Jyotisha/docs/research/tajika_annual_closure_status_latest.md

Tajika/Sahams Annual Closure Status

• annual_task_count: 5
• external_verified_annual_tasks: 5
• can_claim_tajika_sahams_closure: true
• production_tuning_allowed: false

First Priority Packet

• case_id: template_einstein_varshaphala_1905_lahiri
• capture_id: external_template_einstein_varshaphala_1905_lahiri
• packet_path: references/oracle/artifacts/pending_packets/external_template_einstein_varshaphala_1905_lahiri.json
• required_target_fields: target.solar_return_datetime, target.varsha_lagna_deg, target.muntha_sign, target.year_lord, target.mudda_dasha_first_lord, target.sahams.punya_saham, target.sahams.rajya_saham, target.sahams.vivah_saham, target.tajika_yogas, target.source_artifact

Missing Summary

• metadata: 0
• target: 0

Prefilled Fields

• status: external_verified

• promotion_status_after_fill: external_verified

• metadata:

  • tool_name: PyJHora
  • tool_version_or_url: PyJHora 4.8.6 isolated workbuddy black-box run
  • capture_date: 2026-06-29
  • source_artifact: references/oracle/artifacts/pyjhora_einstein_varshaphala_1905_lahiri_partial_20260629.txt
  • ayanamsa: lahiri
  • node_mode: mean
  • timezone: UTC+00:53
  • annual_system: Varshaphala/Tajika
  • target_year: 1905
  • operator_note: Black-box annual output from workbuddy PyJHora 4.8.6 environment. External evidence only; local annual engine output was not used. Solar-return timestamp, Varsha Lagna, Muntha, Year Lord, first Mudda Dasha lord, selected Sahams, and Tajika Yogas were captured through the external PyJHora path via the annual chart and jhora.horoscope.transit.tajaka_yoga helper chain.

• settings:

  • ayanamsa: lahiri
  • node_mode: mean
  • annual_system: varshaphala
  • target_year: 1905

Manual Fill Plan

• status_value: external_verified
• manual_entry_count: 0

Missing Fields

Commands

python3 scripts/tajika_annual_oracle_queue.py --oracle-file references/oracle/tajika_annual_oracle_cases.json --apply-packet references/oracle/artifacts/pending_packets/external_template_einstein_varshaphala_1905_lahiri.json --format json

python3 scripts/tajika_annual_oracle_queue.py --oracle-file references/oracle/tajika_annual_oracle_cases.json --format json && python3 scripts/tajika_annual_benchmark_dashboard.py --oracle-file references/oracle/tajika_annual_oracle_cases.json --format json

Next Actions

• Keep the current annual packet set in active_target_set_closed status and avoid overstating it as full predictive closure.
• Use this board as a reference packet only; the remaining work is second-wave sample breadth, day/night reversal edges and deeper judgment templates.
• Regenerate the annual queue and benchmark dashboard after new external rows or broader tolerance checks are added.
• Do not treat local scripts/varshaphala.py output as oracle evidence even though the present packet set is closed.

Boundary

This board isolates Tajika/Sahams annual closure. Local scripts/varshaphala.py output is not an external oracle and must not be used as production tuning evidence.