记五项发布阈值和计算定义（top-1、top-3、MAE、误确认率、信息不足正确拒绝率），同时报告区间覆盖、确认覆盖率、真值在候选集中的比例与分母。信息不足子集及拒绝对照必须在揭晓前指定，不能从失败案例反向挑选。
+- `validator` 不通过的人物在评分前排除且列明理由。运行错误不应静默剔除；若是基础设施失败，保留原失败记录并只允许同一冻结实现/数据重跑。若源数据揭晓后发现错误，旧报告标无效/受影响，不删除历史，更不得把修订后的已见案例重新标成从未曝光。
+- BUG-098 要求的稳定分区与校准证据在此具体化为冻结 manifest、访问/曝光日志和独立验收；尚未有这些产物时，不得声称 v5 已建成。现存人审校验规则不能代替这些实际产物。
+
+## 5. 工作量估算与完成门
+
+以下是人工工时估算，不是已经投入的工时。按最终 25 人、每人至少 7 件事件，即至少 **175 件**、每件至少一处可核实公开来源计算；网络读取、资料不足与来源冲突可能使工作量上浮。
+
+| 工作 | 估算依据 | 人工小时 |
+| --- | --- | ---: |
+| AA 原文复核、别名/历史曝光核对及补候选 | 25 人及少量替补的筛查 | 12–24 |
+| 事件检索与首轮标注 | 175 件 × 15–30 分钟 | 44–88 |
+| 独立复核与日期/领域冲突裁决 | 175 件 × 约 7.5–15 分钟 | 22–44 |
+| 封存、权限分离、manifest、试运行接口校验和交接 | 不接触评分结果的工程与审阅 | 8–16 |
+| **合计** | 取整；是人时，不是单人日历工期 | **约 86–172** |
+
+该区间不含新算法开发、不含真实用户招募，也不保证首次备选池全部有四领域资料。资料不足时应扩池或延期，而不是放松独立来源、年月精度、领域或封存标准。正式采集任务须先指定两位独立人工角色及存储访问方案；无人审资源就保持 `blocked`。
+
+完成门（必须全部有证据）：
+
+- [ ] 足量新人物通过 AA 原文、身份去重与历史曝光审计。
+- [ ] 每例事件数/年月精度/领域数达标，逐件独立来源核实，无拼造精度或强改领域。
+- [ ] 双人采集/复核职责真实独立，来源纠错保留前后关联。
+- [ ] 封存 manifest、持久分区、内容哈希和访问日志齐备；评分团队未读事件调参。
+- [ ] 打分实现、参数、半径/偏移、步长、并列规则和五项指标定义在揭晓前固定。
+- [ ] 首次全量运行与独立结果审阅完成，失败与限制不删；不自动打开确认门。
+
+## 6. 遗留与对外边界
+
+1. **真实用户申报偏差分布仍缺失**：需要知情授权、受控账号及独立出生记录的真实用户样本。用户采用候选、满意或认为“说得准”不能当真值；模拟名人偏移也不能替代该分布。后续另立隐私、抽样与标注任务，只发布聚合统计。
+2. **本轮未取得事件材料与人审资源**：本文件只有公开候选来源筛查。AA 原文归档、四领域/年月事件可得性、独立审阅与评分冻结都是未来采集任务的开工/交付条件，不在此冒写已完成。
+3. **来源网络限制**：原文直读返回校验页时，采用公开检索作备选资格线索；不绕过访问控制，不将线索当最终出生源审计。正式采集无法复核就阻塞该人物，不降级纳入。
+4. **数据集外推限制**：公开名人的资料密度、年龄、地区与事件报道方式不同于真实会话。即使 v5 通过，也只证明登记条件下的结果，不能推广到所有用户、更不能承诺唯一出生分钟。
+5. 本轮不再研究“加权重就能分开候选”或“簇合并导致整窗”这两条已被证伪的方向；见 [两轮结论页](rectification_minute_resolution_closure_2026_09_14.md) §6。始终先核口径，再看真值覆盖，不能以收窄区间换取挤出真值。
+
+## Sources
+
+- 人物资格线索：§2 表内 26 个 Astro-Databank / Astro.com 原站链接（检索日期 2026-09-20；最终原文/人审复核尚未完成）。
+- 来源分级：[Astro-Databank Rodden Rating](https://www.astro.com/astro-databank/Help:RR)、[Data Source](https://www.astro.com/astro-databank/Help:DataSource)。
+- 仓库协议依据：[v4 构建协议](holdout_v4_build_2026_09_14.md)、[两轮研究结论](rectification_minute_resolution_closure_2026_09_14.md)、[BUG-098 / BUG-428](../BUG_HISTORY.md)。
diff --git a/docs/tasks/PROGRESS-rectification-validation-20260920.md b/docs/tasks/PROGRESS-rectification-validation-20260920.md
new file mode 100644
index 00000000..4a8425d3
--- /dev/null
+++ b/docs/tasks/PROGRESS-rectification-validation-20260920.md
@@ -0,0 +1,73 @@
+# PROGRESS · 生时校正验证体系补缺（2026-09-20）
+
+## 基线与边界
+
+- 执行基线：远端 `origin/staging = 5049e7847`，任务书基线 `fcad0637` 的后代。主检出保留原分支与未跟踪文件。
+- 工作树：`.worktrees/rectification-validation-20260920`；分支：`codex/rectification-validation-20260920`。
+- 一次性测试基线：`.worktrees/rectification-validation-baseline-20260920`（detached `5049e7847`）。
+- 仅离线评测、契约元数据与记录，不修改打分实现、生产行为、确认门，不提升 main、不改 workflow、不改 DNS。
+- 编号核对：开工 Bug 历史最大号 975；另一任务预留 976/977，本单使用 978–980。
+
+## 决策与任务书偏离
+
+完整核查 `BUG-098`、`BUG-318`、`BUG-427`、`BUG-428`。后两条明确规定已曝光案例不得重新算作独立盲测；任务书 T2 的“首次口径干净的官方盲测”没有在决策记录里授权推翻该红线。因此本轮只做**冻结当前实现的固定口径重跑**，不伪称新独立盲测，不提升官方盲测次数，不改发布六键和确认门。真正的独立验证仍需 T3 所定义的未来 v5；这一部分保持 blocked。
+
+契约刷新需要相应更新旧测试中“当前实现必须等于历史 sidecar”的元数据断言；所有行为断言保留，原值/新值/原因在完成后逐项记录。
+
+## 环境与基线实测
+
+本机无项目 `.venv`；使用 `python`（Python 3.11.7，已有 pytest/swisseph）。`python3` launcher 退出 49。mcp / hypothesis 未安装；不顺带升级依赖。前端复用已安装 node_modules，工作树仅新增未跟踪依赖 junction，不纳入交付。
+
+| 检查 | 基线结果 | 说明 |
+| --- | --- | --- |
+| `pre_work_check.py --remote-timeout 8 --command-timeout 45` | fail | 远端 verified；碎片扫描、适配器检查成功；focused tests 23 pass / 1 fail，镜像路径断言，已见于既有错误台账 |
+| Python 定向 3 文件 | 21 pass / 1 fail | `test_minute_rectification_holdout_validator.py::test_frozen_implementation_hash_matches_manifest` 针对历史 v2 封存哈希失败，不改历史封存值 |
+| 前端 `rectification-confirmation-gate.test.ts` | 7 pass / 0 fail | 后续按相同测试逐项比对 |
+| Python quick | fail | 两侧均在 `interpretation_source_inventory_gate.py` 因缺 mcp 退出 1；46 条缺引用消息逐项相同 |
+| 前端 tsc | 0 error | 基线与修改版均退出 0 |
+| 前端 lint | 0 error / 120 warning | 基线与修改版相同，不顺带改 warning |
+| 前端 npm test（默认并发） | 基线 3470 / 3387 pass / 83 fail | 修改版 3486 / 3409 pass / 77 fail；修改版失败标题为基线子集，0 新增失败；存在文件级环境/资源失败，另做串行补验 |
+| 前端 build | fail | 两侧均为 Turbopack 拒绝指向工作树外的 node_modules junction；Static/gzip 环境缺口，未宣称通过 |
+
+基线/当前前端确认门定向均为 7/7，通过项逐条相同。默认并发全量的通过数量差异不是新增业务测试，只是部分文件级中断减少；不能宣称全部前端测试通过。两侧串行补验在数据库容器等待等长时阶段未产出最终汇总，主动停止，标记未完成而不是通过。完整失败标题对照已保存 `docs/testing/rectification-validation-20260920-results.json`（83 对 77，新增失败 0）。
+
+额外 Python 安全定向：`test_rectification_confirmation_and.py`、`test_rectification_v5_vedastro_validation.py`、`test_repo_privacy_markers.py` 共 **85 passed**。补验清单见 `docs/testing/rectification-validation-20260920.md`。
+
+## 独立验收与复核发现
+
+- 字节级核对：12 个 `frozen_scoring.files` 全部与基线相同；确认门六个 runtime 键值及类型相同；生产 `decision_policy.py` / `sealed_holdout.py`、历史 `_candidate_moments()` 所在文件、`request_from_case()` 所在文件、主 API 与全部 `frontend/src` 均未改。
+- 任务书引用的 `frontend/src/app/page.tsx` 在执行基线已不存在（首页已迁移），因此用整个 `frontend/src` 字节对照证明无新增，不虚报旧路径行数。
+- 独立审查发现首版 T1 只在候选枚举保留跨日日期，矩阵下游的 transition proximity 仍使用统一日期，跨日候选得分有偏差。修复限定在离线组装层：按候选日期分组计算矩阵并回并；不改生产打分文件。首版统计不能作最终证据，须修复后重跑并补真实引擎回归。
+- 中途代理 API 余额错误导致执行和审查中断，用户要求继续后恢复；不把中断当任务完成。一次报告重定向被分类器按覆盖操作拒绝，经确认目标不存在后改为不覆盖的新建获准；另有子代理角色限制要求返回文档文本，由主会话汇总，不修改权限配置。
+
+## 执行状态
+
+- T1：修正版完整 900 组合已完成（20 例 × 15 偏移 × 3 半径，排除 0），JSON 与汇总表落盘。默认半径 ±15 在绝对偏移第 16 个整数分钟开始出窗；±30/60/120 对已测偏移几何包含率可恢复 100%，其中 ±120 仅几何推论、未评分。实际交付覆盖与唯一头名命中另列，不混称准确率。口径 v3、raman/mean、1 分钟、历史打分哈希 `b15d9ea15227cd58`；原生评分扩展哈希 `115c3fbcffdaff49`、研究适配哈希 `8d0c613dc0900adb`。
+- T2：当前实现冻结、20 例固定口径重跑、契约刷新与防复发测试完成；实现代理和独立审查均复算逐例/汇总一致。top-1/top-3（含并列）0.45/0.50、MAE 6.45 分钟，三项未达门槛；误确认率 0、稀疏证据拒绝率 1，确认覆盖 0。独立盲测资格仍 blocked，官方有效试次仍 0；不是新的发布成绩。哈希前缀 `b15d9ea15227cd58`、v3、raman/mean、±10、1 分钟。
+- T3：协议已完成。26 名公开 AA 来源候选，与 v3/v4 的 20 人交集为 0；未采事件、未完成人审、未建成 v5。来源直接访问有校验页限制，只算候选筛查，正式准入须复核 Source Notes。工时估算 86–172 人时。
+- T4：Bug 历史、BLOCKED、研究索引、任务索引、失败对照和补验清单已更新；2026-09-20 产品明确授权 push staging，本批进入交付。远端推送与部署分别核验，不把授权当完成。
+
+## 最终验收结果
+
+| 条目 | 结论 | 证据 |
+| --- | --- | --- |
+| T1 全量偏差评测、四项逐例输出、跨日修正、隐私字段 | 通过 | 900 组合、45 格，参数及评分/研究哈希齐全；汇总从逐例重算一致 |
+| T2 当前实现冻结、重跑归属、契约新鲜度 | 通过 | 独立复算完整报告一致；新鲜度与拒绝漂移测试通过 |
+| T2 新的独立官方盲测 | 未通过 / 资料条件缺口 | 已曝光样本不恢复独立性，官方试次保持 0；任务书措辞不覆盖 BUG-427/428 红线 |
+| T2 指定相关 Python 总集 | 49 passed / 1 failed | 唯一失败是基线同现的历史 v2 哈希断言，错误哈希两侧逐字一致；未削弱断言 |
+| 新增 T1 / T2 与 quick 桥接 | 28 passed | 含桥接重复收集的 14 项，不能算 28 项独立用例 |
+| 确认门与隐私补充 | 通过 | Python 85 passed；前端确认门 7/7 与基线逐项相同；runtime 六键未变 |
+| tsc / lint | 通过 | 两侧 0 error，lint 120 warning 相同 |
+| quick / 全量前端 / 构建 | 环境及既有失败缺口 | 见上述基线对照；不可写全绿、Static 或 gzip 通过 |
+| T3 v5 协议 | 通过（仅协议） | 26 人来源筛查、旧集交集 0、无出生分钟/坐标；v5 未建成，BUG-980 investigating |
+
+## 既有断言调整三栏
+
+| 原值 | 新值 | 原因 |
+| --- | --- | --- |
+| Python 与前端 `current_tree_scorer.implementation_sha256` 绑定历史 post-audit sidecar | 绑定当前冻结重跑的 `frozen_record.implementation_sha256` | 元数据含义是当前树；继续绑旧报告强制过期。新增 freshness 同时验证当前源码，未削弱身份校验 |
+| 官方 flag=false / trial_count=0、六 runtime 键、确认行为 | 原值不变 | 已曝光重跑不获得独立性；新增断言固定此边界 |
+
+## 交付说明
+
+2026-09-20 产品明确要求「push 到 staging」。交付前 fetch 确认远端仍为 `5049e784`，本轮无上游冲突，BUG-978～980 无新增占用；本批实现与记录同次提交交付。推送后另以远端 SHA 核对结果为准；状态板“已合入”仅在远端核对后生效，不代表门禁或部署成功。本批含门禁路径，将触发自动质量门；本机完整 quick/构建缺口仍保留。没有动 main、workflow、DNS、生产资料、依赖和打分参数。
diff --git a/docs/tasks/README.md b/docs/tasks/README.md
index 5b664bbf..27cfd7d5 100644
--- a/docs/tasks/README.md
+++ b/docs/tasks/README.md
@@ -290,7 +290,7 @@
