加入实验输出（批次 2/14）

deep_learning/Q1/outputs/alignment_debug/synthetic/metrics.csv

@@ -0,0 +1,9 @@
+method,variant,modality,normalized_entropy,trajectory_span,mean_absolute_time_center_error,gaussian_target_kl
+M3,M3,audio,0.8146468997001648,0.8359371423721313,0.013887446373701096,9.780584514373913e-05
+M3,M3,vision,0.7763938903808594,0.8398178815841675,0.01340858917683363,0.00010334514081478119
+M4,M4_noPE,text,0.7359679937362671,0.8448824286460876,0.012279374524950981,3.1862964533502236e-05
+M4,M4_noPE,audio,0.8146815299987793,0.8352469801902771,0.013536815531551838,3.071938408538699e-05
+M4,M4_noPE,vision,0.7764220833778381,0.8389295339584351,0.01305430568754673,2.4961129383882508e-05
+M4,M4_sinPE,text,0.7359594702720642,0.8448947072029114,0.012278751470148563,3.472105890978128e-05
+M4,M4_sinPE,audio,0.8146712183952332,0.8352407217025757,0.01353506837040186,2.7729740395443514e-05
+M4,M4_sinPE,vision,0.776414155960083,0.8389100432395935,0.013054125010967255,2.3926369976834394e-05

deep_learning/Q1/outputs/alignment_debug/synthetic/run_manifest.json

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+{
+  "created_utc": "2026-09-23T10:41:39.752010+00:00",
+  "purpose": "Check whether the existing M3/M4 attention implementation can fit a time band when all inputs encode only synthetic time.",
+  "sample_count": 1,
+  "synthetic_only": true,
+  "seed": 42,
+  "device": "cuda",
+  "gpu_name": "NVIDIA GeForce RTX 5070 Ti",
+  "python": "3.14.7",
+  "torch": "2.14.0+cu130",
+  "grid_size": 50,
+  "sigma_normalized_time": 0.1,
+  "feature_rule": "[t, t^2, 1] per source position; no extracted text/audio/video content is used",
+  "sequence_lengths": {
+    "text": 50,
+    "audio": 256,
+    "vision": 100
+  },
+  "optimizer": "AdamW",
+  "learning_rate": 0.001,
+  "steps_per_variant": 1000,
+  "variants": [
+    {
+      "method": "M3",
+      "variant": "M3",
+      "checkpoint": "/home/gloamxun/modeling_zhaocui/Q1/outputs/alignment_debug/synthetic/M3_checkpoint.pt",
+      "final_loss": 0.0001006170641630888
+    },
+    {
+      "method": "M4",
+      "variant": "M4_noPE",
+      "checkpoint": "/home/gloamxun/modeling_zhaocui/Q1/outputs/alignment_debug/synthetic/M4_noPE_checkpoint.pt",
+      "final_loss": 2.9354681828408502e-05
+    },
+    {
+      "method": "M4",
+      "variant": "M4_sinPE",
+      "checkpoint": "/home/gloamxun/modeling_zhaocui/Q1/outputs/alignment_debug/synthetic/M4_sinPE_checkpoint.pt",
+      "final_loss": 2.8951730200788006e-05
+    }
+  ],
+  "interpretation_limits": [
+    "This is an implementation/optimization control only; it does not evaluate real features or alignment accuracy.",
+    "The time-only features deliberately provide source-position information that the real feature inputs may not contain."
+  ]
+}