diff --git a/scripts/m11b4_latency_report.json b/scripts/m11b4_latency_report.json
index 02e3713..dd8a36b 100644
--- a/scripts/m11b4_latency_report.json
+++ b/scripts/m11b4_latency_report.json
@@ -4,14 +4,14 @@
   "lost": 0,
   "via_broadcast": 200,
   "via_polling_fallback": 0,
-  "p50_ms": 0.65,
-  "p90_ms": 0.699,
-  "p99_ms": 0.843,
-  "max_ms": 0.969,
+  "p50_ms": 1.042,
+  "p90_ms": 1.232,
+  "p99_ms": 1.997,
+  "max_ms": 3.124,
   "segment_p99_ms": {
-    "write_commit": 0.826,
-    "broadcast_emit": 0.053,
-    "consume_wait": 0.025
+    "write_commit": 1.971,
+    "broadcast_emit": 0.354,
+    "consume_wait": 0.176
   },
   "bottleneck_segment": "write_commit",
   "slo_ms": 1000.0,
@@ -24,7 +24,7 @@
     "direct_publish": 0,
     "queued": 200,
     "subscriber_errors": 0,
-    "max_latency_ms": 0.153,
+    "max_latency_ms": 0.408,
     "in_flight": 0,
     "latency_samples": 200,
     "last_error": null,
@@ -32,2011 +32,2011 @@
     "channels": [
       "in_process"
     ],
-    "p50_latency_ms": 0.077,
-    "p99_latency_ms": 0.127
+    "p50_latency_ms": 0.136,
+    "p99_latency_ms": 0.292
   },
   "samples": [
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-      "e2e_ms": 0.903,
+      "event_id": "3d493faaf7bf44108d741d1b09707388",
+      "t_write_ms": 1.417,
+      "t_broadcast_emit_ms": 0.087,
+      "t_consume_ms": 0.039,
+      "e2e_ms": 1.457,
       "via": "broadcast",
       "perceived": true
     },
     {
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-      "t_broadcast_emit_ms": 0.04,
-      "t_consume_ms": 0.019,
-      "e2e_ms": 0.827,
+      "event_id": "ea9f10fded404222b8cfbf4436b76564",
+      "t_write_ms": 0.866,
+      "t_broadcast_emit_ms": 0.055,
+      "t_consume_ms": 0.026,
+      "e2e_ms": 0.892,
       "via": "broadcast",
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+      "t_consume_ms": 0.024,
+      "e2e_ms": 1.1,
+      "via": "broadcast",
+      "perceived": true
+    },
+    {
+      "scene_id": "sc_bench",
+      "event_id": "f2747c8a939a485584ea15b99490f5e1",
+      "t_write_ms": 0.846,
+      "t_broadcast_emit_ms": 0.054,
+      "t_consume_ms": 0.025,
+      "e2e_ms": 0.871,
+      "via": "broadcast",
+      "perceived": true
+    },
+    {
+      "scene_id": "sc_bench",
+      "event_id": "81d063a2bf114230a9ad6760b8c277ce",
+      "t_write_ms": 0.788,
+      "t_broadcast_emit_ms": 0.051,
+      "t_consume_ms": 0.022,
+      "e2e_ms": 0.81,
+      "via": "broadcast",
+      "perceived": true
+    },
+    {
+      "scene_id": "sc_bench",
+      "event_id": "4e172704e3d4475482ef8f5d3259942f",
+      "t_write_ms": 0.762,
+      "t_broadcast_emit_ms": 0.052,
+      "t_consume_ms": 0.025,
+      "e2e_ms": 0.787,
+      "via": "broadcast",
+      "perceived": true
+    },
+    {
+      "scene_id": "sc_bench",
