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Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0024c2a78a898412/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"mobile_wt": "182", "support": 28, "avg_response": 0.5678571428571428}, {"mobile_wt": "185", "support": 27, "avg_response": 0.5407407407407407}, {"mobile_wt": "101", "support": 27, "avg_response": 0.5074074074074074}, {"mobile_wt": "199", "support": 26, "avg_response": 0.48846153846153845}, {"mobile_wt": "146", "support": 26, "avg_response": 0.43846153846153846}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0024c2a78a898412/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m10
+-- family_id: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_m10_0024c2a78a898412
+-- problem_id: v2p_m10_e4ed0ff72a288028
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "mobile_wt",
+    COUNT(*) AS support,
+    AVG("m_dep") AS avg_response
+FROM "m10"
+GROUP BY "mobile_wt"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0024c2a78a898412/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m10_0024c2a78a898412\n-- problem_id: v2p_m10_e4ed0ff72a288028\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"mobile_wt\",\n    COUNT(*) AS support,\n    AVG(\"m_dep\") AS avg_response\nFROM \"m10\"\nGROUP BY \"mobile_wt\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m10_0024c2a78a898412\\n-- problem_id: v2p_m10_e4ed0ff72a288028\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"mobile_wt\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"m_dep\\\") AS avg_response\\nFROM \\\"m10\\\"\\nGROUP BY \\\"mobile_wt\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"mobile_wt\", \"support\", \"avg_response\"], \"rows\": [{\"mobile_wt\": \"182\", \"support\": 28, \"avg_response\": 0.5678571428571428}, {\"mobile_wt\": \"185\", \"support\": 27, \"avg_response\": 0.5407407407407407}, {\"mobile_wt\": \"101\", \"support\": 27, \"avg_response\": 0.5074074074074074}, {\"mobile_wt\": \"199\", \"support\": 26, \"avg_response\": 0.48846153846153845}, {\"mobile_wt\": \"146\", \"support\": 26, \"avg_response\": 0.43846153846153846}, {\"mobile_wt\": \"198\", \"support\": 25, \"avg_response\": 0.544}, {\"mobile_wt\": \"88\", \"support\": 25, \"avg_response\": 0.4}, {\"mobile_wt\": \"105\", \"support\": 25, \"avg_response\": 0.38799999999999996}, {\"mobile_wt\": \"89\", \"support\": 24, \"avg_response\": 0.5166666666666667}, {\"mobile_wt\": \"131\", \"support\": 23, \"avg_response\": 0.5869565217391305}, {\"mobile_wt\": \"160\", \"support\": 23, \"avg_response\": 0.5434782608695652}, {\"mobile_wt\": \"114\", \"support\": 23, \"avg_response\": 0.5260869565217391}, {\"mobile_wt\": \"145\", \"support\": 23, \"avg_response\": 0.43043478260869567}, {\"mobile_wt\": \"169\", \"support\": 22, \"avg_response\": 0.5545454545454546}, {\"mobile_wt\": \"104\", \"support\": 22, \"avg_response\": 0.5181818181818182}, {\"mobile_wt\": \"187\", \"support\": 22, \"avg_response\": 0.5181818181818182}, {\"mobile_wt\": \"138\", \"support\": 22, \"avg_response\": 0.5}, {\"mobile_wt\": \"134\", \"support\": 22, \"avg_response\": 0.4636363636363636}, {\"mobile_wt\": \"124\", \"support\": 21, \"avg_response\": 0.6238095238095238}, {\"mobile_wt\": \"111\", \"support\": 21, \"avg_response\": 0.5428571428571429}, {\"mobile_wt\": \"80\", \"support\": 21, \"avg_response\": 0.48571428571428565}, {\"mobile_wt\": \"196\", \"support\": 20, \"avg_response\": 0.5}, {\"mobile_wt\": \"158\", \"support\": 20, \"avg_response\": 0.485}, {\"mobile_wt\": \"102\", \"support\": 20, \"avg_response\": 0.45}, {\"mobile_wt\": \"100\", \"support\": 20, \"avg_response\": 0.43499999999999994}, {\"mobile_wt\": \"150\", \"support\": 19, \"avg_response\": 0.6105263157894737}, {\"mobile_wt\": \"200\", \"support\": 19, \"avg_response\": 0.5684210526315789}, {\"mobile_wt\": \"103\", \"support\": 19, \"avg_response\": 0.5473684210526316}, {\"mobile_wt\": \"141\", \"support\": 19, \"avg_response\": 0.5368421052631579}, {\"mobile_wt\": \"197\", \"support\": 19, \"avg_response\": 0.5210526315789474}, {\"mobile_wt\": \"159\", \"support\": 19, \"avg_response\": 0.5}, {\"mobile_wt\": \"86\", \"support\": 19, \"avg_response\": 0.48947368421052634}, {\"mobile_wt\": \"83\", \"support\": 19, \"avg_response\": 0.4789473684210526}, {\"mobile_wt\": \"123\", \"support\": 19, \"avg_response\": 0.37894736842105264}, {\"mobile_wt\": \"172\", \"support\": 18, \"avg_response\": 0.5222222222222223}, {\"mobile_wt\": \"109\", \"support\": 18, \"avg_response\": 0.5166666666666667}, {\"mobile_wt\": \"107\", \"support\": 18, \"avg_response\": 0.4833333333333333}, {\"mobile_wt\": \"151\", \"support\": 18, \"avg_response\": 0.4833333333333333}, {\"mobile_wt\": \"153\", \"support\": 18, \"avg_response\": 0.46111111111111114}, {\"mobile_wt\": \"186\", \"support\": 18, \"avg_response\": 0.43333333333333335}, {\"mobile_wt\": \"157\", \"support\": 18, \"avg_response\": 0.4222222222222223}, {\"mobile_wt\": \"155\", \"support\": 18, \"avg_response\": 