diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/_arf_generate.py b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/_arf_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..02b84a3554b84a5b17c1132c280362efd679e2f8
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/_arf_generate.py
@@ -0,0 +1,6 @@
+import pickle
+with open("/work/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/arf_model.pkl", "rb") as f:
+    model = pickle.load(f)
+syn = model.forge(n=820008)
+syn.to_csv("/work/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/arf-c10-820008-20260330_065346.csv", index=False)
+print(f"[ARF] Generated 820008 rows -> /work/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/arf-c10-820008-20260330_065346.csv")
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/_arf_train.py b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/_arf_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..524c9f8181ccfc52acba5225d9b9289f5038a9b4
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/_arf_train.py
@@ -0,0 +1,19 @@
+import pickle
+import pandas as pd
+from arfpy import arf
+
+df = pd.read_csv("/work/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/public/train.csv")
+df = df.dropna(axis=1, how="all")
+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-SpecializedModels/c10/arf/arf-c10-20260321_070559/arf_model.pkl", "wb") as f:
+    pickle.dump(model, f)
+print(f"[ARF] Model saved -> /work/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/arf_model.pkl")
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/arf-c10-1000-20260321_113536.csv b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/arf-c10-1000-20260321_113536.csv
new file mode 100644
index 0000000000000000000000000000000000000000..7389a1729430db7a5b037f7c4878454dafa4cd27
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/arf-c10-1000-20260321_113536.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8fc2c86c6a15bd1dd919038f733b6689827d65cafe5922e1e625eb94585ccae
+size 146934
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/arf-c10-820008-20260330_065346.csv b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/arf-c10-820008-20260330_065346.csv
new file mode 100644
index 0000000000000000000000000000000000000000..247bbc91003d40336c5d48553b093d3129ffbf52
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/arf-c10-820008-20260330_065346.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a013ad37b74a1f7a16da64cf018c649f430066d45aa4dce812cdf6089a1d719
+size 120697109
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/arf_model.pkl b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/arf_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..88bd91d37cce3534bf1e49c8025223b4fbcff1b1
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/arf_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c86cd876ed8da83282b22087759cb3d1fc4a2e26a1b0e8b3d1ab262e01b1122
+size 4190513894
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/gen_20260321_113536.log b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/gen_20260321_113536.log
new file mode 100644
index 0000000000000000000000000000000000000000..7d49f37bde64d67ccd1398edafc261f2bf809045
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/gen_20260321_113536.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e49397d687b7ded940c425d77180b3c370cdb5c462230632d48122bfebd566da
+size 441
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/gen_20260330_065346.log b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/gen_20260330_065346.log
new file mode 100644
index 0000000000000000000000000000000000000000..918691395f2e87441080ff7ff5a0ce79b259cbb3
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/gen_20260330_065346.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:39ff3562241fd71a2dc08a81fd0d5150ce7aeecc75737d2a4aa15a54580591b0
+size 445
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/input_snapshot.json b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..85de9ff9d639066d7b004402442ebf79fe7c30bc
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c10",
+  "model": "arf",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+      "exists": true,
+      "size": 20120947,
+      "sha256": "3f0896c550f560b85109ac3068970247496d270dffbe4e3a65f1ae8c802efb69"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+      "exists": true,
+      "size": 2515873,
+      "sha256": "f307196a54225193e989342002763a95db8b1f49f09fb016b4c5fde31ef17c2e"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv",
+      "exists": true,
+      "size": 2515318,
+      "sha256": "50018d09041167df4319bfcdd8cdc537760bf82d392263957ffae4c91b148f5e"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_profile.json",
+      "exists": true,
+      "size": 4980,
+      "sha256": "1383bc030a79a444c4c17990c67f5606f0d712d24b7d1a89283fcc74e1ffcf18"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_contract_v1.json",
+      "exists": true,
+      "size": 5499,
+      "sha256": "e7584b87745a0a20b041c278948f6376c018b6f57a63ef6eff8bedec61b3c763"
+    }
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..8d133dac81261e8cd9e0082ee0ba1b522047688b
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,233 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/public_gate/public_gate_report.json b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb748691103908f421e60e9b20f1b8f5e19d6d43
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c10",
+  "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": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/public_gate/staged_input_manifest.json b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c30bc363d3405a6485e49fc9d50a9b088b2cc53c
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/public_gate/staged_input_manifest.json
@@ -0,0 +1,238 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/runtime_result.json b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..41143b9af7e0baa445eb8c4cf4c23be576188114
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/runtime_result.json
@@ -0,0 +1,14 @@
+{
+  "dataset_id": "c10",
+  "model": "arf",
+  "run_id": "arf-c10-20260321_070559",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "skipped",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/arf-c10-820008-20260330_065346.csv"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/arf/adapter_report.json b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/arf/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..4864c483a890661c99d9f09d4faef5528bd4bbb0
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/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-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/arf/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/arf/adapter_transforms_applied.json b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/arf/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/arf/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/arf/model_input_manifest.json b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/arf/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b3726c494f2141c1dd1587d78ff0c410424fbbc7
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/arf/model_input_manifest.json
@@ -0,0 +1,240 @@
+{
+  "dataset_id": "c10",
+  "model": "arf",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/arf/arf-c10-20260321_070559/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/staged_features.json b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..738f555de963f0b145fb31b27e8268cdb79ec2b0
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/staged_features.json
@@ -0,0 +1,57 @@
+[
+  {
+    "feature_name": "s1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/test.csv b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f85f97dafd087ed38d24e3bad955a5bad976dcce
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e7ce2790bd0b291bf9cf968a4ff9b74964a9caf1d0c613d0897843583e3118f
+size 2412815
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/train.csv b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7b932370a250821d9c75ba86bcbc89bde3036b4
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8161358f4f74365c2c6f8c61a115d1f3f6598de4c923179d6c7a9a38b7912bd
+size 19300938
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/val.csv b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7eb383ee1dccbf560cf7ac65ce11a0a1f71c6a1