+      "event_id": "f2061dd0ba8d481c82f72b0468436b79",
+      "t_write_ms": 0.749,
+      "t_broadcast_emit_ms": 0.079,
+      "t_consume_ms": 0.037,
+      "e2e_ms": 0.786,
+      "via": "broadcast",
+      "perceived": true
+    },
+    {
+      "scene_id": "sc_bench",
+      "event_id": "a1faf5662aaa43d39af7922d335e0195",
       "t_write_ms": 0.722,
-      "t_broadcast_emit_ms": 0.034,
-      "t_consume_ms": 0.016,
-      "e2e_ms": 0.738,
+      "t_broadcast_emit_ms": 0.082,
+      "t_consume_ms": 0.042,
+      "e2e_ms": 0.764,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "8dd0ffef0e514ac7abb69e7534ee48ae",
-      "t_write_ms": 0.696,
-      "t_broadcast_emit_ms": 0.031,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.71,
+      "event_id": "2d0952b6b6d74e9a859ac0f2fd4f0561",
+      "t_write_ms": 0.732,
+      "t_broadcast_emit_ms": 0.066,
+      "t_consume_ms": 0.028,
+      "e2e_ms": 0.76,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "2a897980e3b54dc5bde2f34e0fda7542",
-      "t_write_ms": 0.738,
-      "t_broadcast_emit_ms": 0.035,
-      "t_consume_ms": 0.016,
+      "event_id": "c3421e65dd6242278e83b430be3029ab",
+      "t_write_ms": 0.773,
+      "t_broadcast_emit_ms": 0.071,
+      "t_consume_ms": 0.031,
+      "e2e_ms": 0.804,
+      "via": "broadcast",
+      "perceived": true
+    },
+    {
+      "scene_id": "sc_bench",
+      "event_id": "178e2be8f624463dbb78eb8e8f4e01ec",
+      "t_write_ms": 0.727,
+      "t_broadcast_emit_ms": 0.059,
+      "t_consume_ms": 0.027,
       "e2e_ms": 0.754,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "679e8966c98c42ad9b134b34d9ca74dc",
-      "t_write_ms": 0.627,
-      "t_broadcast_emit_ms": 0.031,
-      "t_consume_ms": 0.013,
-      "e2e_ms": 0.64,
+      "event_id": "0cd5df8fdb89470db6ed48f11478ab87",
+      "t_write_ms": 1.062,
+      "t_broadcast_emit_ms": 0.054,
+      "t_consume_ms": 0.027,
+      "e2e_ms": 1.088,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "fc8017da6f2c4fa4a441b2d28afc7a56",
-      "t_write_ms": 0.637,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.651,
+      "event_id": "dca039ae9d8e4e5b80ad8f9ac2c1d250",
+      "t_write_ms": 1.105,
+      "t_broadcast_emit_ms": 0.052,
+      "t_consume_ms": 0.026,
+      "e2e_ms": 1.131,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "a607907ccd0740ad86c273a545c02f58",
-      "t_write_ms": 0.715,
-      "t_broadcast_emit_ms": 0.034,
-      "t_consume_ms": 0.016,
-      "e2e_ms": 0.731,
+      "event_id": "32aa102dad6741d6a2a77ffe70cd7bb2",
+      "t_write_ms": 1.111,
+      "t_broadcast_emit_ms": 0.081,
+      "t_consume_ms": 0.038,
+      "e2e_ms": 1.149,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "dcc6620500d548ccb4950ccddcba201a",
-      "t_write_ms": 0.678,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.015,
-      "e2e_ms": 0.693,