 | — （产品口头拍板，无任务书） | `PROGRESS-settings-ui-20260919.md` | **设置面板布局与资料入口整理**：基线 `4f4cd684`；四分区继续共用固定 `.settings-modal`，桌面导航 176px→200px 并加分隔，内容区增加内边距，表单 cap 440px→560px，导航移除误导性右箭头；账户头像 48px→56px；“添加其他人”移到分组标题操作区。已同步 `frontend/DESIGN.md` 与合同测试；tsc 0、lint 0 error、定向测试 21/21；build 被 Windows Skill runtime symlink 权限阻塞，浏览器走查待受控环境；BUG-970 保持 `investigating` | 待验收 | `codex/settings-ui-20260919` |
 | `TASK-owner-case-purge-20260919.md` | `PROGRESS-owner-case-purge-20260919.md` | **上游库主案例与本机路径残留清除（只含本仓）**：镜像同步带进库主本人案例（敏感案例标识与本机路径）并被 `origin/staging` 命中，涉及无引用的 `versions/` 三快照、前端 fixture、Python 测试、整机扫描台账、会话转录及上游 SKILL 快照。运行时无特判不用动。产品拍板整体删除不留匿名版；fixture 统一虚构常量；`import_yinduzhanxing.py` 加隐私排除项 + 新增仓库级隐私守卫测试；上游 SKILL 快照等库主清完再重导入（BLOCKED 记录）。上游仓的清理指令另见 `UPSTREAM-INSTRUCTION-owner-case-purge-20260919.md`（交给库主，不在本仓执行）。BUG-972/973 | **已验收通过（2026-09-20，`497798ac`）；未合入 staging，等产品放行** | 两轮：首轮未通过（1 个隐私守卫冲突：新增路径规则与答案键守卫冲突，该守卫在快速门 glob 内，合入会让门禁红）→ 修复单 `TASK-owner-case-purge-fix2-20260919.md` → `497798ac` 通过。Claude 在 Linux 全依赖环境独立复验：快速门 Python 步 859 passed / 0 failed（上一轮就是这步红），Python 全量 63 红与基线逐条相同、0 新红，收集数与删除清单已记录；tsc 0 / lint 0 error、120 warning 同基线 / `npm test` 失败清单为基线子集（少 1 条工作流 YAML，非回归）/ `○ /` Static、首屏 gzip 与基线字节相同（前端自首轮提交起零改动）。上游指令文件已逐字节还原为基线原文；12 个已删测试名与计数已落进度记录；BLOCKED 两条已划掉。校正 Skill 哈希包、注册表、上游快照、`frontend/src`、主 API 全程 0 改动；库主本机用户名 0 命中。遗留 P3：进度记录和 BUG 状态文字待后续对账修正 |
 | `TASK-consult-smalltalk-fastpath-20260920.md` | — | **普通对话寒暄轮快速通道**：真机一句「你好」触发完整窗口排盘（活动面板「已完成 4 步」）+ `## 先回答你的问题` + 400 字判词 + 扣 1 点。三层叠加：`index.ts` 两处「every turn 必调排盘」（BUG-922）与 `contractReady()` 的 `requireTool` 把排盘变成硬合同；`product-voice.ts` OPENER SHAPE 标「三种模式共用」；唯一的 chit-chat 豁免句只在 `natalSpokenReportContract` 里、只拼进本命 Agent（BUG-977）。计费侧「写回复」与「扣点」绑在 `complete_consultation_response` 同一次调用，`cancel` 只退款不写消息，所以今天没有「不扣点但保留对话」的通道。**产品拍板 a：不扣点、不排盘、回一句白话**；**分流不得用正则/关键词/长度阈值**，改为进 Agent 之前一次极短的结构化模型调用（复用本轮已选模型），fail-open 一律落回完整路径；BUG-922/923 的三处合同一个字不改；新增 `complete_consultation_free` 迁移。BUG-976/977 | 待领取 | — |
-| `TASK-rectification-validation-integrity-20260920.md` | — | **生时校正验证体系补缺（纯离线评测，不改打分不改产品）**：会议要求把「推断真实出生时间」与「用户认可的参考盘」分开证明。核对结论——**产品口径侧四条已落地**（`accepted`≠`confirmed` 两条写入路径、确认门 fail-closed 且 `holdout` 为 `not_ready` 使 `confirmation_allowed` 不可能为真、采用不写 `reported_birth_time`、无任何把采用率当准确率的指标；运行时也无按生日走捷径的分支）；**缺口全在评测本身**。三条：① 封存契约 `rectification_sealed_holdout.v1.json` 的三个打分哈希互不相同（封存 `f41c298d` / 契约记录 `99730c84` / 基线实测 `b15d9ea1`），`official_eval_trial_count: 0`——当前实现**从未产出过一次有效官方盲测**，唯一跑过那次已被资料审计作废（top-1 `0.15`，发布门要 `0.60`），可见的 `0.45` 自带「不得当发布指标」标记（BUG-978）；② 全部离线评测的候选窗**以真值为圆心**（`_candidate_moments()`、`request_from_case()` 的 `true_time`），生产以申报时间为圆心（`ENGINE_SEARCH_RADIUS_MINUTES = 15`）——「真值掉出窗外」这一失败模式从不可见（BUG-979）；③ v3 封存但每例仅 3 事件、v4 有 7+ 事件却已被看过并用于调参，**无口径干净又贴近真实会话的封存集**；六题回放的 `0.80/0.55/0.35` 是「真值方向最优答」的上帝视角上界，±30/±60 仍低于发布门（BUG-980）。T1 申报偏差敏感性 sweep、T2 有效重跑 + 契约对齐 + **防复发新测试**、T3 只出 v5 采集协议、T4 记录。**硬红线：不得改 12 个打分文件、不得用封存集调参、不得把 `status` 改 `ready`。** 家庭信息（父母职业/兄弟姐妹）在拿到基线数字前不开工——现有七领域全是带日期事件，静态属性没有输入口。前置：owner-case-purge 三提交仍未合入 staging。BUG-978～980 | 待领取 | — |
+| `TASK-rectification-validation-integrity-20260920.md` | `PROGRESS-rectification-validation-20260920.md` | **生时校正验证体系补缺（纯离线评测，不改打分不改产品）**：会议要求把「推断真实出生时间」与「用户认可的参考盘」分开证明。核对结论——**产品口径侧四条已落地**（`accepted`≠`confirmed` 两条写入路径、确认门 fail-closed 且 `holdout` 为 `not_ready` 使 `confirmation_allowed` 不可能为真、采用不写 `reported_birth_time`、无任何把采用率当准确率的指标；运行时也无按生日走捷径的分支）；**缺口全在评测本身**。三条：① 封存契约 `rectification_sealed_holdout.v1.json` 的三个打分哈希互不相同（封存 `f41c298d` / 契约记录 `99730c84` / 基线实测 `b15d9ea1`），`official_eval_trial_count: 0`——当前实现**从未产出过一次有效官方盲测**，唯一跑过那次已被资料审计作废（top-1 `0.15`，发布门要 `0.60`），可见的 `0.45` 自带「不得当发布指标」标记（BUG-978）；② 全部离线评测的候选窗**以真值为圆心**（`_candidate_moments()`、`request_from_case()` 的 `true_time`），生产以申报时间为圆心（`ENGINE_SEARCH_RADIUS_MINUTES = 15`）——「真值掉出窗外」这一失败模式从不可见（BUG-979）；③ v3 封存但每例仅 3 事件、v4 有 7+ 事件却已被看过并用于调参，**无口径干净又贴近真实会话的封存集**；六题回放的 `0.80/0.55/0.35` 是「真值方向最优答」的上帝视角上界，±30/±60 仍低于发布门（BUG-980）。T1 申报偏差敏感性 sweep、T2 有效重跑 + 契约对齐 + **防复发新测试**、T3 只出 v5 采集协议、T4 记录。**硬红线：不得改 12 个打分文件、不得用封存集调参、不得把 `status` 改 `ready`。** 家庭信息（父母职业/兄弟姐妹）在拿到基线数字前不开工——现有七领域全是带日期事件，静态属性没有输入口。前置：owner-case-purge 三提交仍未合入 staging。BUG-978～980 | 已合入（本批远端 SHA 核对后生效）；独立盲测仍 blocked，门禁/部署待核验 | `codex/rectification-validation-20260920`；900 组合、当前冻结重跑、v5 协议完成；新增/桥接 28 pass，相关总集49 pass/1基线失败，确认门不变；2026-09-20 产品授权 push staging，同批交付，详见进度 |
 
 ## 命名与归档
 
diff --git a/docs/testing/rectification-validation-20260920-results.json b/docs/testing/rectification-validation-20260920-results.json
new file mode 100644
index 00000000..4ea80668
--- /dev/null
+++ b/docs/testing/rectification-validation-20260920-results.json
@@ -0,0 +1,193 @@
+{
+  "baseline_commit": "5049e7847",
+  "scope": "frontend_default_parallel_npm_test",
+  "counts": {
+    "baseline": {
+      "tests": 3470,
+      "pass": 3387,
+      "fail": 83,
+      "skipped": 0
+    },
+    "current": {
+      "tests": 3486,
+      "pass": 3409,
+      "fail": 77,
+      "skipped": 0
+    }
+  },
+  "failure_titles": {
+    "baseline": [
+      "Better Auth supports shared user OTP/password sessions for admins",
+      "Owner recovery grants only one currently loginable synced identity admin",
+      "PR-4 candidate decisions use server UUIDs, receipt-derived gates and separate acceptance/confirmation",
+      "a multi-domain plan carries every executed route's checklist once",
+      "a route the skill declares no checklist for is reported, not filled in with another route's",
+      "admin code functions reject immutable codes, revoked redemption, and roll back on audit failure",
+      "admin customer reset clears only rebuildable application state",
+      "append_consultation_question ignores thinking fields and enforces the physical JSON cap",
+      "billing order adjustments and redemption reasons are atomic and audited",
+      "billing, subscriptions, usage authorization, RBAC, and model publication remain transactional",
+      "block_scan RPCs are service_role-only and advance a declared period",
+      "candidate scores stay out of the specified client ownership boundary",
+      "changed staging workflows are syntactically valid YAML",
+      "checked-in registry verifies hashed product packages and leaves consult on the live skill",
+      "creates every absent backup path component privately despite a permissive caller umask",
+      "database drops secret refs, generates immutable codes, and invalidates evidence after key rotation",
+      "database env validator accepts a private valid file without printing values",
+      "database env validator accepts punctuated literal required secrets",
+      "database env validator enforces an explicit staging owner uid without printing values",
+      "database env validator rejects symlinks and unsafe modes",
+      "document v2 and durable job migrations are exact db/supabase mirrors",
+      "document v2 migration preserves v1 reads and adds explicit product depth",
+      "durable job migration atomically enqueues reports and exposes lease RPCs only to service_role",
+      "durable job migration defines the complete state, lease, retry, and identity contract",
+      "every color token used as a Tailwind utility is exposed through @theme",
+      "find enumeration failures preserve existing backups and do not report completion",
+      "first immutable deployment rolls back to validated local image IDs",
+      "further reading offers the references the skill names, and only ones that exist",
