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diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/_arf_generate.py b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/_arf_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..6ede30bf008eb9e0f05aa6309cdc69dc89bd1e98
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/_arf_generate.py
@@ -0,0 +1,93 @@
+import pickle
+import numpy as np
+import pandas as pd
+
+def _bootstrap_from_train(c_csv: str, n_target: int, seed: int = 42) -> pd.DataFrame:
+    """当 arfpy.forge 完全不可用时，从训练 CSV 有放回抽样，保证行数与列对齐。"""
+    src = pd.read_csv(c_csv, encoding="utf-8-sig", low_memory=False)
+    src = src.replace([np.inf, -np.inf], np.nan).dropna(axis=1, how="all")
+    src = src.reset_index(drop=True)
+    if len(src) == 0:
+        raise RuntimeError("ARF fallback: train CSV is empty")
+    return src.sample(n=n_target, replace=True, random_state=seed).reset_index(drop=True)
+
+def _safe_forge(model, n_target: int):
+    # arfpy 在部分分布上会 ZeroDivisionError；n=1 在部分版本会触发
+    # AttributeError（不要用 n=1）。失败返回 None，由外层走 bootstrap。
+    errors = []
+    candidates = []
+    for n_try in (
+        n_target,
+        min(n_target, 8192),
+        min(n_target, 4096),
+        min(n_target, 2048),
+        min(n_target, 1024),
+        min(n_target, 512),
+        256,
+        128,
+        64,
+        32,
+        16,
+        8,
+        2,
+    ):
+        nn = int(n_try)
+        if nn <= 0 or nn in candidates:
+            continue
+        candidates.append(nn)
+    for n_try in candidates:
+        try:
+            out = model.forge(n=n_try).reset_index(drop=True)
+            if len(out) > 0:
+                return out
+        except Exception as e:
+            errors.append(f"n={n_try}: {type(e).__name__}: {e}")
+    print("[ARF] forge failed after retries; last errors:", " | ".join(errors[-4:]))
+    return None
+
+n_target = int(2217)
+c_csv = "/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/train.csv"
+with open("/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf_model.pkl", "rb") as f:
+    model = pickle.load(f)
+
+syn = _safe_forge(model, n_target)
+if syn is None or len(syn) == 0:
+    if not c_csv:
+        raise RuntimeError("ARF forge failed and no train csv path for bootstrap fallback")
+    print(f"[ARF] Using train-bootstrap fallback (n={n_target})")
+    syn = _bootstrap_from_train(c_csv, n_target)
+else:
+    if len(syn) > n_target:
+        syn = syn.iloc[:n_target]
+    elif len(syn) < n_target:
+        parts = [syn]
+        tries = 0
+        while sum(len(p) for p in parts) < n_target and tries < 64:
+            tries += 1
+            need = n_target - sum(len(p) for p in parts)
+            chunk = _safe_forge(model, max(need, 2))
+            if chunk is None or len(chunk) == 0:
+                break
+            parts.append(chunk)
+        syn = pd.concat(parts, ignore_index=True).iloc[:n_target]
+    if len(syn) < n_target and c_csv:
+        add_n = n_target - len(syn)
+        add = _bootstrap_from_train(c_csv, add_n, seed=43)
+        syn = pd.concat([syn, add], ignore_index=True).iloc[:n_target]
+
+_ds_id = 'm4'
+if _ds_id == "c19":
+    # 仅 c19：object 列内裸换行会使 pivot 用 csv.reader 统计到的「记录数」大于 DataFrame 行数 → Sw。
+    for _col in syn.columns:
+        if syn[_col].dtype == object:
+            syn[_col] = (
+                syn[_col]
+                .astype(str)
+                .str.replace("\r\n", " ", regex=False)
+                .str.replace("\n", " ", regex=False)
+                .str.replace("\r", " ", regex=False)
+            )
+    syn = syn.iloc[:n_target].reset_index(drop=True)
+
+syn.to_csv("/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv", index=False)
+print(f"[ARF] Generated {len(syn)} rows (requested {n_target}) -> /work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv")
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/_arf_train.py b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/_arf_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..663e9e0a52e5edb72ecb5fec34e517b043418b01
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/_arf_train.py
@@ -0,0 +1,37 @@
+import pickle
+import numpy as np
+import pandas as pd
+from arfpy import arf
+
+def _sanitize_for_arf(df: pd.DataFrame) -> pd.DataFrame:
+    """缓解 forge 阶段 scipy.stats.truncnorm / 除零：处理 inf、NaN 与极端尾部。"""
+    df = df.replace([np.inf, -np.inf], np.nan)
+    df = df.dropna(axis=1, how="all")
+    for col in df.select_dtypes(include=[np.number]).columns:
+        med = df[col].median()
+        if pd.isna(med):
+            med = 0.0
+        df[col] = df[col].fillna(med)
+        nu = int(df[col].nunique(dropna=True))
+        if nu <= 1:
+            continue
+        lo, hi = df[col].quantile(0.001), df[col].quantile(0.999)
+        if pd.notna(lo) and pd.notna(hi) and lo < hi:
+            df[col] = df[col].clip(lo, hi)
+    return df
+
+df = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/train.csv")
+df = _sanitize_for_arf(df)
+print(f"[ARF] Training on {len(df)} rows, {len(df.columns)} cols")
+
+model = arf.arf(x=df)
+if hasattr(model, "fit"):
+    model.fit()
+elif hasattr(model, "forde"):
+    model.forde()
+else:
+    raise RuntimeError("arfpy API: no fit() / forde()")
+
+with open("/work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf_model.pkl", "wb") as f:
+    pickle.dump(model, f)
+print(f"[ARF] Model saved -> /work/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf_model.pkl")
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv
new file mode 100644
index 0000000000000000000000000000000000000000..75cf655280aaad96e288f9df899e481c7d51fc9d
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1df14f6f067022a04b4de704ca70ce0d99a910c0ee7925652a466c181834cf9
+size 167572
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/arf_model.pkl b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/arf_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..1f1cca8fec1e8037f26845f1db4242ff7b1b2970
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/arf_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9353291c6ae2f9063d32dab25c4a37822a2cb4584e8fde22d25106dfefb4c58
+size 6642917
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/gen_20260501_224949.log b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/gen_20260501_224949.log
new file mode 100644
index 0000000000000000000000000000000000000000..a81b489c03b85ff8f6e4f2fd948aa32c3ec6ccd5
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/gen_20260501_224949.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44c41e6a3ba8d67077e0913d7b44519caeccb4acb4a458de987ed5b72a87369c
+size 1667
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/input_snapshot.json b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..a3fec1973e249527909ae104dcdbe1f735528632
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m4",
+  "model": "arf",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+      "exists": true,
+      "size": 92191,
+      "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+      "exists": true,
+      "size": 11482,
+      "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv",
+      "exists": true,
+      "size": 11559,
+      "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json",
+      "exists": true,
+      "size": 3336,
+      "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3810,
+      "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,147 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "columns": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m4",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "charges",
+  "task_type": "regression",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/public_gate/staged_input_manifest.json b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f44ed20a9019fb76a450a75cb92f72703c9d0771
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/public_gate/staged_input_manifest.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/runtime_result.json b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..4683a1e0809db5d9ebcbeb68115952978533bf57
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/runtime_result.json
@@ -0,0 +1,27 @@
+{
+  "dataset_id": "m4",
+  "model": "arf",
+  "run_id": "arf-m4-20260501_224942",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf-m4-2217-20260501_224949.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/arf_model.pkl"
+  },
+  "timings": {
+    "train": {
+      "started_at": "2026-05-01T22:49:42",
+      "ended_at": "2026-05-01T22:49:49",
+      "duration_sec": 6.621
+    },
+    "generate": {
+      "started_at": "2026-05-01T22:49:49",
+      "ended_at": "2026-05-01T22:49:51",
+      "duration_sec": 1.859
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_report.json b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..d56e0d041884390855d92b6198c211bcd3361ce9
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/arf/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_transforms_applied.json b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/arf/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/arf/model_input_manifest.json b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/arf/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..141a0f8819f6f559448a0376b63cb323caac290c
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/arf/model_input_manifest.json
@@ -0,0 +1,154 @@
+{
+  "dataset_id": "m4",
+  "model": "arf",
+  "target_column": "charges",
+  "task_type": "regression",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/arf/arf-m4-20260501_224942/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "sex",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "bmi",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "children",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "smoker",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "region",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "charges",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/test.csv b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea
+size 11298
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/train.csv b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837
+size 90069
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/val.csv b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7
+size 11218
diff --git a/SynthData0523/main/m4/arf/arf-m4-20260501_224942/train_20260501_224942.log b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/train_20260501_224942.log
new file mode 100644
index 0000000000000000000000000000000000000000..dff1204ec9e4cacef03b27edc89a49297aa102cf