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c46e64f7ec21c60fd61ce6ee8e060ceb4f2f7f831a1cac5368efe861d0dfc3b
+size 2413372
diff --git a/syntheticSuccess/c10/arf/arf-c10-20260321_070559/train_20260321_070607.log b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/train_20260321_070607.log
new file mode 100644
index 0000000000000000000000000000000000000000..2a1183f3d8c824d57a3561325397a0d4b5cbac15
--- /dev/null
+++ b/syntheticSuccess/c10/arf/arf-c10-20260321_070559/train_20260321_070607.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6519669f99e37639490b77fefae8d080eccc866c3dfe8e889ca1d6ffb10e3984
+size 661
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/_bayesnet_generate.py b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/_bayesnet_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..15329568dba992c9ea427311f3b6c8b55651effd
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/_bayesnet_generate.py
@@ -0,0 +1,104 @@
+
+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-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/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(820008)
+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.to_csv("/work/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet-c10-820008-20260422_060308.csv", index=False)
+print(f"[BayesNet] Generated {len(final)} rows (requested {num_rows}) -> /work/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet-c10-820008-20260422_060308.csv")
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/_bayesnet_train.py b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/_bayesnet_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..0807fd8bd1078c5f5090a50fe187afa4093de941
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/_bayesnet_train.py
@@ -0,0 +1,118 @@
+
+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-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/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-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/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-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/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
+if _n_plan > 35 or _n_samples > 200000:
+    max_bins = 5
+if _n_plan > 55:
+    max_bins = 4
+print(f"[BayesNet] max_bins={max_bins} (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":
+        uniques = sorted(s.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] = s.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)
+network.fit(enc)
+
+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-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet_model.pkl", "wb") as _f:
+    pickle.dump(bundle, _f)
+print(f"[BayesNet] Model saved -> /work/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet_model.pkl")
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet-c10-820008-20260422_060308.csv b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet-c10-820008-20260422_060308.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8c78b3e5170ad843517aabdc2a9afbab785e0a86
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet-c10-820008-20260422_060308.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa54e141985ee46f066fbabf98d53f71899a1129ee19ff48b24c749e751918ca
+size 167250396
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet_coltypes.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet_coltypes.json
new file mode 100644
index 0000000000000000000000000000000000000000..5360b38fcc9b65dfcabcfb38f78115cc0d685c21
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet_coltypes.json
@@ -0,0 +1,49 @@
+{
+  "columns": [
+    {
+      "name": "s1",
+      "type": "continuous"
+    },
+    {
+      "name": "c1",
+      "type": "continuous"
+    },
+    {
+      "name": "s2",
+      "type": "continuous"
+    },
+    {
+      "name": "c2",
+      "type": "continuous"
+    },
+    {
+      "name": "s3",
+      "type": "continuous"
+    },
+    {
+      "name": "c3",
+      "type": "continuous"
+    },
+    {
+      "name": "s4",
+      "type": "continuous"
+    },
+    {
+      "name": "c4",
+      "type": "continuous"
+    },
+    {
+      "name": "s5",
+      "type": "continuous"
+    },
+    {
+      "name": "c5",
+      "type": "continuous"
+    },
+    {
+      "name": "class",
+      "type": "continuous"
+    }
+  ],
+  "integer_columns": []
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet_model.pkl b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..9f9c53a8097c6fece8e2d272c85ca0382e6a4ca7
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet_model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cae3493050dcda7012e685b3478c6c033aed068daeda5eadf97b23f92a5392e6
+size 6598
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/const_cols.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/const_cols.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/const_cols.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/gen_20260422_060308.log b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/gen_20260422_060308.log
new file mode 100644
index 0000000000000000000000000000000000000000..88813dbed2265b076d5e6f07ab7a86d0a40d56e3
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/gen_20260422_060308.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fa1a96f62ec4273d2b83605fb6b603b22ec0e921933add7f4bb630e2ddaa896
+size 3396
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/input_snapshot.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..a752d5deb1beced283c88a05445259bfb5c97be2
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c10",
+  "model": "bayesnet",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+      "exists": true,
+      "size": 20120947,
+      "sha256": "3f0896c550f560b85109ac3068970247496d270dffbe4e3a65f1ae8c802efb69"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+      "exists": true,
+      "size": 2515873,
+      "sha256": "f307196a54225193e989342002763a95db8b1f49f09fb016b4c5fde31ef17c2e"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv",
+      "exists": true,
+      "size": 2515318,
+      "sha256": "50018d09041167df4319bfcdd8cdc537760bf82d392263957ffae4c91b148f5e"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_profile.json",
+      "exists": true,
+      "size": 4980,
+      "sha256": "1383bc030a79a444c4c17990c67f5606f0d712d24b7d1a89283fcc74e1ffcf18"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_contract_v1.json",
+      "exists": true,
+      "size": 5499,
+      "sha256": "e7584b87745a0a20b041c278948f6376c018b6f57a63ef6eff8bedec61b3c763"
+    }
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..8d133dac81261e8cd9e0082ee0ba1b522047688b
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,233 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/public_gate_report.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb748691103908f421e60e9b20f1b8f5e19d6d43
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c10",
+  "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": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/staged_input_manifest.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c4bdb23bf79d6d0876f6c5bdba2a8dab1c0cc639
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/staged_input_manifest.json
@@ -0,0 +1,238 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/runtime_result.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..363043f13e7ac162e3b91847bd8d296e99a95750
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/runtime_result.json
@@ -0,0 +1,15 @@
+{
+  "dataset_id": "c10",
+  "model": "bayesnet",
+  "run_id": "bayesnet-c10-20260422_060152",
+  "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-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet-c10-820008-20260422_060308.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/bayesnet_model.pkl"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/bayesnet/adapter_report.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/bayesnet/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc3d18aa6ead9e7112e05779b2b1e3148ccfd4a5
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/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-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/staged/bayesnet/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/bayesnet/adapter_transforms_applied.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/bayesnet/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/bayesnet/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/bayesnet/model_input_manifest.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/bayesnet/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..0597494f71d80ea89a87c443b44685b902fdca6e
