CSP as Spatial Reasoning
Structured binary encodes spatial state. Deterministic projections produce consumer-specific outputs. No training. No inference. Just bit manipulation — achieving what GNNs do with learned weights.
0101011001001010001011110001001001010110000000000000011100000100101000000000001111110000110000000000000100000010
version [0:1] offsetType [2:3] precisionTier [4:5] semanticPresent [6:6] anchorOverride [7:7] mgrsCell [8:39] structuralOffset [40:79] confidence [80:87] semanticFlags [88:95] eventType [96:103] priority [104:111]
Header Decode
The first byte encodes 5 control fields. Structural offset mode tells us this is a building reference. Operational precision gives 0.1m resolution. Semantic flag indicates event classification follows.
BYTES
56A GNN needs:
- Training data: 10K+ building layouts
- GPU inference: spatial transformer
- Feature extraction pipeline
- 3D point cloud processing
~50–200ms (GPU)
CSP needs:
- 14 bytes of structured binary
- Byte-level deterministic decode
- Structure overlay lookup table
- Zero training, zero weights
<1ms (deterministic)
Consumer Projections
Audio Tactical
HOSTILE. Building 7. Floor 4. SW. window 4. IMMEDIATE.
Autonomous Nav
{
"mgrs": "[4A2F] 12 56",
"altAgl": 12,
"approachBearing": 45,
"orbitRadius": 30,
"structure": 7,
"floor": "Floor 4"
} Tactical Display
{
"marker": "Structure 7, Floor 4, SW",
"metadata": {
"event": "HOSTILE",
"entity": null,
"priority": "IMMEDIATE",
"source": null,
"confidence": "0.94",
"floor": "Floor 4",
"facade": "SW",
"unit": "window 4"
},
"uncertaintyRadius": 6,
"confidenceIndicator": "HIGH"
} Fires Digital
{
"status": "ENGAGEMENT_DENIED",
"reason": "Insufficient confidence: missing semantic pair (eventType/entityClass), sourceType missing or inferred-only",
"mgrs": "[4A2F] 12 56",
"confidence": "0.94"
}