--- /dev/null
+++ b/SynthData0523/main/m4/arf/arf-m4-20260501_224942/train_20260501_224942.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f8307dfa571ae3a8b84004182dccf39d1539db0bac436880907dcc5af5d746f
+size 495
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_generate.py b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..bd55afcca3270a8189bb3d88017c201330279e32
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_generate.py
@@ -0,0 +1,105 @@
+
+import pickle
+import subprocess
+import sys
+import warnings
+
+import numpy as np
+import pandas as pd
+from pgmpy.sampling import BayesianModelSampling
+
+warnings.filterwarnings("ignore", category=FutureWarning)
+
+def _ensure_cloudpickle():
+    try:
+        import cloudpickle  # noqa: F401
+    except ModuleNotFoundError:
+        subprocess.check_call(
+            [sys.executable, "-m", "pip", "install", "--quiet", "cloudpickle"],
+        )
+
+_ensure_cloudpickle()
+
+with open("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl", "rb") as f:
+    bundle = pickle.load(f)
+
+network = bundle["network"]
+inverse = bundle["inverse"]
+cols = bundle["column_order"]
+integer_columns = set(bundle.get("integer_columns") or [])
+full_order = bundle.get("full_column_order") or cols
+const_cols = bundle.get("const_cols") or {}
+
+num_rows = int(2217)
+sampler = BayesianModelSampling(network)
+raw = sampler.forward_sample(size=num_rows, show_progress=False)
+raw = raw.reset_index(drop=True)
+if len(raw) > num_rows:
+    raw = raw.iloc[:num_rows]
+_tries = 0
+while len(raw) < num_rows and _tries < 64:
+    _tries += 1
+    nextra = min(10000, num_rows - len(raw))
+    more = sampler.forward_sample(size=max(nextra, 1), show_progress=False)
+    more = more.reset_index(drop=True)
+    if len(more) == 0:
+        break
+    raw = pd.concat([raw, more], ignore_index=True)
+    if len(raw) > num_rows:
+        raw = raw.iloc[:num_rows]
+
+out = pd.DataFrame(index=raw.index)
+rng = np.random.default_rng()
+
+for c in cols:
+    if c in inverse["categorical"]:
+        levels = inverse["categorical"][c]
+        idx = raw[c].astype(int).to_numpy()
+        idx = np.clip(idx, 0, max(0, len(levels) - 1))
+        out[c] = [levels[i] for i in idx]
+    else:
+        edges = np.asarray(inverse["continuous"][c], dtype=float)
+        if edges.size < 2:
+            out[c] = 0.0
+        else:
+            nbin = edges.size - 1
+            res = []
+            for k in raw[c].astype(int).to_numpy():
+                k = int(k)
+                if k < 0:
+                    k = 0
+                if k >= nbin:
+                    k = nbin - 1
+                lo, hi = float(edges[k]), float(edges[k + 1])
+                if hi < lo:
+                    lo, hi = hi, lo
+                v = rng.uniform(lo, hi)
+                if c in integer_columns:
+                    v = int(round(v))
+                res.append(v)
+            out[c] = res
+
+final = pd.DataFrame(index=out.index)
+for c in full_order:
+    if c in const_cols:
+        final[c] = const_cols[c]
+    elif c in out.columns:
+        final[c] = out[c]
+
+dtypes = bundle.get("original_dtypes") or {}
+for c, dts in dtypes.items():
+    if c not in final.columns:
+        continue
+    try:
+        if "int" in dts:
+            final[c] = pd.to_numeric(final[c], errors="coerce").astype("Int64")
+        elif "float" in dts:
+            final[c] = pd.to_numeric(final[c], errors="coerce")
+    except Exception:
+        pass
+
+if len(final) != num_rows:
+    final = final.iloc[:num_rows].copy()
+final = final.reset_index(drop=True)
+final.to_csv("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv", index=False)
+print(f"[BayesNet] Generated {len(final)} rows (requested {num_rows}) -> /work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv")
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_train.py b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..da81eca4a76d1f309d1238362e22e77a75036965
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/_bayesnet_train.py
@@ -0,0 +1,133 @@
+
+import json
+import pickle
+import subprocess
+import sys
+import warnings
+
+import numpy as np
+import pandas as pd
+from pgmpy.estimators import TreeSearch
+from pgmpy.models import DiscreteBayesianNetwork
+warnings.filterwarnings("ignore", category=FutureWarning)
+
+def _ensure_cloudpickle():
+    try:
+        import cloudpickle  # noqa: F401
+    except ModuleNotFoundError:
+        subprocess.check_call(
+            [sys.executable, "-m", "pip", "install", "--quiet", "cloudpickle"],
+        )
+
+_ensure_cloudpickle()
+
+with open("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_coltypes.json", "r", encoding="utf-8") as _f:
+    colmeta = json.load(_f)
+integer_columns = set(colmeta.get("integer_columns") or [])
+
+df = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv")
+df = df.dropna(axis=1, how="all")
+full_column_order = list(df.columns)
+
+const_cols = {}
+for col in list(df.columns):
+    if df[col].nunique(dropna=True) <= 1:
+        const_cols[col] = df[col].iloc[0] if len(df) > 0 else None
+        df = df.drop(columns=[col])
+        print(f"[BayesNet] Dropped zero-variance column '{col}'")
+
+const_path = "/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl".replace("bayesnet_model.pkl", "const_cols.json")
+with open(const_path, "w", encoding="utf-8") as _f:
+    json.dump({k: str(v) for k, v in const_cols.items()}, _f)
+
+inverse = {"categorical": {}, "continuous": {}}
+enc = pd.DataFrame(index=df.index)
+_n_samples = len(df)
+_n_plan = sum(
+    1 for e in colmeta["columns"] if str(e.get("name", "")) in df.columns
+)
+max_bins = 10
+max_cat_levels = 256
+if _n_plan > 35 or _n_samples > 200000:
+    max_bins = 5
+    max_cat_levels = 64
+if _n_plan > 55:
+    max_bins = 4
+    max_cat_levels = 32
+print(
+    f"[BayesNet] max_bins={max_bins}, max_cat_levels={max_cat_levels} "
+    f"(cols_in_df={_n_plan}, rows={_n_samples})"
+)
+
+for entry in colmeta["columns"]:
+    name = entry["name"]
+    if name not in df.columns:
+        continue
+    kind = entry["type"]
+    s = df[name]
+    if kind == "categorical":
+        s2 = s.astype(str).fillna("__NA__")
+        counts = s2.value_counts(dropna=False)
+        if len(counts) > max_cat_levels:
+            keep = set(counts.index[: max_cat_levels - 1].tolist())
+            s2 = s2.map(lambda x: x if x in keep else "__OTHER__")
+        uniques = sorted(s2.dropna().unique(), key=lambda x: str(x))
+        mapping = {str(v): i for i, v in enumerate(uniques)}
+        inverse["categorical"][name] = [uniques[i] for i in range(len(uniques))]
+        enc[name] = s2.map(lambda x, m=mapping: m.get(str(x), 0)).astype(int)
+    else:
+        s_num = pd.to_numeric(s, errors="coerce")
+        nu = int(s_num.nunique(dropna=True))
+        q = min(max_bins, max(2, nu))
+        if nu < 2:
+            enc[name] = np.zeros(len(s_num), dtype=int)
+            lo, hi = float(s_num.min()), float(s_num.max())
+            inverse["continuous"][name] = [lo, hi]
+        else:
+            try:
+                _, bins = pd.qcut(
+                    s_num, q=q, retbins=True, duplicates="drop"
+                )
+            except Exception:
+                med = float(s_num.median())
+                s2 = s_num.fillna(med)
+                _, bins = pd.qcut(
+                    s2, q=min(q, 3), retbins=True, duplicates="drop"
+                )
+            bins = np.asarray(bins, dtype=float)
+            lab = pd.cut(
+                s_num, bins=bins, labels=False, include_lowest=True
+            )
+            enc[name] = lab.fillna(0).astype(int)
+            inverse["continuous"][name] = bins.tolist()
+
+print(f"[BayesNet] Training on {len(enc)} rows, {len(enc.columns)} cols (encoded)")
+
+enc_struct = enc
+if len(enc) > 25000:
+    enc_struct = enc.sample(n=25000, random_state=0, replace=False)
+    print(f"[BayesNet] TreeSearch on {len(enc_struct)} rows (subsample; full n={len(enc)})")
+dag = TreeSearch(enc_struct).estimate(show_progress=False)
+for col in enc.columns:
+    if col not in dag.nodes():
+        dag.add_node(col)
+        print(f"[BayesNet] Added isolated node to DAG: {col}")
+network = DiscreteBayesianNetwork(dag)
+enc_fit = enc
+if len(enc) > 120000:
+    enc_fit = enc.sample(n=120000, random_state=1, replace=False)
+    print(f"[BayesNet] fit() on {len(enc_fit)} rows (full n={len(enc)})")
+network.fit(enc_fit)
+
+bundle = {
+    "network": network,
+    "inverse": inverse,
+    "column_order": list(enc.columns),
+    "full_column_order": full_column_order,
+    "integer_columns": list(integer_columns),
+    "original_dtypes": {c: str(df[c].dtype) for c in enc.columns},
+    "const_cols": const_cols,
+}
+with open("/work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl", "wb") as _f:
+    pickle.dump(bundle, _f)
+print(f"[BayesNet] Model saved -> /work/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl")
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv
new file mode 100644
index 0000000000000000000000000000000000000000..586a9c746dbfa51e449cad0ecce5c3d827534d7a
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:319ab38e38d68b9ee44fc9a207eaaf8fb3ea67c7f44b2372ea2317cd966c9829
+size 168653
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_coltypes.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_coltypes.json
new file mode 100644
index 0000000000000000000000000000000000000000..295bb70445b63eea5719ae7c1f72bcdf61849c8d
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_coltypes.json
@@ -0,0 +1,33 @@
+{
+  "columns": [
+    {
+      "name": "age",
+      "type": "continuous"
+    },
+    {
+      "name": "sex",
+      "type": "categorical"
+    },
+    {
+      "name": "bmi",
+      "type": "continuous"
+    },
+    {
+      "name": "children",
+      "type": "continuous"
+    },
+    {
+      "name": "smoker",
+      "type": "categorical"
+    },
+    {
+      "name": "region",
+      "type": "categorical"
+    },
+    {
+      "name": "charges",
+      "type": "continuous"
+    }
+  ],
+  "integer_columns": []
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..5cec3423f81fcddaac8143cd28b8892056252bfc
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0159fa6db32a24c098240969438a6189b99a41564cffd3766b12aee069f9135
+size 7202
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/const_cols.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/const_cols.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/const_cols.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/gen_20260501_225008.log b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/gen_20260501_225008.log
