Initial README

README.md

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+---
+license: apache-2.0
+tags:
+  - multi-task
+  - object-detection
+  - semantic-segmentation
+  - depth-estimation
+  - frozen-backbone
+  - vision-transformer
+library_name: pytorch
+---
+
+# Prism
+
+One head architecture for all spatial vision tasks. The structure separates features by scale; the output weights select the task.
+
+The cofiber decomposition (average pool, subtract, iterate) produces multi-scale feature bands from a frozen backbone's spatial output. Each band isolates information present at one spatial scale but absent from the next coarser scale. The decomposition is analytic — zero learned parameters. Task-specific prediction is a single linear layer per task on the shared decomposed features.
+
+```
+Frozen backbone → spatial features → cofiber decomposition (0 params)
+                                          ↓
+                                    scale band 0 (stride 16)
+                                    scale band 1 (stride 32)
+                                    scale band 2 (stride 64)
+                                          ↓
+                              ┌── Detection weights  (768 → 80 classes + 4 box + 1 ctr)
+                              ├── Segmentation weights (768 → 150 classes)
+                              ├── Depth weights (768 → 256 bins)
+                              └── Any other spatial task (768 → N)
+```
+
+The architecture is the decomposition. The task is the last matrix multiply.