A preprint posted to arXiv in May 2026 proposes Fisher information velocity as a geometric diagnostic for separating instrumental transients from astrophysical signals in LIGO data. Unlike conventional band-limited root-mean-square monitors that track amplitude excursions, the new channel treats the power spectral density as a point on a Riemannian manifold and measures its tangent-space divergence. The study processed roughly 40 hours of high-cadence O4a strain data through the sgn-drift streaming pipeline, yielding 282080 independent manifold-velocity samples. This yielded a bimodal taxonomy in which 87.2 percent of severe non-stationary events were classified as structural pivots rather than isotropic surges. The geometric metric outperformed BLRMS in 74 percent of co-detected cases, with a median sensitivity gain of 1.65, while adding an 87 percent increase in the total anomaly catalog. Validation on ten confirmed GWTC-4.0 events and approximately five thousand simulated injections indicated negligible leakage of true gravitational-wave signals into the veto stream. Because the work remains an unreviewed preprint, its robustness under varied detector configurations and longer observing runs is still untested. The approach arrives at a pivotal moment: with KAGRA, LIGO-India, and planned third-generation facilities such as the Einstein Telescope and Cosmic Explorer coming online, the aggregate glitch rate will rise sharply. Earlier DetChar literature, such as the 2019 LIGO-Virgo collaboration paper on hierarchical glitch classification (Abbott et al., Class. Quantum Grav. 36, 155010), documented how morphological clustering alone misses subtle spectral redistributions; the Fisher-velocity framework directly addresses that gap by decoupling global scaling from differential power shifts. A second related line of work on information geometry in time-series analysis (Amari, 2016, Information Geometry and Its Applications) supplies the exterior-algebra tools that convert PSD trajectories into quantifiable tangent divergence, an angle the current preprint applies but does not fully historicize. One limitation not emphasized in the source is computational latency: real-time manifold updates at kilohertz cadence may strain existing low-latency pipelines unless further optimized. Nevertheless, the non-overlapping event populations detected by the geometric and BLRMS channels suggest that joint use could raise the effective duty factor of future networks without increasing false-dismissal risk for compact-binary signals.