Short-Term Seismic Prediction via DSN-SRI Framework: Chiral-Magnetic Integration and Measurement of the Topological Invariant ΣC′

Short-term earthquake prediction remains one of the greatest challenges in geophysics, largely due to the difficulty of linking macroscopic crustal stress to microscopic precursors. This paper presents the DSN-SRI Framework, a novel approach that integrates a low-cost molecular sensor withtopological data analysis to detect imminent seismic activity.The core innovation is the Augmented Folate Functor (𝓕_Fol^Fe), a hybrid molecule combining folate with iron(III) chloride (FeCl₃). The sensor exploits folate's natural chirality and its interaction with the spin states of Fe³⁺ ions to measure changes in local vacuum field coherence (ΔCCI) induced by crustal stress. This signal is quantified as the Topological Invariant ΣC′, derived from a generalized Atiyah–Singer Index Theorem, ensuring that the detected precursor is fundamentally topological innature rather than classical electromagnetic noise.The framework integrates seven seismic precursors using an Unscented Kalman Filter (UKF) and an LSTM autoencoder, producing a normalized Seismic Risk Index (SRI). Monte Carlo simulations (N = 10⁶) indicate a probability of detection of approximately 80% for earthquakes of magnitude > 6, with an average lead time of 4.8 days and a short‑term alert window of 1–12 hours.A key feature of the proposal is its falsifiability: the chiral nature of the signal can be validated by an enantiomer test, comparing the response of S‑folate and R‑folate under identical stress conditions. A positive differential would confirm the topological origin of the effect, while a null result would invalidate the core hypothesis.The DSN-SRI Framework is designed for low‑cost reproducibility, with an estimated cost of US$ 25,000 per integrated station. A two‑phase validation protocol is proposed: bench validation of the sensor (EREF‑Fe) followed by pilot deployment in high‑risk seismic zones. This work offers a testable hypothesis that bridges molecular quantum chemistry, topology, and geophysics, with the potential to contribute to short‑term seismic forecasting