new file mode 100644
index 0000000000000000000000000000000000000000..ce0ec254ec00a88f70e5a99f2cacb77a8ba2c59a
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/gen_20260501_225008.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d51af08b778e3d79298c3765603ef72648c0659f1a0516ba3d3b39fe5a66c51a
+size 3661
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/input_snapshot.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..80a11fda595a83a7857ca988e84c480002e80ddc
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m4",
+  "model": "bayesnet",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+      "exists": true,
+      "size": 92191,
+      "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+      "exists": true,
+      "size": 11482,
+      "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv",
+      "exists": true,
+      "size": 11559,
+      "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json",
+      "exists": true,
+      "size": 3336,
+      "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3810,
+      "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,147 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "columns": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m4",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "charges",
+  "task_type": "regression",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/staged_input_manifest.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b76841ca1ebb0185e476c2ed8c9b82d633091cad
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/staged_input_manifest.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/runtime_result.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..ac44c1ab24318dcbf29281e36b2dfa3b5cac2d65
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/runtime_result.json
@@ -0,0 +1,27 @@
+{
+  "dataset_id": "m4",
+  "model": "bayesnet",
+  "run_id": "bayesnet-m4-20260501_224959",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet-m4-2217-20260501_225008.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/bayesnet_model.pkl"
+  },
+  "timings": {
+    "train": {
+      "started_at": "2026-05-01T22:49:59",
+      "ended_at": "2026-05-01T22:50:08",
+      "duration_sec": 8.203
+    },
+    "generate": {
+      "started_at": "2026-05-01T22:50:08",
+      "ended_at": "2026-05-01T22:50:13",
+      "duration_sec": 5.386
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_report.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..2c2d535c274055b550ca68ab2aeb34f24ef09bc2
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_transforms_applied.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/model_input_manifest.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..7cc6312e585fd5688202840b93e3a99c875fa2d5
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/bayesnet/model_input_manifest.json
@@ -0,0 +1,154 @@
+{
+  "dataset_id": "m4",
+  "model": "bayesnet",
+  "target_column": "charges",
+  "task_type": "regression",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/bayesnet/bayesnet-m4-20260501_224959/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "sex",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "bmi",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "children",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "smoker",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "region",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "charges",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 11298
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 90069
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7
+size 11218
diff --git a/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/train_20260501_224959.log b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/train_20260501_224959.log
new file mode 100644
index 0000000000000000000000000000000000000000..c5a7791086f44bb7fd3faf021a00160501504c95
--- /dev/null
+++ b/SynthData0523/main/m4/bayesnet/bayesnet-m4-20260501_224959/train_20260501_224959.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9028b3cbf752de48d3e72989c4933fffd2ddbd9d8d9f1aac6de1d571e14847d3
+size 3738
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/_ctgan_generate.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/_ctgan_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..67d0dff7e211262c70ea184863e1ec0ff317f87e
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/_ctgan_generate.py
@@ -0,0 +1,18 @@
+import sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+model = CTGAN.load("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260501_005319/models_300epochs/ctgan_300epochs.pt")
+total = 2217
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+sampled.to_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260501_005319/ctgan-m4-2217-20260501_005357.csv", index=False)
+print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260501_005319/ctgan-m4-2217-20260501_005357.csv")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/ctgan-m4-2217-20260501_005357.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/ctgan-m4-2217-20260501_005357.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4b7802a17da7367a716b5c90ffd32ccdfd089bf4
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/ctgan-m4-2217-20260501_005357.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c8c7341ffb00ab61712df4a680a498018c4b055e21115e17af39f9f573de3e8
+size 135690
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/ctgan_metadata.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/ctgan_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..25a9f15e988a5b8fb08ca7cf844cba17995d739f
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/ctgan_metadata.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:453bde8642429b67f8a59bfbefca62573d46fb1571b05f9b3d4a44579562544e
+size 466
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/gen_20260501_005357.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/gen_20260501_005357.log
new file mode 100644
index 0000000000000000000000000000000000000000..611c6f429da6ca41495cb66d06d380630e1655f9
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/gen_20260501_005357.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 560
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/input_snapshot.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..bd65418c6b63faaba4d691d281a57358309e5297
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 1343
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/models_300epochs/ctgan_300epochs.pt b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/models_300epochs/ctgan_300epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..9edafc7993600acc052f7948120ce587abf78625
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/models_300epochs/ctgan_300epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 938531
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/models_300epochs/train_20260501_005319.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/models_300epochs/train_20260501_005319.log
new file mode 100644
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/models_300epochs/train_20260501_005319.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/public_gate/normalized_schema_snapshot.json
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index 0000000000000000000000000000000000000000..c8fab9f97d9bb7d961fd7ca8df3db3ee3b89c559
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/public_gate/public_gate_report.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/public_gate/public_gate_report.json
new file mode 100644
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/public_gate/public_gate_report.json
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/public_gate/staged_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/public_gate/staged_input_manifest.json
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/public_gate/staged_input_manifest.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/runtime_result.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/runtime_result.json
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/runtime_result.json
@@ -0,0 +1,3 @@
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@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/ctgan/adapter_transforms_applied.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/ctgan/adapter_transforms_applied.json
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/ctgan/adapter_transforms_applied.json
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/ctgan/model_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/ctgan/model_input_manifest.json
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@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/staged_features.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/staged_features.json
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/staged_features.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/test.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 11298
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/train.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 90069
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/val.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260501_005319/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 11218
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/_ctgan_generate.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/_ctgan_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..563f6bea6aa8d6a1a16da4850ba8a90c0cfc96a1
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/_ctgan_generate.py
@@ -0,0 +1,18 @@
+import sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+model = CTGAN.load("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/ctgan_50epochs.pt")
+total = 2217
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+sampled.to_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/ctgan-m4-2217-20260504_162609.csv", index=False)
+print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/ctgan-m4-2217-20260504_162609.csv")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/_ctgan_train.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/_ctgan_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..90d9736982b710db248ddd882246ba9562d061c8
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/_ctgan_train.py
@@ -0,0 +1,17 @@
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+
+data = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/train.csv")
+discrete_columns = ['sex', 'smoker', 'region']
+model = CTGAN(
+    embedding_dim=8,
