Execution Accuracy (EX), the widely used metric for evaluating the effectiveness of Natural Language to SQL (NL2SQL) solutions, is becoming increasingly unreliable.It is sensitive to syntactic variation, ignores that questions may admit multiple interpretations, and is easily misled by erroneous ground-truth SQL.To address this, we introduce ROSE, an intentcentered metric that focuses on whether the predicted SQL answers the question, rather than consistency with the ground-truth SQL under the reference-dependent paradigm.ROSE employs an adversarial Prover-Refuter cascade: SQL Prover assesses the semantic correctness of a predicted SQL against the user's intent independently, while Adversarial Refuter uses the ground-truth SQL as evidence to challenge and refine this judgment.On our expert-aligned validation set ROSE-VEC, ROSE achieves the best agreement with human experts, outperforming the next-best metric by nearly 24% in Cohen's Kappa.We also conduct a largescale re-evaluation of 19 NL2SQL methods, revealing four valuable insights.We release ROSE and ROSE-VEC to facilitate more reliable NL2SQL research 1 .

Distributed ledgers are enabling novel applications in traditional domains, such as finance, healthcare and supply chains, and in emerging domains such as metaverse. We observe that the current ecosystem is fragmented, with different blockchains operating in silos. Interledger applications that can access resources in different ledgers can tap into the billions of dollars worth of locked resources, but they require support for interledger communication. Existing interledger communications, however, are either insecure, inefficient, or application specific. Our goal is to design a system for interledger applications. To this end, we design and implement that achieves strong security guarantees and high performance while providing the general message passing abstraction to the applications. Our system leverages trusted hardware for performance and threshold signature schemes for strong security. It consists of multiple lightweight clients that verify transactions within their trusted execution environments before generating threshold signatures. We conduct extensive performance evaluations of and compare it against three state-of-the-art systems, namely WeCross, Cosmos IBC and LayerZero-V2. The results show that is efficient, achieving up to$42\times$higher throughput than the baselines.