Emit and Read min/max statistics for int96 timestamp columns

### Describe the enhancement requested

Parquet-java does not emit or read stats for int96 timestamp columns. Since int96 is used as the default timestamp in spark, this limits a lot of optimization opportunities. Engines like [Photon](https://www.databricks.com/product/photon) populate the statistics for the int96 timestamps correctly. So parquet-java coud also emit the statistics, and also allow reading these statistics from known good writers.

### Component(s)

_No response_

Start by tracing parquet-java's existing statistics handling for timestamp columns and compare the expected int96 min/max representation with the behavior of known-good writers such as Photon. The work is done when parquet-java emits and reads correct min/max statistics for int96 timestamp columns, with coverage for both paths.

Written by the indexing model from the issue text.