diff --git a/docs/adr/0001-episode-semantics-boundaries.md b/docs/adr/0001-episode-semantics-boundaries.md
index 6564c6e..6e666c8 100644
--- a/docs/adr/0001-episode-semantics-boundaries.md
+++ b/docs/adr/0001-episode-semantics-boundaries.md
@@ -46,11 +46,12 @@ explicit for v0.7 research:
    distinct-username objective for multi-user probing), not the longest possible
    time span. Tie-breaking and whether a candidate may be extended without
    increasing its score are v0.7 research questions.
-3. **Non-overlapping episode** is currently enforced by segment construction
-   and one selection per segment. It does not yet describe a global candidate
-   ranking problem where two windows compete for shared events. v0.7 must state
-   whether exclusion is by event IDs, time intervals, or a rule-specific signal
-   budget.
+3. **Non-overlapping episode** has two candidate-v1 boundaries. Search windows
+   may share event IDs and time intervals. Selection compatibility separately
+   requires a later window to start more than one rule window after the prior
+   window ends. At publication, selected episodes inside a segment must have
+   disjoint event-ID sets; the oracle validator fails closed on reuse. This does
+   not define cross-rule evidence reuse or a future production signal budget.
 4. **Cooldown merge** currently means that adjacent signals with a gap less
    than or equal to the rule window remain in one candidate segment. A gap
    larger than the rule window starts another segment. This is an adjacency
@@ -76,7 +77,7 @@ that makes each boundary observable. At minimum it should cover:
 | Continuous bridge | Two dense bursts connected by background gaps at or below the rule window remain one baseline segment. |
 | Threshold edge | A candidate exactly at threshold is eligible; one event below threshold is not. |
 | Maximal-window tie | Equal-score windows have a documented deterministic tie-break. |
-| Shared evidence | Overlapping candidate windows make the non-overlap unit explicit. |
+| Shared evidence | Overlapping search candidates expose shared event IDs; selected episodes materialize each event ID at most once, and reuse fails closed. |
 | Cooldown boundary | A gap exactly at the rule window and one second beyond it test the inclusive boundary. |
 | Bimodal background | Two dense peaks are surrounded by lower-rate background, with expected baseline output recorded separately from the research candidate output. |
 
@@ -160,11 +161,23 @@ The earlier candidate wins for both forward and reversed candidate input. This
 accepts the final tie-break and candidate-order invariance for that bounded
 control; it does not settle the separate shared-evidence policy.
 
-Together, the two fixtures and focused tie control accept the recovery,
-null-control, and deterministic tie-break hypotheses for their bounded cases
-only. Shared evidence, background calibration, and a production complexity
-design still require independent evidence. `Detector::analyze()` and
-`loglens.report.v3` remain unchanged.
+A focused shared-evidence control uses six events at offsets 0 through 5
+seconds. With threshold five, enumeration produces `line:1` through `line:5`,
+`line:1` through `line:6`, and `line:2` through `line:6`; `line:2` through
+`line:5` belong to all three search candidates. Candidate v1 selects the
+six-event maximal window and materializes each event ID once. A separate
+negative control gives two distinct selected candidates the same event-ID set;
+oracle validation rejects it as `selected episodes reuse event evidence`.
+Mutation testing confirms that disabling this guard makes the focused test
+fail. This accepts event IDs as the candidate-v1 publication non-overlap unit,
+not as a cross-rule or production policy.
+
+Together, the two fixtures and focused tie/shared-evidence controls accept the
+recovery, null-control, deterministic tie-break, and publication
+single-consumption hypotheses for their bounded cases only. Background and
+alert-volume calibration plus a production complexity design still require
+independent evidence. `Detector::analyze()` and `loglens.report.v3` remain
+unchanged.
 
 ## Alternatives considered
 
diff --git a/tests/test_episode_candidate_core.py b/tests/test_episode_candidate_core.py
index 5155d16..6086a21 100644
--- a/tests/test_episode_candidate_core.py
+++ b/tests/test_episode_candidate_core.py
@@ -60,14 +60,29 @@ def test_candidate_cooldown_requires_more_than_one_rule_window(self) -> None:
             ],
         )
 
-    def test_overlapping_candidates_materialize_one_maximal_window(self) -> None:
+    def test_shared_evidence_is_search_membership_not_double_consumption(self) -> None:
         candidates = enumerate_candidate_windows(
             make_events([0, 1, 2, 3, 4, 5]), 5, 600
         )
         selected = select_window_separated_candidates(candidates, 600)
+        materialized_event_ids = [
+            event_id for candidate in selected for event_id in candidate.event_ids
+        ]
 
-        self.assertEqual(len(selected), 1)
-        self.assertEqual(selected[0].event_ids, tuple(f"line:{i}" for i in range(1, 7)))
+        self.assertEqual(
+            [candidate.event_ids for candidate in candidates],
+            [
+                tuple(f"line:{i}" for i in range(1, 6)),
+                tuple(f"line:{i}" for i in range(1, 7)),
+                tuple(f"line:{i}" for i in range(2, 7)),
+            ],
+        )
+        self.assertEqual(
+            set.intersection(*(set(candidate.event_ids) for candidate in candidates)),
+            {f"line:{i}" for i in range(2, 6)},
+        )
+        self.assertEqual(materialized_event_ids, [f"line:{i}" for i in range(1, 7)])
+        self.assertEqual(len(materialized_event_ids), len(set(materialized_event_ids)))
 
     def test_equal_score_windows_prefer_chronological_key(self) -> None:
         candidates = enumerate_candidate_windows(
diff --git a/tests/test_episode_candidate_validation.py b/tests/test_episode_candidate_validation.py
index 6a8ed0d..43c017c 100644
--- a/tests/test_episode_candidate_validation.py
+++ b/tests/test_episode_candidate_validation.py
@@ -83,6 +83,26 @@ def test_validator_rejects_selected_candidate_without_episode(self) -> None:
         with self.assertRaisesRegex(ValueError, "selected candidates"):
             validate_oracle(self.fixture, self.baseline, oracle)
 
+    def test_validator_rejects_selected_episodes_that_reuse_event_evidence(
+        self,
+    ) -> None:
+        oracle = evaluate_fixture(self.fixture, self.baseline)
+        segment = oracle["segments"][0]
+        first_episode, second_episode = segment["selected_episodes"]
+        candidates = {
+            candidate["candidate_id"]: candidate
+            for candidate in segment["candidate_windows"]
+        }
+        first_candidate = candidates[first_episode["candidate_id"]]
+        second_candidate = candidates[second_episode["candidate_id"]]
+        for field in ("event_ids", "first_seen", "last_seen"):
+            second_candidate[field] = copy.deepcopy(first_candidate[field])
+            second_episode[field] = copy.deepcopy(first_episode[field])
+        second_episode["finding_id"] = first_episode["finding_id"]
+
+        with self.assertRaisesRegex(ValueError, "reuse event evidence"):
+            validate_oracle(self.fixture, self.baseline, oracle)
+
     def test_validator_rejects_event_candidate_reference_drift(self) -> None:
         oracle = evaluate_fixture(self.fixture, self.baseline)
         oracle["segments"][0]["event_decisions"][0]["candidate_ids"] = []