diff --git a/.gitattributes b/.gitattributes
index 6102cad38a961f4047a35e743ebfd268e3064650..ae7c8956eb210999f66a64febc147d538a4d80e4 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -2921,3 +2921,49 @@ SynthData0523/main/c19/tabdiff/tabdiff-c19-20260512_231303/tabular_bundle/pipeli
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 SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/gen_20260422_200228.log filter=lfs diff=lfs merge=lfs -text
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diff --git a/SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/input_snapshot.json b/SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/input_snapshot.json
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diff --git a/SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/staged/tabpfgen/adapter_transforms_applied.json b/SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/staged/tabpfgen/adapter_transforms_applied.json
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diff --git a/SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/tabpfgen-c19-32759-20260422_200228.csv b/SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/tabpfgen-c19-32759-20260422_200228.csv
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diff --git a/SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/train_20260422_200228.log b/SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/train_20260422_200228.log
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+++ b/SynthData0523/main/c19/tabpfgen/tabpfgen-c19-20260422_200215/train_20260422_200228.log
@@ -0,0 +1,3 @@
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diff --git a/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/_tabsyn_sample.py b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/_tabsyn_sample.py
new file mode 100644
index 0000000000000000000000000000000000000000..32dffd7a175ba880e1e9787270b499021b242dcb
--- /dev/null
+++ b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/_tabsyn_sample.py
@@ -0,0 +1,39 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-SpecializedModels/c19/tabsyn/tabsyn-c19-20260426_203054"
+dataname = "tabsyn_c19"
+output_csv = "/work/output-SpecializedModels/c19/tabsyn/tabsyn-c19-20260426_203054/tabsyn-c19-32759-20260426_205855.csv"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+old = os.environ.get("PYTHONPATH", "")
+os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "")
+sys.path.insert(0, tabsyn_root)
+
+os.chdir(tabsyn_root)
+
+# Ensure data symlink exists
+data_link = os.path.join(tabsyn_root, "data", dataname)
+data_src = os.path.join(work_dir, "data", dataname)
+os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True)
+if os.path.exists(data_link):
+    os.remove(data_link)
+os.symlink(data_src, data_link)
+
+print(f"[TabSyn] Sampling 32759 rows")
+env = os.environ.copy()
+env.setdefault("TABSYN_RESUME", "1")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "sample",
+     "--method", "tabsyn",
+     "--gpu", "0",
+     "--save_path", output_csv],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    sys.exit(ret.returncode)
+print(f"[TabSyn] Saved -> {output_csv}")
diff --git a/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/_tabsyn_train.py b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/_tabsyn_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..7792072ec7a51d0557a808c6c9645301117f0469
--- /dev/null
+++ b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/_tabsyn_train.py
@@ -0,0 +1,63 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-SpecializedModels/c19/tabsyn/tabsyn-c19-20260426_203054"
+dataname = "tabsyn_c19"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+old = os.environ.get("PYTHONPATH", "")
+os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "")
+sys.path.insert(0, tabsyn_root)
+
+os.chdir(tabsyn_root)
+
+# Symlink data dir into TabSyn data/
+data_link = os.path.join(tabsyn_root, "data", dataname)
+data_src = os.path.join(work_dir, "data", dataname)
+os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True)
+if os.path.exists(data_link):
+    os.remove(data_link)
+os.symlink(data_src, data_link)
+
+env = os.environ.copy()
+env.setdefault("TABSYN_RESUME", "1")
+env.setdefault("TABSYN_VAE_BATCH_SIZE", "1024")
+_te = 1000
+if _te is not None:
+    env["TABSYN_VAE_EPOCHS"] = str(_te)
+    env["TABSYN_DIFFUSION_MAX_EPOCHS"] = str(max(_te + 1, 2))
+
+# Data preprocessing is done on the host side (_prepare_data_dir)
+# which creates .npy files, train/test CSVs, and info.json
+
+# Step 1: Train VAE (produces latent embeddings)
+print(f"[TabSyn] Step 1/2: Training VAE in {tabsyn_root}, dataname={dataname}")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "train",
+     "--method", "vae",
+     "--gpu", "0"],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    print("[TabSyn] VAE training failed")
+    sys.exit(ret.returncode)
+
+# Step 2: Train diffusion model on latent space
+print(f"[TabSyn] Step 2/2: Training diffusion model")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "train",
+     "--method", "tabsyn",
+     "--gpu", "0"],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    print("[TabSyn] Diffusion training failed")
+    sys.exit(ret.returncode)
+print("[TabSyn] Training complete (VAE + Diffusion)")
diff --git a/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/X_cat_test.npy b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/X_cat_test.npy
new file mode 100644
index 0000000000000000000000000000000000000000..bd8bc24b045e16c9286c281721a3226c51475cd3