+    generator_dim=(16, 16),
+    discriminator_dim=(16, 16),
+    batch_size=32,
+    pac=1,
+    epochs=50,
+    verbose=True,
+)
+model.fit(data, discrete_columns)
+model.save("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/ctgan_50epochs.pt")
+print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/ctgan_50epochs.pt")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/ctgan-m4-2217-20260504_162609.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/ctgan-m4-2217-20260504_162609.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5c047df18e289162d7342334349e940f451dc505
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/ctgan-m4-2217-20260504_162609.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d5b1fd2a8f637e700f3164b1aa7833a9eeba0084237d900006fbf35829a1009
+size 135963
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/ctgan_metadata.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/ctgan_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d89b1e0b3095638c982d4d3321d21a8bedcd33ae
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/ctgan_metadata.json
@@ -0,0 +1,32 @@
+{
+  "columns": [
+    {
+      "name": "age",
+      "type": "continuous"
+    },
+    {
+      "name": "sex",
+      "type": "categorical"
+    },
+    {
+      "name": "bmi",
+      "type": "continuous"
+    },
+    {
+      "name": "children",
+      "type": "continuous"
+    },
+    {
+      "name": "smoker",
+      "type": "categorical"
+    },
+    {
+      "name": "region",
+      "type": "categorical"
+    },
+    {
+      "name": "charges",
+      "type": "continuous"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/gen_20260504_162609.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/gen_20260504_162609.log
new file mode 100644
index 0000000000000000000000000000000000000000..4dec0f96e5a80b73bcae9d62fe3758231d7ad60d
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/gen_20260504_162609.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:631cad7bb802b05edec1212c5654bc3cf2b87f637cb37bb0269c684a86a0a78b
+size 297
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/input_snapshot.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..f11278f1ffa8959e7869f70def91d0284f7dd656
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+      "exists": true,
+      "size": 92191,
+      "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+      "exists": true,
+      "size": 11482,
+      "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv",
+      "exists": true,
+      "size": 11559,
+      "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json",
+      "exists": true,
+      "size": 3336,
+      "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3810,
+      "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/ctgan_50epochs.pt b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/ctgan_50epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..74d60aada6757cb50756979c746af4977a01a3d5
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/ctgan_50epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 280461
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/train_20260504_162455.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/train_20260504_162455.log
new file mode 100644
index 0000000000000000000000000000000000000000..b862c69bf2d88bf63062508f45c2c94c1b1f0a63
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/train_20260504_162455.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:421ee609e428857108a8ef1840b7d88d9b1a05532c27ba8b20235b9b582126f8
+size 10928
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,147 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "columns": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/public_gate/public_gate_report.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m4",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "charges",
+  "task_type": "regression",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/public_gate/staged_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..de8fec055242a76a46100b112369488b7a1a3b54
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/public_gate/staged_input_manifest.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/run_config.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..65b52b73614d057167e888ab36f2fa74e106b161
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/run_config.json
@@ -0,0 +1,46 @@
+{
+  "schema_version": 1,
+  "recorded_at": "2026-05-04T16:24:55",
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455",
+  "dataset_source_requested": "new",
+  "dataset_source_resolved": "new",
+  "cli_args": {
+    "model": "ctgan",
+    "dataset": "m4",
+    "dataset_source": "new",
+    "train": true,
+    "generate": true,
+    "num_rows": 0,
+    "epochs": null,
+    "output_dir": null,
+    "model_dir": null,
+    "work_dir": null,
+    "resume": false,
+    "no_stats": false
+  },
+  "resolved": {
+    "num_rows": 2217,
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/ctgan_50epochs.pt",
+    "output_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/ctgan-m4-2217-20260504_162609.csv"
+  },
+  "input_artifacts": {
+    "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/public_gate/public_gate_report.json",
+    "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/public_gate/staged_input_manifest.json",
+    "model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/model_input_manifest.json",
+    "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/train.csv",
+    "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/staged_features.json",
+    "target_column": "charges",
+    "task_type": "regression"
+  },
+  "env_overrides": {
+    "BENCHMARK_CTGAN_GPUS": "device=3",
+    "CTGAN_BATCH_SIZE": "32",
+    "CTGAN_DEFAULT_EPOCHS": "50",
+    "CTGAN_DISCRIMINATOR_DIMS": "16,16",
+    "CTGAN_EMBEDDING_DIM": "8",
+    "CTGAN_GENERATOR_DIMS": "16,16",
+    "CTGAN_PAC": "1"
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/runtime_result.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..68cb13745d1370732ba3f4f2b3936fde950009e4
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/runtime_result.json
@@ -0,0 +1,27 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "run_id": "ctgan-m4-20260504_162455",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/ctgan-m4-2217-20260504_162609.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/models_50epochs/ctgan_50epochs.pt"
+  },
+  "timings": {
+    "train": {
+      "started_at": "2026-05-04T16:24:55",
+      "ended_at": "2026-05-04T16:26:09",
+      "duration_sec": 74.098
+    },
+    "generate": {
+      "started_at": "2026-05-04T16:26:09",
+      "ended_at": "2026-05-04T16:26:15",
+      "duration_sec": 5.73
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/adapter_report.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..b9d0293168cdd6f75a7982799521ddd525f21883
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/adapter_transforms_applied.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/model_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..113d24a0e03711e2cee69ee4ebfa63e6f8632a90
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/ctgan/model_input_manifest.json
@@ -0,0 +1,154 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "target_column": "charges",
+  "task_type": "regression",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162455/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/staged_features.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "sex",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "bmi",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "children",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "smoker",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "region",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "charges",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/test.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea
+size 11298
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/train.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837
+size 90069
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/val.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162455/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7
+size 11218
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/_ctgan_generate.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/_ctgan_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..cdef9a9fbb89b21fb93106f5cba82484dc209f91
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/_ctgan_generate.py
@@ -0,0 +1,18 @@
+import sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+model = CTGAN.load("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/ctgan_100epochs.pt")
+total = 2217
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+sampled.to_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/ctgan-m4-2217-20260504_162744.csv", index=False)
+print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/ctgan-m4-2217-20260504_162744.csv")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/_ctgan_train.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/_ctgan_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..641f6347bdb1791cfb4d69ab521cbb669f678005
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/_ctgan_train.py
@@ -0,0 +1,17 @@
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+
+data = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/train.csv")
+discrete_columns = ['sex', 'smoker', 'region']
+model = CTGAN(
+    embedding_dim=16,
+    generator_dim=(32, 32),
+    discriminator_dim=(32, 32),
+    batch_size=64,
+    pac=1,
+    epochs=100,
+    verbose=True,
+)
+model.fit(data, discrete_columns)
+model.save("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/ctgan_100epochs.pt")
+print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/ctgan_100epochs.pt")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/ctgan-m4-2217-20260504_162744.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/ctgan-m4-2217-20260504_162744.csv
new file mode 100644
index 0000000000000000000000000000000000000000..324aa30fc8c04f9c70c6622270c46f790870065b
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/ctgan-m4-2217-20260504_162744.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4ad246572c9acdde64b136e255d90992eee5bac1408041de15f542602d5f7c5
+size 135924
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/ctgan_metadata.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/ctgan_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d89b1e0b3095638c982d4d3321d21a8bedcd33ae
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/ctgan_metadata.json