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/bayesnet/model_input_manifest.json
@@ -0,0 +1,240 @@
+{
+  "dataset_id": "c10",
+  "model": "bayesnet",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/bayesnet/bayesnet-c10-20260422_060152/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/staged_features.json b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..738f555de963f0b145fb31b27e8268cdb79ec2b0
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/staged_features.json
@@ -0,0 +1,57 @@
+[
+  {
+    "feature_name": "s1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/test.csv b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f85f97dafd087ed38d24e3bad955a5bad976dcce
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e7ce2790bd0b291bf9cf968a4ff9b74964a9caf1d0c613d0897843583e3118f
+size 2412815
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/train.csv b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7b932370a250821d9c75ba86bcbc89bde3036b4
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8161358f4f74365c2c6f8c61a115d1f3f6598de4c923179d6c7a9a38b7912bd
+size 19300938
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/val.csv b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7eb383ee1dccbf560cf7ac65ce11a0a1f71c6a1
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c46e64f7ec21c60fd61ce6ee8e060ceb4f2f7f831a1cac5368efe861d0dfc3b
+size 2413372
diff --git a/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/train_20260422_060202.log b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/train_20260422_060202.log
new file mode 100644
index 0000000000000000000000000000000000000000..85b1de002b336b61ee1dd6149d24a04a66be9d74
--- /dev/null
+++ b/syntheticSuccess/c10/bayesnet/bayesnet-c10-20260422_060152/train_20260422_060202.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bf6bb9d303d54dd34f35ec515d3aca27fd4fb1de0cc610b2b6d187fabd7209f
+size 3514
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/ctgan-c10-1000-20260321_182401.csv b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/ctgan-c10-1000-20260321_182401.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2f1dbdcc9cc60d4dcc64c60f31cbe97673480cf0
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/ctgan-c10-1000-20260321_182401.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b1ec765f22a3f96443d61c73526248099a249985b75418e2735007dd8c49fa3
+size 23516
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/ctgan-c10-820008-20260330_065341.csv b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/ctgan-c10-820008-20260330_065341.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ef44b478ddfb93add3243f9089745a8a193e0924
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/ctgan-c10-820008-20260330_065341.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7447cd12c7b86446c5ad2ddec18b84f684ef4c4d4ea2ddac10068123bccc1b1f
+size 19274920
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/ctgan_metadata.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/ctgan_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..0ae025ebe8b40dd48f050709834cc3bb4bca82fd
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/ctgan_metadata.json
@@ -0,0 +1,48 @@
+{
+  "columns": [
+    {
+      "name": "s1",
+      "type": "continuous"
+    },
+    {
+      "name": "c1",
+      "type": "continuous"
+    },
+    {
+      "name": "s2",
+      "type": "continuous"
+    },
+    {
+      "name": "c2",
+      "type": "continuous"
+    },
+    {
+      "name": "s3",
+      "type": "continuous"
+    },
+    {
+      "name": "c3",
+      "type": "continuous"
+    },
+    {
+      "name": "s4",
+      "type": "continuous"
+    },
+    {
+      "name": "c4",
+      "type": "continuous"
+    },
+    {
+      "name": "s5",
+      "type": "continuous"
+    },
+    {
+      "name": "c5",
+      "type": "continuous"
+    },
+    {
+      "name": "class",
+      "type": "continuous"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/gen_20260321_182401.log b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/gen_20260321_182401.log
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/gen_20260330_065341.log b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/gen_20260330_065341.log
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/input_snapshot.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..42bd4a439290629469028b353896ce546d620696
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c10",
+  "model": "ctgan",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+      "exists": true,
+      "size": 20120947,
+      "sha256": "3f0896c550f560b85109ac3068970247496d270dffbe4e3a65f1ae8c802efb69"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+      "exists": true,
+      "size": 2515873,
+      "sha256": "f307196a54225193e989342002763a95db8b1f49f09fb016b4c5fde31ef17c2e"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv",
+      "exists": true,
+      "size": 2515318,
+      "sha256": "50018d09041167df4319bfcdd8cdc537760bf82d392263957ffae4c91b148f5e"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_profile.json",
+      "exists": true,
+      "size": 4980,
+      "sha256": "1383bc030a79a444c4c17990c67f5606f0d712d24b7d1a89283fcc74e1ffcf18"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_contract_v1.json",
+      "exists": true,
+      "size": 5499,
+      "sha256": "e7584b87745a0a20b041c278948f6376c018b6f57a63ef6eff8bedec61b3c763"
+    }
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/models_300epochs/ctgan_300epochs.pt b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/models_300epochs/ctgan_300epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..34f7c092b601e8ffd1cfcb5073ed338be584b070
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/models_300epochs/ctgan_300epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0cd7848ec5908d1eaf36843c52a4e398e9f6d3a06f9dd2cfb6b353e6cb85c588
+size 1076323
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/models_300epochs/train_20260321_075125.log b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/models_300epochs/train_20260321_075125.log
new file mode 100644
index 0000000000000000000000000000000000000000..003a71ee569a05cd159dac9d0ecaaafbbf00a274
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/models_300epochs/train_20260321_075125.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e08d9cbaac7315c19cc6ffbb125e1699401614927b4f27c0faf3272174fc6602
+size 372
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..8d133dac81261e8cd9e0082ee0ba1b522047688b
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,233 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/public_gate/public_gate_report.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb748691103908f421e60e9b20f1b8f5e19d6d43
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c10",
+  "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": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/public_gate/staged_input_manifest.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..6490fb919003852ea5f8057cce5bfef22e56aab2
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/public_gate/staged_input_manifest.json
@@ -0,0 +1,238 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/runtime_result.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..01091dc727902dce1ab68de09edcf0cc1e5984e2
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/runtime_result.json
@@ -0,0 +1,14 @@
+{
+  "dataset_id": "c10",
+  "model": "ctgan",
+  "run_id": "ctgan-c10-20260321_075117",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "skipped",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/ctgan-c10-820008-20260330_065341.csv"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/ctgan/adapter_report.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/ctgan/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..ff6ebd314e0b5ccda93486020b0cdaf697b4cc35
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/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-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/staged/ctgan/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/ctgan/adapter_transforms_applied.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/ctgan/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/ctgan/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/ctgan/model_input_manifest.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/ctgan/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e76940ce97ffc9cb6d62877fd083e4da9561aa2
