chore(conductor): Replace monolithic curation with 5 granular tracks

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# Specification: Comprehensive Codebase Curation & Style Alignment (codebase_curation_20260507)
## Overview
Aggressive pruning, optimization, and standardization of the codebase. This track uses the findings from the Code Path Analysis and other Phase 5 audits to trim away non-essential logic, data, and processing while strictly enforcing the project's technical integrity standards.
## Foundational Context (MANDATORY REVIEW)
All curation efforts MUST be informed by the following Phase 5 analysis reports:
- `docs/PIPELINE_ANALYSIS_PHASE5_INIT.md`: Processing route and pipeline mapping.
- `docs/STATE_INVENTORY_PHASE5.md`: Core data structure and property inventory.
- `docs/MUTATION_MATRIX_PHASE5.md`: Thread-safe state modification and lock map.
- `docs/CULLING_CANDIDATES_PHASE5.md`: Identified redundant symbols, modules, and structures.
## Granular Care & Regression Guardrails
- **Surgical Execution:** Changes must be applied file-by-file with extreme granularity. No bulk culling without individual justification.
- **Regression Monitoring:** Continuous verification of behavioral integrity. Any unintended entropy or performance degradation must trigger an immediate halt and review.
- **Traceability:** Every removed line must be cross-referenced against the culling audit or pipeline map.
## Scope
- **Target Files:** All `.py` files in `./src` and `./simulation`.
- **Primary Goal:** Trimming the "slop" (redundancies, dead code, excessive complexity).
## Functional Requirements
1. **Redundancy Pruning:** Eliminate duplicate logic across different data pipelines.
2. **Dead Code Removal:** Strip out legacy "just-in-case" code and unused processing paths.
3. **Strict Style Enforcement:**
- Universal 1-space indentation.
- CRLF line endings.
- Standardized type hinting.
4. **Guideline Alignment:** Refactor any code that deviates from `product-guidelines.md` (e.g., ensuring explicit composition over complex inheritance).
5. **Validation:** Ensure no loss of functionality or performance degradation.
## Acceptance Criteria
- [ ] Significant reduction in total codebase line count (where applicable).
- [ ] 100% pass on style audit (`scripts/ai_style_formatter.py`).
- [ ] All remaining code is mapped to a necessary functional requirement or performance goal.