Slow changing dimension with two pairs of start/end dates

Question

For my DWH I consider implementing scd with two pairs of start/end dates: effective_from_dttm/effective_to_dttm and valid_from_dttm/valid_to_dttm. The reason is that I needed to track changes with both timestamp from source and timestamp that shows when a row was extracted in staging area of dwh. In staging are I have tables with two timestamps: reliable timestamp (processed_dttm) that I generate when extracting from source and unreliable timestamp (last_upd_dttm) which comes from source. Effective/valid dates are created from these two timestamps accordingly.

Consider this example:

DDS Table

id	changing_field	effective_from_dttm	effective_to_dttm	valide_from_dttm	valide_to_dttm
1	something	01.01.2022	null	10.02.2022	null

INPUT TABLE

id	changing_field	last_upd_dttm	processed_dttm
1	something_new!	01.01.2022	11.02.2022

DDS Table (delta applied)

id	changing_field	effective_from_dttm	effective_to_dttm	valide_from_dttm	valide_to_dttm
1	something	01.01.2022	null	10.02.2022	11.02.2022
1	something_new!	01.01.2022	null	11.02.2022	null

As I said last_upd_dttm is unreliable timestamp, for example, in source system record can be changed while last_upd_dttm stays the same due to possible fraud or mistake which I need to detect.

INPUT TABLE

id	changing_field	last_upd_dttm	processed_dttm
1	something_new2!	12.02.2022	12.02.2022

DDS Table (delta applied)

id	changing_field	effective_from_dttm	effective_to_dttm	valide_from_dttm	valide_to_dttm
1	something	01.01.2022	12.02.2022	10.02.2022	11.02.2022
1	something_new!	01.01.2022	12.02.2022	11.02.2022	12.02.2022
1	something_new2!	12.02.2022	null	12.02.2022	null

Now I have a history of effectivity in source system and in dwh. Is there a more simple approach for reflecting such history? I guess having two pairs of dates will make process of building marts too complicated. And is there a type of SCD with this double versioning or maybe someplace where I can read about such approach?