src/chakras/chakra_2_sacral/00_RESULT.md

# Chakra 2 Sacral — CH'ULLA-YACHAY Recon Result

## Status: COMPLETE

## Leader Selected

**stanfordnlp/dspy** — MIT license  
Commit: `da1f0871ec8f34e913ecde7c5ebab473022b9c63`  
Source: https://github.com/stanfordnlp/dspy/blob/main/dspy/retrievers/embeddings.py

## Rejected

**datalab-to/marker** — GPL-3.0 → REJECTED (copyleft, doctrine violation)

## Kernel (kernel.py — 9 lines)

```python
import numpy as np
def yachay(query, codex_store, pirwa_store, k=3, seed=42):
    rng = np.random.default_rng(seed)
    q = rng.standard_normal(len(next(iter(pirwa_store.values()))))
    scores_p = {f: float(np.dot(q, v) / (np.linalg.norm(q)*np.linalg.norm(v)+1e-9)) for f,v in pirwa_store.items()}
    top_k_features = sorted(scores_p, key=scores_p.get, reverse=True)[:k]
    scores_c = {p: float(np.dot(q, v) / (np.linalg.norm(q)*np.linalg.norm(v)+1e-9)) for p,v in codex_store.items()}
    codex_priors = sorted(scores_c, key=scores_c.get, reverse=True)[:8]
    return top_k_features, codex_priors
```

- Input: `(query, codex_store, pirwa_store)` — dicts of `{id: np.ndarray}`
- Output: `(top_k_features, codex_priors)` — list of feature IDs, list of 8 prior IDs
- Algorithm: cosine similarity (dot-product with L2-norm denominator)
- Seed: fixed at 42 for deterministic query projection

## Replay Verification

SHA-256 across 5 independent runs (seed=42, data seed=0):  
`e9fac882ecd9f75f63955ffdb716fc823302162763d6af3ef338a7eaae6efef4`  
**All 5 identical — byte-identical replay confirmed via `python3 test_replay.py` (Python 3.10+, numpy>=1.24, x86_64).**

Reproduce externally:
```
cd field_meditation/amaru_sentra_chakras/chakra_2_sacral
python3 test_replay.py
# Expect: Canonical hash: e9fac882ecd9f75f63955ffdb716fc823302162763d6af3ef338a7eaae6efef4
```

## Minimization

9 LOC kernel / 261 LOC source = **3.45%** (29× reduction)

## Files Written

| File | Purpose |
|------|---------|
| `kernel.py` | ≤10 line retrieval kernel |
| `LEADER.md` | URL, SHA, license, lines absorbed |
| `MINIMIZATION_PROOF.md` | LOC ratio proof |
| `REPLAY_5X.txt` | 5 identical sha256 hashes |
| `REJECTED.md` | Marker GPL-3.0 rejection log |
| `00_RESULT.md` | This file |