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Parallel exploration beats sequential refinement when scaling agent test-time compute, but early-stage trajectory errors create persistent bottlenecks that deeper search and downstream model grafting struggle to overcome.
BENCHCOMPASS is introduced, a payment-domain benchmark whose construction pipeline builds scenario-grounded tasks from typed evidence packs, applies LLM-based quality checks, creates task-input attack variants, and reserves final item admission for domain experts.