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+# Synthetic RAG Benchmark Report
+
+- Generated at: `2026-03-06T15:45:57.457782+00:00`
+- Seed: `1337`
+- Corpus docs: `1500`
+- Queries: `300`
+- Auto-tune: `True`
+- Retrieval config: `{'step_k_ratio': 0.06, 'min_step_k': 20, 'min_match_ratio': 0.7, 'final_match_ratio': 0.65, 'noise_weight': 0.01, 'ensemble_top_k': 2, 'ensemble_vote_threshold': 0.4}`
+
+## Aggregate Metrics
+
+| Method | Avg Precision | Avg Recall | Avg F1 | Exact Match Rate |
+|---|---:|---:|---:|---:|
+| naive | 0.5161 | 0.6567 | 0.4254 | 0.1167 |
+| instructed | 1.0000 | 0.3849 | 0.4627 | 0.2333 |
+| verified_structural | 1.0000 | 0.3849 | 0.4627 | 0.2333 |
+| verified_structural_ensemble | 1.0000 | 0.4590 | 0.5268 | 0.3333 |
+| verified_consensus | 1.0000 | 0.4372 | 0.5026 | 0.3167 |
+
+## Notes
+
+- `naive`: single partition `[n]`.
+- `instructed`: heuristic partition `[n-1, 1]` for `n > 1`.
+- `verified_structural`: non-oracle structural scorer (balance + step penalty + chunking heuristics).
+- `verified_structural_ensemble`: non-oracle vote across top structural partitions.
+- `verified_consensus`: non-oracle self-consistency scorer (retrieval stability + structure + match density).
+
+No theorem discharge is claimed by this benchmark.