Unexpected data in Blob Dataset 2020

[darkryder]

The schema of the 2020 Blob Dataset presents AnonFunctionInvocationId and AnonAppName as unique IDs.

However, there are sometimes discrepancies where the invocationId spans multiple application names. For example,

full_df[full_df['AnonFunctionInvocationId'] == 1967128581]

Timestamp	AnonRegion	AnonUserId	AnonAppName	AnonFunctionInvocationId	AnonBlobName	BlobType	AnonBlobETag	BlobBytes	Read	Write	Datetime
1606814873193	q2d	1209884869	01qqaww4	1967128581	1wx5dgohq1kiwjum	BlockBlob/text/plain; charset=utf-8	f1x5p2nqh6	28.0	True	False	2020-12-01 09:27:53.193
1607004493391	q2d	1209884869	j2alqt8s	1967128581	1wx5dgohq1kiwjum	BlockBlob/text/plain; charset=utf-8	w5mohi6523	28.0	True	False	2020-12-03 14:08:13.391

This seems to be a recurrent pattern with this user, for example consider other functionInvocationIds 830734703, 440926898, or 900464655.

This leads me to believe that the cause is unlikely to be unfortunate prefixes of hashed IDs. Is there any way to explain this discrepancy, apart from the data being potentially unclean?