+      "general agent runtime has no Jyotish skill package and no personal chart tool",
+      "health uses the skill's health-timing-strict checklist",
+      "immutable Skill migration enforces RPC-only identity, legacy adoption, and cascade-safe receipts",
+      "ingest P0: education kinds, batch confirm, opening focus reuse, precision lock",
+      "is-docs-only-range.sh decides from local history and refuses non-ancestor ranges",
+      "job migration mirror is exact and preserves personal_reports as the document projection",
+      "live consult skill reads a hand-updated tree without a registry hash",
+      "live staging sync preserves env, state, incoming files, and encrypted backups",
+      "live staging sync repairs nested deploy-tree drift without preserving foreign ownership",
+      "local PostgreSQL applies the reviewed business schema and serves authenticated business calls",
+      "longform appendices are owner-read, service-written, and never change report status",
+      "no plan can spend the answer's context on method",
+      "operation-level admin email reauthentication is removed from routes and UI",
+      "path traversal and symlink escape fail closed",
+      "personal Agent exposes the Jyotish Skill and named server tool",
+      "personal report job migration is atomic, lease-bound, recoverable, and owner read-only",
+      "personal report sections enforce owner-read RLS and service-owned durable transitions",
+      "personal_reports.card_summary is nullable, owner-read, service-written, and length-capped",
+      "production env validators accept only self-hosted production selectors and role URLs",
+      "public code never imports the internal dynamic choice contract",
+      "read_report_candidate_range is service_role-only, returns only the window, and stays empty without rows",
+      "rectification agent maps setup failures without calling the rest of the handler",
+      "redeem security: case-sensitive hashing, rate limiting, idempotency and order ownership",
+      "refuses full disks and removes a failed-pipeline partial file",
+      "rejects a direct canonical sticky shared backup directory before chmod",
+      "rejects destructive backup directory aliases and symlink components before mutation",
+      "rejects unsafe writable backup parents before creating the target",
+      "same-second backups publish once without overwriting the completed archive",
+      "saving a published product forks a draft and delete retires or removes it",
+      "self-hosted identity migration creates Better Auth tables with least privilege",
+      "service and restricted admin database identities stay separated",
+      "staging backups are encrypted, atomic, private, and retain the newest three",
+      "staging env validator rejects selector drift, duplicates, and unsafe permissions",
+      "staging model provider env preparation removes legacy settings and keeps one stable key",
+      "symbolic links are rejected even when their target stays inside the project root",
+      "tests\\\\birth-time-guide-agent.test.ts",
+      "tests\\\\consultation-workflow-request.test.ts",
+      "tests\\\\rectification-confirmation-gate.test.ts",
+      "tests\\\\rectification-settled-render-split.test.ts",
+      "tests\\\\rectification-skipped-health-deadend-20260909.test.ts",
+      "tests\\\\rectification-split-holdout.test.ts",
+      "tests\\\\rectification-spoken-prompt.test.ts",
+      "tests\\\\rectification-v9-agent.test.ts",
+      "tests\\\\skill-binding.test.ts",
+      "the delivered method is quoted from the live skill tree",
+      "the route's own strict checklist reaches the answer, not just the package listing",
+      "the widest legal plan still fits the budget",
+      "v9 agent api migration applies, seeds the runtime flag and guards consent",
+      "v9 enforces profile gating, ownership and terminal read-only",
+      "v9 evidence lifecycle: quote grounding, idempotency, confirm and revision lineage",
+      "v9 ignores a historical active minute and allows reselection within the live result",
+      "v9 legacy backfill maps statuses, keeps one resumable per user and is idempotent",
+      "v9 migration applies on a fresh database and re-applies idempotently",
+      "v9 open is atomic, idempotent and allows separate homepage cases",
+      "wealth uses finance-timing-strict as the live checklist, with the wealth alias in the heading"
+    ],
+    "current": [
+      "Better Auth supports shared user OTP/password sessions for admins",
+      "Owner recovery grants only one currently loginable synced identity admin",
+      "PR-4 candidate decisions use server UUIDs, receipt-derived gates and separate acceptance/confirmation",
+      "a multi-domain plan carries every executed route's checklist once",
+      "a route the skill declares no checklist for is reported, not filled in with another route's",
+      "admin code functions reject immutable codes, revoked redemption, and roll back on audit failure",
+      "admin customer reset clears only rebuildable application state",
+      "append_consultation_question ignores thinking fields and enforces the physical JSON cap",
+      "billing order adjustments and redemption reasons are atomic and audited",
+      "billing, subscriptions, usage authorization, RBAC, and model publication remain transactional",
+      "block_scan RPCs are service_role-only and advance a declared period",
+      "candidate scores stay out of the specified client ownership boundary",
+      "changed staging workflows are syntactically valid YAML",
+      "checked-in registry verifies hashed product packages and leaves consult on the live skill",
+      "creates every absent backup path component privately despite a permissive caller umask",
+      "database env validator accepts a private valid file without printing values",
+      "database env validator accepts punctuated literal required secrets",
+      "database env validator enforces an explicit staging owner uid without printing values",
+      "database env validator rejects symlinks and unsafe modes",
+      "document v2 and durable job migrations are exact db/supabase mirrors",
+      "document v2 migration preserves v1 reads and adds explicit product depth",
+      "durable job migration atomically enqueues reports and exposes lease RPCs only to service_role",
+      "durable job migration defines the complete state, lease, retry, and identity contract",
+      "every color token used as a Tailwind utility is exposed through @theme",
+      "find enumeration failures preserve existing backups and do not report completion",
+      "first immutable deployment rolls back to validated local image IDs",
+      "further reading offers the references the skill names, and only ones that exist",
+      "general agent runtime has no Jyotish skill package and no personal chart tool",
+      "health uses the skill's health-timing-strict checklist",
+      "immutable Skill migration enforces RPC-only identity, legacy adoption, and cascade-safe receipts",
+      "ingest P0: education kinds, batch confirm, opening focus reuse, precision lock",
+      "is-docs-only-range.sh decides from local history and refuses non-ancestor ranges",
+      "job migration mirror is exact and preserves personal_reports as the document projection",
