# Extraction Quality Audit

## 1. Status

```text
status: passed
audit_type: material extraction quality
material_units_total: 29
topic_docs_with_extraction: 5
root_doc_updated: pending_if_downstream_requires
```

## 2. Checks

| check | result | note |
| --- | --- | --- |
| Step 0 confirmed before extraction | passed | `human-confirmation.md` recorded |
| Material units preserve source block IDs | passed | each unit lists `source_blocks` |
| No flat topic regression | passed | extraction follows A/B/C/D/E graph |
| QPI relation preserved | passed | QPI kept as GL3 problem-representation tool |
| Giant Ark relation preserved | passed | formal model replacing Giant Cognition 2.0 |
| Reality Lab relation preserved | passed | action module inside intention-action-feedback |
| Family Triangle relation preserved | passed | independent model and scenario model called by Giant Ark |
| Adolescent weighting caveat preserved | passed | simplifying assumption only |

## 3. Coverage By Layer

```text
A: extracted
B: extracted
C: extracted
D: extracted
E: extracted
ROOT: overview only; downstream tracks should read _material-extraction-index.md
```

## 4. Residual Risk

```text
residual_risk: medium
reason: extraction is paraphrased material-unit level, not quote-level evidence extraction
```

If the next task is publication, formal model-card writing, or audit-grade evidence review, create a quote-level evidence pack from the original source before final claims.