You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
Client Challenge



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</reference>

<statements>
1. The design contribution is therefore not to invent a new sensor, but to couple these methods into a supervisory digital twin that optimizes scan speed, viewpoint, focus, illumination and scheduling against a trait-uncertainty cost, while explicitly budgeting registration, mixed-pixel, laser-penetration, occlusion and benchmark-transfer errors that the literature quantifies only separately
2. It also enables non-destructive longitudinal monitoring
3. For breeding-scale work, technologies also differ by scale, from single-plant laboratory settings to miniplots, experimental fields and open fields
4. SfM resolution depends on image count, viewing angles and CCD resolution
5. Passive SfM uses sets of RGB images to reconstruct 3D models, but its resolution depends on image count, viewing-angle diversity and camera-chip resolution
6. SfM and neural-rendering pipelines also require calibration and convergence checks
7. The design implication is that camera pose and reconstruction convergence must be treated as estimated states with quality flags, not as assumed constants
8. Observability is a central limitation of single-view 3D grain phenotyping
9. True 3D models from multiple views reduce occlusion and improve resolution and accuracy compared with 2.5D single-view methods
10. Even so, occlusion remains present because the inner centre of a plant can be hidden by its own leaves
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.