How to reuse cuDSS factors when solving a system of linear equations Ax=b

I am using cuDSS to solve a set of Ax=b equations as follows

cudssMatrixType_t mtype = CUDSS_MTYPE_SPD;
cudssMatrixViewType_t mview = CUDSS_MVIEW_UPPER;
cudssIndexBase_t base = CUDSS_BASE_ZERO;
    
cudssMatrixCreateCsr(&AA, nrows, ncols, nnz, d_row, NULL,
    d_col, d_val, CUDA_R_32I, CUDA_R_64F, mtype, mview,
    base);

cudssMatrixCreateDn(&b, ncols, nrhs, ldb, d_b, CUDA_R_64F,
    CUDSS_LAYOUT_COL_MAJOR);
    
cudssMatrixCreateDn(&x, nrows, nrhs, ldx, d_x, CUDA_R_64F,
    CUDSS_LAYOUT_COL_MAJOR);


/* Symbolic factorization */
cudssExecute(handle, CUDSS_PHASE_ANALYSIS, solverConfig, solverData,
    AA, x, b);

/* Factorization */
cudssExecute(handle, CUDSS_PHASE_FACTORIZATION, solverConfig,
    solverData, AA, x, b);


/* Solving */
cudssExecute(handle, CUDSS_PHASE_SOLVE, solverConfig, solverData,
    AA, x, b);

However, matrix AA remains constant while rhs vector b is updated at every timestep. Is there a way to extract the factors and reuse it as part of CUDSS_PHASE_SOLVE step at subsequent timesteps? I see that CUDSS_PHASE_FACTORIZATION is more expensive than CUDSS_PHASE_SOLVE and hence I would prefer to avoid this step at every time step.