- add links to interactive HTML results for storage format evaluation and foreign-key architecture study
- update descriptions in README to reflect the new structure of research documents
- clarify the contents of the research directory in the README
- update README to clarify the exclusion of bulk artifacts from git
- specify committed curated results subset in README and rules
- improve descriptions of output directories and their contents
- refine details on the pipeline's data generation and reporting processes
- revise hardware prices and parameters in extrapolate.py
- enhance scoring details in README for task 11
- clarify projected scoreboard values and sources
- improve chart readability and scoring methodology in report.py
- add new utility functions for formatting and reading hardware prices
- ignore all output files except for reports and config directories
- add new .done files for tasks 01-11 to track completion status
- include new configuration files for hardware prices and lab setup
- generate process flow and report documents for tasks 02 and 11
- mark tasks 10 and 11 as implemented in the project overview
- add provenance note regarding the initial prompt in README.md
- clarify the relationship between the prompt and specifications in 00_PLAN.md
- update documentation structure to include Initial_Prompt.md for historical context
- add process_metrics function to record peak RSS and CPU time
- update JSON converter to include metrics in completion marker
- modify SQLite converter to utilize new metrics for performance tracking
- enhance storage size updates with locking mechanism for concurrent access
- tools: common/track_summary.py fixes the cross-engine steady-state algorithm
- rules: db-sql-schema records the FK enforcement decision and track_summary definition
- specs: 05 aligned with data-naming-units, simtra_profiles added
- docs: FK key-schema study added under docs/research/, README updated
- replace manual CSV reading with CorpusReader for better data handling
- streamline argument parsing and dependency checks using common pipeline functions
- enhance marker writing for task completion tracking
- remove unused regex and validation error classes for cleaner code
- mark task 04 as implemented in the project overview
- add convert_json.py as the entry script for task 04
- clarify output paths for JSON-LD conversion artifacts
- introduce reserve grid positions for QA witness pattern
- add batch codes to run entries in lab configuration
- update schedule with run start time and track interval
- enhance validation checks for run-batch mapping
