Model card
astris-extraction-self-improving-v1
Self-improving document extraction: density-based routing (M3.1) chooses the parse path, field-level calibration (M3.2) tracks per-field reliability, and a correction-retrieval store (M3.3) injects past human corrections as few-shot guidance into the next parse.
At a glance
| Kind | reasoning llm |
| Version | 1.0.0 |
| Status | Active — contributing to scores |
| Ensemble weight | 0 |
| Trained at | Not trained yet |
| Trained on | n/a |
| Artifact | No artifact (heuristic or pre-training) |
Metrics
{
"components": [
"density_routing_m3_1",
"field_calibration_m3_2",
"correction_retrieval_m3_3"
],
"validation": "synthetic_seed",
"real_cohort": "pending"
}Notes
Extraction pipeline, not a retention voter — weight 0. Improves as parse corrections arrive via the feedback loop. See api/ml/extraction_service.py, field_calibration.py, correction_retrieval.py.