docs: label all performance claims as MEASURED vs PROJECTED (NO FAKE CODE compliance)

Fixed 10 evidence violations across 5 files per NO FAKE CODE policy:
- All billion-scale claims now labeled as PROJECTED (not yet benchmarked)
- Distinguishes calculated projections from empirical measurements
- Maintains architectural honesty about what's tested vs theoretical

Files updated:
- src/hnsw/typeAwareHNSWIndex.ts (2 claims)
- src/utils/metadataIndex.ts (1 claim)
- src/query/typeAwareQueryPlanner.ts (1 claim)
- docs/architecture/finite-type-system.md (2 claims)
- CHANGELOG.md (4 claims)

Changes:
- 87% HNSW memory reduction → PROJECTED (calculated from architecture)
- 86% metadata memory reduction → PROJECTED (calculated from chunking)
- 385x type tracking reduction → PROJECTED (calculated from Uint32Array)
- 40% query latency reduction → PROJECTED (calculated from graph reduction)

All claims remain architecturally sound but are now honestly labeled.
Future TIER 4 work will add benchmarks to upgrade PROJECTED → MEASURED.

Audit document: .strategy/EVIDENCE_VIOLATIONS_AUDIT.md

src/query/typeAwareQueryPlanner.ts

@@ -5,14 +5,14 @@
  * natural language queries using semantic similarity and routing to specific
  * TypeAwareHNSWIndex graphs.
  *
- * Performance Impact:
+ * Performance Impact (PROJECTED - not yet benchmarked):
  * - Single-type queries: 42x speedup (search 1/42 graphs)
  * - Multi-type queries: 8-21x speedup (search 2-5/42 graphs)
- * - Overall: 40% latency reduction @ 1B scale
+ * - Overall: PROJECTED 40% latency reduction @ 1B scale (calculated from graph reduction, not measured)
  *
  * Examples:
- * - "Find engineers" → single-type → [Person] → 42x speedup
- * - "People at Tesla" → multi-type → [Person, Organization] → 21x speedup
+ * - "Find engineers" → single-type → [Person] → PROJECTED 42x speedup
+ * - "People at Tesla" → multi-type → [Person, Organization] → PROJECTED 21x speedup
  * - "Everything about AI" → all-types → [all 42 types] → no speedup
  */