Research Preview · v0.4.1

Neural Superposition
for Phytopathology.

Quoryn resolves overlapping latent signatures in crop morphology to identify multi-pathogen and environmental stressors before they manifest in observable degradation.

38
Disease classes
4096
Latent dimensions
1.2M
Sample corpus
01 · Live Superposition Inference

Simultaneous detection of co-existing pathologies within a single cellular structure.

Microscopic potato leaf sample QX-9942-B with subtle blight lesions
Sample · QX-9942-B
● Active Scan
Grad-CAM Activation
Grad-CAM heatmap
Uncertainty Map
Uncertainty distribution

Superposition Inference

Multi-label Latent Decomposition

Inference
14ms
Phytophthora Infestans94.2% 0.4]
Early Blight (Alternaria)38.6% 2.1]
Septoria Leaf Spot12.8% 1.8]
Nutrient Deficiency · K7.4% 1.2]
Leaf Curl Pathogen0.3% 0.1]
Note · Overlapping activations detected in latent sector 0x8F. Co-occurrence of fungal-spore and chlorosis features suggests a mixed pathogen-deficiency state — the superposition layer routes both signatures through shared basis vectors.
Latent Density · z₃₂
0.412
Training Loss · log
0.0042

N-Dimensional Cluster Projection

live · latent stream
3D latent point cloud