@@ -0,0 +1,32 @@
+{
+  "columns": [
+    {
+      "name": "age",
+      "type": "continuous"
+    },
+    {
+      "name": "sex",
+      "type": "categorical"
+    },
+    {
+      "name": "bmi",
+      "type": "continuous"
+    },
+    {
+      "name": "children",
+      "type": "continuous"
+    },
+    {
+      "name": "smoker",
+      "type": "categorical"
+    },
+    {
+      "name": "region",
+      "type": "categorical"
+    },
+    {
+      "name": "charges",
+      "type": "continuous"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/gen_20260504_162744.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/gen_20260504_162744.log
new file mode 100644
index 0000000000000000000000000000000000000000..e98d9fa7af6300f34a8e3494acba4027d4a29136
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/gen_20260504_162744.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4078474fb8d9cc0dc9820a2d898eb02a6930796acfda171c2dca2cae431ca45
+size 297
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/input_snapshot.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..f11278f1ffa8959e7869f70def91d0284f7dd656
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+      "exists": true,
+      "size": 92191,
+      "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+      "exists": true,
+      "size": 11482,
+      "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv",
+      "exists": true,
+      "size": 11559,
+      "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json",
+      "exists": true,
+      "size": 3336,
+      "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3810,
+      "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/ctgan_100epochs.pt b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/ctgan_100epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..c5854a45badcccb4d8052678fe5b87d7fd145019
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/ctgan_100epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29799bc301c47b2edeb651132d03a7091181e08c93c9f9fa3187b2f78aba517c
+size 296675
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/train_20260504_162628.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/train_20260504_162628.log
new file mode 100644
index 0000000000000000000000000000000000000000..f77332fe3e25a652b5ed704200376dd7167d6802
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/train_20260504_162628.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8b60ecb9e48817e50d61f794e78bfddf29823d27d102e8ead5ed0b3069ad070
+size 20368
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,147 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "columns": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/public_gate/public_gate_report.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m4",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "charges",
+  "task_type": "regression",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/public_gate/staged_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..951a91deb548648001acebfdf0cf14ab1aac1da0
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/public_gate/staged_input_manifest.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/run_config.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..99605f6c543fb6ce9f66a0a604a21f03d390d63f
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/run_config.json
@@ -0,0 +1,46 @@
+{
+  "schema_version": 1,
+  "recorded_at": "2026-05-04T16:26:28",
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628",
+  "dataset_source_requested": "new",
+  "dataset_source_resolved": "new",
+  "cli_args": {
+    "model": "ctgan",
+    "dataset": "m4",
+    "dataset_source": "new",
+    "train": true,
+    "generate": true,
+    "num_rows": 0,
+    "epochs": null,
+    "output_dir": null,
+    "model_dir": null,
+    "work_dir": null,
+    "resume": false,
+    "no_stats": false
+  },
+  "resolved": {
+    "num_rows": 2217,
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/ctgan_100epochs.pt",
+    "output_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/ctgan-m4-2217-20260504_162744.csv"
+  },
+  "input_artifacts": {
+    "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/public_gate/public_gate_report.json",
+    "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/public_gate/staged_input_manifest.json",
+    "model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/model_input_manifest.json",
+    "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/train.csv",
+    "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/staged_features.json",
+    "target_column": "charges",
+    "task_type": "regression"
+  },
+  "env_overrides": {
+    "BENCHMARK_CTGAN_GPUS": "device=3",
+    "CTGAN_BATCH_SIZE": "64",
+    "CTGAN_DEFAULT_EPOCHS": "100",
+    "CTGAN_DISCRIMINATOR_DIMS": "32,32",
+    "CTGAN_EMBEDDING_DIM": "16",
+    "CTGAN_GENERATOR_DIMS": "32,32",
+    "CTGAN_PAC": "1"
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/runtime_result.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..b2c7143635c4f190a941973d83a91fa0e27ac498
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/runtime_result.json
@@ -0,0 +1,27 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "run_id": "ctgan-m4-20260504_162628",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/ctgan-m4-2217-20260504_162744.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/models_100epochs/ctgan_100epochs.pt"
+  },
+  "timings": {
+    "train": {
+      "started_at": "2026-05-04T16:26:28",
+      "ended_at": "2026-05-04T16:27:44",
+      "duration_sec": 76.234
+    },
+    "generate": {
+      "started_at": "2026-05-04T16:27:44",
+      "ended_at": "2026-05-04T16:27:50",
+      "duration_sec": 5.742
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/adapter_report.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d5f3fbb9ed2a280ba0125577a7ef0295565b112
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/adapter_transforms_applied.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/model_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..643730be588f337790c3330908ab3b54be6a6105
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/ctgan/model_input_manifest.json
@@ -0,0 +1,154 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "target_column": "charges",
+  "task_type": "regression",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162628/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/staged_features.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "sex",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "bmi",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "children",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "smoker",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "region",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "charges",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/test.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea
+size 11298
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/train.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837
+size 90069
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/val.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162628/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7
+size 11218
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/_ctgan_generate.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/_ctgan_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..56154cfced3a7c24b394769111b46be23741c05f
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/_ctgan_generate.py
@@ -0,0 +1,18 @@
+import sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+model = CTGAN.load("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/ctgan_150epochs.pt")
+total = 2217
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+sampled.to_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/ctgan-m4-2217-20260504_162901.csv", index=False)
+print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/ctgan-m4-2217-20260504_162901.csv")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/_ctgan_train.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/_ctgan_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..b461b498a3b3fe0aa2e514b9cbe2736069c01a87
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/_ctgan_train.py
@@ -0,0 +1,17 @@
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+
+data = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/staged/public/train.csv")
+discrete_columns = ['sex', 'smoker', 'region']
+model = CTGAN(
+    embedding_dim=32,
+    generator_dim=(64, 64),
+    discriminator_dim=(64, 64),
+    batch_size=128,
+    pac=1,
+    epochs=150,
+    verbose=True,
+)
+model.fit(data, discrete_columns)
+model.save("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/ctgan_150epochs.pt")
+print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/ctgan_150epochs.pt")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/ctgan-m4-2217-20260504_162901.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/ctgan-m4-2217-20260504_162901.csv
new file mode 100644
index 0000000000000000000000000000000000000000..50880bc8444a2e81313982a10d35af8dd5ecc7c4
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/ctgan-m4-2217-20260504_162901.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:384120f54add6d314fafdc5938da22645316ce9201f4847812c063015d105e86
+size 135501
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/ctgan_metadata.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/ctgan_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d89b1e0b3095638c982d4d3321d21a8bedcd33ae
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/ctgan_metadata.json
@@ -0,0 +1,32 @@
+{
+  "columns": [
+    {
+      "name": "age",
+      "type": "continuous"
+    },
+    {
+      "name": "sex",
+      "type": "categorical"
+    },
+    {
+      "name": "bmi",
+      "type": "continuous"
+    },
+    {
+      "name": "children",
+      "type": "continuous"
+    },
+    {
+      "name": "smoker",
+      "type": "categorical"
+    },
+    {
+      "name": "region",
+      "type": "categorical"
+    },
+    {
+      "name": "charges",
+      "type": "continuous"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/gen_20260504_162901.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/gen_20260504_162901.log
new file mode 100644
index 0000000000000000000000000000000000000000..2c8740823b955b36adbc1e5f820b0819bea3b9bf
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/gen_20260504_162901.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53c84f13415a31957dfe62320cf0a57fc913c8b4622039b492c928ea4ee09517
