training: document state files

Add State Files section to DESIGN.md documenting:
- /tmp/vllm_weight_handles.pt (IPC handles)
- trained-responses.json (prevent re-training)
- finetune-alternates marker file
- In-memory optimizer state (not persisted)

Co-Authored-By: Proof of Concept <poc@bcachefs.org>

training/DESIGN.md

@@ -204,9 +204,32 @@ against live GPU weights block by block, memcpy only changed
 regions. For small behavioral updates, turns a 54GB write into
 a few hundred MB.
 
-- Every 10 minutes via cron on B200
+- Scheduled 10 minutes after training (batched)
 - Daily rsync to moria for long-term storage
-- Tool: `apollo-checkpoint sync --model-dir <path>` (Rust)
+- Tool: `apollo-checkpoint sync --model-dir <path>`
+
+## State Files
+
+### B200 (training server)
+
+| File | Purpose |
+|------|---------|
+| `/tmp/vllm_weight_handles.pt` | CUDA IPC handles for weight sharing. Written by export_hook on vLLM startup. Read by train_router to construct HF model with vLLM weight views. |
+| `<model_dir>/*.safetensors` | Model weights. Updated in-place by checkpoint_sync. |
+
+### Moria (client)
+
+| File | Purpose |
+|------|---------|
+| `~/.consciousness/cache/trained-responses.json` | Timestamps (ms) of responses already sent to /train. Prevents re-training the same response. |
+| `~/.consciousness/cache/finetune-alternates` | Marker file. If exists, alternate responses are generated during divergence scoring to show what model would say without memories. |
+
+### In-memory (not persisted)
+
+| State | Location | Notes |
+|-------|----------|-------|
+| Apollo optimizer state | train_router._model | Created fresh each /train call. ~10GB for rank-256. Not persisted between requests. |
+| HF model with vLLM views | train_router._model | Lazy-loaded on first /train. Parameters point to vLLM's GPU memory. |
 
 ## Hyperparameters