+      "event_id": "e091e105feff4d08bcf1a8cb08f9abf7",
+      "t_write_ms": 1.064,
+      "t_broadcast_emit_ms": 0.065,
+      "t_consume_ms": 0.038,
+      "e2e_ms": 1.102,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "9dea88ac898e426d9af3a25e250b2189",
-      "t_write_ms": 0.649,
-      "t_broadcast_emit_ms": 0.048,
-      "t_consume_ms": 0.03,
-      "e2e_ms": 0.679,
+      "event_id": "4e2ad148a34740aa9a3d8390581e8e4e",
+      "t_write_ms": 0.734,
+      "t_broadcast_emit_ms": 0.047,
+      "t_consume_ms": 0.022,
+      "e2e_ms": 0.756,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "63b97558fe194ce181756857b3d5f91e",
-      "t_write_ms": 0.634,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.648,
+      "event_id": "0ad30cfedb4a46e3a56e78755b67aaaf",
+      "t_write_ms": 0.772,
+      "t_broadcast_emit_ms": 0.052,
+      "t_consume_ms": 0.023,
+      "e2e_ms": 0.795,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "ea1b054d4a1f41f1a4c0f5457af4ad9e",
-      "t_write_ms": 0.613,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.015,
-      "e2e_ms": 0.628,
+      "event_id": "3781c993393b4ecca1527672fa7a1410",
+      "t_write_ms": 0.754,
+      "t_broadcast_emit_ms": 0.051,
+      "t_consume_ms": 0.023,
+      "e2e_ms": 0.777,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "28ee57cce8864c40b3f3d096f9b3d302",
-      "t_write_ms": 0.63,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.645,
+      "event_id": "688dfce170244f5b81d20024fe77dc99",
+      "t_write_ms": 0.701,
+      "t_broadcast_emit_ms": 0.105,
+      "t_consume_ms": 0.038,
+      "e2e_ms": 0.739,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "78220a474f9b476a897a623b2aac99cf",
-      "t_write_ms": 0.692,
-      "t_broadcast_emit_ms": 0.034,
-      "t_consume_ms": 0.016,
-      "e2e_ms": 0.708,
+      "event_id": "b3a9813a342f45e6b3b10fe44d643db2",
+      "t_write_ms": 0.749,
+      "t_broadcast_emit_ms": 0.077,
+      "t_consume_ms": 0.036,
+      "e2e_ms": 0.785,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "0a906d772f7f41029adcfdddf0047e8b",
-      "t_write_ms": 0.633,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.015,
-      "e2e_ms": 0.648,
+      "event_id": "b471690498a34d2e91923ce5ef182fdf",
+      "t_write_ms": 0.773,
+      "t_broadcast_emit_ms": 0.061,
+      "t_consume_ms": 0.032,
+      "e2e_ms": 0.805,
       "via": "broadcast",
       "perceived": true
     },
     {
       "scene_id": "sc_bench",
-      "event_id": "b25295708b914ff6934ac2ecff77ee7b",
-      "t_write_ms": 0.663,
-      "t_broadcast_emit_ms": 0.034,
-      "t_consume_ms": 0.016,
-      "e2e_ms": 0.679,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "4f9b2ce256bf4f8b929987c7c89de94b",
-      "t_write_ms": 0.635,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.649,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "f4fd5b120cc7456ab92b3b6e2169a0cf",
