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config.json

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+{
+  "model_type": "horizon_causal_dit",
+  "version": "1.0.0",
+  "architecture": {
+    "type": "ConditionalDiT1D",
+    "d_model": 768,
+    "n_blocks": 16,
+    "n_heads": 12,
+    "d_in": 5,
+    "T": 63,
+    "dropout": 0.0,
+    "mlp_ratio": 4.0,
+    "d_c_vec_raw": 17,
+    "n_event_types": 8,
+    "L_max": 8,
+    "d_nl": 384,
+    "nl_bottleneck_dim": 256,
+    "n_nl_tokens": 4,
+    "total_params": 172376579
+  },
+  "training": {
+    "steps": 200000,
+    "batch_size": 128,
+    "grad_accumulation": 2,
+    "effective_batch": 256,
+    "learning_rate": 3e-4,
+    "warmup_steps": 5000,
+    "optimizer": "AdamW",
+    "weight_decay": 0.01,
+    "precision": "bf16",
+    "sigma_data": 0.9904,
+    "final_loss": 0.06
+  },
+  "data": {
+    "n_symbols": 50,
+    "n_headlines": 1054286,
+    "n_macro_series": 48,
+    "n_training_windows": 317650,
+    "window_size": 63,
+    "date_range": "2000-01-04 to 2026-05-04"
+  },
+  "causal": {
+    "graph_nodes": 14,
+    "graph_edges": 18,
+    "guidance_scale_default": 2.0,
+    "inversion_steps": 100,
+    "sampling_steps": 15,
+    "sigma_max": 2.0,
+    "calibrated": true
+  },
+  "benchmark": {
+    "world_properties": "5/5 PASS",
+    "causal_validity": "3/3 PASS",
+    "natural_experiments": "42/42 RBI events direction match",
+    "calibration_error_rate_cut": "2.4%",
+    "counterfactual_coherence": 0.975,
+    "pearl_level": 3
+  }
+}