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This PR addresses #61636, which reports inconsistent dtype coercion during groupby aggregation on PyArrow-backed DataFrames. Specifically, aggregations like 'sum' or 'first' on columns with Arrow dtypes (e.g., int32, uint64) may return outputs with unexpected pandas-native dtypes like float64.

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Thanks @Ranjana-babu. You should submit to this repo the final changes to fix the bug. Not sure who this contribution plan is addess to, but not us. I'll close this PR, feel free to open a new one when you fixed the bug.

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