diff --git a/auron-flink-extension/auron-flink-planner/src/main/java/org/apache/auron/flink/table/planner/processor/AuronOperatorFusionProcessor.java b/auron-flink-extension/auron-flink-planner/src/main/java/org/apache/auron/flink/table/planner/processor/AuronOperatorFusionProcessor.java
index fcd7d9720..1f9beadbc 100644
--- a/auron-flink-extension/auron-flink-planner/src/main/java/org/apache/auron/flink/table/planner/processor/AuronOperatorFusionProcessor.java
+++ b/auron-flink-extension/auron-flink-planner/src/main/java/org/apache/auron/flink/table/planner/processor/AuronOperatorFusionProcessor.java
@@ -197,7 +197,13 @@ void tryFuse(
             Map<Integer, Integer> consumerCount,
             Function<StreamExecTableSourceScan, DynamicTableSource> sourceResolver,
             ReadableConfig tableConfig) {
-        // Sole-consumer gate: multi-consumer fusion is out of scope (tracked separately).
+        // Sole-consumer gate: a source feeding more than one consumer is deliberately not fused.
+        // The native source runtime is single-plan / single-output — one source runs exactly one
+        // PhysicalPlanNode and emits one stream, so N distinct per-consumer Calc plans cannot share
+        // a single source. Declining loses nothing structurally: each consumer instead translates
+        // on its own over the source's shared row stream (a standalone native Calc when the Calc
+        // converts, otherwise Flink's codegen Calc), so no per-consumer plan is ever staged onto the
+        // shared source and there is no last-write-wins between consumers.
         if (consumerCount.getOrDefault(scan.getId(), 0) != 1) {
             return;
         }
diff --git a/auron-flink-extension/auron-flink-planner/src/test/java/org/apache/auron/flink/table/kafka/AuronKafkaSourceMergeITCase.java b/auron-flink-extension/auron-flink-planner/src/test/java/org/apache/auron/flink/table/kafka/AuronKafkaSourceMergeITCase.java
index 89114a9ff..36724665b 100644
--- a/auron-flink-extension/auron-flink-planner/src/test/java/org/apache/auron/flink/table/kafka/AuronKafkaSourceMergeITCase.java
+++ b/auron-flink-extension/auron-flink-planner/src/test/java/org/apache/auron/flink/table/kafka/AuronKafkaSourceMergeITCase.java
@@ -140,4 +140,47 @@ public void testSharedSourceUnionAllDoesNotFuseUnderDefaultReuse() {
         rows.sort(Comparator.comparingInt(o -> (int) o.getField(0)));
         assertThat(rows).isEqualTo(Arrays.asList(Row.of(21), Row.of(21), Row.of(22), Row.of(22), Row.of(23)));
     }
+
+    /**
+     * The same shared-source {@code UNION ALL} as {@link
+     * #testSharedSourceUnionAllDoesNotFuseUnderDefaultReuse}, but with object reuse enabled. Under
+     * object reuse Flink hands the <em>same</em> {@code AuronColumnarRowData} reference to both
+     * standalone Calc consumers with no defensive copy in between (the sibling test runs with reuse
+     * off, where Flink deep-copies the row to heap per consumer). The row set is the empirical
+     * guarantee here: the projections and filters convert, so each consumer runs as a standalone
+     * native Auron Calc that eagerly copies every column out of the shared columnar view into its
+     * own Arrow batch before returning, and neither consumer retains a reference to the reused row.
+     * If a native Calc instead aliased the shared row id or read the batch after it was recycled,
+     * the row set would collapse or corrupt (all rows folding onto the last row of a batch) or fault
+     * on freed off-heap buffers, so the row-set assertion below is what pins that native path safe.
+     *
+     * <p>The gate assertion still holds under object reuse: a multi-consumer source is never fused,
+     * so both Calcs remain standalone operators and {@code calcOperatorCount} is 2.
+     */
+    @Test
+    public void testSharedSourceUnionAllFanOutSafeWithObjectReuse() {
+        environment.setParallelism(1);
+        boolean prevObjectReuse = environment.getConfig().isObjectReuseEnabled();
+        environment.getConfig().enableObjectReuse();
+        try {
+            String sql =
+                    "SELECT `age` FROM T5 WHERE `age` > 20 " + "UNION ALL SELECT `age` + 1 FROM T5 WHERE `age` > 10";
+
+            assertThat(calcOperatorCount(sql))
+                    .as(
+                            "a shared (multi-consumer) source must not fuse under object reuse; both Calcs must remain operators")
+                    .isEqualTo(2);
+
+            List<Row> rows = CollectionUtil.iteratorToList(
+                    tableEnvironment.executeSql(sql).collect());
+            rows.sort(Comparator.comparingInt(o -> (int) o.getField(0)));
+            assertThat(rows).isEqualTo(Arrays.asList(Row.of(21), Row.of(21), Row.of(22), Row.of(22), Row.of(23)));
+        } finally {
+            if (prevObjectReuse) {
+                environment.getConfig().enableObjectReuse();
+            } else {
+                environment.getConfig().disableObjectReuse();
+            }
+        }
+    }
 }