docs: track paper sources and scoliosis experiment updates

docs/sconet-drf-status-and-training.md

@@ -2,7 +2,7 @@
 
 This note records the current Scoliosis1K implementation status in this repo and the main conclusions from the recent reproduction/debugging work.
 
-For a stricter paper-vs-local reproducibility breakdown, see [scoliosis_reproducibility_audit.md](/home/crosstyan/Code/OpenGait/docs/scoliosis_reproducibility_audit.md).
+For a stricter paper-vs-local reproducibility breakdown, see [scoliosis_reproducibility_audit.md](scoliosis_reproducibility_audit.md).
 
 ## Current status
 
@@ -69,6 +69,8 @@ The main findings so far are:
 - On the easier `1:1:2` split, the skeleton branch is clearly learnable:
   - `body-only + weighted CE` reached `81.82%` accuracy and `65.96%` macro-F1 on the full test set at `7000`
   - `body-only + plain CE` improved that to `83.16%` accuracy and `68.47%` macro-F1 at `7000`
+  - a later full-test rerun confirmed the `body-only + plain CE` `7000` result exactly
+  - a `head-lite + plain CE` variant looked promising on the fixed proxy subset but underperformed on the full test set at `7000` (`78.07%` accuracy, `62.08%` macro-F1)
 
 The current working conclusion is:
 
@@ -76,6 +78,7 @@ The current working conclusion is:
 - the strong silhouette checkpoint is not evidence that the skeleton-map path works
 - the main remaining suspect is the skeleton-map representation and preprocessing path
 - for practical model development, `1:1:2` is currently the better working split than `1:1:8`
+- for practical model development, the current best skeleton recipe is still `body-only + plain CE + SGD` on `1:1:2`
 
 For readability in this repo's docs, `ScoNet-MT-ske` refers to the skeleton-map variant that the DRF paper writes as `ScoNet-MT^{ske}`.