-      "t_write_ms": 0.639,
-      "t_broadcast_emit_ms": 0.03,
-      "t_consume_ms": 0.013,
-      "e2e_ms": 0.652,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "5809cdf027514bd8b2646c57bb9e355e",
-      "t_write_ms": 0.613,
-      "t_broadcast_emit_ms": 0.031,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.627,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "e8b516a4963f47aaa9f8bf41a63033fa",
-      "t_write_ms": 0.665,
-      "t_broadcast_emit_ms": 0.035,
-      "t_consume_ms": 0.016,
-      "e2e_ms": 0.681,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "8cbc02994f0b4d3b8e83c7ef94da6836",
-      "t_write_ms": 0.635,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.649,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "be3184950f5d46bc809551744024b3c2",
-      "t_write_ms": 0.636,
-      "t_broadcast_emit_ms": 0.034,
-      "t_consume_ms": 0.016,
-      "e2e_ms": 0.652,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "f2f690864c644ddd9584df49c535d71c",
-      "t_write_ms": 0.615,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.63,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "22071c12c7c74db79de58f6c77a82756",
-      "t_write_ms": 0.636,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.65,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "2d69fd4ea17f4cafa8184bbf842039d5",
-      "t_write_ms": 0.623,
-      "t_broadcast_emit_ms": 0.033,
-      "t_consume_ms": 0.015,
-      "e2e_ms": 0.638,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "91757b5a05e144229b8b0b56d7cb45f0",
-      "t_write_ms": 0.681,
-      "t_broadcast_emit_ms": 0.036,
-      "t_consume_ms": 0.018,
-      "e2e_ms": 0.698,
-      "via": "broadcast",
-      "perceived": true
-    },
-    {
-      "scene_id": "sc_bench",
-      "event_id": "a47f2ef8bf25410082e3dde20c53d1d0",
-      "t_write_ms": 0.637,
-      "t_broadcast_emit_ms": 0.032,
-      "t_consume_ms": 0.014,
-      "e2e_ms": 0.651,
+      "event_id": "97f69503e11a447385c4f9ca1a0a9725",
+      "t_write_ms": 0.712,
+      "t_broadcast_emit_ms": 0.05,
+      "t_consume_ms": 0.023,
+      "e2e_ms": 0.735,
       "via": "broadcast",
       "perceived": true
     }
   ],
   "verdict": "PASS",
-  "run_at": "2026-09-22 13:23:22 +0800"
+  "run_at": "2026-09-22 13:56:47 +0800"
 }
\ No newline at end of file
diff --git a/scripts/m11b4_selftest.py b/scripts/m11b4_selftest.py
index 1a34344..29b87b4 100644
--- a/scripts/m11b4_selftest.py
+++ b/scripts/m11b4_selftest.py
@@ -35,6 +35,7 @@ from world_sync.pbl_runtime_latency import (
 from world_sync.pbl_runtime_polling import (                                    # noqa: E402
     FALLBACK_SLO_MS,
     POLL_INTERVAL_S,
+    SLO_TOLERANCE_MS,
     PollingFallback,
     build_poll_sql,
     explain_poll_query,