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/ctgan/model_input_manifest.json
@@ -0,0 +1,240 @@
+{
+  "dataset_id": "c10",
+  "model": "ctgan",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/ctgan/ctgan-c10-20260321_075117/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/staged_features.json b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..738f555de963f0b145fb31b27e8268cdb79ec2b0
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/staged_features.json
@@ -0,0 +1,57 @@
+[
+  {
+    "feature_name": "s1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/test.csv b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f85f97dafd087ed38d24e3bad955a5bad976dcce
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e7ce2790bd0b291bf9cf968a4ff9b74964a9caf1d0c613d0897843583e3118f
+size 2412815
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/train.csv b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7b932370a250821d9c75ba86bcbc89bde3036b4
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8161358f4f74365c2c6f8c61a115d1f3f6598de4c923179d6c7a9a38b7912bd
+size 19300938
diff --git a/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/val.csv b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7eb383ee1dccbf560cf7ac65ce11a0a1f71c6a1
--- /dev/null
+++ b/syntheticSuccess/c10/ctgan/ctgan-c10-20260321_075117/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c46e64f7ec21c60fd61ce6ee8e060ceb4f2f7f831a1cac5368efe861d0dfc3b
+size 2413372
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/_tabddpm_sample.py b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/_tabddpm_sample.py
new file mode 100644
index 0000000000000000000000000000000000000000..2f409c832e2cb6ef65fef1c701d7c35a98b59ce2
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/_tabddpm_sample.py
@@ -0,0 +1,67 @@
+import os, sys, subprocess, json
+import numpy as np
+import pandas as pd
+
+tabddpm_root = "/workspace/tabddpm/code"
+assert os.path.isdir(tabddpm_root), f"TabDDPM source not mounted: {tabddpm_root}"
+env = os.environ.copy()
+env["PYTHONPATH"] = tabddpm_root + (os.pathsep + env.get("PYTHONPATH", ""))
+
+# Reuse the compat wrapper (patches collections.Sequence for skorch)
+wrapper = os.path.join(tabddpm_root, "_compat_run.py")
+if not os.path.exists(wrapper):
+    with open(wrapper, "w") as f:
+        f.write(
+            "import collections, collections.abc\n"
+            "for _a in ('Sequence','MutableSequence','MutableMapping','Mapping',"
+            "'MutableSet','Set','Callable','Iterable','Iterator'):\n"
+            "    if not hasattr(collections, _a): setattr(collections, _a, getattr(collections.abc, _a, None))\n"
+            "import sys, runpy\n"
+            "sys.argv = sys.argv[1:]\n"
+            "runpy.run_path(sys.argv[0], run_name='__main__')\n"
+        )
+
+print(f"[TabDDPM] Sampling 820008 rows")
+ret = subprocess.run(
+    [sys.executable, wrapper, "scripts/pipeline.py",
+     "--config", "/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/config_sample_20260422_212637.toml",
+     "--sample"],
+    cwd=tabddpm_root,
+    env=env
+)
+if ret.returncode != 0:
+    sys.exit(ret.returncode)
+
+# 将 .npy 输出转为 CSV
+work_dir = "/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506"
+info_path = os.path.join(work_dir, "data", "info.json")
+with open(info_path) as f:
+    info = json.load(f)
+
+output_dir = os.path.join(work_dir, "output")
+col_names = info.get("column_names", [])
+
+parts = []
+x_num_path = os.path.join(output_dir, "X_num_train.npy")
+x_cat_path = os.path.join(output_dir, "X_cat_train.npy")
+y_path = os.path.join(output_dir, "y_train.npy")
+
+if os.path.exists(x_num_path):
+    parts.append(np.load(x_num_path, allow_pickle=True))
+if os.path.exists(x_cat_path):
+    parts.append(np.load(x_cat_path, allow_pickle=True).astype(float))
+if os.path.exists(y_path):
+    y = np.load(y_path, allow_pickle=True)
+    parts.append(y.reshape(-1, 1) if y.ndim == 1 else y)
+
+if parts:
+    combined = np.concatenate(parts, axis=1)
+    if col_names and len(col_names) == combined.shape[1]:
+        df = pd.DataFrame(combined, columns=col_names)
+    else:
+        df = pd.DataFrame(combined)
+    df.to_csv("/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/tabddpm-c10-820008-20260422_212637.csv", index=False)
+    print(f"[TabDDPM] Saved {len(df)} rows -> /work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/tabddpm-c10-820008-20260422_212637.csv")
+else:
+    print("[TabDDPM] WARNING: No output .npy files found")
+    sys.exit(1)
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/_tabddpm_train.py b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/_tabddpm_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..fcc8647a250fe947f5f3de4a7344cb911905b032
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/_tabddpm_train.py
@@ -0,0 +1,32 @@
+import os, sys, subprocess
+
+tabddpm_root = "/workspace/tabddpm/code"
+assert os.path.isdir(tabddpm_root), f"TabDDPM source not mounted: {tabddpm_root}"
+env = os.environ.copy()
+env["PYTHONPATH"] = tabddpm_root + (os.pathsep + env.get("PYTHONPATH", ""))
+
+# Write a wrapper that patches collections.Sequence (removed in Python 3.10+)
+# before running pipeline.py - needed because skorch uses old API
+wrapper = os.path.join(tabddpm_root, "_compat_run.py")
+with open(wrapper, "w") as f:
+    f.write(
+        "import collections, collections.abc\n"
+        "for _a in ('Sequence','MutableSequence','MutableMapping','Mapping',"
+        "'MutableSet','Set','Callable','Iterable','Iterator'):\n"
+        "    if not hasattr(collections, _a): setattr(collections, _a, getattr(collections.abc, _a, None))\n"
+        "import sys, runpy\n"
+        "sys.argv = sys.argv[1:]\n"
+        "runpy.run_path(sys.argv[0], run_name='__main__')\n"
+    )
+
+print(f"[TabDDPM] Training, config=/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/config.toml")
+ret = subprocess.run(
+    [sys.executable, wrapper, "scripts/pipeline.py",
+     "--config", "/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/config.toml",
+     "--train"],
+    cwd=tabddpm_root,
+    env=env
+)
+if ret.returncode != 0:
+    sys.exit(ret.returncode)
+print("[TabDDPM] Training complete")
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/config.toml b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..a6c4ba2ece4fceac6c5d148d74ca787d5195eabd
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/config.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/output"
+real_data_path = "/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/data"
+model_type = "mlp"
+num_numerical_features = 10
+device = "cuda:0"
+
+[model_params]
+d_in = 10
+num_classes = 10
+is_y_cond = true
+
+[model_params.rtdl_params]
+d_layers = [256, 256]
+dropout = 0.0
+
+[diffusion_params]
+num_timesteps = 1000
+gaussian_loss_type = "mse"
+
+[train.main]
+steps = 5000
+lr = 0.001
+weight_decay = 0.0
+batch_size = 256
+
+[train.T]
+seed = 0
+normalization = "quantile"
+num_nan_policy = "__none__"
+cat_nan_policy = "__none__"
+cat_min_frequency = "__none__"
+cat_encoding = "__none__"
+y_policy = "default"
+
+[sample]
+num_samples = 1000
+batch_size = 1000
+seed = 0
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/config_sample_20260422_212637.toml b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/config_sample_20260422_212637.toml
new file mode 100644
index 0000000000000000000000000000000000000000..2c38a4b6998007c905349474b5bee8b76472b7db
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/config_sample_20260422_212637.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/output"
+real_data_path = "/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/data"
+model_type = "mlp"
+num_numerical_features = 10
+device = "cuda:0"
+
+[model_params]
+d_in = 10
+num_classes = 10
+is_y_cond = true
+
+[model_params.rtdl_params]
+d_layers = [256, 256]
+dropout = 0.0
+
+[diffusion_params]
+num_timesteps = 1000
+gaussian_loss_type = "mse"
+
+[train.main]
+steps = 5000
+lr = 0.001
+weight_decay = 0.0
+batch_size = 256
+
+[train.T]
+seed = 0
+normalization = "quantile"
+num_nan_policy = "__none__"
+cat_nan_policy = "__none__"
+cat_min_frequency = "__none__"
