A scalable, distributed spectrum enforcement scheme is proposed in which sensor reputation is used as a form of "currency" to reflect the perceived value of sensing measurements. Challenges related to sensor trust and geographical scalability are addressed by partitioning a region into grids, each of which is maintained by an immutable "Localchain". A novel Performance-Based Difficulty Consensus (PBDC) algorithm is introduced, featuring adaptive mining difficulty adjusted based on a validator’s qualification score and observed grid hostility. Through reputation-weighted fusion, spectrum policy infractions are detected with over 90% accuracy and localized within a 35m radius, even when 80% of sensor reports are maliciously altered. This framework ensures high-integrity enforcement in a zero-trust environment without the need for a central authority.