Clustering columns do not make Cassandra updates any safer: they only reduce the scope of conflicts. It's still last-write-wins--the approach that Cassandra's own blog recognizes as "a high potential for data loss".
That's why Cassandra offers choice at a query level.
It doesn't give you a choice: you get last-write-wins, or some limited merge functions with CQL types. You can't get generalized CRDTs in Cassandra, because they won't expose conflicts to the user layer. Cassandra gives up on a whole class of safe AP datatypes as a consequence of this restriction.
Now you are arguing about a lack of a particular builtin feature. Riak is last-write-wins by default with optional vector clocks and builtin CRDTs. Cassandra is last-write-wins by default with clustering columns allowing to implement an equivalent of Riak vector clocks and CRDTs in the application. If you include a client id in the primary key and use client-side timestamps, you essentially are doing vector clocks and there are no conflicts guaranteed - users of Cassandra have been doing it for years.
http://www.datastax.com/dev/blog/why-cassandra-doesnt-need-v...
As for the research you posted, there is no free lunch. Each of these strategies come with their own set of drawbacks. That's why Cassandra offers choice at a query level.