# SIRA Self-Learning RAG, 1,000-Episode Meta ARE Matrix & Partner Compute Cascade Records (Oct 31, 2026)

All evaluations below were executed offline (`mode: local_verified`) using deterministic standard-library harnesses over the 79-pack Seed-Pack Library (`1,510` Task Objects, `487` Task templates). Zero remote partner API spend was incurred (`MODAL_TOKEN_ID`, `BASETEN_API_KEY`, and `FIREWORKS_API_KEY` remain unset until activated), and nothing here is presented as a deployed runtime service or proven general-purpose model gain.

## Artifacts & SHA-256 Digests

| File | Bytes | SHA-256 | Summary |
| --- | ---: | --- | --- |
| [sira_rag_benchmark.json](sira_rag_benchmark.json) | 53714 | `769795c74e362a6d3df03bc77044d96b32d182c3ba7ea1f57302e203d109dc03` | SIRA Self-Learning Agentic RAG + RARTF + MR-Search + <2 ms Herma Shim Compilation across 79 Seed Packs (Recall@1 23.3% -> 100.0%, MRR 0.341 -> 1.000, 82.8% token reduction, 0.30 ms retrieval, 10 compiled shims at 0.026 ms, 10/10 DGM-H independent verification) |
| [scenario_matrix_1000_digest.json](scenario_matrix_1000_digest.json) | 46453 | `cf56061cda2f2d868e8abb5f93e59a2b79e59aa113071768ddf39054c780cd8e` | Meta ARE / Gaia2 1,000-Episode 4D Scenario Matrix (25 domains, 10^12 addressable tuples, 151 direct + 524 partitioned = 67.5% approved, 32.5% stakeholder-blocked, top 24 digested Tasks and Task Objects) |
| [partner_compute_cascade.json](partner_compute_cascade.json) | 7270 | `f1481c88de6235848e52a4a253bd6eec707cd4d4387fc1c1338db08df823d93e` | Event Partner Compute Cascade (Modal $100 QLoRA + isolated sandboxes, Baseten $100 + 2M TPM AsyncTokenBucket2M burst, Fireworks $100 + specialist multi-LoRA & rubric verification; 1,000-request 5-tier cascade $1.84 vs $9.50 = 80.7% cost reduction; mode: local_verified) |