Close the backbone row: the prediction held

DINOv2-large, twice the depth of base and wider, leaves the shared count
at exactly 15 and moves the correlation by less than the segmentation
noise floor. Four vision-side interventions now raise the vision field's
own rank and leave the intersection alone.

The cheap tier of the register is exhausted. What remains is a corpus
chosen for naturally wide overlap, promoted to the central bet, and the
unbalanced formulation, promoted to the critical path since such a
corpus is unlikely to arrive in bijection.

Co-Authored-By: Claude <noreply@anthropic.com>

1 files changed, 3 insertions, 1 deletions

diff --git a/logs/obj_large_gpu.log b/logs/obj_large_gpu.log
index 8dfb4fe..c0bfddf 100644
--- a/logs/obj_large_gpu.log
+++ b/logs/obj_large_gpu.log
@@ -1,3 +1,5 @@
 Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
 `torch_dtype` is deprecated! Use `dtype` instead!
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+{"nodes": 2000, "mean_segments": 6.0, "min_segments": 6}
+Wrote artifacts/vg_5k/nobj_large_gpu.pt