@@ -44,9 +45,8 @@ from world_sync.pbl_runtime_polling import (
     reset_fallback,
 )
 
-#: AC1.4 判定容差（毫秒）：真实 3s sleep 的唤醒抖动 + 单次周期边界，
-#: 断言口径为 wall_ms <= FALLBACK_SLO_MS + SLO_TOLERANCE_MS（QC #13 要求显式披露）
-SLO_TOLERANCE_MS = 500.0
+# 注：AC1.4 判定容差 SLO_TOLERANCE_MS 不再在测试侧本地定义，
+# 统一从 world_sync.pbl_runtime_polling 源码常量 import（QC #17 源码-文档一致性）。
 
 RESULTS = []
 
@@ -424,7 +424,11 @@ def test_facade_surface(dbpath):
     print("  检查 %d 个导出名, 缺失=%s" % (len(names), missing))
     check("AC5.1 world_sync 包级导出齐全", not missing, str(missing))
     r = poll_since("sc_facade", "1970-01-01 00:00:00", conn_factory=factory_for(dbpath))
-    check("AC5.2 poll_since 门面可直调", isinstance(r, dict) and "rows" in r,
+    # poll_since 门面的真实返回键是 count（不是 recovered_count，后者属
+    # PollingFallback.poll_once/run 的返回）——口径与源码/文档统一（QC #15）。
+    check("AC5.2 poll_since 门面可直调，返回键为 rows/count",
+          isinstance(r, dict) and "rows" in r and "count" in r
+          and "recovered_count" not in r and r["count"] == len(r["rows"]),
           json.dumps({k: r[k] for k in ("scene_id", "count")}, ensure_ascii=False))
     ex = explain_poll_query("sc_facade", "1970-01-01 00:00:00",
                             conn_factory=factory_for(dbpath))
diff --git a/scripts/m11b4_selftest_output.txt b/scripts/m11b4_selftest_output.txt
index f1ba0b9..16ed38e 100644
--- a/scripts/m11b4_selftest_output.txt
+++ b/scripts/m11b4_selftest_output.txt
@@ -1,5 +1,5 @@
 # M11b-4 自测留证
-# 生成时间: 2026-09-22 13:23:19 +0800
+# 生成时间: 2026-09-22 13:56:43 +0800
 # 命令: cd modules/world_sync && .venv/bin/python scripts/m11b4_selftest.py
 # Python: 3.10.12
 
@@ -8,20 +8,20 @@ AC1 广播丢失 → 3s 轮询补漏（真实 3s 节奏）
 ==============================================================================
   interval=3.0s  run() 结果={"polls": 1, "recovered_count": 1, "found": true, "stopped_by": "event_matched"}
   墙钟耗时=3000.5ms（含 1 次真实 3s sleep）  on_recovered 回调次数=1
-  兜底计数器={"polls": 1, "queries": 1, "recovered": 1, "duplicated": 0, "missed_by_broadcast": 1, "timeouts": 0, "stops_on_notify": 0, "scenes": ["sc_ac1_1790054599"], "interval": 3.0, "timeout": 10.0}
+  兜底计数器={"polls": 1, "queries": 1, "recovered": 1, "duplicated": 0, "missed_by_broadcast": 1, "timeouts": 0, "stops_on_notify": 0, "scenes": ["sc_ac1_1790056603"], "interval": 3.0, "timeout": 10.0}
 [PASS] AC1.1 轮询间隔常量 = 3.0s  -> 3.0
 [PASS] AC1.2 广播丢失时 found=True（补到漏网事件）
 [PASS] AC1.3 stopped_by=event_matched（非 timeout）  -> event_matched
 [PASS] AC1.4 补漏耗时 ≤ SLO 3000ms + 500ms 调度容差（1 个轮询周期内）  -> 3000.5ms <= 3500.0ms
-[PASS] AC1.5 推进后的水位线 >= 事件 created_at  -> 2026-09-22 05:23:19 >= 2026-09-22 05:23:19
+[PASS] AC1.5 推进后的水位线 >= 事件 created_at  -> 2026-09-22 05:56:43 >= 2026-09-22 05:56:43
 
 ==============================================================================
 AC1b 已投递事件不重复补漏（同秒撞秒 + event_uid 去重双保险）
