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DTS-GSSF is a dual-timescale graph state-space forecasting framework for real-time passenger flow that combines long-memory spatio-temporal modeling with online residual correction, drift-triggered low-rank adaptation, and hierarchical reconciliation for coherent station→line→network predictions.

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DTS-GSSF is a dual-timescale graph state-space forecasting framework for real-time passenger flow that combines long-memory spatio-temporal modeling with online residual correction, drift-triggered low-rank adaptation, and hierarchical reconciliation for coherent station→line→network predictions.

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