diff --git a/integration_tests/src/main/python/csv_test.py b/integration_tests/src/main/python/csv_test.py
index 5227dd0a41c..5f593be88c1 100644
--- a/integration_tests/src/main/python/csv_test.py
+++ b/integration_tests/src/main/python/csv_test.py
@@ -463,7 +463,7 @@ def test_input_meta_fallback(spark_tmp_path, v1_enabled_list, disable_conf):
     updated_conf = copy_and_update(_enable_all_types_conf, {
         'spark.sql.sources.useV1SourceList': v1_enabled_list,
         disable_conf: 'false'})
-    assert_gpu_and_cpu_are_equal_collect(
+    assert_gpu_fallback_collect(
             lambda spark : spark.read.schema(gen.data_type)\
                     .csv(data_path)\
                     .filter(f.col('a') > 0)\
@@ -471,6 +471,7 @@ def test_input_meta_fallback(spark_tmp_path, v1_enabled_list, disable_conf):
                         'input_file_name()',
                         'input_file_block_start()',
                         'input_file_block_length()'),
+            cpu_fallback_class_name = 'FileSourceScanExec' if v1_enabled_list == 'csv' else 'BatchScanExec',
             conf=updated_conf)
 
 @allow_non_gpu('DataWritingCommandExec,ExecutedCommandExec,WriteFilesExec')
@@ -529,16 +530,18 @@ def test_round_trip_for_interval(spark_tmp_path, v1_enabled_list):
         lambda spark: spark.read.schema(schema).csv(data_path),
         conf=updated_conf)
 
-@allow_non_gpu(any = True)
+@allow_non_gpu('FileSourceScanExec', 'CollectLimitExec', 'DeserializeToObjectExec')
 def test_csv_read_case_insensitivity(spark_tmp_path):
     gen_list = [('one', int_gen), ('tWo', byte_gen), ('THREE', boolean_gen)]
     data_path = spark_tmp_path + '/CSV_DATA'
 
     with_cpu_session(lambda spark: gen_df(spark, gen_list).write.option('header', True).csv(data_path))
 
-    assert_gpu_and_cpu_are_equal_collect(
+    assert_cpu_and_gpu_are_equal_collect_with_capture(
         lambda spark: spark.read.option('header', True).csv(data_path).select('one', 'two', 'three'),
-        {'spark.sql.caseSensitive': 'false'}
+        exist_classes = 'GpuFileSourceScanExec',
+        non_exist_classes = 'FileSourceScanExec',
+        conf = {'spark.sql.caseSensitive': 'false'}
     )
 
 @allow_non_gpu('FileSourceScanExec', 'CollectLimitExec', 'DeserializeToObjectExec')
@@ -549,7 +552,13 @@ def test_csv_read_count(spark_tmp_path):
 
     with_cpu_session(lambda spark: gen_df(spark, gen_list).write.csv(data_path))
 
-    assert_gpu_and_cpu_row_counts_equal(lambda spark: spark.read.csv(data_path))
+    # TODO This does not really test that the GPU count actually runs on the GPU
+    # because this test has @allow_non_gpu for operators that fall back to CPU
+    # when Spark performs an initial scan to infer the schema. To resolve this
+    # we would need a new `assert_gpu_and_cpu_row_counts_equal_with_capture` function.
+    # Tracking issue: https://github.com/NVIDIA/spark-rapids/issues/9199
+    assert_gpu_and_cpu_row_counts_equal(lambda spark: spark.read.csv(data_path),
+        conf = {'spark.rapids.sql.explain': 'ALL'})
 
 @allow_non_gpu('FileSourceScanExec', 'CollectLimitExec', 'DeserializeToObjectExec')
 @pytest.mark.skipif(is_before_spark_340(), reason='`preferDate` is only supported in Spark 340+')
@@ -561,12 +570,18 @@ def test_csv_prefer_date_with_infer_schema(spark_tmp_path):
 
     with_cpu_session(lambda spark: gen_df(spark, gen_list).write.csv(data_path))
 
-    assert_gpu_and_cpu_are_equal_collect(lambda spark: spark.read.option("inferSchema", "true").csv(data_path))
-    assert_gpu_and_cpu_are_equal_collect(lambda spark: spark.read.option("inferSchema", "true").option("preferDate", "false").csv(data_path))
+    assert_cpu_and_gpu_are_equal_collect_with_capture(
+        lambda spark: spark.read.option("inferSchema", "true").csv(data_path),
+        exist_classes = 'GpuFileSourceScanExec',
+        non_exist_classes = 'FileSourceScanExec')
+    assert_cpu_and_gpu_are_equal_collect_with_capture(
+        lambda spark: spark.read.option("inferSchema", "true").option("preferDate", "false").csv(data_path),
+        exist_classes = 'GpuFileSourceScanExec',
+        non_exist_classes = 'FileSourceScanExec')
 
 @allow_non_gpu('FileSourceScanExec')
 @pytest.mark.skipif(is_before_spark_340(), reason='enableDateTimeParsingFallback is supported from Spark3.4.0')
-@pytest.mark.parametrize('filename,schema',[("date.csv", _date_schema), ("date.csv", _ts_schema,),
+@pytest.mark.parametrize('filename,schema',[("date.csv", _date_schema), ("date.csv", _ts_schema),
                                             ("ts.csv", _ts_schema)])
 def test_csv_datetime_parsing_fallback_cpu_fallback(std_input_path, filename, schema):
     data_path = std_input_path + "/" + filename