 ==============================================================================
-  第1轮 recovered=1  第2轮 recovered=0（水位线=2026-09-22 05:23:19）
+  第1轮 recovered=1  第2轮 recovered=0（水位线=2026-09-22 05:56:43）
 [PASS] AC1b.1 首轮补到 1 条
 [PASS] AC1b.2 次轮 0 条（水位线+已投递集合去重）
-  同秒新事件 uid=ac1b-a6ba55a386728eb7 created_at=2026-09-22 05:23:19 -> recovered=1 found=True
+  同秒新事件 uid=ac1b-a50a12b3debf921e created_at=2026-09-22 05:56:43 -> recovered=1 found=True
 [PASS] AC1b.3 同秒新事件仍被补到（>= 水位线 + NOT IN 去重）
 
 ==============================================================================
@@ -36,9 +36,9 @@ AC1c 水位线格式守卫（ISO 格式必须被拒绝，否则静默丢事件
 ==============================================================================
 AC1d 广播正常 → 轮询立即停止（stopped_by=broadcast_received）
 ==============================================================================
-  run()={"polls": 1, "found": false, "stopped_by": "broadcast_received"}  墙钟=200.8ms（远小于 3s 周期）
+  run()={"polls": 1, "found": false, "stopped_by": "broadcast_received"}  墙钟=200.9ms（远小于 3s 周期）
 [PASS] AC1d.1 收到广播后停止
-[PASS] AC1d.2 未走满轮询周期  -> 200.8ms
+[PASS] AC1d.2 未走满轮询周期  -> 200.9ms
 [PASS] AC1d.3 notified 短路后 polls 计数=1  -> 1
 
 ==============================================================================
@@ -57,22 +57,22 @@ AC2 补漏查询 EXPLAIN：必须命中 ix_scene_created，禁止全表扫描
 AC3 端到端时延基准：裁决→write_event_with_state→COMMIT→广播→消费端感知
 ==============================================================================
   样本数 n=200  SLO=1000ms  dialect=sqlite(file=m11b4.sqlite)
-  基准总耗时 0.14s
-  分段 P99: {"write_commit": 0.826, "broadcast_emit": 0.053, "consume_wait": 0.025}
+  基准总耗时 0.22s
+  分段 P99: {"write_commit": 1.971, "broadcast_emit": 0.354, "consume_wait": 0.176}
   瓶颈段  : write_commit
   感知路径: broadcast=200 polling_fallback=0 lost=0
-  广播统计: {"published": 200, "dropped_disabled": 0, "failed": 0, "retried": 0, "direct_publish": 0, "queued": 200, "subscriber_errors": 0, "max_latency_ms": 0.153, "in_flight": 0, "latency_samples": 200, "last_error": null, "enabled": true, "channels": ["in_process"], "p50_latency_ms": 0.077, "p99_latency_ms": 0.127}
-  P50=0.650ms  P90=0.699ms  P99=0.843ms  max=0.969ms
+  广播统计: {"published": 200, "dropped_disabled": 0, "failed": 0, "retried": 0, "direct_publish": 0, "queued": 200, "subscriber_errors": 0, "max_latency_ms": 0.408, "in_flight": 0, "latency_samples": 200, "last_error": null, "enabled": true, "channels": ["in_process"], "p50_latency_ms": 0.136, "p99_latency_ms": 0.292}
+  P50=1.042ms  P90=1.232ms  P99=1.997ms  max=3.124ms
   裁决    : PASS
 [PASS] AC3.1 全部样本被感知（无丢失）  -> lost=0
 [PASS] AC3.2 感知全部走广播（兜底未介入正常链路）  -> 200/200
-[PASS] AC3.3 P99 ≤ 1000ms  -> P99=0.843ms
+[PASS] AC3.3 P99 ≤ 1000ms  -> P99=1.997ms
 
 ==============================================================================
 AC3b 广播丢失时的时延归入 polling_fallback（>1s 是设计使然，单独统计）
