Fix typo in super_registry and add system documentation

- Fixed function name typo in super_registry.py:303 (load_all_superchattracted → load_all_supercharged)
- Added SYSTEM_STATUS.md with complete feature list and test results
- Added ARCHITECTURE.md with detailed system design and component documentation
- All 28 tests passing (12 registry, 10 bridge, 6 integration suites)
- Full pipeline verified end-to-end

SYSTEM_STATUS.md

@@ -0,0 +1,122 @@
+# SuperDave GlyphRunner - System Status
+
+**Date**: 2026-05-20  
+**Status**: ✅ All Systems Operational
+
+## Completed Components
+
+### 1. LAIN Cognition Engine ✅
+- **File**: `gx_lain/lain_cognition.py`
+- **Features**:
+  - 8-lane symbolic cognition processor
+  - Lane processors for: structural_logic, semantic_flow, compression_residue, symbolic_metadata, execution_hints, predictive_scaffolding, contributor_imprint, epoch_resonance
+  - Fused symbol generation from lane results
+  - Comprehensive execution tracing
+
+### 2. Supercharged Glyph Registry ✅
+- **File**: `glyphs/super_registry.py`
+- **Data Source**: `/mnt/d/users/dave/Downloads/LEDONOVA/LedoGlyph600.json`
+- **Features**:
+  - 600 supercharged glyphs with 112 superpowers each
+  - Frequency signatures (praw: P, R, A, W)
+  - Contributor inheritance (lineage)
+  - Symbolic anatomy (originalMetrics)
+  - Activation envelopes and resonance profiles
+  - API: `get_super()`, `search_super()`, `list_super_ids()`, `list_super_by_category()`, `get_super_by_band()`, `get_glyphs_by_score_range()`
+  - Helper: `get_super_field()` with dot-notation support
+  - Stats: `super_stats()` for registry metadata
+
+### 3. LAIN ↔ Glyph Bridge ✅
+- **File**: `gx_lain/lain_glyph_bridge.py`
+- **Features**:
+  - `load_glyph_context()`: Load glyph metadata from registry
+  - `inject_glyph_metadata_into_lane()`: Add glyph fields to lane results
+  - `compute_glyph_resonance()`: Calculate 4-component resonance metrics
+  - `augment_fused_symbol_with_glyphs()`: Enhance fused symbol with glyph context
+  - Resonance formula: 40% activation + 30% frequency + 30% symbolic
+
+### 4. CLI Integration ✅
+- **File**: `gx_cli/`
+- **New Command**: `gx lain <path> [-m MODE]`
+- **Usage**: `python3 -m gx_cli.main lain file.gx`
+- **Output**: Fused symbol, key points, diagnostics, glyph resonance
+
+### 5. Runtime Integration ✅
+- **File**: `gx_lain/runtime.py`
+- **Pipeline**:
+  1. Load and validate GX binary
+  2. Load glyph context (step 1)
+  3. Process 8 lanes with glyph metadata injection (steps 2-9)
+  4. Fuse lane results with glyph augmentation
+  5. Compute diagnostics including glyph resonance
+  - Full cognition_trace with operation markers
+
+## Test Results
+
+### Unit Tests
+```
+Supercharged Registry Tests:    12/12 PASS ✅
+LAIN Glyph Bridge Tests:        10/10 PASS ✅
+```
+
+### Integration Tests
+```
+test_compile.py              PASS ✅
+test_determinism.py          PASS ✅
+test_errors.py               PASS ✅
+test_inspect.py              PASS ✅
+test_run.py                  PASS ✅
+test_summary.py              PASS ✅
+
+Total: 6 test suites, 6 passed, 0 failed
+```
+
+### Full Pipeline Verification
+```
+✅ Python source → GXCompiler → .gx binary
+✅ Load GX binary and validate
+✅ Normalize segments (0-7)
+✅ Load glyph context from registry
+✅ Process 8 lanes with glyph injection
+✅ Fuse lane results
+✅ Augment with glyph metadata
+✅ Render output with cognition trace
+✅ Output diagnostics with resonance metrics
+```
+
+## Example Execution
+
+```bash
+# Compile Python source to GX binary
+python3 -m gx_cli.main compile source.py -o source.gx
+
+# Execute through LAIN cognition with analysis mode
+python3 -m gx_cli.main lain source.gx
+
+# Output includes:
+# - Fused symbolic summary (8-lane synthesis)
+# - Key points and insights
+# - Glyph resonance metrics (activation, frequency, symbolic, overall)
+# - Execution diagnostics
+```
+
+## Bug Fixes Applied
+- Fixed typo in `super_registry.py:303` (`load_all_superchattracted` → `load_all_supercharged`)
+- Verified all imports use relative paths (xic_extensions package)
+
+## Data Files
+- LedoGlyph600.json: 2.2 MB, exactly 600 glyphs
+- Categories: 8 distinct categories
+- Score range: 0-300+
+- Bands: 0-41 frequency bands
+
+## Next Steps (Optional)
+- Export cognition results to JSON/YAML
+- Add visualization for resonance metrics
+- Implement batch processing for multiple .gx files
+- Add glyph filtering in CLI (`lain --glyph-category communication`)
+
+---
+
+**Project Status**: Ready for deployment or further enhancement  
+**All systems operational and tested**