Add Matilda Decision v1 (0.3 public run)

runs/matilda-decision-v1/RUN_NOTES.md

@@ -0,0 +1,21 @@
+# Matilda Decision v1: Decision Index 0.3 public suite
+
+- **Model:** [Maincode/matilda-decision-v1](https://huggingface.co/Maincode/matilda-decision-v1) @ `TBD`. The run
+  loaded the release package itself: the same files that were uploaded, with all 11 shards and
+  `readout.safetensors` checked by sha256 against the trained checkpoint.
+- **Kit:** apolinario/decision-index `62d2f51` (edition 0.3).
+- **Engine:** `matilda_decision_engine:MatildaDecisionEngine`, the engine shipped at the root of the model repo
+  (`PYTHONPATH=.`, `--option checkpoint=.`). Inference settings:
+  - bf16 backbone and fp32 readout;
+  - bidirectional attention over the prompt;
+  - one forward pass per question batch, at the stored temperature (1.0);
+  - no thinking.
+- **Result:** `scores.json` is complete. Public index 65.38 (raw 73.98, breadth 64.31); 140,178 of 140,178 scored
+  requests answered, all ok. Re-scoring `results.jsonl.gz` from scratch with the kit gives the same `scores.json`.
+- **Latency:** median 55 ms, mean 124 ms, p80 117 ms, p95 411 ms per request (1 × AMD MI355X per shard,
+  in-process).
+
+## How the run was made
+
+One fresh run, no resume, nothing removed. It used 24 shards on 4 nodes of AMD MI355X, one GPU per shard, over the
+140,178 requests of the 0.3 edition.

runs/matilda-decision-v1/benchmark-summary.json

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+}

runs/matilda-decision-v1/environment.json

@@ -0,0 +1,628 @@
+{
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runs/matilda-decision-v1/index.json

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+}

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+}

runs/matilda-decision-v1/status.json

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