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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/reconstruction_metrics_with_fixed.csv b/deep_learning/Q1/outputs/alignment_v2/v2_a/reconstruction_metrics_with_fixed.csv
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/reconstruction_summary.csv b/deep_learning/Q1/outputs/alignment_v2/v2_a/reconstruction_summary.csv
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index 0000000..fc7590a
--- /dev/null
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/retrieval_metrics_learned_only.csv b/deep_learning/Q1/outputs/alignment_v2/v2_a/retrieval_metrics_learned_only.csv
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index 0000000..318b760
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/retrieval_metrics_with_fixed.csv b/deep_learning/Q1/outputs/alignment_v2/v2_a/retrieval_metrics_with_fixed.csv
new file mode 100644
index 0000000..75db469
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_a/retrieval_metrics_with_fixed.csv
@@ -0,0 +1,241 @@
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/retrieval_summary.csv b/deep_learning/Q1/outputs/alignment_v2/v2_a/retrieval_summary.csv
new file mode 100644
index 0000000..26c4a09
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_a/retrieval_summary.csv
@@ -0,0 +1,25 @@
+method,direction,n,r_at_1_mean,r_at_1_std,r_at_3_mean,r_at_3_std,mase_slots_mean,mase_slots_std,exact_r_at_1_mean,exact_r_at_1_std
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/run_manifest.json b/deep_learning/Q1/outputs/alignment_v2/v2_a/run_manifest.json
new file mode 100644
index 0000000..8a37303
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_a/run_manifest.json
@@ -0,0 +1,38 @@
+{
+  "variant": "v2_a",
+  "loss_coefficients": {
+    "lambda_reconstruction": 1.0,
+    "lambda_contrastive": 1.0,
+    "lambda_monotonicity": 0.1,
+    "lambda_span": 5.0,
+    "lambda_diversity": 0.0,
+    "lambda_band": 0.0,
+    "coverage_floor": 0.7,
+    "diversity_slot_separation": 6,
+    "band_margin": 0.1
+  },
+  "sample_count": 100,
+  "video_group_folds": 5,
+  "seeds": [
+    42,
+    3407,
+    2026
+  ],
+  "device": "cuda",
+  "gpu_name": "NVIDIA GeForce RTX 5070 Ti",
+  "python": "3.14.7",
+  "torch": "2.14.0+cu130",
+  "elapsed_seconds": 334.72593688964844,
+  "probes": {
+    "within_clip_retrieval_tolerance_slots": 1,
+    "retrieval_top_k": 3,
+    "shuffled_reconstruction_repeats": 5,
+    "masked_block_ratio": 0.2
+  },
+  "limits": [
+    "Retrieval projections are fitted on training-fold grid-slot positives; test candidates are restricted to the same held-out clip.",
+    "The reconstruction control shuffles the two non-target modality slot streams and preserves the target stream.",
+    "No human event timestamps are available, so temporal probes do not replace manual annotation.",
+    "Slot-regularization losses impose weak temporal structure and must be interpreted alongside the unregularized M1/M2 reference."
+  ]
+}
\ No newline at end of file
diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/splits.json b/deep_learning/Q1/outputs/alignment_v2/v2_a/splits.json
new file mode 100644
index 0000000..7d536ee
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_a/splits.json
@@ -0,0 +1,742 @@
+[
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+      "-I_e4mIh0yE",
+      "-UUCSKoHeMA",
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+      "-3nNcZdcdvU",
+      "-MeTTeMJBNc",
+      "-NFrJFQijFE",
+      "-a55Q6RWvTA",
+      "-dxfTGcXJoc",
+      "-mJ2ud6oKI8",
+      "-tANM6ETl_M",
+      "-yRb-Jum7EQ"
+    ]
+  }
+]
\ No newline at end of file
diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/summary.json b/deep_learning/Q1/outputs/alignment_v2/v2_a/summary.json
new file mode 100644
index 0000000..eecaa98
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_a/summary.json
@@ -0,0 +1,680 @@
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+}
\ No newline at end of file
diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/training_history.csv b/deep_learning/Q1/outputs/alignment_v2/v2_a/training_history.csv
new file mode 100644
index 0000000..caa96d4
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_a/training_history.csv
@@ -0,0 +1,794 @@
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/training_summary.csv b/deep_learning/Q1/outputs/alignment_v2/v2_a/training_summary.csv
new file mode 100644
index 0000000..1affd81
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_a/training_summary.csv
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/typical_alignment_heatmaps.png b/deep_learning/Q1/outputs/alignment_v2/v2_a/typical_alignment_heatmaps.png
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_a/typical_alignment_trajectories.png b/deep_learning/Q1/outputs/alignment_v2/v2_a/typical_alignment_trajectories.png
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_b/README.md b/deep_learning/Q1/outputs/alignment_v2/v2_b/README.md
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index 0000000..28a99ef
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_b/README.md
@@ -0,0 +1,3 @@
+# v2_b M3/M4 alignment variant
+
+M1/M2 rows in the comparison files are fixed references recomputed on the original grouped folds. Only M3/M4 training losses changed. See `training_history.csv` for per-epoch loss components and row-collapse scores. `retrieval_metrics_learned_only.csv` restricts candidates to the same clip. `reconstruction_metrics_learned_only.csv` contrasts aligned and shuffled non-target streams. The experiment does not include RoPE, Gaussian bias, or latent-length changes.
diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_b/alignment_metrics_learned_only.csv b/deep_learning/Q1/outputs/alignment_v2/v2_b/alignment_metrics_learned_only.csv
new file mode 100644
index 0000000..ad6c566
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_b/alignment_metrics_learned_only.csv
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diff --git a/deep_learning/Q1/outputs/alignment_v2/v2_b/alignment_metrics_with_fixed.csv b/deep_learning/Q1/outputs/alignment_v2/v2_b/alignment_metrics_with_fixed.csv
new file mode 100644
index 0000000..6ede071
--- /dev/null
+++ b/deep_learning/Q1/outputs/alignment_v2/v2_b/alignment_metrics_with_fixed.csv
@@ -0,0 +1,2401 @@
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