While cross verification is a valuable tool, it comes with its own set of challenges:
Data Availability: Access to multiple high-quality datasets can be limited. Data Compatibility: Different datasets may have varying data collection methods, making it difficult to compare them directly. Resource Intensive: The process requires additional time, effort, and resources, which may not always be feasible.