0.4}, {\"mobile_wt\": \"135\", \"support\": 17, \"avg_response\": 0.6176470588235294}, {\"mobile_wt\": \"113\", \"support\": 17, \"avg_response\": 0.5529411764705883}, {\"mobile_wt\": \"162\", \"support\": 17, \"avg_response\": 0.5470588235294118}, {\"mobile_wt\": \"181\", \"support\": 17, \"avg_response\": 0.5470588235294118}, {\"mobile_wt\": \"112\", \"support\": 17, \"avg_response\": 0.5352941176470588}, {\"mobile_wt\": \"93\", \"support\": 17, \"avg_response\": 0.5294117647058824}, {\"mobile_wt\": \"84\", \"support\": 17, \"avg_response\": 0.5058823529411764}, {\"mobile_wt\": \"190\", \"support\": 17, \"avg_response\": 0.47058823529411764}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.19}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0024c2a78a898412/run_manifest.json

@@ -0,0 +1,60 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T16:08:44.653146+00:00",
+  "ended_at": "2026-05-19T16:08:44.655019+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_0024c2a78a898412",
+    "problem_id": "v2p_m10_e4ed0ff72a288028",
+    "dataset_id": "m10",
+    "template_id": "tpl_cardinality_high_card_response_stability",
+    "template_name": "High-Cardinality Response Stability",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "high_cardinality_response_stability",
+    "intended_facet_id": "target_cardinality_cross_section",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=m_dep, key_col=mobile_wt.",
+    "bindings": {
+      "key_col": "mobile_wt",
+      "measure_col": "m_dep",
+      "min_support": 5
+    },
+    "binding_roles": [
+      "key_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {key_col},\n    COUNT(*) AS support,\n    AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;",
+    "notes": [
+      "default_facets=target_cardinality_cross_section",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_0024c2a78a898412.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0024c2a78a898412/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_01f2704572cc1ea9/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "4", "support": 274, "support_share": 0.137, "support_rank": 1}, {"value_label": "7", "support": 259, "support_share": 0.1295, "support_rank": 2}, {"value_label": "8", "support": 256, "support_share": 0.128, "support_rank": 3}, {"value_label": "2", "support": 247, "support_share": 0.1235, "support_rank": 4}, {"value_label": "3", "support": 246, "support_share": 0.123, "support_rank": 5}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_01f2704572cc1ea9/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m10
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m10_01f2704572cc1ea9
+-- problem_id: v2p_m10_3a432d4bb8186ff3
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "n_cores" AS value_label, COUNT(*) AS support
+    FROM "m10"
+    GROUP BY "n_cores"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_01f2704572cc1ea9/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m10_01f2704572cc1ea9\n-- problem_id: v2p_m10_3a432d4bb8186ff3\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"n_cores\" AS value_label, COUNT(*) AS support\n    FROM \"m10\"\n    GROUP BY \"n_cores\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m10_01f2704572cc1ea9\\n-- problem_id: v2p_m10_3a432d4bb8186ff3\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"n_cores\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m10\\\"\\n    GROUP BY \\\"n_cores\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"4\", \"support\": 274, \"support_share\": 0.137, \"support_rank\": 1}, {\"value_label\": \"7\", \"support\": 259, \"support_share\": 0.1295, \"support_rank\": 2}, {\"value_label\": \"8\", \"support\": 256, \"support_share\": 0.128, \"support_rank\": 3}, {\"value_label\": \"2\", \"support\": 247, \"support_share\": 0.1235, \"support_rank\": 4}, {\"value_label\": \"3\", \"support\": 246, \"support_share\": 0.123, \"support_rank\": 5}, {\"value_label\": \"5\", \"support\": 246, \"support_share\": 0.123, \"support_rank\": 6}, {\"value_label\": \"1\", \"support\": 242, \"support_share\": 0.121, \"support_rank\": 7}, {\"value_label\": \"6\", \"support\": 230, \"support_share\": 0.115, \"support_rank\": 8}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.88}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_01f2704572cc1ea9/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T16:08:44.625337+00:00",
+  "ended_at": "2026-05-19T16:08:44.626828+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_01f2704572cc1ea9",
+    "problem_id": "v2p_m10_3a432d4bb8186ff3",
+    "dataset_id": "m10",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "value_imbalance_profile",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=n_cores.",
+    "bindings": {
+      "group_col": "n_cores"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_01f2704572cc1ea9.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_01f2704572cc1ea9/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=blue, measure_col=pc.