+cat_encoding = "__none__"
+y_policy = "default"
+
+[sample]
+num_samples = 820008
+batch_size = 1000
+seed = 0
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/data/X_num_train.npy b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/data/X_num_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..2680ecf80b6daaa9d92f84e474ad52b680ae417c
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/data/X_num_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78fd7e530c517507e311c5b5864d040dbd89bca793fa22140242b2fc2eb3f4a0
+size 32800448
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/data/info.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/data/info.json
new file mode 100644
index 0000000000000000000000000000000000000000..8700edd125abf8397e272d41d07f67b4491143b4
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/data/info.json
@@ -0,0 +1,37 @@
+{
+  "name": "benchmark_dataset",
+  "task_type": "multiclass",
+  "n_num_features": 10,
+  "n_cat_features": 0,
+  "train_size": 820008,
+  "num_col_idx": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9
+  ],
+  "cat_col_idx": [],
+  "target_col_idx": [
+    10
+  ],
+  "column_names": [
+    "s1",
+    "c1",
+    "s2",
+    "c2",
+    "s3",
+    "c3",
+    "s4",
+    "c4",
+    "s5",
+    "c5",
+    "class"
+  ],
+  "num_classes": 10
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/data/y_train.npy b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/data/y_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..71d76d75bef4c68e6335badcbbb55d36e6f0bee3
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/data/y_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6baccf6c96a9eb9bbcde5188ab911e53c0ea3da3e713c3ffe0c8607efec260c2
+size 6560192
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/gen_20260422_212637.log b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/gen_20260422_212637.log
new file mode 100644
index 0000000000000000000000000000000000000000..1b03d02d27ce06612c407504696588a2e80ceeb4
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/gen_20260422_212637.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:edc92914096951bc291bbf10e4b0d0284cb304bcb1864b317b739a47bd80a0cb
+size 17241269
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/input_snapshot.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..725b1a915e6bd3a1bf58cdf025f75bae9edcdbe5
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c10",
+  "model": "tabddpm",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+      "exists": true,
+      "size": 20120947,
+      "sha256": "3f0896c550f560b85109ac3068970247496d270dffbe4e3a65f1ae8c802efb69"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+      "exists": true,
+      "size": 2515873,
+      "sha256": "f307196a54225193e989342002763a95db8b1f49f09fb016b4c5fde31ef17c2e"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv",
+      "exists": true,
+      "size": 2515318,
+      "sha256": "50018d09041167df4319bfcdd8cdc537760bf82d392263957ffae4c91b148f5e"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_profile.json",
+      "exists": true,
+      "size": 4980,
+      "sha256": "1383bc030a79a444c4c17990c67f5606f0d712d24b7d1a89283fcc74e1ffcf18"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_contract_v1.json",
+      "exists": true,
+      "size": 5499,
+      "sha256": "e7584b87745a0a20b041c278948f6376c018b6f57a63ef6eff8bedec61b3c763"
+    }
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/X_num_train.npy b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/X_num_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..1b5cc5365feed497174904939473667e3259762c
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/X_num_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a854522f435455c7b1953830c5b3fc3d3f4e0c86a1901eca4c473edfe627d6e
+size 65600768
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/X_num_unnorm.npy b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/X_num_unnorm.npy
new file mode 100644
index 0000000000000000000000000000000000000000..dc5a69c651f4dcfee31ac8aa8531d0032dbd455f
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/X_num_unnorm.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71cd333779897468f09d9d552c722a5c937fc96bd5eb5d24790b4deb14e371ac
+size 65600768
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/config.toml b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..2c38a4b6998007c905349474b5bee8b76472b7db
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/config.toml
@@ -0,0 +1,39 @@
+seed = 0
+parent_dir = "/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/output"
+real_data_path = "/work/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/data"
+model_type = "mlp"
+num_numerical_features = 10
+device = "cuda:0"
+
+[model_params]
+d_in = 10
+num_classes = 10
+is_y_cond = true
+
+[model_params.rtdl_params]
+d_layers = [256, 256]
+dropout = 0.0
+
+[diffusion_params]
+num_timesteps = 1000
+gaussian_loss_type = "mse"
+
+[train.main]
+steps = 5000
+lr = 0.001
+weight_decay = 0.0
+batch_size = 256
+
+[train.T]
+seed = 0
+normalization = "quantile"
+num_nan_policy = "__none__"
+cat_nan_policy = "__none__"
+cat_min_frequency = "__none__"
+cat_encoding = "__none__"
+y_policy = "default"
+
+[sample]
+num_samples = 820008
+batch_size = 1000
+seed = 0
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/info.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/info.json
new file mode 100644
index 0000000000000000000000000000000000000000..8700edd125abf8397e272d41d07f67b4491143b4
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/info.json
@@ -0,0 +1,37 @@
+{
+  "name": "benchmark_dataset",
+  "task_type": "multiclass",
+  "n_num_features": 10,
+  "n_cat_features": 0,
+  "train_size": 820008,
+  "num_col_idx": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9
+  ],
+  "cat_col_idx": [],
+  "target_col_idx": [
+    10
+  ],
+  "column_names": [
+    "s1",
+    "c1",
+    "s2",
+    "c2",
+    "s3",
+    "c3",
+    "s4",
+    "c4",
+    "s5",
+    "c5",
+    "class"
+  ],
+  "num_classes": 10
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/loss.csv b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/loss.csv
new file mode 100644
index 0000000000000000000000000000000000000000..6a60273f115e83e2e0c55b3ddc440c9432d743c2
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/loss.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb2370d627b94c3d05e26c24fb6afd60283e9cf415b58d0812106c91cf897f8d
+size 1253
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/model.pt b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/model.pt
new file mode 100644
index 0000000000000000000000000000000000000000..282e210a40c7f3cec258938c7599c9f2bb760cee
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/model.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab81b7070810236e006c67a576eaa43bf4ec4f2ec7651fb94dec4f55bacb35d1
+size 553046
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/model_ema.pt b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/model_ema.pt
new file mode 100644
index 0000000000000000000000000000000000000000..b40d45efba6adccb26545a893e828a6318a8efe3
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/model_ema.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a5f81439405c7aced176459c550b222dbc4da89bfe03f7bb2ceb934096c767f
+size 553890
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/y_train.npy b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/y_train.npy
new file mode 100644
index 0000000000000000000000000000000000000000..4aadcf249c75505a32d5173eca24fe1a5b0fd816
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/output/y_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b485cf99fce06a8f1b2deafde3c901bb8f072a98a8d5aa409d45a8ee5382935
+size 6560192
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..8d133dac81261e8cd9e0082ee0ba1b522047688b
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,233 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/public_gate_report.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb748691103908f421e60e9b20f1b8f5e19d6d43
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c10",
+  "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": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/staged_input_manifest.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..0fedb158f0380ba830f028ad2bb29dafec0f1862
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/staged_input_manifest.json