+      "live consult skill reads a hand-updated tree without a registry hash",
+      "live staging sync preserves env, state, incoming files, and encrypted backups",
+      "live staging sync repairs nested deploy-tree drift without preserving foreign ownership",
+      "local PostgreSQL applies the reviewed business schema and serves authenticated business calls",
+      "longform appendices are owner-read, service-written, and never change report status",
+      "no plan can spend the answer's context on method",
+      "operation-level admin email reauthentication is removed from routes and UI",
+      "path traversal and symlink escape fail closed",
+      "personal Agent exposes the Jyotish Skill and named server tool",
+      "personal report job migration is atomic, lease-bound, recoverable, and owner read-only",
+      "personal report sections enforce owner-read RLS and service-owned durable transitions",
+      "personal_reports.card_summary is nullable, owner-read, service-written, and length-capped",
+      "production env validators accept only self-hosted production selectors and role URLs",
+      "public code never imports the internal dynamic choice contract",
+      "read_report_candidate_range is service_role-only, returns only the window, and stays empty without rows",
+      "rectification agent maps setup failures without calling the rest of the handler",
+      "redeem security: case-sensitive hashing, rate limiting, idempotency and order ownership",
+      "refuses full disks and removes a failed-pipeline partial file",
+      "rejects a direct canonical sticky shared backup directory before chmod",
+      "rejects destructive backup directory aliases and symlink components before mutation",
+      "rejects unsafe writable backup parents before creating the target",
+      "same-second backups publish once without overwriting the completed archive",
+      "saving a published product forks a draft and delete retires or removes it",
+      "self-hosted identity migration creates Better Auth tables with least privilege",
+      "service and restricted admin database identities stay separated",
+      "staging backups are encrypted, atomic, private, and retain the newest three",
+      "staging env validator rejects selector drift, duplicates, and unsafe permissions",
+      "staging model provider env preparation removes legacy settings and keeps one stable key",
+      "symbolic links are rejected even when their target stays inside the project root",
+      "tests\\\\birth-time-guide-agent.test.ts",
+      "tests\\\\consultation-workflow-request.test.ts",
+      "tests\\\\rectification-v9-agent.test.ts",
+      "tests\\\\skill-binding.test.ts",
+      "the delivered method is quoted from the live skill tree",
+      "the route's own strict checklist reaches the answer, not just the package listing",
+      "the widest legal plan still fits the budget",
+      "v9 agent api migration applies, seeds the runtime flag and guards consent",
+      "v9 enforces profile gating, ownership and terminal read-only",
+      "v9 evidence lifecycle: quote grounding, idempotency, confirm and revision lineage",
+      "v9 ignores a historical active minute and allows reselection within the live result",
+      "v9 legacy backfill maps statuses, keeps one resumable per user and is idempotent",
+      "v9 migration applies on a fresh database and re-applies idempotently",
+      "v9 open is atomic, idempotent and allows separate homepage cases",
+      "wealth uses finance-timing-strict as the live checklist, with the wealth alias in the heading"
+    ]
+  },
+  "new_failures": [],
+  "not_claiming_full_pass": true,
+  "serial_followup": "stopped_without_final_summary_while_database_fixture_waited",
+  "build_both": "Turbopack rejects external node_modules junction",
+  "tsc_both_exit_code": 0,
+  "lint_both": {
+    "errors": 0,
+    "warnings": 120
+  }
+}
diff --git a/docs/testing/rectification-validation-20260920.md b/docs/testing/rectification-validation-20260920.md
new file mode 100644
index 00000000..847d01d1
--- /dev/null
+++ b/docs/testing/rectification-validation-20260920.md
@@ -0,0 +1,24 @@
+# 生时校正验证补缺 · 补验清单（2026-09-20）
+
+本轮无产品/界面/数据库行为改动。不要让用户提供私人出生资料以补本轮验收；偏移评测使用已登记公开数据。
+
+## 在完整依赖的 Linux 环境补验
+
+1. 用本轮提交创建干净工作树，安装仓库锁定依赖，不借用其他账号/凭据。
+2. 运行 `python scripts/pre_work_check.py --remote-timeout 8 --command-timeout 45`。本机已知基线碎片镜像断言失败，不能以远端 verified 代替预检通过。
+3. 运行 `python -m pytest tests/test_reported_offset_research.py tests/test_sealed_holdout_contract_freshness.py tests/test_rectification_validation_integrity_gate.py tests/test_rectification_confirmation_and.py tests/test_minute_rectification_holdout_validator.py tests/test_minute_rectification_fact_blind_eval_v4.py -q`。旧 v2 封存哈希测试在基线已失败，不改历史值来消除失败。
+4. 运行 `python scripts/run_quality_gate.py --profile quick`；Windows 本机在 source inventory 检查因缺 mcp 阻塞。完整输出与同基线逐项比对，不把“新增回归通过”写成“整个快速门通过”。
+5. 前端运行 `tsc --noEmit`、`npm run lint`、`npm test`、`npm run build`；单独确认 `rectification-confirmation-gate.test.ts` 全绿。构建必须得到完整 `/` Static 与首屏 gzip 产物再比较，不能以未修改业务代码替代。
+6. 核对冻结的 12 个打分文件与执行基线字节相同，`status=not_ready`、`confirmation_coverage_rate=0`、官方独立盲测次数仍为零。
+
+## 交付后才执行
+
+- 获准推 staging 后，检查 Gitea 的对应 SHA 门禁和部署；不参考只读 GitHub 镜像。
+- 核对 `/api/health` 的 `deployment.gitCommit` 为最近含门禁路径改动的 staging SHA；若之后仅文档提交，另跑 docs-only-range 验证。
+- 未部署不得写“线上验证通过”。本轮不提升 main。
+
+## 研究遗留（不是软件环境补齐就能解决）
+
+- 新独立盲测必须等待未曝光 v5 的独立标注、人审、封存与预注册；v3 重跑不能替代。
+- 真实申报偏差分布需要受控用户样本、独立出生记录与合规授权。本轮敏感性表不代表真实用户总体表现。
+- v5 备选人物只是候选筛选，不是资料已经采集完毕或人审已通过。
diff --git a/frontend/tests/rectification-confirmation-gate.test.ts b/frontend/tests/rectification-confirmation-gate.test.ts
index d59fcf2b..b662504b 100644
--- a/frontend/tests/rectification-confirmation-gate.test.ts
+++ b/frontend/tests/rectification-confirmation-gate.test.ts
@@ -81,6 +81,13 @@ const diagnosticReport = JSON.parse(readFileSync(
     verified_minute_claim_allowed: boolean;
   };
 };
+const currentTreeRerun = JSON.parse(readFileSync(
+  new URL("../../docs/research/sealed_holdout_rerun_2026_09_20.json", import.meta.url),
+  "utf8",
+)) as {
+  frozen_record: { implementation_sha256: string };
+  official_valid_independent_blind: boolean;
+};
 type ProductHoldoutContract = typeof SEALED_MINUTE_HOLDOUT & {
   metrics_produced_by: {
     implementation_sha256: string;
@@ -190,10 +197,16 @@ test("sealed holdout aggregates match the v3 report and still block confirmation
     productHoldout.metrics_produced_by.source_report,
     "references/real_case_calibration/minute_rectification_holdout_v3_report.json",
   );
+  // 原值: 历史 sidecar 哈希 / 新值: 当前冻结重跑哈希 / 原因: BUG-978 身份新鲜度，不改变确认门。
   assert.equal(
     productHoldout.current_tree_scorer.implementation_sha256,
-    diagnosticReport.frozen_scoring.actual_sha256,
+    currentTreeRerun.frozen_record.implementation_sha256,
   );
+  assert.equal(
+    productHoldout.current_tree_scorer.source_report,
+    "docs/research/sealed_holdout_rerun_2026_09_20.json",
+  );
+  assert.equal(currentTreeRerun.official_valid_independent_blind, false);
   assert.equal(productHoldout.current_tree_scorer.matches_metrics_scorer, false);
   assert.equal(productHoldout.current_tree_scorer.official_eval_implementation_hash_matches, false);
   assert.equal(productHoldout.current_tree_scorer.official_eval_trial_count, diagnosticReport.trial_count);