+Result preview: [{"blue": "0", "percentile_measure": 19.0}, {"blue": "1", "percentile_measure": 18.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/generated_sql.sql

@@ -0,0 +1,73 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m10
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_m10_02473088168c1688
+-- problem_id: v2p_m10_176a936d140f470a
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ordered" AS (
+  SELECT
+    "blue",
+    CAST("pc" AS REAL) AS "pc_value",
+    ROW_NUMBER() OVER (
+      PARTITION BY "blue"
+      ORDER BY CAST("pc" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "blue"
+    ) AS "cnt"
+  FROM "m10"
+  WHERE "blue" IS NOT NULL
+    AND "pc" IS NOT NULL
+),
+"targets" AS (
+  SELECT
+    "group_counts"."blue",
+    "group_counts"."cnt",
+    (1.0 + 0.9 * ("group_counts"."cnt" - 1)) AS "target_rn",
+    CAST((1.0 + 0.9 * ("group_counts"."cnt" - 1)) AS INTEGER) AS "lower_rn",
+    CAST((1.0 + 0.9 * ("group_counts"."cnt" - 1)) AS INTEGER) +
+      CASE
+        WHEN (1.0 + 0.9 * ("group_counts"."cnt" - 1)) > CAST((1.0 + 0.9 * ("group_counts"."cnt" - 1)) AS INTEGER) THEN 1
+        ELSE 0
+      END AS "upper_rn"
+  FROM (
+    SELECT
+      "blue",
+      MAX("cnt") AS "cnt"
+    FROM "ordered"
+    GROUP BY "blue"
+  ) AS "group_counts"
+  WHERE "group_counts"."cnt" >= 5
+),
+"picked" AS (
+  SELECT
+    o."blue",
+    t."target_rn",
+    t."lower_rn",
+    t."upper_rn",
+    MAX(CASE WHEN o."rn" = t."lower_rn" THEN o."pc_value" END) AS "lower_value",
+    MAX(CASE WHEN o."rn" = t."upper_rn" THEN o."pc_value" END) AS "upper_value"
+  FROM "ordered" AS o
+  JOIN "targets" AS t
+    ON o."blue" = t."blue"
+  GROUP BY
+    o."blue",
+    t."target_rn",
+    t."lower_rn",
+    t."upper_rn"
+)
+SELECT
+  "blue",
+  CASE
+    WHEN "lower_rn" = "upper_rn" THEN "lower_value"
+    ELSE "lower_value" + ("target_rn" - "lower_rn") * ("upper_value" - "lower_value")
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    \"blue\",\n    CAST(\"pc\" AS REAL) AS \"pc_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"blue\"\n      ORDER BY CAST(\"pc\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"blue\"\n    ) AS \"cnt\"\n  FROM \"m10\"\n  WHERE \"blue\" IS NOT NULL\n    AND \"pc\" IS NOT NULL\n),\n\"targets\" AS (\n  SELECT\n    \"group_counts\".\"blue\",\n    \"group_counts\".\"cnt\",\n    (1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS \"target_rn\",\n    CAST((1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n    CAST((1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS INTEGER) +\n      CASE\n        WHEN (1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) > CAST((1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS INTEGER) THEN 1\n        ELSE 0\n      END AS \"upper_rn\"\n  FROM (\n    SELECT\n      \"blue\",\n      MAX(\"cnt\") AS \"cnt\"\n    FROM \"ordered\"\n    GROUP BY \"blue\"\n  ) AS \"group_counts\"\n  WHERE \"group_counts\".\"cnt\" >= 5\n),\n\"picked\" AS (\n  SELECT\n    o.\"blue\",\n    t.\"target_rn\",\n    t.\"lower_rn\",\n    t.\"upper_rn\",\n    MAX(CASE WHEN o.\"rn\" = t.\"lower_rn\" THEN o.\"pc_value\" END) AS \"lower_value\",\n    MAX(CASE WHEN o.\"rn\" = t.\"upper_rn\" THEN o.\"pc_value\" END) AS \"upper_value\"\n  FROM \"ordered\" AS o\n  JOIN \"targets\" AS t\n    ON o.\"blue\" = t.\"blue\"\n  GROUP BY\n    o.\"blue\",\n    t.\"target_rn\",\n    t.\"lower_rn\",\n    t.\"upper_rn\"\n)\nSELECT\n  \"blue\",\n  CASE\n    WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n    ELSE \"lower_value\" + (\"target_rn\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"blue\\\",\\n    CAST(\\\"pc\\\" AS REAL) AS \\\"pc_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"blue\\\"\\n      ORDER BY CAST(\\\"pc\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"blue\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"m10\\\"\\n  WHERE \\\"blue\\\" IS NOT NULL\\n    AND \\\"pc\\\" IS NOT NULL\\n),\\n\\\"targets\\\" AS (\\n  SELECT\\n    \\\"group_counts\\\".\\\"blue\\\",\\n    \\\"group_counts\\\".\\\"cnt\\\",\\n    (1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS \\\"target_rn\\\",\\n    CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) +\\n      CASE\\n        WHEN (1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n        ELSE 0\\n      END AS \\\"upper_rn\\\"\\n  FROM (\\n    SELECT\\n      \\\"blue\\\",\\n      MAX(\\\"cnt\\\") AS \\\"cnt\\\"\\n    FROM \\\"ordered\\\"\\n    GROUP BY \\\"blue\\\"\\n  ) AS \\\"group_counts\\\"\\n  WHERE \\\"group_counts\\\".\\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    o.\\\"blue\\\",\\n    t.\\\"target_rn\\\",\\n    t.\\\"lower_rn\\\",\\n    t.