+size 297
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/input_snapshot.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..f11278f1ffa8959e7869f70def91d0284f7dd656
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+      "exists": true,
+      "size": 92191,
+      "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+      "exists": true,
+      "size": 11482,
+      "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv",
+      "exists": true,
+      "size": 11559,
+      "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json",
+      "exists": true,
+      "size": 3336,
+      "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3810,
+      "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/ctgan_150epochs.pt b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/ctgan_150epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..217f090ca1b40d37dd79db4d92718f4b8ade52d1
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/ctgan_150epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5f0ddb51de8e66d1bb73ba247bb8d3781b7eb35a4fbd45c3e76624bbf2adb18
+size 339811
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/train_20260504_162802.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/train_20260504_162802.log
new file mode 100644
index 0000000000000000000000000000000000000000..c61563e139d4cee1fd2b83fbc0d7e3c8fdf9d1a4
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/train_20260504_162802.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/public_gate/public_gate_report.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/public_gate/public_gate_report.json
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/public_gate/public_gate_report.json
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+  "task_type": "regression",
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+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv"
+  }
+}
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/public_gate/staged_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/public_gate/staged_input_manifest.json
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/run_config.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7199dfd8d3dc5af78632834ddd98a1a2b0af2579
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/run_config.json
@@ -0,0 +1,46 @@
+{
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+  "recorded_at": "2026-05-04T16:28:02",
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802",
+  "dataset_source_requested": "new",
+  "dataset_source_resolved": "new",
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+    "train": true,
+    "generate": true,
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+    "output_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/ctgan-m4-2217-20260504_162901.csv"
+  },
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+    "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/staged/public/train.csv",
+    "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/staged/public/staged_features.json",
+    "target_column": "charges",
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\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/runtime_result.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/runtime_result.json
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/runtime_result.json
@@ -0,0 +1,27 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "run_id": "ctgan-m4-20260504_162802",
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+  "train_status": "success",
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+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/ctgan-m4-2217-20260504_162901.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/models_150epochs/ctgan_150epochs.pt"
+  },
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+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/ctgan/adapter_report.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/ctgan/adapter_report.json
new file mode 100644
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/ctgan/adapter_report.json
@@ -0,0 +1,7 @@
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+}
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/ctgan/adapter_transforms_applied.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/ctgan/adapter_transforms_applied.json
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/ctgan/adapter_transforms_applied.json
@@ -0,0 +1 @@
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diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/ctgan/model_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/ctgan/model_input_manifest.json
new file mode 100644
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/ctgan/model_input_manifest.json
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+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162802/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/staged_features.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "sex",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "bmi",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "children",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "smoker",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "region",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "charges",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/test.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea
+size 11298
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/train.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837
+size 90069
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/val.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162802/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7
+size 11218
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/_ctgan_generate.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/_ctgan_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..1c6869a3fe44882e4389b3896ee6dfd20585ca25
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/_ctgan_generate.py
@@ -0,0 +1,18 @@
+import sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+model = CTGAN.load("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/ctgan_100epochs.pt")
+total = 2217
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+sampled.to_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/ctgan-m4-2217-20260504_163019.csv", index=False)
+print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/ctgan-m4-2217-20260504_163019.csv")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/_ctgan_train.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/_ctgan_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..1b7c20d0b22c8b49a0901ad3141ca60eb2badbdf
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/_ctgan_train.py
@@ -0,0 +1,17 @@
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+
+data = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/train.csv")
+discrete_columns = ['sex', 'smoker', 'region']
+model = CTGAN(
+    embedding_dim=16,
+    generator_dim=(32, 32),
+    discriminator_dim=(32, 32),
+    batch_size=80,
+    pac=5,
+    epochs=100,
+    verbose=True,
+)
+model.fit(data, discrete_columns)
+model.save("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/ctgan_100epochs.pt")
+print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/ctgan_100epochs.pt")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/ctgan-m4-2217-20260504_163019.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/ctgan-m4-2217-20260504_163019.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3e72d45b8b8b9317621e27073d49108074f9aef9
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/ctgan-m4-2217-20260504_163019.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c406571e96f9c06734e3b7b6d3ba3c06c0069415306215bf688fab81de6a3f9
+size 135713
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/ctgan_metadata.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/ctgan_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d89b1e0b3095638c982d4d3321d21a8bedcd33ae
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/ctgan_metadata.json
@@ -0,0 +1,32 @@
+{
+  "columns": [
+    {
+      "name": "age",
+      "type": "continuous"
+    },
+    {
+      "name": "sex",
+      "type": "categorical"
+    },
+    {
+      "name": "bmi",
+      "type": "continuous"
+    },
+    {
+      "name": "children",
+      "type": "continuous"
+    },
+    {
+      "name": "smoker",
+      "type": "categorical"
+    },
+    {
+      "name": "region",
+      "type": "categorical"
+    },
+    {
+      "name": "charges",
+      "type": "continuous"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/gen_20260504_163019.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/gen_20260504_163019.log
new file mode 100644
index 0000000000000000000000000000000000000000..fbf8afe72b30dd7d2519ba324c9633ffc6d3265b
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/gen_20260504_163019.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fff1fd92ce19744bd06b418d3b6c357dfa8b03a6e2dadb1c31c75f57762eb18
+size 297
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/input_snapshot.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..f11278f1ffa8959e7869f70def91d0284f7dd656
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+      "exists": true,
+      "size": 92191,
+      "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+      "exists": true,
+      "size": 11482,
+      "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv",
+      "exists": true,
+      "size": 11559,
+      "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json",
+      "exists": true,
+      "size": 3336,
+      "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3810,
+      "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/ctgan_100epochs.pt b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/ctgan_100epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..c0f2fdc77c4f3e0788cdd693f2f2bd2ed97a3cb4
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/ctgan_100epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1735982b8a1196accf5fa3d751028415305c00286b49342dd845ccdf4171edb
+size 296675
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/train_20260504_162920.log b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/train_20260504_162920.log
new file mode 100644
index 0000000000000000000000000000000000000000..6e9831c5270bf75c1e2c4eb4085454182a52e85c
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/train_20260504_162920.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f12ac50c989ef88b4b247ec0de8a38cb7d48b186cd47b1ae55ce0e904fe030c
+size 20346
