Noise Inference by Recycling Test Rounds in Verification Protocols

This is a 6-day-old academic paper (not a software project) with zero traction signals (0 stars, 0 forks, no velocity). The core contribution appears to be a theoretical insight: recycling test rounds in quantum verification protocols to extract noise characterization, potentially bridging the overhead gap between classical-only and quantum-communicating verification schemes. NOVELTY: Novel combination—it synthesizes existing quantum verification protocol theory with noise inference techniques, but represents an incremental theoretical advancement rather than a breakthrough. The concept of using test rounds for noise characterization is not new; the novelty lies in the recycling efficiency gain. DEFENSIBILITY: Score of 3 reflects that this is a theoretical paper with no implemented artifact, no community adoption, and no reproducible codebase yet. It is trivially citable but not defensible as a *project* until someone builds implementations or experimental validation. The idea is sound but not yet embodied in tooling. FRONTIER RISK: Medium—frontier labs (Google Quantum, IBM, Atom Computing, Pasqal) are actively researching quantum verification and noise characterization. They would not copy this specific paper, but they might integrate the noise-recycling insight into their own verification pipelines. This is complementary research rather than competing infrastructure; unlikely to be built as a standalone product by labs, but very likely to be cited and integrated. COMPOSABILITY: Theoretical framework with reference-implementation depth. No pip package, no API, no CLI—only mathematical formalism and proof sketches. Integration would require custom implementation in each lab's quantum stack. IMPLEMENTATION DEPTH: Theoretical (paper only, no code artifact linked at submission time).