\\\"upper_rn\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"lower_rn\\\" THEN o.\\\"pc_value\\\" END) AS \\\"lower_value\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"upper_rn\\\" THEN o.\\\"pc_value\\\" END) AS \\\"upper_value\\\"\\n  FROM \\\"ordered\\\" AS o\\n  JOIN \\\"targets\\\" AS t\\n    ON o.\\\"blue\\\" = t.\\\"blue\\\"\\n  GROUP BY\\n    o.\\\"blue\\\",\\n    t.\\\"target_rn\\\",\\n    t.\\\"lower_rn\\\",\\n    t.\\\"upper_rn\\\"\\n)\\nSELECT\\n  \\\"blue\\\",\\n  CASE\\n    WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n    ELSE \\\"lower_value\\\" + (\\\"target_rn\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"blue\", \"percentile_measure\"], \"rows\": [{\"blue\": \"0\", \"percentile_measure\": 19.0}, {\"blue\": \"1\", \"percentile_measure\": 18.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 20.47}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T15:55:55.861793+00:00",
+  "ended_at": "2026-05-19T15:56:42.895257+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_02473088168c1688",
+    "problem_id": "v2p_m10_176a936d140f470a",
+    "dataset_id": "m10",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=blue, measure_col=pc.",
+    "bindings": {
+      "group_col": "blue",
+      "measure_col": "pc",
+      "top_k": 15,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 13.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=2/2",
+      "binding_index=90"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_02473088168c1688.sql",
+  "usage_summary": {
+    "dataset_id": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_02473088168c1688",
+    "api_calls": 0,
+    "input_tokens": 15251,
+    "cached_input_tokens": 14720,
+    "output_tokens": 3130,
+    "total_tokens": 18381,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 46003.24,
+    "sql_execution_elapsed_ms_total": 20.47,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:55:58.694748+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2830.05, "started_at": "2026-05-19T15:55:55.863842+00:00", "ended_at": "2026-05-19T15:55:58.693920+00:00", "prompt_metrics": {"chars": 10669, "bytes_utf8": 10669, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-6f8e-7042-bf6e-10585bf1936e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:56:42.871471+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 43173.19, "started_at": "2026-05-19T15:55:59.696525+00:00", "ended_at": "2026-05-19T15:56:42.869766+00:00", "prompt_metrics": {"chars": 10669, "bytes_utf8": 10669, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 2016, "bytes_utf8": 2016, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15251, "cached_input_tokens": 14720, "output_tokens": 3130, "reasoning_output_tokens": 2459}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"blue\\\",\\n    CAST(\\\"pc\\\" AS REAL) AS \\\"pc_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"blue\\\"\\n      ORDER BY CAST(\\\"pc\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"blue\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"m10\\\"\\n  WHERE \\\"blue\\\" IS NOT NULL\\n    AND \\\"pc\\\" IS NOT NULL\\n),\\n\\\"targets\\\" AS (\\n  SELECT\\n    \\\"group_counts\\\".\\\"blue\\\",\\n    \\\"group_counts\\\".\\\"cnt\\\",\\n    (1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS \\\"target_rn\\\",\\n    CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) +\\n      CASE\\n        WHEN (1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n        ELSE 0\\n      END AS \\\"upper_rn\\\"\\n  FROM (\\n    SELECT\\n      \\\"blue\\\",\\n      MAX(\\\"cnt\\\") AS \\\"cnt\\\"\\n    FROM \\\"ordered\\\"\\n    GROUP B"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m10_02473088168c1688",
+  "api_calls": 0,
+  "input_tokens": 15251,
+  "cached_input_tokens": 14720,
+  "output_tokens": 3130,
+  "total_tokens": 18381,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 46003.24,
+  "sql_execution_elapsed_ms_total": 20.47,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T16:02:15.254825+00:00",
+  "ended_at": "2026-05-19T16:02:22.827055+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_048887a06e2d2079",
+    "problem_id": "v2p_m10_6292bca59b754dc4",
+    "dataset_id": "m10",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=sc_h.",
+    "bindings": {
+      "measure_col": "sc_h",
+      "top_k": 13,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 16.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1",