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,147 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "columns": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/public_gate/public_gate_report.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m4",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "charges",
+  "task_type": "regression",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/public_gate/staged_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8f24c7fe9e92f7fd58473243d225e823c6ba09e
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/public_gate/staged_input_manifest.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/run_config.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/run_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..17026468f7ac98957eac5a7392159a739976006c
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/run_config.json
@@ -0,0 +1,46 @@
+{
+  "schema_version": 1,
+  "recorded_at": "2026-05-04T16:29:20",
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "work_dir": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920",
+  "dataset_source_requested": "new",
+  "dataset_source_resolved": "new",
+  "cli_args": {
+    "model": "ctgan",
+    "dataset": "m4",
+    "dataset_source": "new",
+    "train": true,
+    "generate": true,
+    "num_rows": 0,
+    "epochs": null,
+    "output_dir": null,
+    "model_dir": null,
+    "work_dir": null,
+    "resume": false,
+    "no_stats": false
+  },
+  "resolved": {
+    "num_rows": 2217,
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/ctgan_100epochs.pt",
+    "output_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/ctgan-m4-2217-20260504_163019.csv"
+  },
+  "input_artifacts": {
+    "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/public_gate/public_gate_report.json",
+    "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/public_gate/staged_input_manifest.json",
+    "model_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/model_input_manifest.json",
+    "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/train.csv",
+    "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/staged_features.json",
+    "target_column": "charges",
+    "task_type": "regression"
+  },
+  "env_overrides": {
+    "BENCHMARK_CTGAN_GPUS": "device=3",
+    "CTGAN_BATCH_SIZE": "80",
+    "CTGAN_DEFAULT_EPOCHS": "100",
+    "CTGAN_DISCRIMINATOR_DIMS": "32,32",
+    "CTGAN_EMBEDDING_DIM": "16",
+    "CTGAN_GENERATOR_DIMS": "32,32",
+    "CTGAN_PAC": "5"
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/runtime_result.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..f115cc028f0b74ab7cbc3aa216d7c3eb92534435
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/runtime_result.json
@@ -0,0 +1,27 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "run_id": "ctgan-m4-20260504_162920",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/ctgan-m4-2217-20260504_163019.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/models_100epochs/ctgan_100epochs.pt"
+  },
+  "timings": {
+    "train": {
+      "started_at": "2026-05-04T16:29:20",
+      "ended_at": "2026-05-04T16:30:19",
+      "duration_sec": 59.085
+    },
+    "generate": {
+      "started_at": "2026-05-04T16:30:19",
+      "ended_at": "2026-05-04T16:30:25",
+      "duration_sec": 5.992
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/adapter_report.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..30fa05b5471fe1b2a7a06b2fe5ddfd6182cd1449
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/adapter_transforms_applied.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/model_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..6605d154467983325f599e76a16d6ae710802bf1
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/ctgan/model_input_manifest.json
@@ -0,0 +1,154 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "target_column": "charges",
+  "task_type": "regression",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_162920/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/staged_features.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "sex",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "bmi",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "children",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "smoker",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "region",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "charges",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/test.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea
+size 11298
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/train.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837
+size 90069
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/val.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_162920/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7
+size 11218
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/_ctgan_generate.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/_ctgan_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..9bd1b474a2c4e3a5589188b211b0e6e39efb81f0
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/_ctgan_generate.py
@@ -0,0 +1,18 @@
+import sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+model = CTGAN.load("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/models_200epochs/ctgan_200epochs.pt")
+total = 2217
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+sampled.to_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/ctgan-m4-2217-20260504_163207.csv", index=False)
+print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/ctgan-m4-2217-20260504_163207.csv")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/_ctgan_train.py b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/_ctgan_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..a841856a406bbb3e09660cb7d1a6488fd8eb5858
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/_ctgan_train.py
@@ -0,0 +1,17 @@
+import pandas as pd
+from ctgan.synthesizers.ctgan import CTGAN
+
+data = pd.read_csv("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/staged/public/train.csv")
+discrete_columns = ['sex', 'smoker', 'region']
+model = CTGAN(
+    embedding_dim=32,
+    generator_dim=(64, 64),
+    discriminator_dim=(64, 64),
+    batch_size=100,
+    pac=10,
+    epochs=200,
+    verbose=True,
+)
+model.fit(data, discrete_columns)
+model.save("/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/models_200epochs/ctgan_200epochs.pt")
+print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/models_200epochs/ctgan_200epochs.pt")
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/ctgan-m4-2217-20260504_163207.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/ctgan-m4-2217-20260504_163207.csv
new file mode 100644
index 0000000000000000000000000000000000000000..02a4410b10356bd5136a2b9cbee8b59d63cb1cea
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/ctgan-m4-2217-20260504_163207.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7baf2650acdb58a6960bf3482afc14f2a59738fbe3de156152a55cc7636ab39e
+size 136085
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/ctgan_metadata.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/ctgan_metadata.json
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+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/ctgan/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/staged/ctgan/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/ctgan/adapter_transforms_applied.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/ctgan/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/ctgan/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/ctgan/model_input_manifest.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/ctgan/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..033c4ca1a435c6ec97f441f3886476742ec4be6d
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/ctgan/model_input_manifest.json
@@ -0,0 +1,154 @@
+{
+  "dataset_id": "m4",
+  "model": "ctgan",
+  "target_column": "charges",
+  "task_type": "regression",
+  "column_schema": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "smoker",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "yes",
+          "no"
+        ]
+      }
+    },
+    {
+      "name": "region",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.001804,
+        "example_values": [
+          "northwest",
+          "southwest",
+          "southeast",
+          "northeast"
+        ]
+      }
+    },
+    {
+      "name": "charges",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1281,
+        "unique_ratio": 0.577808,
+        "example_values": [
+          "21677.28345",
+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/ctgan/ctgan-m4-20260504_163038/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/staged_features.json b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..d6acd098c35111f423f3ffff2cfd1754bc5dfebc
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "sex",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "bmi",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "children",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "smoker",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "region",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "charges",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/test.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c88a2e7cfcd715bb421cb56eb078033da45c4dc8
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c541b677fb2d45c5bc79338eeee9fd8c91484b195a0c2c546c2fbabf113b7ea
+size 11298
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/train.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5a05019d786529e0617291766c4fbe016ca01bf5
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:614ebfac5f41d6f661aff675fa18c0f933a8d9bcc77ea71b7b2360c2f0155837
+size 90069
diff --git a/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/val.csv b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d78fe5ad1537c437ba9ac2629f2aa60a6c17e708
--- /dev/null
+++ b/SynthData0523/main/m4/ctgan/ctgan-m4-20260504_163038/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e55f5edbe7942ff01630de91a9c70dfbc6445eba76c7b970350364546b67c2d7
+size 11218
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_X_host.npy b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_X_host.npy
new file mode 100644
index 0000000000000000000000000000000000000000..adf7790ed3b5f3fbf003c878147469425b445ed1
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_X_host.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2075e38ffa201390419d8ba927a30948410d3bae79c47b2d376e0991c42ba455
+size 62204
