QuantumNovelty Agent Uses Deterministic Gates to Screen Quantum Papers and Patents at $24 per Review

{"QuantumNovelty orchestrates skills to both generate and critique quantum artifacts such as ansatz candidates and patent drafts. Its core innovation is a stack of deterministic gates that recompute numerical claims from on-disk files, enforce strict Pareto domination, and require cross-vendor model consensus before any claim survives. On an adversarial corpus containing planted overclaims, the gates flagged every violation with zero false positives while logging every token cost.","A live deployment reviewed six manuscripts plus one granted patent for roughly twenty-four dollars total. The simulated referee panels proved more conservative than the actual acceptance record of those works. This aligns with broader patterns where AI-assisted screening tools surface hidden inconsistencies that human reviewers overlook under time pressure, echoing findings from earlier studies on automated consistency checks in high-energy physics.","The framework remains explicitly decision support rather than replacement. Its unexercised mechanisms on real inputs highlight the gap between controlled adversarial tests and the noisier distribution of submitted quantum patents. Scaling will require larger blinded trials against multiple human panels to quantify agreement rates beyond the current one-sided sample.","Next steps include integration with journal submission systems and extension to other technical domains where numerical reproducibility is paramount. If adoption occurs, journals could route initial novelty screens through such agents while reserving final judgment for experts."}