+      "binding_index=108"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:02:18.565774+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3307.48, "started_at": "2026-05-19T16:02:15.257526+00:00", "ended_at": "2026-05-19T16:02:18.565042+00:00", "prompt_metrics": {"chars": 10439, "bytes_utf8": 10439, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-395f-73f3-8a9a-3a198a49a490\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:02:22.826934+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3259.45, "started_at": "2026-05-19T16:02:19.566724+00:00", "ended_at": "2026-05-19T16:02:22.826202+00:00", "prompt_metrics": {"chars": 10439, "bytes_utf8": 10439, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-4a51-7ce0-b14f-9745e60466ea\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1025860d399e98b2/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "10", "support": 122, "support_share": 0.061, "support_rank": 1}, {"value_label": "7", "support": 119, "support_share": 0.0595, "support_rank": 2}, {"value_label": "9", "support": 112, "support_share": 0.056, "support_rank": 3}, {"value_label": "20", "support": 110, "support_share": 0.055, "support_rank": 4}, {"value_label": "1", "support": 104, "support_share": 0.052, "support_rank": 5}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1025860d399e98b2/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m10
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_m10_1025860d399e98b2
+-- problem_id: v2p_m10_dbf91b5012625ab8
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "pc" AS value_label, COUNT(*) AS support
+    FROM "m10"
+    GROUP BY "pc"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1025860d399e98b2/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m10_1025860d399e98b2\n-- problem_id: v2p_m10_dbf91b5012625ab8\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"pc\" AS value_label, COUNT(*) AS support\n    FROM \"m10\"\n    GROUP BY \"pc\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m10_1025860d399e98b2\\n-- problem_id: v2p_m10_dbf91b5012625ab8\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"pc\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m10\\\"\\n    GROUP BY \\\"pc\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"10\", \"support\": 122, \"support_share\": 0.061, \"support_rank\": 1}, {\"value_label\": \"7\", \"support\": 119, \"support_share\": 0.0595, \"support_rank\": 2}, {\"value_label\": \"9\", \"support\": 112, \"support_share\": 0.056, \"support_rank\": 3}, {\"value_label\": \"20\", \"support\": 110, \"support_share\": 0.055, \"support_rank\": 4}, {\"value_label\": \"1\", \"support\": 104, \"support_share\": 0.052, \"support_rank\": 5}, {\"value_label\": \"14\", \"support\": 104, \"support_share\": 0.052, \"support_rank\": 6}, {\"value_label\": \"0\", \"support\": 101, \"support_share\": 0.0505, \"support_rank\": 7}, {\"value_label\": \"17\", \"support\": 99, \"support_share\": 0.0495, \"support_rank\": 8}, {\"value_label\": \"2\", \"support\": 99, \"support_share\": 0.0495, \"support_rank\": 9}, {\"value_label\": \"4\", \"support\": 95, \"support_share\": 0.0475, \"support_rank\": 10}, {\"value_label\": \"6\", \"support\": 95, \"support_share\": 0.0475, \"support_rank\": 11}, {\"value_label\": \"3\", \"support\": 93, \"support_share\": 0.0465, \"support_rank\": 12}, {\"value_label\": \"15\", \"support\": 92, \"support_share\": 0.046, \"support_rank\": 13}, {\"value_label\": \"12\", \"support\": 90, \"support_share\": 0.045, \"support_rank\": 14}, {\"value_label\": \"8\", \"support\": 89, \"support_share\": 0.0445, \"support_rank\": 15}, {\"value_label\": \"16\", \"support\": 88, \"support_share\": 0.044, \"support_rank\": 16}, {\"value_label\": \"13\", \"support\": 85, \"support_share\": 0.0425, \"support_rank\": 17}, {\"value_label\": \"19\", \"support\": 83, \"support_share\": 0.0415, \"support_rank\": 18}, {\"value_label\": \"18\", \"support\": 82, \"support_share\": 0.041, \"support_rank\": 19}, {\"value_label\": \"11\", \"support\": 79, \"support_share\": 0.0395, \"support_rank\": 20}, {\"value_label\": \"5\", \"support\": 59, \"support_share\": 0.0295, \"support_rank\": 21}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.01}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1025860d399e98b2/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T16:08:44.627276+00:00",
+  "ended_at": "2026-05-19T16:08:44.628895+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_1025860d399e98b2",
+    "problem_id": "v2p_m10_dbf91b5012625ab8",
+    "dataset_id": "m10",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=pc.",
+    "bindings": {
+      "group_col": "pc"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_1025860d399e98b2.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1025860d399e98b2/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=dual_sim, measure_col=mobile_wt.