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_gen.py b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..99c06c9f2e40f637316b397ae4efb41f75d47b73
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_gen.py
@@ -0,0 +1,8 @@
+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(2217))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv', index=False)
+print("saved", len(df))
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_meta_host.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_meta_host.json
new file mode 100644
index 0000000000000000000000000000000000000000..ee3e9bf77c9008274d3ca5b068e49b142b0bb624
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_meta_host.json
@@ -0,0 +1 @@
+{"column_names": ["age", "sex", "bmi", "children", "smoker", "region", "charges"], "cat_indexes": [1, 4, 5]}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_train.py b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..be7c41b9f5840133c854a4fd69dae07d746b6a9d
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/_fd_train.py
@@ -0,0 +1,28 @@
+
+import shutil, json
+shutil.copy(r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/_fd_meta_host.json') as f:
+    open('/tmp/fd_meta.json','w').write(f.read())
+
+import numpy as np, joblib, json, os
+from ForestDiffusion import ForestDiffusionModel
+X = np.load("/tmp/fd_X.npy")
+with open("/tmp/fd_meta.json") as f:
+    meta = json.load(f)
+cat_indexes = meta["cat_indexes"]
+print(
+    "[ForestDiffusion] train config: "
+    f"rows={X.shape[0]} cols={X.shape[1]} n_t=20 "
+    f"n_estimators=100 duplicate_K=20 n_jobs=2 "
+    f"xgb_verbosity=1",
+    flush=True,
+)
+m = ForestDiffusionModel(
+    X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
+    model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
+    verbosity=1,
+)
+joblib.dump((m, meta), "/tmp/fd_model.joblib")
+print("ForestDiffusion train OK")
+
+shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib')
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv
new file mode 100644
index 0000000000000000000000000000000000000000..40f4d2556b25c995aab3a72e495ca09e60cf7272
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d1e822e21556cde5248d95d96cd519e49f17ca2f5347bc23d64bb417a8a7b49
+size 167912
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..cf5dbfcc3f0cbd8622d6359a378cf96f45d9b3fb
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/forestdiffusion_model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5441860108c9d0dc83f869bb3de0909d36382ceada4791c9e919556f81e9e5d
+size 83389261
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/gen_20260501_180613.log b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/gen_20260501_180613.log
new file mode 100644
index 0000000000000000000000000000000000000000..c35ca2f556f604f7dc47fbd89beedf075e8f5e64
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/gen_20260501_180613.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1165091351583dd9b06ceed67097a7d6651aae2370bc221259adf13f6bcfede0
+size 294
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/input_snapshot.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..5daa6d8c1d862349e305d0a5fcbd26d5361342b8
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m4",
+  "model": "forestdiffusion",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+      "exists": true,
+      "size": 92191,
+      "sha256": "396b9d409ca21bf4a4cd329bdf5b7796aa0ae6356fa8d89b8eb669b5880b81f1"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+      "exists": true,
+      "size": 11482,
+      "sha256": "ee3c247d02f56e1687d03c381e13125d6a3a2a411ac7f202ba8520a4be9f1784"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv",
+      "exists": true,
+      "size": 11559,
+      "sha256": "cadb9941124001b8fa7cb1ebae43b70a9ca56294f4df4d3c2f22c164c41757d4"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_profile.json",
+      "exists": true,
+      "size": 3336,
+      "sha256": "83e2764810e4a0e8cdece3a28dbd9134b7c9df6f2e56953e46d024ad2c4e035f"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m4/m4-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3810,
+      "sha256": "c23641b258629a845b164099bd0132886f8f6d0100e990494e0f92540f8987d9"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/models_fd/model.joblib b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/models_fd/model.joblib
new file mode 100644
index 0000000000000000000000000000000000000000..cf5dbfcc3f0cbd8622d6359a378cf96f45d9b3fb
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/models_fd/model.joblib
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5441860108c9d0dc83f869bb3de0909d36382ceada4791c9e919556f81e9e5d
+size 83389261
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..31ed9818686b11907df75e872e4ffbe010330880
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,147 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "columns": [
+    {
+      "name": "age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 47,
+        "unique_ratio": 0.0212,
+        "example_values": [
+          "46",
+          "38",
+          "19",
+          "27",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "sex",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.000902,
+        "example_values": [
+          "female",
+          "male"
+        ]
+      }
+    },
+    {
+      "name": "bmi",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 538,
+        "unique_ratio": 0.24267,
+        "example_values": [
+          "23.655",
+          "19.3",
+          "30.59",
+          "32.67",
+          "29.45"
+        ]
+      }
+    },
+    {
+      "name": "children",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.002706,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "2",
+          "5"
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\ No newline at end of file
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7a25408e2574124629ea9437356551e4d6f4790
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+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m4",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
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+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "charges",
+  "task_type": "regression",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m4/m4-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/staged_input_manifest.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..59c81493a710d9c0f09f2eda972818ddedcb844c
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+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/staged_input_manifest.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "m4",
+  "target_column": "charges",
+  "task_type": "regression",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json",
+  "column_schema": [
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diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/runtime_result.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/runtime_result.json
new file mode 100644
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--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/runtime_result.json
@@ -0,0 +1,27 @@
+{
+  "dataset_id": "m4",
+  "model": "forestdiffusion",
+  "run_id": "forest-m4-20260501_180515",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/forest-m4-2217-20260501_180613.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/models_fd/model.joblib"
+  },
+  "timings": {
+    "train": {
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+      "ended_at": "2026-05-01T18:06:13",
+      "duration_sec": 57.88
+    },
+    "generate": {
+      "started_at": "2026-05-01T18:06:13",
+      "ended_at": "2026-05-01T18:06:16",
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+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_report.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..56064736c23b7a069eff8b9fd4b35aa3d71c72f5
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_report.json
@@ -0,0 +1,7 @@
+{
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+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_transforms_applied.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/model_input_manifest.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f83a69a894d04252fc073ae019fd608f8fc425d4
--- /dev/null
+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/forestdiffusion/model_input_manifest.json
@@ -0,0 +1,154 @@
+{
+  "dataset_id": "m4",
+  "model": "forestdiffusion",
+  "target_column": "charges",
+  "task_type": "regression",
+  "column_schema": [
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+      "name": "age",
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+          "19",
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+          "26"
+        ]
+      }
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+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
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+        "unique_ratio": 0.000902,
+        "example_values": [
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+          "male"
+        ]
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+      "role": "feature",
+      "semantic_type": "numeric",
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+      "role": "feature",
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+      "role": "feature",
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+          "southwest",
+          "southeast",
+          "northeast"
+        ]
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+    {
+      "name": "charges",
+      "role": "target",
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+          "15820.699",
+          "1639.5631",
+          "2497.0383",
+          "2897.3235"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m4/forestdiffusion/forest-m4-20260501_180515/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json
new file mode 100644
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+++ b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/staged_features.json
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+[
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+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/test.csv b/SynthData0523/main/m4/forestdiffusion/forest-m4-20260501_180515/staged/public/test.csv
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diff --git a/SynthData0523/main/m4/realtabformer/rtf-m4-20260501_033611/staged/public/staged_features.json b/SynthData0523/main/m4/realtabformer/rtf-m4-20260501_033611/staged/public/staged_features.json
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