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feat: Add OneChart score reconstruction research files and validation results

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- Introduced new JSON files for normalized and raw inputs, source metadata, and public inputs.
- Added findings document detailing the methodology and results of the score reconstruction.
- Included member differences and worked examples for clarity on data discrepancies.
- Implemented a Python script for reproducing scores based on public inputs.
- Created SQL for raw reaggregation of data.
- Added task metadata for tracking the research completion and validation metrics.
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yuxuanhui
2026-09-25 23:43:53 +08:00
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commit fad932b0de
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.trellis/tasks/archive/2026-09/09-21-onechart-score-reconstruction/check.jsonl
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{"_example": "Fill with {\"file\": \"<path>\", \"reason\": \"<why>\"}. Put spec/research files only — no code paths. Run `python3 .trellis/scripts/get_context.py --mode packages` to list available specs. Delete this line once real entries are added."}