Section 4 in https://web.stanford.edu/class/archive/cs/cs109/cs109.1206/lectureNotes/LN02_combinatorics.pdf has an explanation of multinomial coefficient to address Selecting multiple groups of objects when objects are all distinct.
I understand the multinomial coefficient having those denominators to reduce overcounting within each group, and that the distinct objects are indistinct within each group from the perspective of group labels assigned to them.
However I don't see any discussion of what happens when not all objects are distinct. For example, I have $A, B, C_1,C_2$ to split into 2 groups of 2 each. If both C are in the same group, the "within group count reduction" works well. However if C1 and C2 are in different groups, like ${A, C_1}$ and ${B, C_2}$, the multinomial coefficient denominator wouldn't be able to recognize that it's the same as ${A,C_2}$ and ${B,C_1}$ and account for that.
Question: Is there any established framework/concept to address this?
Does it also work for cases where there are more than 2 indistinct objects, and possibly spread across more than 2 groups, and spread unevenly?