Add architecture review findings and address documentation issues

Review of all ADR documents (001-007) and peripheral architecture docs
identified 3 critical, 10 warning, and 7 suggestion issues.

Addressed in this commit:
- W-1: Add draft qualifier to ADR-002 reference to incremental exploration
- W-2: Add Alternatives Considered section to ADR-001
- W-3: Add Document Lifecycle section to README.md (draft/stable/deprecated)
- W-4: Clarify includeCompleted semantics (only 'completed' status triggers exclusion)
- W-5: Document file I/O runtime constraints in frontmatter.md
- W-6: Add ADR reference to architecture.md redirect
- W-7: Verify CVE-2025-64718 (confirmed real, improved description)
- W-9: Convert workspace-absolute paths to relative/monorepo references
- S-7: Add future ADR-008 note to incremental-update-exploration.md

Critical issues (C-1, C-2, C-3) and remaining warnings (W-8, W-10, S-4, S-5)
were addressed by a parallel agent in a prior commit.

All 16 review tasks created and resolved.

docs/architecture/decisions/002-rebuild-vs-incremental.md

@@ -25,4 +25,4 @@ When task data changes (file edits, DB updates), the in-memory graph needs to re
 
 If a future use case requires incremental updates, add it as an optimization then. The API surface (construction methods) supports both patterns — incremental construction exists via `addTask`/`addDependency`.
 
-An incremental update architecture has been explored in [incremental-update-exploration.md](../incremental-update-exploration.md). The key finding is that **the win is reactivity (fine-grained event notifications), not performance**. For <200 node graphs, rebuild is always sub-millisecond. If a consumer needs reactive updates, they can use graphology's event system directly via `graph.raw` and implement change detection at the consumer layer, without the library taking on the complexity of diff-based updates.
+An incremental update architecture has been explored (draft, not yet a decision) in [incremental-update-exploration.md](../incremental-update-exploration.md). The key finding is that **the win is reactivity (fine-grained event notifications), not performance**. For <200 node graphs, rebuild is always sub-millisecond. If a consumer needs reactive updates, they can use graphology's event system directly via `graph.raw` and implement change detection at the consumer layer, without the library taking on the complexity of diff-based updates.