+Result preview: [{"dual_sim": "0", "px_height": 730, "total_measure": 809.0, "share_within_group": 0.5866484895070412}, {"dual_sim": "1", "px_height": 371, "total_measure": 806.0, "share_within_group": 0.5652332463743723}, {"dual_sim": "0", "px_height": 344, "total_measure": 684.0, "share_within_group": 0.49600440892807934}, {"dual_sim": "0", "px_height": 168, "total_measure": 654.0, "share_within_group": 0.47424982958912854}, {"dual_sim": "0", "px_height": 273, "total_measure": 606.0, "share_within_group": 0.4394425026468072}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m10
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m10_10e58905a124d212
+-- problem_id: v2p_m10_4254443331124f5c
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "dual_sim",
+  CAST("px_height" AS INTEGER) AS "px_height",
+  SUM(CAST("mobile_wt" AS REAL)) AS total_measure,
+  SUM(CAST("mobile_wt" AS REAL)) * 100.0 / SUM(SUM(CAST("mobile_wt" AS REAL))) OVER (PARTITION BY "dual_sim") AS share_within_group
+FROM "m10"
+GROUP BY "dual_sim", CAST("px_height" AS INTEGER)
+ORDER BY share_within_group DESC
+LIMIT 12;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"dual_sim\",\n  CAST(\"px_height\" AS INTEGER) AS \"px_height\",\n  SUM(CAST(\"mobile_wt\" AS REAL)) AS total_measure,\n  SUM(CAST(\"mobile_wt\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"mobile_wt\" AS REAL))) OVER (PARTITION BY \"dual_sim\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"dual_sim\", CAST(\"px_height\" AS INTEGER)\nORDER BY share_within_group DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"dual_sim\\\",\\n  CAST(\\\"px_height\\\" AS INTEGER) AS \\\"px_height\\\",\\n  SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"mobile_wt\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"mobile_wt\\\" AS REAL))) OVER (PARTITION BY \\\"dual_sim\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\", CAST(\\\"px_height\\\" AS INTEGER)\\nORDER BY share_within_group DESC\\nLIMIT 12;\", \"columns\": [\"dual_sim\", \"px_height\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"dual_sim\": \"0\", \"px_height\": 730, \"total_measure\": 809.0, \"share_within_group\": 0.5866484895070412}, {\"dual_sim\": \"1\", \"px_height\": 371, \"total_measure\": 806.0, \"share_within_group\": 0.5652332463743723}, {\"dual_sim\": \"0\", \"px_height\": 344, \"total_measure\": 684.0, \"share_within_group\": 0.49600440892807934}, {\"dual_sim\": \"0\", \"px_height\": 168, \"total_measure\": 654.0, \"share_within_group\": 0.47424982958912854}, {\"dual_sim\": \"0\", \"px_height\": 273, \"total_measure\": 606.0, \"share_within_group\": 0.4394425026468072}, {\"dual_sim\": \"0\", \"px_height\": 347, \"total_measure\": 598.0, \"share_within_group\": 0.4336412814897536}, {\"dual_sim\": \"0\", \"px_height\": 356, \"total_measure\": 593.0, \"share_within_group\": 0.4300155182665951}, {\"dual_sim\": \"1\", \"px_height\": 447, \"total_measure\": 594.0, \"share_within_group\": 0.4165614743751578}, {\"dual_sim\": \"0\", \"px_height\": 674, \"total_measure\": 564.0, \"share_within_group\": 0.40898609157227594}, {\"dual_sim\": \"1\", \"px_height\": 157, \"total_measure\": 577.0, \"share_within_group\": 0.4046396813374849}, {\"dual_sim\": \"1\", \"px_height\": 217, \"total_measure\": 556.0, \"share_within_group\": 0.38991276052624196}, {\"dual_sim\": \"0\", \"px_height\": 881, \"total_measure\": 530.0, \"share_within_group\": 0.38433090165479833}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.0}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T15:37:46.361382+00:00",
+  "ended_at": "2026-05-19T15:37:59.129293+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_10e58905a124d212",
+    "problem_id": "v2p_m10_4254443331124f5c",
+    "dataset_id": "m10",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=dual_sim, measure_col=mobile_wt.",
+    "bindings": {
+      "group_col": "dual_sim",
+      "measure_col": "mobile_wt",
+      "item_col": "px_height",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 170.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/2",
+      "binding_index=32"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_10e58905a124d212.sql",
+  "usage_summary": {
+    "dataset_id": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_10e58905a124d212",
+    "api_calls": 0,
+    "input_tokens": 15338,
+    "cached_input_tokens": 12032,
+    "output_tokens": 612,
+    "total_tokens": 15950,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 12757.29,
+    "sql_execution_elapsed_ms_total": 6.0,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:37:59.121772+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12757.29, "started_at": "2026-05-19T15:37:46.363568+00:00", "ended_at": "2026-05-19T15:37:59.120895+00:00", "prompt_metrics": {"chars": 10924, "bytes_utf8": 10924, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 672, "bytes_utf8": 672, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15338, "cached_input_tokens": 12032, "output_tokens": 612, "reasoning_output_tokens": 420}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"dual_sim\\\",\\n  CAST(\\\"px_height\\\" AS INTEGER) AS \\\"px_height\\\",\\n  SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"mobile_wt\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"mobile_wt\\\" AS REAL))) OVER (PARTITION BY \\\"dual_sim\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\", CAST(\\\"px_height\\\" AS INTEGER)\\nORDER BY share_within_group DESC\\nLIMIT 12;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"dual_sim\\\", item_col=\\\"px_height\\\", and measure_col=\\\"mobile_wt\\\". Cast text-stored numeric fields to INTEGER/REAL for SQLite aggregation semantics.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m10_10e58905a124d212",
+  "api_calls": 0,
+  "input_tokens": 15338,
+  "cached_input_tokens": 12032,
+  "output_tokens": 612,
+  "total_tokens": 15950,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 12757.29,
+  "sql_execution_elapsed_ms_total": 6.0,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=wifi, measure_col=m_dep.