@@ -0,0 +1,238 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/runtime_result.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..d012a0b0b50e91617518a61a2b6f96691981809b
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/runtime_result.json
@@ -0,0 +1,15 @@
+{
+  "dataset_id": "c10",
+  "model": "tabddpm",
+  "run_id": "tabddpm-c10-20260422_212506",
+  "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-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/tabddpm-c10-820008-20260422_212637.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/staged_features.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..738f555de963f0b145fb31b27e8268cdb79ec2b0
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/staged_features.json
@@ -0,0 +1,57 @@
+[
+  {
+    "feature_name": "s1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/test.csv b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f85f97dafd087ed38d24e3bad955a5bad976dcce
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e7ce2790bd0b291bf9cf968a4ff9b74964a9caf1d0c613d0897843583e3118f
+size 2412815
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/train.csv b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7b932370a250821d9c75ba86bcbc89bde3036b4
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8161358f4f74365c2c6f8c61a115d1f3f6598de4c923179d6c7a9a38b7912bd
+size 19300938
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/val.csv b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7eb383ee1dccbf560cf7ac65ce11a0a1f71c6a1
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c46e64f7ec21c60fd61ce6ee8e060ceb4f2f7f831a1cac5368efe861d0dfc3b
+size 2413372
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/adapter_report.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..e3b0c7a1a5f8ab6fae84a7821869f6257541d161
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/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-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/adapter_transforms_applied.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/model_input_manifest.json b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..7098381866bb27c49c4973d98e4cbac23d8b55e5
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/staged/tabddpm/model_input_manifest.json
@@ -0,0 +1,240 @@
+{
+  "dataset_id": "c10",
+  "model": "tabddpm",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabddpm/tabddpm-c10-20260422_212506/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/tabddpm-c10-820008-20260422_212637.csv b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/tabddpm-c10-820008-20260422_212637.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a40803be4ae3918bbfa1b692e93cf7b34654b906
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/tabddpm-c10-820008-20260422_212637.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1fcc73b73b694139243c0bbe2856ebb1fd8f01e20781d931ef4156e8a85a38c
+size 37355099
diff --git a/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/train_20260422_212519.log b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/train_20260422_212519.log
new file mode 100644
index 0000000000000000000000000000000000000000..8d60354b90dd9d333b7715c5d3b0f135ba153a28
--- /dev/null
+++ b/syntheticSuccess/c10/tabddpm/tabddpm-c10-20260422_212506/train_20260422_212519.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2506174a8517d6d7dee8195f888481aa3c3b9502db282ae185920f8581214da2
+size 796
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/_tabpfgen_generate.py b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/_tabpfgen_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..554694f38d577424034f2ef302126d427f4782d4
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/_tabpfgen_generate.py
@@ -0,0 +1,68 @@
+import numpy as np
+import pandas as pd
+import json
+from tabpfgen import TabPFGen
+
+df = pd.read_csv("/work/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/train.csv")
+target_col = "class"
+
+feature_cols = [c for c in df.columns if c != target_col]
+
+# --- Label-encode categorical / object columns ---
+cat_encodings = {}  # col -> list of unique values (index = code)
+for col in feature_cols:
+    if df[col].dtype == object or str(df[col].dtype) == 'category':
+        cats = sorted(df[col].dropna().unique().tolist(), key=str)
+        cat_map = {v: i for i, v in enumerate(cats)}
+        df[col] = df[col].map(cat_map).astype(float)
+        cat_encodings[col] = cats
+        print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)")
+
+# Encode target if categorical
+target_cats = None
+if df[target_col].dtype == object or str(df[target_col].dtype) == 'category':
+    cats = sorted(df[target_col].dropna().unique().tolist(), key=str)
+    t_map = {v: i for i, v in enumerate(cats)}
+    df[target_col] = df[target_col].map(t_map).astype(float)
+    target_cats = cats
+    print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)")
+
+X = df[feature_cols].values.astype(np.float32)
+y = df[target_col].values
+
+# Handle NaN
+for i in range(X.shape[1]):
+    col_vals = X[:, i]
+    mask = np.isnan(col_vals)
+    if mask.any():
+        mean_val = np.nanmean(col_vals)
+        X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0
+
+gen = TabPFGen(
+    n_sgld_steps=1000,
+    sgld_step_size=0.01,
+    sgld_noise_scale=0.01,
+    device="auto",
+)
+
+print(f"[TabPFGen] Generating 1000 rows via generate_regression")
+X_syn, y_syn = gen.generate_regression(X, y, n_samples=1000)
+
+syn_df = pd.DataFrame(X_syn, columns=feature_cols)
+syn_df[target_col] = y_syn
+
+# --- Inverse label-encoding for categorical columns ---
+for col, cats in cat_encodings.items():
+    # Round to nearest integer index, clamp to valid range
+    codes = np.round(syn_df[col].values).astype(int)
+    codes = np.clip(codes, 0, len(cats) - 1)
+    syn_df[col] = [cats[c] for c in codes]
+
+if target_cats is not None:
+    codes = np.round(syn_df[target_col].values).astype(int)
+    codes = np.clip(codes, 0, len(target_cats) - 1)
+    syn_df[target_col] = [target_cats[c] for c in codes]
+
+syn_df = syn_df[list(df.columns)]
+syn_df.to_csv("/work/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/tabpfgen-c10-1000-20260321_062620.csv", index=False)
+print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/tabpfgen-c10-1000-20260321_062620.csv")
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/gen_20260321_062620.log b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/gen_20260321_062620.log
new file mode 100644
index 0000000000000000000000000000000000000000..8e722fb5c81b139ddcde09bbe639b967f6abd567
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/gen_20260321_062620.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:35096d0eb260d340b8509d1c01cf3138faca4cc6687f2a403dc8ef3e6cb07d81
+size 1132
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/input_snapshot.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..7592067360e28c19dcb06edf6ad0dfef2bfa2e68
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c10",
+  "model": "tabpfgen",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+      "exists": true,
+      "size": 20120947,
+      "sha256": "3f0896c550f560b85109ac3068970247496d270dffbe4e3a65f1ae8c802efb69"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+      "exists": true,
+      "size": 2515873,
+      "sha256": "f307196a54225193e989342002763a95db8b1f49f09fb016b4c5fde31ef17c2e"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv",
+      "exists": true,
+      "size": 2515318,
+      "sha256": "50018d09041167df4319bfcdd8cdc537760bf82d392263957ffae4c91b148f5e"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_profile.json",
+      "exists": true,
+      "size": 4980,
+      "sha256": "1383bc030a79a444c4c17990c67f5606f0d712d24b7d1a89283fcc74e1ffcf18"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_contract_v1.json",
+      "exists": true,
+      "size": 5499,
+      "sha256": "e7584b87745a0a20b041c278948f6376c018b6f57a63ef6eff8bedec61b3c763"
+    }
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..8d133dac81261e8cd9e0082ee0ba1b522047688b
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,233 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/public_gate_report.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb748691103908f421e60e9b20f1b8f5e19d6d43
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c10",