 ==============================================================================
   兜底计数器: {"polls": 1, "queries": 1, "recovered": 1, "duplicated": 0, "missed_by_broadcast": 1, "timeouts": 0, "stops_on_notify": 0, "scenes": ["sc_x_lost"], "interval": 0.2, "timeout": 5.0}
-  样本: {"scene_id": "sc_x_lost", "event_id": "d23e1c4c7ac647d7bfec4072f5bfbeed", "t_write_ms": 0.705, "t_broadcast_emit_ms": 0.004, "t_consume_ms": 251.333, "e2e_ms": 252.038, "via": "polling_fallback", "perceived": true}
+  样本: {"scene_id": "sc_x_lost", "event_id": "f3de147964fb4f879b5342139e6d7e88", "t_write_ms": 0.718, "t_broadcast_emit_ms": 0.004, "t_consume_ms": 250.654, "e2e_ms": 251.373, "via": "polling_fallback", "perceived": true}
 [PASS] AC3b.1 广播丢失时经轮询兜底仍被感知
 [PASS] AC3b.2 报告把它与广播路径分开统计（不混入 P99 判定）
 [PASS] AC3b.3 兜底确实发起了补漏查询（polls>=1 且 recovered>=1）  -> polls=1 recovered=1
@@ -90,7 +90,7 @@ AC5 对外门面可调用性（防漏注册导致 NameError）
 ==============================================================================
   检查 16 个导出名, 缺失=[]
 [PASS] AC5.1 world_sync 包级导出齐全  -> []
-[PASS] AC5.2 poll_since 门面可直调  -> {"scene_id": "sc_facade", "count": 0}
+[PASS] AC5.2 poll_since 门面可直调，返回键为 rows/count  -> {"scene_id": "sc_facade", "count": 0}
 [PASS] AC5.3 explain_poll_query 门面可直调  -> 30 rows
 [PASS] AC5.4 fallback_stats 返回计数快照  -> {"polls": 1, "queries": 1, "recovered": 1, "duplicated": 0, "missed_by_broadcast": 1, "timeouts": 0, "stops_on_notify": 
 
@@ -125,12 +125,12 @@ AC5 对外门面可调用性（防漏注册导致 NameError）
   OK   AC4.2 polling 不 import 写入端事务模块（只依赖 sql/errors/tx_env）
   OK   AC4.3 兜底只读 pbl_runtime_event（SQL 无 INSERT/UPDATE/DELETE）
   OK   AC5.1 world_sync 包级导出齐全
-  OK   AC5.2 poll_since 门面可直调
+  OK   AC5.2 poll_since 门面可直调，返回键为 rows/count
   OK   AC5.3 explain_poll_query 门面可直调
   OK   AC5.4 fallback_stats 返回计数快照
 
   31/31 通过
-  时延报告: P50=0.650ms P90=0.699ms P99=0.843ms max=0.969ms verdict=PASS
+  时延报告: P50=1.042ms P90=1.232ms P99=1.997ms max=3.124ms verdict=PASS
   报告 JSON 落盘: /d/pipeline/workspaces/0/sdlc_general/modules/world_sync/scripts/m11b4_latency_report.json
 
   RESULT: PASS  FAILURES=0
diff --git a/skill/SKILL.md b/skill/SKILL.md
index 2bbd3c9..b3dec72 100644
--- a/skill/SKILL.md
+++ b/skill/SKILL.md
@@ -120,6 +120,8 @@ polling 与写入端事务模块 import 零交集、补漏 SQL 只读 `pbl_runti
 - **M11b-4 三处同步注册**：新增/删除 polling、latency 门面函数必须同步改 ①实现 ②`__init__.py` 导入 + `__all__` ③`init.py` `env.xxx`。漏 ② → 宿主 `from world_sync import explain_poll_query` AttributeError（本任务 QC #2 实际踩过）。selftest AC5.1 逐名核验 16 个导出名。
 - **文档数值必须与 `scripts/m11b4_latency_report.json` 一致**：该 JSON 是唯一数值源且自带 `run_at` 时间戳；引用分段 P99/广播分位数/墙钟数字时逐字段照抄并标注时间戳，禁止凭记忆或引用另一次未落盘的运行。
 - **AC1.4 判定口径含容差**：`wall_ms <= FALLBACK_SLO_MS + SLO_TOLERANCE_MS`（3000+500ms，来源为真实 3s sleep 的唤醒抖动与周期边界），文档不得写成「3000.5ms ≤ 3000ms」。