--- /dev/null
+++ b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/X_cat_test.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9299c91980c0b2d01504ae87651c1a53c8729b9786207ed0af1ff72d619086a3
+size 2620848
diff --git a/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/X_cat_train.npy b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/X_cat_train.npy
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--- /dev/null
+++ b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/X_cat_train.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/X_num_test.npy b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/X_num_test.npy
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+++ b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/X_num_test.npy
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+++ b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/data/tabsyn_c19/info.json
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diff --git a/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/tabsyn-c19-32759-20260426_205855.csv b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/tabsyn-c19-32759-20260426_205855.csv
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diff --git a/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/train_20260426_203100.log b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/train_20260426_203100.log
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--- /dev/null
+++ b/SynthData0523/main/c19/tabsyn/tabsyn-c19-20260426_203054/train_20260426_203100.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/_tvae_generate.py b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/_tvae_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..bb1b4c3550c7076a36f23bbb5a39f662bf561a36
--- /dev/null
+++ b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/_tvae_generate.py
@@ -0,0 +1,18 @@
+import sys
+sys.path.insert(0, "/work")
+from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix
+apply_ctgan_inverse_fix()
+import pandas as pd
+from ctgan.synthesizers.tvae import TVAE
+model = TVAE.load("/work/output-SpecializedModels/c19/tvae/tvae-c19-20260328_052612/models_300epochs/tvae_300epochs.pt")
+total = 32759
+chunk = min(50000, total) if total > 50000 else total
+parts = []
+left = total
+while left > 0:
+    take = min(chunk, left)
+    parts.append(model.sample(take))
+    left -= take
+samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0]
+samples.to_csv("/work/output-SpecializedModels/c19/tvae/tvae-c19-20260328_052612/tvae-c19-32759-20260420_023428.csv", index=False)
+print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-SpecializedModels/c19/tvae/tvae-c19-20260328_052612/tvae-c19-32759-20260420_023428.csv")
diff --git a/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/_tvae_train.py b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/_tvae_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..65483f9b8528d0113f0d999370d911ecbb2e9184
--- /dev/null
+++ b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/_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/c19/tvae/tvae-c19-20260328_052612/staged/public/train.csv"
+meta_path = "/work/output-SpecializedModels/c19/tvae/tvae-c19-20260328_052612/tvae_metadata.json"
+save_path = "/work/output-SpecializedModels/c19/tvae/tvae-c19-20260328_052612/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/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/gen_20260328_093135.log b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/gen_20260328_093135.log
new file mode 100644
index 0000000000000000000000000000000000000000..7d0610370c1b166505fb5e9f7a54a23de69376a7
--- /dev/null
+++ b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/gen_20260328_093135.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ff36c747b5025b96d6816c5ad7a78c71962c37b54a260def8c6ef022f2ad308
+size 129
diff --git a/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/gen_20260419_072541.log b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/gen_20260419_072541.log
new file mode 100644
index 0000000000000000000000000000000000000000..693f0db7dd24f6f362b96654f1b79f769436befb
--- /dev/null
+++ b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/gen_20260419_072541.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 533
diff --git a/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/gen_20260420_023428.log b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/gen_20260420_023428.log
new file mode 100644
index 0000000000000000000000000000000000000000..68e087746180ac8583660b621a73f1c94297570e
--- /dev/null
+++ b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/gen_20260420_023428.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 544
diff --git a/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/input_snapshot.json b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..ebb71e88e651105350b646bd5c372df930044390
--- /dev/null
+++ b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/input_snapshot.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 1362
diff --git a/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/models_300epochs/train_20260328_052625.log b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/models_300epochs/train_20260328_052625.log
new file mode 100644
index 0000000000000000000000000000000000000000..b6542e35974c89edb256d6048be98e02e04637f4
--- /dev/null
+++ b/SynthData0523/main/c19/tvae/tvae-c19-20260328_052612/models_300epochs/train_20260328_052625.log
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 173