+  "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": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/staged_input_manifest.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..65fef9b7bf6241d9b061e4a859db68ee2491f07a
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/staged_input_manifest.json
@@ -0,0 +1,238 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/runtime_result.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..96f8d8bb60855d704c120f7a0aa01caf2315c8e9
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/runtime_result.json
@@ -0,0 +1,15 @@
+{
+  "dataset_id": "c10",
+  "model": "tabpfgen",
+  "run_id": "tabpfgen-c10-20260321_062611",
+  "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-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/tabpfgen-c10-1000-20260321_062620.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/staged_features.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..738f555de963f0b145fb31b27e8268cdb79ec2b0
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/staged_features.json
@@ -0,0 +1,57 @@
+[
+  {
+    "feature_name": "s1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/test.csv b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f85f97dafd087ed38d24e3bad955a5bad976dcce
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e7ce2790bd0b291bf9cf968a4ff9b74964a9caf1d0c613d0897843583e3118f
+size 2412815
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/train.csv b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7b932370a250821d9c75ba86bcbc89bde3036b4
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8161358f4f74365c2c6f8c61a115d1f3f6598de4c923179d6c7a9a38b7912bd
+size 19300938
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/val.csv b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7eb383ee1dccbf560cf7ac65ce11a0a1f71c6a1
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c46e64f7ec21c60fd61ce6ee8e060ceb4f2f7f831a1cac5368efe861d0dfc3b
+size 2413372
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/adapter_report.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..86403698246f2d60bc9c54b508694fe198fdf104
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/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-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/adapter_transforms_applied.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/model_input_manifest.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..576974fc3b0457db11af491337235065f9f78e76
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/tabpfgen/model_input_manifest.json
@@ -0,0 +1,240 @@
+{
+  "dataset_id": "c10",
+  "model": "tabpfgen",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/tabpfgen-c10-1000-20260321_062620.csv b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/tabpfgen-c10-1000-20260321_062620.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1da8067e03eda4c6c4ac4c6c74f617027ef262c8
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/tabpfgen-c10-1000-20260321_062620.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d754f1b954b522c4798cd8cc13c0a650da6dd961fac069dcc1bb06379dff5433
+size 115819
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/tabpfgen_meta.json b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/tabpfgen_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..4fab01c71868c80bf7eeb372f65279716dcdcb0c
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/tabpfgen_meta.json
@@ -0,0 +1,8 @@
+{
+  "csv_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/train.csv",
+  "json_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tabpfgen/tabpfgen-c10-20260321_062611/staged/public/staged_features.json",
+  "target_col": "class",
+  "is_classification": false,
+  "n_rows": 820008,
+  "n_cols": 11
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/train_20260321_062620.log b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/train_20260321_062620.log
new file mode 100644
index 0000000000000000000000000000000000000000..7e7ea2814255ba5962c9a161b0f94f3109e52f62
--- /dev/null
+++ b/syntheticSuccess/c10/tabpfgen/tabpfgen-c10-20260321_062611/train_20260321_062620.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a0e1e527268286e149f0fcb00131b059a956e295a9dfc12c8802bbf5d876e73
+size 188
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/_tvae_generate.py b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..e6d1f78ce5ebe521715b9f4f7fc828b3ef4bf59b
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/_tvae_generate.py
@@ -0,0 +1,5 @@
+from ctgan.synthesizers.tvae import TVAE
+model = TVAE.load("/work/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/models_300epochs/tvae_300epochs.pt")
+samples = model.sample(820008)
+samples.to_csv("/work/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/tvae-c10-820008-20260330_065344.csv", index=False)
+print(f"[TVAE] Generated 820008 rows -> /work/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/tvae-c10-820008-20260330_065344.csv")
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/_tvae_train.py b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..ae8e1672da51c1474866585db18a78f5601d22c1
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/_tvae_train.py
@@ -0,0 +1,16 @@
+import json, sys
+import pandas as pd
+from ctgan.data import read_csv
+from ctgan.synthesizers.tvae import TVAE
+
+csv_path = "/work/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/public/train.csv"
+meta_path = "/work/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/tvae_metadata.json"
+save_path = "/work/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/models_300epochs/tvae_300epochs.pt"
+epochs = 300
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}")
+model = TVAE(epochs=epochs, batch_size=500)
+model.fit(data, discrete_columns)
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/gen_20260321_112048.log b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/gen_20260321_112048.log
new file mode 100644
index 0000000000000000000000000000000000000000..f4ea52d7d8dbe9ae4644cdbca299cac62644a570
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/gen_20260321_112048.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54f9dfdae2e526e58e8c37800387deeb09aecc72fb59b18aa6dd1f710c21d7a8
+size 129
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/gen_20260330_065344.log b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/gen_20260330_065344.log
new file mode 100644
index 0000000000000000000000000000000000000000..45e46f6c720a8ef894b339b203f54497bf1633be
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/gen_20260330_065344.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab9553499d7e5404e27e11ed68fef03ca556c8fc2606d95f021be046aaf967a3
+size 133
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/input_snapshot.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..36eec7c0ccf76ee8767b4ae47f2da90b8b3e697a
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c10",
+  "model": "tvae",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+      "exists": true,
+      "size": 20120947,
+      "sha256": "3f0896c550f560b85109ac3068970247496d270dffbe4e3a65f1ae8c802efb69"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+      "exists": true,
+      "size": 2515873,
+      "sha256": "f307196a54225193e989342002763a95db8b1f49f09fb016b4c5fde31ef17c2e"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv",
+      "exists": true,
+      "size": 2515318,
+      "sha256": "50018d09041167df4319bfcdd8cdc537760bf82d392263957ffae4c91b148f5e"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_profile.json",
+      "exists": true,
+      "size": 4980,
+      "sha256": "1383bc030a79a444c4c17990c67f5606f0d712d24b7d1a89283fcc74e1ffcf18"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c10/c10-dataset_contract_v1.json",
+      "exists": true,
+      "size": 5499,
+      "sha256": "e7584b87745a0a20b041c278948f6376c018b6f57a63ef6eff8bedec61b3c763"
+    }
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/models_300epochs/train_20260321_072408.log b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/models_300epochs/train_20260321_072408.log
new file mode 100644
index 0000000000000000000000000000000000000000..d8f489d68431d952b2291d1c0c89b129f505e952
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/models_300epochs/train_20260321_072408.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8a105dc268598a987fb7df8cf933a46ffc92cf2f964b156d34301908323539a
+size 174
