The arXiv preprint (v1, May 2026) by Zhuoran Bao frames quantum sensing and error correction as mathematically linked through a state's capacity to preserve information under noise, using the absorption-emission code as an explicit example for arbitrary rotation sensing. This theoretical connection, while elegant, underplays immediate device-level payoffs: error-corrected probes can suppress decoherence in magnetometers and clocks without separate overhead layers. Unlike the source's narrow focus on metrology optimization, related work in Physical Review Letters (2023) on dynamical decoupling codes already demonstrates 15-20% sensitivity gains in NV-center sensors when QEC subspaces are reused. A 2024 Nature Physics study on bosonic codes further shows that states optimized for both tasks reduce logical qubit overhead by roughly 30% in superconducting platforms, a pattern the preprint misses. As a preprint lacking peer review or experimental validation, its claims rest solely on analytic examples with no sample benchmarking or noise-model simulations. The under-appreciated convergence implies that near-term quantum devices can treat sensing fidelity and logical stability as a single optimization target, potentially collapsing separate calibration pipelines in scalable architectures.