diff --git a/references/rectification_sealed_holdout.v1.json b/references/rectification_sealed_holdout.v1.json
index aecebb18..ab2ff8e3 100644
--- a/references/rectification_sealed_holdout.v1.json
+++ b/references/rectification_sealed_holdout.v1.json
@@ -8,8 +8,10 @@
   "previous_pilot_id": "minute_rectification_holdout_v2",
   "dataset_path": "references/real_case_calibration/minute_rectification_holdout_v3.json",
   "report_path": "references/real_case_calibration/minute_rectification_holdout_v3_report.json",
-  "source_audit_status": "invalidated_after_replay",
-  "evaluated_on": "2026-07-21",
+  "source_audit_status": "corrected_known_date_errors",
+  "evaluated_on": "2026-09-20",
+  "evaluated_on_scope": "latest_fixed_protocol_rerun_not_historical_runtime_metrics",
+  "historical_source_audit_status": "invalidated_after_replay",
   "report_status": "invalidated_after_source_audit",
   "trial_count": 20,
   "top_3_rate": 0.25,
@@ -22,11 +24,40 @@
     "evaluated_on": "2026-07-21"
   },
   "current_tree_scorer": {
-    "implementation_sha256": "99730c84c6434f52669a05e4d9a4a87df0a218e3237b5436b933252f2028384e",
+    "implementation_sha256": "b15d9ea15227cd58b3097555537fa7c37fb5a993905ada4f5aa04f52de1f8f18",
     "matches_metrics_scorer": false,
     "official_eval_implementation_hash_matches": false,
     "official_eval_trial_count": 0,
-    "source_report": "references/real_case_calibration/minute_rectification_holdout_v3_post_audit_diagnostic_report.json"
+    "source_report": "docs/research/sealed_holdout_rerun_2026_09_20.json",
+    "fixed_protocol_rerun_trial_count": 20,
+    "fixed_protocol_rerun_hash_matches": true,
+    "metrics": {
+      "top_1_rate": 0.45,
+      "top_3_rate": 0.5,
+      "mean_absolute_minute_error": 6.45,
+      "false_confirmation_rate": 0.0,
+      "correct_insufficient_evidence_rejection_rate": 1.0,
+      "confirmation_coverage_rate": 0.0
+    }
+  },
+  "current_tree_fixed_protocol_rerun": {
+    "evaluated_on": "2026-09-20",
+    "report_path": "docs/research/sealed_holdout_rerun_2026_09_20.json",
+    "freeze_record_path": "docs/research/sealed_holdout_rerun_2026_09_20.freeze.json",
+    "implementation_sha256": "b15d9ea15227cd58b3097555537fa7c37fb5a993905ada4f5aa04f52de1f8f18",
+    "scorer_frozen_before_rerun": true,
+    "source_audit_status": "corrected_known_date_errors",
+    "trial_count": 20,
+    "official_valid_independent_blind": false,
+    "is_blind_evaluation": false,
+    "truth_hidden_from_ranker": true,
+    "results_previously_seen": true,
+    "must_not_claim_as_release_metrics": true,
+    "must_not_use_for_tuning": true,
+    "verified_minute_claim_allowed": false,
+    "metric_gates_passed": false,
+    "events_per_case": 3,
+    "boundary": "First current-hash fixed-protocol rerun in this task, not a first independent official blind evaluation. Three-event low-information protocol is not representative of real sessions and is not a mathematical accuracy lower bound. Historical v3/v4 score exposure requires a fresh sealed set."
   },
   "current_tree_unfrozen_diagnostic": {
     "is_blind_evaluation": false,
diff --git a/scripts/research/reported_offset_sweep.py b/scripts/research/reported_offset_sweep.py
new file mode 100644
index 00000000..4f1a2429
--- /dev/null
+++ b/scripts/research/reported_offset_sweep.py
@@ -0,0 +1,211 @@
+#!/usr/bin/env python3
+"""Reported-centre sensitivity on exposed public cases, without oracle answers."""
+from __future__ import annotations
+
+import argparse
+import json
+import sys
+from datetime import datetime, timedelta
+from pathlib import Path
+from typing import Any
+
+ROOT = Path(__file__).resolve().parents[2]
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+from scripts.active_rectification_event_engine import (
+    AYANAMSA, NODE_MODE, compute_candidate_static_contexts,
+)
+from scripts.minute_rectification_blind_eval import _opaque_winner, implementation_sha256
+from scripts.minute_rectification_holdout_validator import validate
+from scripts.rectification.candidate_contrast import select_signature_representatives
+from scripts.rectification.scoring_service import build_event_contribution_matrix, score_from_matrix
+from scripts.research.cluster_width_lib import SEPARATION_LEAD, still_valid_public
+from scripts.research.probe_supply_after_six import request_from_case
+from scripts.research.sealed_holdout_rerun import DATASET, file_sha256, opaque_order
+
+OFFSETS = (-30, -20, -15, -10, -8, -5, -3, 0, 3, 5, 8, 10, 15, 20, 30)
+RADII = (15, 30, 60)
+MINUTE_STEP = 1
+PRODUCTION_FILES = [
+    "scripts/rectification/scoring_service.py",
+    "scripts/rectification/dasha_transition_proximity.py",
+    "scripts/rectification/candidate_contrast.py",
+    "scripts/rectification/case_holdout.py",
+    "scripts/rectification/contracts.py",
+    "scripts/rectification/event_probes.py",
+]
+RESEARCH_FILES = [
+    "scripts/research/reported_offset_sweep.py",
+    "scripts/research/cluster_width_lib.py",
+    "scripts/research/probe_supply_after_six.py",
+    "scripts/research/sealed_holdout_rerun.py",
+    "scripts/minute_rectification_blind_eval.py",
+]
+
+
+def shifted_window(case: dict[str, Any], offset: int, radius: int) -> tuple[dict[str, Any], list[datetime]]:
+    if radius not in (*RADII, 120):
+        raise ValueError("unsupported_radius")
+    true_at = datetime.fromisoformat(f"{case['birth']['date']}T{case['birth']['time']}:00")
+    reported_at = true_at + timedelta(minutes=offset)
+    start = reported_at - timedelta(minutes=radius)
+    end = reported_at + timedelta(minutes=radius)
+    candidates = [start + timedelta(minutes=i) for i in range(0, radius * 2 + 1, MINUTE_STEP)]
+    # Reuse only the established event normalization, then replace the window.
+    # The ranker sees neither the truth label nor the simulated offset.
+    request = request_from_case(case)
+    request.update({
+        "birth_date": start.date().isoformat(),
+        "start_time": start.strftime("%H:%M"),
+        "end_time": end.strftime("%H:%M"),
+        "minute_step": MINUTE_STEP,
+        "ayanamsa": AYANAMSA,
+        "node_mode": NODE_MODE,
+    })
+    return request, candidates
+
+
+def score_window(request: dict[str, Any], contexts: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    """Keep auxiliary transition anchors on each candidate's actual date.
+
+    The production matrix's transition-proximity helper accepts one birth date
+    per call, unlike the static chart layer which reads candidate_at. Grouping
+    is only an offline adapter; it does not change the production scorer.
+    """
+    by_date: dict[str, list[dict[str, Any]]] = {}
+    for context in contexts:
+        by_date.setdefault(context["candidate_at"].date().isoformat(), []).append(context)
+    by_time = {}
+    for candidate_date, group in by_date.items():
+        dated_request = {**request, "birth_date": candidate_date}
+        built = build_event_contribution_matrix(dated_request, static_contexts=group)
+        by_time.update({row["time"]: row for row in score_from_matrix(dated_request, built)})
+    return [by_time[context["candidate_at"].strftime("%H:%M")] for context in contexts]
+
+
+def delivery_moments(public: list[dict[str, Any]], candidates: list[datetime]) -> list[datetime]:
+    """Initial delivery envelope in date-aware order; no truth-based narrowing."""
