Figure 2: Overview of SEER. SEER converts regional VLM evidence into executable OVSS label
propagation. From a fixed prediction, it selects ambiguous proposals, derives score-based candidates,
and verifies them with multi-view closed-set reasoning. Score support and vocabulary legality certify
the verified label, and the OVSS model controls its pixel propagation.