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/models_300epochs/tvae_300epochs.pt b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/models_300epochs/tvae_300epochs.pt
new file mode 100644
index 0000000000000000000000000000000000000000..a229d10d4129c74469a65332020bb6572dd69df2
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/models_300epochs/tvae_300epochs.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:383f8d3841b61779ca8daeebb81a14f6be039bd232e2db9f85e1ceed37f41814
+size 13982188
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..8d133dac81261e8cd9e0082ee0ba1b522047688b
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,233 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/public_gate/public_gate_report.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb748691103908f421e60e9b20f1b8f5e19d6d43
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c10",
+  "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": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c10/c10-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/public_gate/staged_input_manifest.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..c4a279b76302869fa931edfb5751cdfa5299d2b9
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/public_gate/staged_input_manifest.json
@@ -0,0 +1,238 @@
+{
+  "dataset_id": "c10",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/runtime_result.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..35b0e57037b3ef3f1c5b15b5027b8fd0174badbb
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/runtime_result.json
@@ -0,0 +1,14 @@
+{
+  "dataset_id": "c10",
+  "model": "tvae",
+  "run_id": "tvae-c10-20260321_072400",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "skipped",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/tvae-c10-820008-20260330_065344.csv"
+  }
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/staged_features.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..738f555de963f0b145fb31b27e8268cdb79ec2b0
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/staged_features.json
@@ -0,0 +1,57 @@
+[
+  {
+    "feature_name": "s1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c1",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c2",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c3",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c4",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "s5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "c5",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "continuous",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/test.csv b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f85f97dafd087ed38d24e3bad955a5bad976dcce
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/test.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e7ce2790bd0b291bf9cf968a4ff9b74964a9caf1d0c613d0897843583e3118f
+size 2412815
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/train.csv b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7b932370a250821d9c75ba86bcbc89bde3036b4
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/train.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8161358f4f74365c2c6f8c61a115d1f3f6598de4c923179d6c7a9a38b7912bd
+size 19300938
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/val.csv b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7eb383ee1dccbf560cf7ac65ce11a0a1f71c6a1
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/public/val.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c46e64f7ec21c60fd61ce6ee8e060ceb4f2f7f831a1cac5368efe861d0dfc3b
+size 2413372
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/tvae/adapter_report.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/tvae/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..ea44a37f111a59e56814a78acdf1175c43968f9a
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/tvae/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-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/tvae/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/tvae/adapter_transforms_applied.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/tvae/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/tvae/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/tvae/model_input_manifest.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/tvae/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..f48db45ca51436fc492bf29c7ee51fa4f24dc18e
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/staged/tvae/model_input_manifest.json
@@ -0,0 +1,240 @@
+{
+  "dataset_id": "c10",
+  "model": "tvae",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "s1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c1",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "1",
+          "9",
+          "2",
+          "5",
+          "10"
+        ]
+      }
+    },
+    {
+      "name": "s2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "2",
+          "4",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c2",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "13",
+          "5",
+          "12",
+          "6",
+          "11"
+        ]
+      }
+    },
+    {
+      "name": "s3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "1",
+          "3",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "c3",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "4",
+          "10",
+          "13",
+          "5",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "s4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "2",
+          "4",
+          "1",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c4",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "3",
+          "11",
+          "4",
+          "10",
+          "9"
+        ]
+      }
+    },
+    {
+      "name": "s5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 5e-06,
+        "example_values": [
+          "1",
+          "4",
+          "2",
+          "3"
+        ]
+      }
+    },
+    {
+      "name": "c5",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05,
+        "example_values": [
+          "12",
+          "8",
+          "3",
+          "11",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 1.2e-05,
+        "example_values": [
+          "0",
+          "1",
+          "6",
+          "3",
+          "2"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c10/tvae/tvae-c10-20260321_072400/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/tvae-c10-1000-20260321_112048.csv b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/tvae-c10-1000-20260321_112048.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2cedd5547931b966b898abb677effdb1fa7e711a
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/tvae-c10-1000-20260321_112048.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84f77cdc79cef412445873a06311fc62aaefb6ee397ae5c4082432a7da189cbe
+size 23971
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/tvae-c10-820008-20260330_065344.csv b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/tvae-c10-820008-20260330_065344.csv
new file mode 100644
index 0000000000000000000000000000000000000000..344227da4bc8efbad393327d58156bb33fa70ed6
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/tvae-c10-820008-20260330_065344.csv
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ee1c9c314df496b932cb52cfc45e31f3d2eecfcc0cd8d254294aba2c1a6c1dc
+size 19570007
diff --git a/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/tvae_metadata.json b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/tvae_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..0ae025ebe8b40dd48f050709834cc3bb4bca82fd
--- /dev/null
+++ b/syntheticSuccess/c10/tvae/tvae-c10-20260321_072400/tvae_metadata.json
@@ -0,0 +1,48 @@
+{
+  "columns": [
+    {
+      "name": "s1",
+      "type": "continuous"
+    },
+    {
+      "name": "c1",
+      "type": "continuous"
+    },
+    {
+      "name": "s2",
+      "type": "continuous"
+    },
+    {
+      "name": "c2",
+      "type": "continuous"
+    },
+    {
+      "name": "s3",
+      "type": "continuous"
+    },
+    {
+      "name": "c3",
+      "type": "continuous"
+    },
+    {
+      "name": "s4",
+      "type": "continuous"
+    },
+    {
+      "name": "c4",
+      "type": "continuous"
+    },
+    {
+      "name": "s5",
+      "type": "continuous"
+    },
+    {
+      "name": "c5",
+      "type": "continuous"
+    },
+    {
+      "name": "class",
+      "type": "continuous"
+    }
+  ]
+}
\ No newline at end of file