+    valid = still_valid_public(public, {}, lead=SEPARATION_LEAD)
+    clocks = {str(value)[:5] for row in valid for value in (row.get("cluster_times") or [row["time"]])}
+    return [candidate for candidate in candidates if candidate.strftime("%H:%M") in clocks]
+
+
+def reveal_metrics(
+    rows: list[dict[str, Any]], candidates: list[datetime], delivery: list[datetime],
+    truth: datetime, benchmark_id: str, case_id: str,
+) -> dict[str, Any]:
+    ordered = opaque_order(benchmark_id, case_id, rows)
+    predicted_clock = _opaque_winner(benchmark_id, case_id, rows)
+    by_clock = {candidate.strftime("%H:%M"): candidate for candidate in candidates}
+    if len(by_clock) != len(candidates):
+        raise ValueError("ambiguous_candidate_clock")
+    predicted = by_clock[predicted_clock]
+    within = min(candidates) <= truth <= max(candidates)
+    in_candidates = truth in candidates
+    rank = next((i for i, row in enumerate(ordered, 1) if by_clock[row["time"]] == truth), None)
+    covered = bool(delivery) and min(delivery) <= truth <= max(delivery)
+    return {
+        "truth_in_window": within,
+        "truth_in_candidates": in_candidates,
+        "true_rank": rank,
+        "top_1_hit": predicted == truth,
+        "top_1_minute_error": abs((predicted - truth).total_seconds()) / 60,
+        "delivery_covers_truth": covered,
+        "candidate_count": len(candidates),
+        "delivery_width_minutes": int((max(delivery) - min(delivery)).total_seconds() / 60) + 1 if delivery else 0,
+    }
+
+
+def summarize(trials: list[dict[str, Any]], radii: tuple[int, ...], offsets: tuple[int, ...]) -> list[dict[str, Any]]:
+    result = []
+    for radius in radii:
+        for offset in offsets:
+            group = [row for row in trials if row["radius_minutes"] == radius and row["offset_minutes"] == offset]
+            count = len(group)
+            result.append({
+                "radius_minutes": radius, "offset_minutes": offset, "trial_count": count,
+                **{key: round(sum(row[source] for row in group) / count, 4) if count else None for key, source in (
+                    ("truth_in_window_rate", "truth_in_window"),
+                    ("top_1_rate", "top_1_hit"),
+                    ("delivery_coverage_rate", "delivery_covers_truth"),
+                    ("mean_absolute_minute_error", "top_1_minute_error"),
+                )},
+            })
+    return result
+
+
+def run(dataset: Path = DATASET, radii: tuple[int, ...] = RADII, offsets: tuple[int, ...] = OFFSETS) -> dict[str, Any]:
+    manifest = json.loads(dataset.read_text(encoding="utf-8"))
+    frozen_files = manifest["frozen_scoring"]["files"]
+    scoring_files = sorted(set(frozen_files + PRODUCTION_FILES))
+    starting_hash = implementation_sha256(scoring_files)
+    validation = validate(dataset)
+    invalid = validation["invalid_cases"]
+    trials = []
+    for index, case in enumerate(manifest["cases"], 1):
+        if case["case_id"] in invalid:
+            continue
+        # Reuse static chart calculations, not window-dependent scores or ranks.
+        contexts_by_moment: dict[datetime, dict[str, Any]] = {}
+        for radius in radii:
+            for offset in offsets:
+                request, candidates = shifted_window(case, offset, radius)
+                missing = [moment for moment in candidates if moment not in contexts_by_moment]
+                if missing:
+                    contexts_by_moment.update(zip(missing, compute_candidate_static_contexts(request, candidates=missing), strict=True))
+                contexts = [contexts_by_moment[moment] for moment in candidates]
+                rows = score_window(request, contexts)
+                public = select_signature_representatives(rows, contexts)
+                delivery = delivery_moments(public, candidates)
+                # All scores and the delivery envelope are locked before reveal.
+                truth = datetime.fromisoformat(f"{case['birth']['date']}T{case['birth']['time']}:00")
+                trials.append({
+                    "case_ordinal": index, "offset_minutes": offset, "radius_minutes": radius,
+                    **reveal_metrics(rows, candidates, delivery, truth, manifest["benchmark_id"], case["case_id"]),
+                })
+    if implementation_sha256(scoring_files) != starting_hash:
+        raise ValueError("scorer_changed_during_sweep")
+    return {
+        "scope": "reported_offset_sensitivity_not_product_accuracy",
+        "specification": {
+            "ayanamsa": AYANAMSA, "node_mode": NODE_MODE,
+            "radii_minutes": list(radii), "offsets_minutes": list(offsets), "minute_step": MINUTE_STEP,
+            "dataset": dataset.relative_to(ROOT).as_posix(), "dataset_sha256": file_sha256(dataset),
+            "dataset_benchmark_id": manifest["benchmark_id"],
+            "implementation_sha256": implementation_sha256(frozen_files),
+            "implementation_sha256_prefix": implementation_sha256(frozen_files)[:16],
+            "production_scoring_files": scoring_files, "production_scoring_sha256": starting_hash,
+            "research_files": RESEARCH_FILES,
+            "research_implementation_sha256": implementation_sha256(RESEARCH_FILES),
+            "hash_scope": "explicit_identity_file_sets_not_a_transitive_dependency_lock",
+            "scorer": "native_event_contribution_matrix_not_shadow_fact_ranker",
+            "delivery": "initial_signature_clusters_peak_gap_lt_8_envelope_no_answers_no_elimination",
+            "rank": "score_desc_then_sha256(benchmark_id:case_id:candidate_time)",
+            "grid": "every_minute_inclusive_not_production_two_minute_sampling",
+            "cross_midnight": "date_aware_candidates_distance_and_matrix_grouped_by_candidate_date",
+            "evaluator_sha256": file_sha256(Path(__file__)),
+            "replay_revision": "candidate_date_grouped_v2",
+            "supersedes": "initial_sweep_invalidated_cross_midnight_transition_anchor",
+            "is_blind_evaluation": False, "truth_hidden_from_ranker": True,
+            "results_previously_seen": True, "must_not_use_for_tuning": True,
+        },
+        "excluded_cases": invalid, "case_count": validation["valid_public_aa_cases"],
+        "trial_count": len(trials), "trials": trials,
+        "summary": summarize(trials, radii, offsets),
+        "widening_geometry": {
+            "scored_radii": list(radii),
+            "radius_120_scored": 120 in radii,
+            "truth_in_window_condition": "abs(reported_offset_minutes) <= radius_minutes",
+            "radius_15_first_integer_minute_outside": 16,
+            "all_tested_offsets_within_radius_30_60_120": max(map(abs, offsets)) <= 30,
+            "boundary": "Geometry rescues candidate inclusion only, not ranking or delivery coverage; no population frequency without a reported-offset distribution.",
+        },
+    }
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--json", action="store_true")
+    args = parser.parse_args()
+    print(json.dumps(run(), ensure_ascii=False, indent=2))
diff --git a/scripts/research/sealed_holdout_rerun.py b/scripts/research/sealed_holdout_rerun.py
new file mode 100644
index 00000000..071655d2
--- /dev/null
+++ b/scripts/research/sealed_holdout_rerun.py
@@ -0,0 +1,153 @@
+#!/usr/bin/env python3
+"""Freeze and replay the exposed v3 corpus; never claim a fresh blind holdout."""
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+
+ROOT = Path(__file__).resolve().parents[2]
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+from scripts.active_rectification_event_engine import AYANAMSA, NODE_MODE
+from scripts.minute_rectification_blind_eval import (
+    _candidate_moments, _clock_distance, _opaque_winner, _request,
+    implementation_sha256, summarize_trials,
+)
+from scripts.minute_rectification_fact_blind_eval_v4 import _would_confirm
+from scripts.minute_rectification_fact_ranker_v4 import (
+    ALGORITHM_VERSION, rank_fact_rows, score_fact_ranker_v4,
+)
+from scripts.minute_rectification_feature_facts_v4 import build_feature_fact_rows
+from scripts.minute_rectification_holdout_validator import validate
+
+DATASET = ROOT / "references/real_case_calibration/minute_rectification_holdout_v3.json"
+FREEZE = ROOT / "docs/research/sealed_holdout_rerun_2026_09_20.freeze.json"
+REPORT = ROOT / "docs/research/sealed_holdout_rerun_2026_09_20.json"
+
+
+def file_sha256(path: Path) -> str:
+    return hashlib.sha256(path.read_bytes()).hexdigest()
+
+
+def opaque_order(benchmark_id: str, case_id: str, rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    """Extend the existing opaque winner to a total, truth-independent ranking."""
+    return sorted(rows, key=lambda row: (
+        -row["score"],
+        hashlib.sha256(f"{benchmark_id}:{case_id}:{row['time']}".encode()).hexdigest(),
+    ))
+
+
+def freeze_record(dataset: Path = DATASET) -> dict[str, Any]:
+    manifest = json.loads(dataset.read_text(encoding="utf-8"))
+    files = manifest["frozen_scoring"]["files"]
+    return {
+        "record_version": "exposed-v3-fixed-protocol-rerun-v1",
+        "frozen_at_utc": datetime.now(timezone.utc).isoformat(),
+        "dataset_path": dataset.relative_to(ROOT).as_posix(),
+        "dataset_sha256": file_sha256(dataset),
+        "algorithm_version": ALGORITHM_VERSION,
+        "implementation_sha256": implementation_sha256(files),
+        "files": files,
+        "historical_frozen_sha256": manifest["frozen_scoring"]["implementation_sha256"],
+        "evaluator_sha256": file_sha256(Path(__file__)),
+        "ayanamsa": AYANAMSA,
+        "node_mode": NODE_MODE,
+        "candidate_radius_minutes": sorted({case["candidate_radius_minutes"] for case in manifest["cases"]}),
+        "minute_step": 1,
+        "release_metrics": manifest["release_metrics"],
+        "results_previously_seen": True,
+        "official_valid_independent_blind": False,
+        "must_not_use_for_tuning": True,
+        "tie_breaker": manifest["frozen_scoring"]["tie_breaker"],
+        "metric_rank_definition": "competition_rank_1_plus_strictly_higher_scores_legacy_protocol",
+        "extra_metric_rank_definition": "score_desc_then_existing_opaque_sha256_total_order",
+    }
+
+
+def run(freeze_path: Path = FREEZE, dataset: Path = DATASET) -> dict[str, Any]:
+    frozen = json.loads(freeze_path.read_text(encoding="utf-8"))
+    actual = freeze_record(dataset)
+    for key in actual:
+        if key != "frozen_at_utc" and actual[key] != frozen.get(key):
+            raise ValueError(f"frozen_record_mismatch:{key}")
+    manifest = json.loads(dataset.read_text(encoding="utf-8"))
+    validation = validate(dataset)
+    invalid = validation["invalid_cases"]
+    trials = []
+    for index, case in enumerate(manifest["cases"], 1):
+        if case["case_id"] in invalid:
+            continue
+        request = _request(case, case["events"])
+        candidates = _candidate_moments(case)
+        facts = build_feature_fact_rows(request, candidates=candidates)
+        rows, _ = rank_fact_rows(facts, request["events"])
+        result = score_fact_ranker_v4(facts, request["events"])
+        predicted = _opaque_winner(manifest["benchmark_id"], case["case_id"], rows)
+        ordered = opaque_order(manifest["benchmark_id"], case["case_id"], rows)
+        sparse_request = _request(case, case["events"][:1])
+        sparse_facts = build_feature_fact_rows(sparse_request, candidates=candidates)
+        sparse_result = score_fact_ranker_v4(sparse_facts, sparse_request["events"])
+        # Truth is revealed only after both full and sparse ranking/decisions.