+Result preview: [{"wifi": "0", "group_value": 502.9}, {"wifi": "1", "group_value": 500.6}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m10
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_m10_10f483ff9d7d2429
+-- problem_id: v2p_m10_d3c236348e9ab738
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "wifi", SUM(CAST("m_dep" AS REAL)) AS group_value
+    FROM "m10"
+    GROUP BY "wifi"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."wifi", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"wifi\", SUM(CAST(\"m_dep\" AS REAL)) AS group_value\n    FROM \"m10\"\n    GROUP BY \"wifi\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"wifi\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"wifi\\\", SUM(CAST(\\\"m_dep\\\" AS REAL)) AS group_value\\n    FROM \\\"m10\\\"\\n    GROUP BY \\\"wifi\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"wifi\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"wifi\", \"group_value\"], \"rows\": [{\"wifi\": \"0\", \"group_value\": 502.9}, {\"wifi\": \"1\", \"group_value\": 500.6}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.65}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T15:46:28.043334+00:00",
+  "ended_at": "2026-05-19T15:46:43.165580+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_10f483ff9d7d2429",
+    "problem_id": "v2p_m10_d3c236348e9ab738",
+    "dataset_id": "m10",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=wifi, measure_col=m_dep.",
+    "bindings": {
+      "group_col": "wifi",
+      "measure_col": "m_dep",
+      "top_k": 18,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 0.7,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=2/2",
+      "binding_index=73"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_10f483ff9d7d2429.sql",
+  "usage_summary": {
+    "dataset_id": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_10f483ff9d7d2429",
+    "api_calls": 0,
+    "input_tokens": 15350,
+    "cached_input_tokens": 12032,
+    "output_tokens": 389,
+    "total_tokens": 15739,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 15116.17,
+    "sql_execution_elapsed_ms_total": 1.65,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:46:43.162174+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15116.17, "started_at": "2026-05-19T15:46:28.044744+00:00", "ended_at": "2026-05-19T15:46:43.160953+00:00", "prompt_metrics": {"chars": 11051, "bytes_utf8": 11051, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 611, "bytes_utf8": 611, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15350, "cached_input_tokens": 12032, "output_tokens": 389, "reasoning_output_tokens": 220}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"wifi\\\", SUM(CAST(\\\"m_dep\\\" AS REAL)) AS group_value\\n    FROM \\\"m10\\\"\\n    GROUP BY \\\"wifi\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"wifi\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the Relative-to-Total Extreme Threshold template with group_col=\\\"wifi\\\" and measure_col=\\\"m_dep\\\" on table \\\"m10\\\". Cast \\\"m_dep\\\" to REAL because the schema stores it as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m10_10f483ff9d7d2429",
+  "api_calls": 0,
+  "input_tokens": 15350,
+  "cached_input_tokens": 12032,
+  "output_tokens": 389,
+  "total_tokens": 15739,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 15116.17,
+  "sql_execution_elapsed_ms_total": 1.65,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T16:08:37.453562+00:00",
+  "ended_at": "2026-05-19T16:08:44.581772+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_115e551e0f0b1c16",
+    "problem_id": "v2p_m10_5716c0bc58d88cd6",
+    "dataset_id": "m10",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=m_dep, measure_col=battery_power.",
+    "bindings": {
+      "group_col": "m_dep",
+      "measure_col": "battery_power",
+      "top_k": 15,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 1487.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=2/2",
+      "binding_index=140"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:08:40.339634+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2883.48, "started_at": "2026-05-19T16:08:37.455351+00:00", "ended_at": "2026-05-19T16:08:40.338869+00:00", "prompt_metrics": {"chars": 10601, "bytes_utf8": 10601, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-0e4a-7d13-a779-9fc524da9466\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:08:44.581623+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3239.15, "started_at": "2026-05-19T16:08:41.341260+00:00", "ended_at": "2026-05-19T16:08:44.580454+00:00", "prompt_metrics": {"chars": 10601, "bytes_utf8": 10601, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-1d74-7633-92c1-5f5fd54c16cb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=clock_speed.
