Sparse outer product fails for SparseVector with stored zero

[Keno]

julia> A = spzeros(Int, 4)
4-element SparseVector{Int64, Int64} with 0 stored entries

julia> A[2] = 1
1

julia> A[2] = 0
0

julia> A * sparsevec([0 0 1 1 0 0])'
ERROR: ArgumentError: Illegal buffers for SparseMatrixCSC construction 6 [1, 1, 1, 1, 1, 1, 1] [0, 139764218343329] [0, 139765420920097]
Stacktrace:
  [1] SparseMatrixCSC
    @ ~/julia/usr/share/julia/stdlib/v1.8/SparseArrays/src/sparsematrix.jl:29 [inlined]
  [2] SparseMatrixCSC(m::Int64, n::Int64, colptr::Vector{Int64}, rowval::Vector{Int64}, nzval::Vector{Int64})
    @ SparseArrays ~/julia/usr/share/julia/stdlib/v1.8/SparseArrays/src/sparsematrix.jl:44
  [3] _outer(trans::typeof(conj), x::SparseVector{Int64, Int64}, y::SparseVector{Int64, Int64})
    @ SparseArrays.HigherOrderFns ~/julia/usr/share/julia/stdlib/v1.8/SparseArrays/src/higherorderfns.jl:858
  [4] _outer
    @ ~/julia/usr/share/julia/stdlib/v1.8/SparseArrays/src/higherorderfns.jl:820 [inlined]
  [5] _copy
    @ ~/julia/usr/share/julia/stdlib/v1.8/SparseArrays/src/higherorderfns.jl:819 [inlined]
  [6] copy
    @ ~/julia/usr/share/julia/stdlib/v1.8/SparseArrays/src/higherorderfns.jl:1130 [inlined]
  [7] materialize
    @ ./broadcast.jl:860 [inlined]
  [8] broadcast(::typeof(*), ::SparseVector{Int64, Int64}, ::Adjoint{Int64, SparseVector{Int64, Int64}})
    @ Base.Broadcast ./broadcast.jl:798
  [9] *(u::SparseVector{Int64, Int64}, v::Adjoint{Int64, SparseVector{Int64, Int64}})
    @ LinearAlgebra ~/julia/usr/share/julia/stdlib/v1.8/LinearAlgebra/src/adjtrans.jl:300
 [10] top-level scope
    @ REPL[41]:1