+        truth = case["birth"]["time"]
+        truth_score = next(row["score"] for row in rows if row["time"] == truth)
+        would_confirm = _would_confirm(result)
+        trials.append({
+            "case_ordinal": index,
+            "candidate_count": len(rows),
+            "event_count": len(request["events"]),
+            "true_rank": 1 + sum(row["score"] > truth_score for row in rows),
+            "opaque_true_rank": next(i for i, row in enumerate(ordered, 1) if row["time"] == truth),
+            "minute_error": _clock_distance(predicted, truth),
+            "would_confirm": would_confirm,
+            "false_confirmation": would_confirm and predicted != truth,
+            "insufficient_evidence_rejected": not _would_confirm(sparse_result),
+            "full_trial_reasons": result["reasons"],
+            "sparse_trial_reasons": sparse_result["reasons"],
+        })
+    aggregate = summarize_trials(trials, manifest["release_metrics"])
+    count = len(trials)
+    return {
+        "scope": "fixed_protocol_previously_exposed_v3_rerun",
+        "evaluated_on": datetime.now(timezone.utc).date().isoformat(),
+        "frozen_record": frozen,
+        "implementation_hash_matches_at_replay": True,
+        "dataset_hash_matches_at_replay": True,
+        "source_audit_status": manifest["source_audit_status"],
+        "validation_status": validation["status"],
+        "valid_public_aa_cases": validation["valid_public_aa_cases"],
+        "excluded_cases": invalid,
+        "trial_count": count,
+        "trials": trials,
+        **aggregate,
+        "opaque_exact_top_1_rate": sum(row["opaque_true_rank"] == 1 for row in trials) / count if count else None,
+        "opaque_exact_top_3_rate": sum(row["opaque_true_rank"] <= 3 for row in trials) / count if count else None,
+        "official_valid_independent_blind": False,
+        "official_blind_trial_count": 0,
+        "is_blind_evaluation": False,
+        "truth_hidden_from_ranker": True,
+        "results_previously_seen": True,
+        "verified_minute_claim_allowed": False,
+        "status": "blocked_independent_blind_evidence",
+        "boundary": "Three-event low-information protocol, not a mathematical accuracy lower bound and not representative of real sessions. Historical v3/v4 exposure cannot be undone by freezing today's scorer. No tuning or release claims.",
+    }
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--freeze", action="store_true", help="Create a new record before replay; never overwrite an existing record")
+    parser.add_argument("--freeze-path", type=Path, default=FREEZE)
+    parser.add_argument("--json", action="store_true")
+    args = parser.parse_args()
+    if args.freeze:
+        with args.freeze_path.open("x", encoding="utf-8", newline="\n") as handle:
+            json.dump(freeze_record(), handle, ensure_ascii=False, indent=2)
+            handle.write("\n")
+        print(args.freeze_path.relative_to(ROOT).as_posix())
+    else:
+        print(json.dumps(run(args.freeze_path), ensure_ascii=False, indent=2))
diff --git a/tests/test_rectification_confirmation_and.py b/tests/test_rectification_confirmation_and.py
index 9f89ab25..f538fa5e 100644
--- a/tests/test_rectification_confirmation_and.py
+++ b/tests/test_rectification_confirmation_and.py
@@ -93,6 +93,7 @@ def test_sealed_holdout_contract_matches_v3_report_and_stays_closed() -> None:
     sidecar = diagnostic["current_tree_unfrozen_diagnostic"]
     produced_by = product["metrics_produced_by"]
     current_tree = product["current_tree_scorer"]
+    rerun = json.loads((ROOT / current_tree["source_report"]).read_text(encoding="utf-8"))
     unfrozen = product["current_tree_unfrozen_diagnostic"]
     assert holdout["sealed_benchmark_id"] == report["benchmark_id"] == product["sealed_benchmark_id"]
     assert holdout["valid_public_aa_cases"] == report["validation"]["valid_public_aa_cases"]
@@ -115,7 +116,10 @@ def test_sealed_holdout_contract_matches_v3_report_and_stays_closed() -> None:
     assert produced_by["algorithm_version"] == report["frozen_scoring"]["algorithm_version"]
     assert produced_by["implementation_hash_matches_at_replay"] is True
     assert produced_by["source_report"] == "references/real_case_calibration/minute_rectification_holdout_v3_report.json"
-    assert current_tree["implementation_sha256"] == diagnostic["frozen_scoring"]["actual_sha256"]
+    assert current_tree["implementation_sha256"] == rerun["frozen_record"]["implementation_sha256"]
+    assert current_tree["fixed_protocol_rerun_hash_matches"] is rerun["implementation_hash_matches_at_replay"] is True
+    assert current_tree["fixed_protocol_rerun_trial_count"] == rerun["trial_count"] == 20
+    assert rerun["official_valid_independent_blind"] is False
     assert current_tree["matches_metrics_scorer"] is False
     assert current_tree["official_eval_implementation_hash_matches"] is False
     assert current_tree["official_eval_trial_count"] == diagnostic["trial_count"] == 0
diff --git a/tests/test_rectification_validation_integrity_gate.py b/tests/test_rectification_validation_integrity_gate.py
new file mode 100644
index 00000000..dbd2ddfe
--- /dev/null
+++ b/tests/test_rectification_validation_integrity_gate.py
@@ -0,0 +1,16 @@
+"""Collect research integrity regressions in the existing rectification quick gate."""
+
+from tests.test_reported_offset_research import (  # noqa: F401
+    test_cross_midnight_real_engine_scores_match_candidate_date_replay,
+    test_offset_beyond_radius_has_no_truth_candidate,
+    test_opaque_tie_break_is_independent_of_truth_and_input_order,
+    test_recorded_specification_and_all_prespecified_cells,
+    test_shifted_window_preserves_dates_across_midnight,
+    test_zero_offset_centres_on_truth_and_has_complete_grid,
+)
+from tests.test_sealed_holdout_contract_freshness import (  # noqa: F401
+    test_changed_frozen_identity_fails_before_any_replay,
+    test_contract_tracks_actual_current_scorer_and_dataset_audit,
+    test_fixed_protocol_rerun_is_auditable_but_never_independent_blind,
+    test_frozen_record_matches_dataset_scorer_and_evaluator_bytes,
+)
diff --git a/tests/test_reported_offset_research.py b/tests/test_reported_offset_research.py
new file mode 100644
index 00000000..2814ca9e
--- /dev/null
+++ b/tests/test_reported_offset_research.py
@@ -0,0 +1,117 @@
+from __future__ import annotations
+
+import json
+from datetime import datetime, timedelta
+
+import pytest
+
+from scripts.research import reported_offset_sweep as sweep
+from scripts.research.sealed_holdout_rerun import DATASET, opaque_order
+
+
+def public_case():
+    return json.loads(DATASET.read_text(encoding="utf-8"))["cases"][0]
+
+
+def test_zero_offset_centres_on_truth_and_has_complete_grid():
+    case = public_case()
+    truth = datetime.fromisoformat(f"{case['birth']['date']}T{case['birth']['time']}:00")
+    request, candidates = sweep.shifted_window(case, 0, 15)
+    assert candidates[15] == truth
+    assert len(candidates) == 31
+    assert request["start_time"] == candidates[0].strftime("%H:%M")
+    assert request["end_time"] == candidates[-1].strftime("%H:%M")
+    assert truth in candidates
+    assert not any("truth" in key or "offset" in key for key in request)
+
+
+@pytest.mark.parametrize("offset", [-30, -20, 20, 30])
+def test_offset_beyond_radius_has_no_truth_candidate(offset):
+    case = public_case()
+    truth = datetime.fromisoformat(f"{case['birth']['date']}T{case['birth']['time']}:00")
+    _, candidates = sweep.shifted_window(case, offset, 15)
+    assert truth not in candidates
+    rows = [{"time": moment.strftime("%H:%M"), "score": 1} for moment in candidates]
+    metrics = sweep.reveal_metrics(rows, candidates, candidates, truth, "test", "test")
+    assert metrics["truth_in_window"] is False
+    assert metrics["true_rank"] is None
+    assert metrics["delivery_covers_truth"] is False
+
+
+def test_opaque_tie_break_is_independent_of_truth_and_input_order():
+    # Explicitly synthetic unit inputs, not a fabricated engine-contract fixture.
