优化6个类，现在ks降低到0.28，史称3.0版本

docs/architecture.md

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+# Architecture Overview
+
+## System Diagram (text)
+```
+            +--------------------+
+            |  Program Generator |
+            | (Type 1 setpoints) |
+            +---------+----------+
+                      |
+                      v
+            +-----------------------+
+            | Controller / Actuator |
+            | (Type 2/3 modules)    |
+            +---------+-------------+
+                      |
+                      v
+        +----------------------------+
+        |  Diffusion (Residuals)     |
+        |  - Continuous PVs          |
+        |  - Discrete mask diffusion |
+        +---------+------------------+
+                  |
+                  v
+     +-----------------------------+
+     | Post-processing             |
+     | - Derived tags (Type 5)     |
+     | - KS-only resample baseline |
+     +-----------------------------+
+```
+
+## Core Components
+- **Stage‑1 Temporal GRU**: learns trend for continuous features.
+- **Diffusion Backbone**: Transformer (default) or GRU; predicts residuals + discrete logits.
+- **Post-hoc Calibration**: optional quantile calibration to align 1D CDFs.
+- **KS-only Baseline**: Type1/2/3/5/6 empirical resampling for rapid KS reduction (diagnostic; may hurt joint realism).
+
+## Feature-Type Split
+1) **Type 1**: Setpoints/demands → program generator  
+2) **Type 2**: Controller outputs → small emulator / conditional head  
+3) **Type 3**: Actuators/valves → spike‑and‑slab / dwell-time model  
+4) **Type 4**: Process PVs (multi‑modal/heavy tail) → diffusion with conditioning  
+5) **Type 5**: Derived tags → deterministic reconstruction (or empirical KS baseline)  
+6) **Type 6**: Auxiliary/vibration → narrow-band AR/SSM or empirical KS baseline
+
+## Data Flow
+- Input CSV → stats/vocab → normalized batches  
+- Trend GRU → residual diffusion → inverse transforms → export