Update README.md

README.md

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 **TaiScience CSD-EWS** is an educational simulator for *critical slowing down* (CSD) as an early-warning signal in power grid stability. It visualizes how system eigenvalues (poles) approach the stability boundary, using a Jacobian eigenvalue proxy and damping-ratio thresholds.
 
-This work is part of the TokaMind transfer-learning framework, which adapts a tokamak-plasma foundation model to power-grid dynamics. While Microsoft's GridSFM addresses static AC-OPF feasibility, this system targets *dynamic* CSD precursors — complementary directions for grid security analysis, relevant to cascading-failure events such as the 2025 Iberian blackout and the 2016 South Australia blackout.
+This work is part of the TokaMind transfer-learning framework, which adapts a tokamak-plasma foundation model to power-grid dynamics. While Microsoft's GridSFM addresses static AC-OPF feasibility, this system targets *dynamic* CSD precursors — complementary directions for grid security analysis, relevant to cascading-failure events such as the 2025 Iberian blackout and the 2016 South Australia blackout. For the architecture that pairs GridSFM's feasible operating points with these topology-free CSD observables (Screen → Gate, warm-start recheck, dual-score console), see the companion analysis page:
+**GridSFM × CSD** — https://jackman993.github.io/gridsfm-csd/
 
 ## What It Shows
 
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 ## Related Work
 
+- GridSFM × CSD collaboration analysis: https://jackman993.github.io/gridsfm-csd/
 - TaiScience Research Group (Fu Jen Catholic University): https://taiscience.org
 - StromaPath platform: https://stromapath.com
 - TokaMind PMU transfer-learning preprint: https://arxiv.org/abs/2605.11033