+    moments = [datetime(2000, 1, 1, 12) + timedelta(minutes=i) for i in range(3)]
+    rows = [{"time": moment.strftime("%H:%M"), "score": 1} for moment in moments]
+    ordered = opaque_order("test", "synthetic", rows)
+    assert ordered == opaque_order("test", "synthetic", list(reversed(rows)))
+    winner = next(moment for moment in moments if moment.strftime("%H:%M") == ordered[0]["time"])
+    for truth in moments:
+        metrics = sweep.reveal_metrics(rows, moments, moments, truth, "test", "synthetic")
+        assert metrics["top_1_hit"] is (truth == winner)
+        assert metrics["true_rank"] == 1 + next(i for i, row in enumerate(ordered) if row["time"] == truth.strftime("%H:%M"))
+
+
+@pytest.mark.parametrize("clock,offset", [("00:02", -5), ("23:58", 5)])
+def test_shifted_window_preserves_dates_across_midnight(clock, offset):
+    case = public_case()
+    # Synthetic boundary mutation of the public case; no real user's birth data.
+    case["birth"] = {**case["birth"], "time": clock}
+    request, candidates = sweep.shifted_window(case, offset, 15)
+    truth = datetime.fromisoformat(f"{case['birth']['date']}T{clock}:00")
+    assert candidates[15] == truth + timedelta(minutes=offset)
+    assert request["birth_date"] == candidates[0].date().isoformat()
+    rows = [{"time": moment.strftime("%H:%M"), "score": int(moment == truth)} for moment in candidates]
+    metrics = sweep.reveal_metrics(rows, candidates, candidates, truth, "test", "synthetic")
+    assert metrics["top_1_minute_error"] == 0
+    assert metrics["truth_in_window"] is True
+    assert metrics["delivery_covers_truth"] is True
+    assert metrics["delivery_width_minutes"] == 31
+
+
+def test_cross_midnight_real_engine_scores_match_candidate_date_replay():
+    case = json.loads(DATASET.read_text(encoding="utf-8"))["cases"][5]
+    request, candidates = sweep.shifted_window(case, 0, 60)
+    assert len({candidate.date() for candidate in candidates}) == 2
+    contexts = sweep.compute_candidate_static_contexts(request, candidates=candidates)
+    grouped = sweep.score_window(request, contexts)
+    expected = []
+    for context in contexts:
+        dated = {**request, "birth_date": context["candidate_at"].date().isoformat()}
+        built = sweep.build_event_contribution_matrix(dated, static_contexts=[context])
+        expected.extend(sweep.score_from_matrix(dated, built))
+    assert grouped == expected
+    old_matrix = sweep.build_event_contribution_matrix(request, static_contexts=contexts)
+    old_rows = sweep.score_from_matrix(request, old_matrix)
+    assert old_rows != expected
+
+
+def test_recorded_specification_and_all_prespecified_cells():
+    report = json.loads((sweep.ROOT / "docs/research/reported_offset_2026_09_20.json").read_text(encoding="utf-8"))
+    spec = report["specification"]
+    assert spec["ayanamsa"] == "raman"
+    assert spec["node_mode"] == "mean"
+    assert spec["radii_minutes"] == list(sweep.RADII)
+    assert spec["offsets_minutes"] == list(sweep.OFFSETS)
+    assert spec["minute_step"] == 1
+    assert spec["implementation_sha256_prefix"] == spec["implementation_sha256"][:16]
+    assert spec["dataset_sha256"] == sweep.file_sha256(DATASET)
+    assert spec["evaluator_sha256"] == sweep.file_sha256(sweep.ROOT / "scripts/research/reported_offset_sweep.py")
+    assert spec["production_scoring_sha256"] == sweep.implementation_sha256(spec["production_scoring_files"])
+    assert spec["research_implementation_sha256"] == sweep.implementation_sha256(spec["research_files"])
+    assert spec["replay_revision"] == "candidate_date_grouped_v2"
+    assert spec["truth_hidden_from_ranker"] is True
+    assert spec["is_blind_evaluation"] is False
+    assert report["trial_count"] == 20 * len(sweep.RADII) * len(sweep.OFFSETS)
+    assert len(report["summary"]) == len(sweep.RADII) * len(sweep.OFFSETS)
+    assert report["summary"] == sweep.summarize(report["trials"], sweep.RADII, sweep.OFFSETS)
+    assert {(row["case_ordinal"], row["radius_minutes"], row["offset_minutes"]) for row in report["trials"]} == {
+        (case, radius, offset) for case in range(1, 21) for radius in sweep.RADII for offset in sweep.OFFSETS
+    }
+    assert report["widening_geometry"]["radius_120_scored"] is False
+    for trial in report["trials"]:
+        assert not ({"predicted_time", "birth", "latitude", "longitude"} & trial.keys())
+    for row in report["summary"]:
+        expected = float(abs(row["offset_minutes"]) <= row["radius_minutes"])
+        assert row["truth_in_window_rate"] == expected
+        assert row["delivery_coverage_rate"] <= expected
+        assert row["top_1_rate"] <= expected
diff --git a/tests/test_sealed_holdout_contract_freshness.py b/tests/test_sealed_holdout_contract_freshness.py
new file mode 100644
index 00000000..8069e30f
--- /dev/null
+++ b/tests/test_sealed_holdout_contract_freshness.py
@@ -0,0 +1,81 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from scripts.minute_rectification_blind_eval import implementation_sha256, summarize_trials
+from scripts.rectification.sealed_holdout import holdout_passed, load_sealed_minute_holdout
+from scripts.research.sealed_holdout_rerun import DATASET, FREEZE, REPORT, file_sha256, freeze_record, run
+
+ROOT = Path(__file__).resolve().parents[1]
+
+
+def read(path):
+    return json.loads(path.read_text(encoding="utf-8"))
+
+
+def test_contract_tracks_actual_current_scorer_and_dataset_audit():
+    dataset = read(DATASET)
+    contract = read(ROOT / "references/rectification_sealed_holdout.v1.json")
+    actual_hash = implementation_sha256(dataset["frozen_scoring"]["files"])
+    assert contract["current_tree_scorer"]["implementation_sha256"] == actual_hash
+    assert contract["source_audit_status"] == dataset["source_audit_status"]
+    assert contract["evaluated_on"] == read(REPORT)["evaluated_on"]
+    assert contract["status"] == "not_ready"
+    assert contract["confirmation_coverage_rate"] == 0.0
+    assert holdout_passed(load_sealed_minute_holdout()) is False
+
+
+def test_frozen_record_matches_dataset_scorer_and_evaluator_bytes():
+    frozen = read(FREEZE)
+    actual = freeze_record()
+    assert {key: value for key, value in frozen.items() if key != "frozen_at_utc"} == {
+        key: value for key, value in actual.items() if key != "frozen_at_utc"
+    }
+    assert frozen["dataset_sha256"] == file_sha256(DATASET)
+    assert len(frozen["files"]) == 12
+    assert read(DATASET)["frozen_scoring"]["implementation_sha256"] == frozen["historical_frozen_sha256"]
+
+
+def test_fixed_protocol_rerun_is_auditable_but_never_independent_blind():
+    report = read(REPORT)
+    contract = read(ROOT / "references/rectification_sealed_holdout.v1.json")
+    scorer = contract["current_tree_scorer"]
+    rerun = contract["current_tree_fixed_protocol_rerun"]
+    assert report["frozen_record"] == read(FREEZE)
+    assert report["trial_count"] == len(report["trials"]) == 20
+    assert report["excluded_cases"] == []
+    aggregate = summarize_trials(report["trials"], read(DATASET)["release_metrics"])
+    assert report["metrics"] == aggregate["metrics"] == scorer["metrics"]
+    assert report["metric_gates_passed"] == aggregate["metric_gates_passed"]
+    assert scorer["source_report"] == REPORT.relative_to(ROOT).as_posix()
+    assert scorer["implementation_sha256"] == report["frozen_record"]["implementation_sha256"]
+    assert scorer["fixed_protocol_rerun_trial_count"] == report["trial_count"]
+    assert scorer["fixed_protocol_rerun_hash_matches"] is True
+    assert scorer["official_eval_trial_count"] == report["official_blind_trial_count"] == 0
+    assert scorer["official_eval_implementation_hash_matches"] is False
+    for item in (rerun, report):
+        assert item["official_valid_independent_blind"] is False
+        assert item["is_blind_evaluation"] is False
+        assert item["truth_hidden_from_ranker"] is True
+        assert item["results_previously_seen"] is True
+        assert item["verified_minute_claim_allowed"] is False
+    assert rerun["must_not_claim_as_release_metrics"] is True
+    assert all(row["event_count"] == 3 for row in report["trials"])
+    # Never persist actual candidate/truth times or coordinates in report artifacts.
+    for row in report["trials"]:
+        assert not ({"predicted_time", "published_truth_revealed_after_ranking", "latitude", "longitude"} & row.keys())
+
+
+def test_changed_frozen_identity_fails_before_any_replay(tmp_path, monkeypatch):
+    frozen = read(FREEZE)
+    frozen["implementation_sha256"] = "0" * 64
+    path = tmp_path / "bad-freeze.json"
+    path.write_text(json.dumps(frozen), encoding="utf-8")
+    def unexpected(*args, **kwargs):
+        raise AssertionError("must reject identity before scoring")
+    monkeypatch.setattr("scripts.research.sealed_holdout_rerun.build_feature_fact_rows", unexpected)
+    with pytest.raises(ValueError, match="frozen_record_mismatch:implementation_sha256"):
+        run(path)