For the longest time I have thought that a problem was NP-complete if it is both (1) NP-hard and (2) is in NP.
However, in the famous paper "The ellipsoid method and its consequences in combinatorial optimization", the authors claim that the fractional chromatic number problem belongs to NP and is NP-hard, yet is not known to be NP-complete. On the third page of the paper, the authors write:
... we note that the vertex-packing problem of a graph is in a sense equivalent to the fractional chromatic number problem, and comment on the phenomenon that this latter problem is an example of a problem in $\mathsf{NP}$ which is $\mathsf{NP}$-hard but (as for now) not known to be $\mathsf{NP}$-complete.
How is this possible? Am I missing a subtle detail in the definition of NP-complete?