`rrules` do not support chunked mode

This is a general issue, but for a specific incarnation, https://github.com/JuliaDiff/ChainRules.jl/blob/8073c7c4638bdd46f4e822d2ab72423c051c5e4b/src/rulesets/Base/array.jl#L40

function rrule(::typeof(Base.vect), X::Vararg{T, N}) where {T, N}
    vect_pullback(ȳ) = (NoTangent(), NTuple{N}(ȳ)...)
    return Base.vect(X...), vect_pullback
end

This rule implicitly assumes that ȳ is a Vector, but if you are taking a jacobian, it will be a Matrix in which case, it should be

function rrule(::typeof(Base.vect), X::Vararg{T, N}) where {T, N}
    vect_pullback(ȳ) = (NoTangent(), ȳ...)
    return Base.vect(X...), vect_pullback
end

Similar problems also exist for the getindex rrules, and I'm sure there are a bunch of other similar cases.
Is there a good general solution to this?

Start with src/rulesets/Base/array.jl at the Base.vect rrule example and inspect the related getindex rrules. Reproduce the difference between vector and matrix cotangents in a Jacobian or chunked-mode case, then survey similar tuple-unpacking assumptions. Done means a reviewed general approach and coverage for the affected rules, but the issue does not name tests or a settled design.