question: You are answering a 3D spatial-reasoning question from a SINGLE monocular driving image with numbered bounding boxes. Frontier models routinely get these right by luck while reasoning incorrectly: they lean on flat-image shortcuts ('lower in the frame = closer', 'bigger box = nearer', 'left in the image = to my left') that collapse on elevated roads, slopes, curves, and intersections. To answer reliably you must reconstruct the real 3D scene, not the pixel layout. Reason explicitly and quantitatively.
  
  Question: Among all labeled objects, which one is furthest to our right in 3D space (not image position)?
  
  Reasoning protocol (metric 3D):
  1. For each referenced object estimate (a) forward distance along the ego heading and (b) signed lateral offset in meters (left positive, right negative).
  2. Image x-position is NOT lateral offset. Because of perspective convergence, an object far ahead near the image edge can have a SMALL true lateral offset, while a nearby object can be sharply offset. Reason from the road geometry, not the pixel column.
  3. Use the (forward, lateral) estimates to derive the ordering or position class, and state each object's lateral value before deciding.
  
  Finish with a single line in the exact format: 'Answer: <LETTER>'.
choices: A. <8> B. <1> C. <12> D. <9>