+Result preview: [{"empirical_cdf_at_threshold": 0.7525}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/generated_sql.sql

@@ -0,0 +1,15 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m10
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_threshold_rarity_cdf
+-- query_record_id: v2q_m10_12258b9956c95e37
+-- problem_id: v2p_m10_a40409cfd35e096f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST("clock_speed" AS REAL) <= 2.2 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold"
+FROM "m10";

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"clock_speed\" AS REAL) <= 2.2 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"clock_speed\\\" AS REAL) <= 2.2 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7525}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.63}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T16:02:57.066122+00:00",
+  "ended_at": "2026-05-19T16:03:05.790907+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_12258b9956c95e37",
+    "problem_id": "v2p_m10_a40409cfd35e096f",
+    "dataset_id": "m10",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=clock_speed.",
+    "bindings": {
+      "measure_col": "clock_speed",
+      "top_k": 13,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 2.2,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/1",
+      "binding_index=113"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_12258b9956c95e37.sql",
+  "usage_summary": {
+    "dataset_id": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_12258b9956c95e37",
+    "api_calls": 0,
+    "input_tokens": 15206,
+    "cached_input_tokens": 12032,
+    "output_tokens": 279,
+    "total_tokens": 15485,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 8719.46,
+    "sql_execution_elapsed_ms_total": 0.63,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:03:05.788529+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8719.46, "started_at": "2026-05-19T16:02:57.068281+00:00", "ended_at": "2026-05-19T16:03:05.787774+00:00", "prompt_metrics": {"chars": 10451, "bytes_utf8": 10451, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 405, "bytes_utf8": 405, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15206, "cached_input_tokens": 12032, "output_tokens": 279, "reasoning_output_tokens": 170}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"clock_speed\\\" AS REAL) <= 2.2 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col=\\\"clock_speed\\\" and measure_threshold=2.2. CAST to REAL ensures correct numeric comparison because the column is stored as TEXT in the SQLite schema snapshot.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m10_12258b9956c95e37",
+  "api_calls": 0,
+  "input_tokens": 15206,
+  "cached_input_tokens": 12032,
+  "output_tokens": 279,
+  "total_tokens": 15485,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 8719.46,
+  "sql_execution_elapsed_ms_total": 0.63,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=blue.
+Result preview: [{"blue": "0", "row_count": 1010}, {"blue": "1", "row_count": 990}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m10
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_m10_15257ddf85c4e420
+-- problem_id: v2p_m10_484055a5fd2524f4
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "blue", COUNT(*) AS row_count
+FROM "m10"
+GROUP BY "blue"
+ORDER BY row_count DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"blue\", COUNT(*) AS row_count\nFROM \"m10\"\nGROUP BY \"blue\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"blue\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"blue\", \"row_count\"], \"rows\": [{\"blue\": \"0\", \"row_count\": 1010}, {\"blue\": \"1\", \"row_count\": 990}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.32}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m10",
+  "started_at": "2026-05-19T15:32:38.924229+00:00",
+  "ended_at": "2026-05-19T15:32:48.039257+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m10_15257ddf85c4e420",
+    "problem_id": "v2p_m10_484055a5fd2524f4",
+    "dataset_id": "m10",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=blue.",
+    "bindings": {
+      "group_col": "blue",
+      "top_k": 10,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 2.2,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/1",
+      "binding_index=15"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_15257ddf85c4e420.sql",
+  "usage_summary": {
+    "dataset_id": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_15257ddf85c4e420",
+    "api_calls": 0,
+    "input_tokens": 15188,
+    "cached_input_tokens": 14720,
+    "output_tokens": 164,
+    "total_tokens": 15352,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 9109.79,
+    "sql_execution_elapsed_ms_total": 1.32,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:32:48.036121+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9109.79, "started_at": "2026-05-19T15:32:38.925227+00:00", "ended_at": "2026-05-19T15:32:48.035039+00:00", "prompt_metrics": {"chars": 10410, "bytes_utf8": 10410, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 273, "bytes_utf8": 273, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15188, "cached_input_tokens": 14720, "output_tokens": 164, "reasoning_output_tokens": 93}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"blue\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"blue\\\" to inspect subgroup size distribution.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m10",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m10_15257ddf85c4e420",
+  "api_calls": 0,
+  "input_tokens": 15188,
+  "cached_input_tokens": 14720,
+  "output_tokens": 164,
+  "total_tokens": 15352,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 9109.79,
+  "sql_execution_elapsed_ms_total": 1.32,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1f16c6b1d3faa5b3/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "0.5", "support": 413, "support_share": 0.2065, "support_rank": 1}, {"value_label": "2.8", "support": 85, "support_share": 0.0425, "support_rank": 2}, {"value_label": "2.3", "support": 78, "support_share": 0.039, "support_rank": 3}, {"value_label": "1.6", "support": 76, "support_share": 0.038, "support_rank": 4}, {"value_label": "2.1", "support": 76, "support_share": 0.038, "support_rank": 5}]}