+- **`SLO_TOLERANCE_MS` 是模块源码常量**（QC #17）：定义在 `pbl_runtime_polling.py`（与 `FALLBACK_SLO_MS` 同段），并已按三处同步导出（`__init__.py` import + `__all__`）与登记（`init.py` `env.SLO_TOLERANCE_MS`）。selftest 只 `from world_sync.pbl_runtime_polling import SLO_TOLERANCE_MS` 引用，**禁止在测试脚本里重复本地定义**——否则 dev-notes 常量表「与源码逐一对齐」的声称不成立。同理 `env.SEEN_IDS_IN_SQL` 也已登记。
+- **`poll_since` 门面返回键是 `count`**（不是 `recovered_count`）：`{scene_id, watermark, rows, count}`。`recovered_count` 只存在于 `PollingFallback.poll_once()` / `run()` 的返回值。写文档/断言前先看源码返回字典，别把两套口径混用（QC #15）。
 - `RedisPubSubChannel` 惰性 import `redis`：环境缺包只 `ChannelUnavailable` 跳过，不影响 InProcess/webhook 通道，不要让 Redis 成为硬依赖
 - `scripts/sync_code_to_app.py` 的 `collect()` 必须以 `WS_ROOT` 拼绝对路径 —— 用相对路径 `isdir` 会恒返回空清单，导致 `--check` 打印假 PASS（M11b-3 已修，改脚本时勿回退）
 
diff --git a/world_sync/__init__.py b/world_sync/__init__.py
index a709e8f..8b8e3cd 100644
--- a/world_sync/__init__.py
+++ b/world_sync/__init__.py
@@ -157,6 +157,7 @@ from .pbl_runtime_polling import (
     POLL_LIMIT,
     POLL_TIMEOUT_S,
     SEEN_IDS_IN_SQL,
+    SLO_TOLERANCE_MS,
     PollingFallback,
     build_poll_sql,
     configure_fallback,
@@ -282,6 +283,7 @@ __all__ = [
     "POLL_LIMIT",
     "FALLBACK_SLO_MS",
     "SEEN_IDS_IN_SQL",
+    "SLO_TOLERANCE_MS",
     "PollingFallback",
     "build_poll_sql",
     "configure_fallback",
diff --git a/world_sync/init.py b/world_sync/init.py
index 0137a55..0373e48 100644
--- a/world_sync/init.py
+++ b/world_sync/init.py
@@ -184,6 +184,8 @@ from .pbl_runtime_polling import (
     POLL_INTERVAL_S,
     POLL_LIMIT,
     POLL_TIMEOUT_S,
+    SEEN_IDS_IN_SQL,
+    SLO_TOLERANCE_MS,
     PollingFallback,
     build_poll_sql,
     configure_fallback,
@@ -558,6 +560,8 @@ def load_world_sync(server_env=None, conn_factory=None):
     env.POLL_TIMEOUT_S = POLL_TIMEOUT_S
     env.POLL_LIMIT = POLL_LIMIT
     env.FALLBACK_SLO_MS = FALLBACK_SLO_MS
+    env.SEEN_IDS_IN_SQL = SEEN_IDS_IN_SQL
+    env.SLO_TOLERANCE_MS = SLO_TOLERANCE_MS
     env.E2E_LATENCY_SLO_MS = E2E_LATENCY_SLO_MS
     env.PollingFallback = PollingFallback
     env.build_poll_sql = build_poll_sql
diff --git a/world_sync/pbl_runtime_polling.py b/world_sync/pbl_runtime_polling.py
index 54c091c..14ee0fd 100644
--- a/world_sync/pbl_runtime_polling.py
+++ b/world_sync/pbl_runtime_polling.py
@@ -57,6 +57,11 @@ POLL_LIMIT = 500
 FALLBACK_SLO_MS = 3000.0
 #: 去重集合参与 SQL 的最大长度（防止 NOT IN 参数爆炸）
 SEEN_IDS_IN_SQL = 200
+#: AC1.4 判定调度容差（毫秒）：真实 ``time.sleep(3.0)`` 的唤醒抖动 + 单次周期边界。
+#: 补漏必然发生在第 1 次 sleep 之后，墙钟恒 >=3000ms，故验收判定式为
+#: ``wall_ms <= FALLBACK_SLO_MS + SLO_TOLERANCE_MS``（即 <= 3500.0ms）。
+#: selftest 与文档统一引用本常量，禁止在测试侧重复定义（QC #17）。
+SLO_TOLERANCE_MS = 500.0
 
 _WATERMARK_RE = re.compile(r"^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}(\.\d{1,6})?$")
 
@@ -66,6 +71,7 @@ __all__ = [
     "POLL_LIMIT",
     "FALLBACK_SLO_MS",
     "SEEN_IDS_IN_SQL",
+    "SLO_TOLERANCE_MS",
     "PollingFallback",
     "build_poll_sql",
     "configure_fallback",