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Jyotisha/docs/research/interpretation_source_full_classification_2026_07_02.md
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2026-07-02 14:28:29 +08:00

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Interpretation Source Full Classification - 2026-07-02

This report is generated from scripts/interpretation_source_inventory_gate.py. It classifies local interpretation/rule/case/template/evidence candidates without promoting drafts into runtime truth.

Summary

Metric Count
Runtime source refs already wired 22
Indexed-only refs 3
Full candidate pool 948
Unclassified candidates 0
Priority 1 candidates 264
Priority 2 candidates 101
Priority 3 candidates 558

Classification Counts

Classification Count
runtime_reference_layer 22
indexed_reference_layer 3
reference_candidate 171
real_case_calibration 5
open_source_reference 102
oracle_artifact 50
benchmark_evidence 33
template_asset 4
frontend_surface 31
research_governance 412
quarantined_draft 87
project_governance 28

Promotion Status Counts

Promotion Status Count
already_wired 22
indexed 3
reference_layer_candidate 278
real/source evidence only buckets combined 83
governance_or_history 440
not_truth_source 87
product_surface 31
template_reference 4

Priority Policy

  • priority_1: review first. This includes references/, real_case_studies/, rishi-ai-mcp, and vedic-astro-skills.
  • priority_2: validation/template/oracle evidence. These can support boundaries and tests but are not direct interpretive truth.
  • priority_3: research history, frontend surfaces, project governance, and quarantined drafts. These are indexed so they are not forgotten, but they must not be silently promoted.
  • runtime: already wired or indexed by the active source pack.

Boundary

This is a classification map, not a promotion decision. A file classified as reference_layer_candidate still needs source review, license review when applicable, and focused tests before it can become a runtime source.