Update docs.

Author: mbutrovich

docs/source/contributor-guide/parquet_scans.md

@@ -46,7 +46,7 @@ The following features are not supported by either scan implementation, and Come
 - Spark's Datasource V2 API. When `spark.sql.sources.useV1SourceList` does not include `parquet`, Spark uses the
   V2 API for Parquet scans. The DataFusion-based implementations only support the V1 API.
 - Spark metadata columns (e.g., `_metadata.file_path`)
-- No support for Dynamic Partition Pruning (DPP)
+- No support for AQE Dynamic Partition Pruning (DPP). Non-AQE DPP is supported.
 
 The following shared limitation may produce incorrect results without falling back to Spark:
 

docs/source/contributor-guide/roadmap.md

@@ -42,14 +42,14 @@ more Spark SQL tests and fully implementing ANSI support ([#313]) for all suppor
 
 ### Dynamic Partition Pruning
 
-Iceberg table scans support Dynamic Partition Pruning (DPP) filters generated by Spark's `PlanDynamicPruningFilters`
-optimizer rule ([#3349]). However, we still need to bring this functionality to our Parquet reader. Furthermore,
-Spark's `PlanAdaptiveDynamicPruningFilters` optimizer rule runs after Comet's rules, so DPP with Adaptive Query
-Execution requires a redesign of Comet's plan translation. We are focused on implementing DPP to keep Comet competitive
-with benchmarks that benefit from this feature like TPC-DS. This effort can be tracked at [#3510].
+Both Iceberg table scans and Parquet V1 native scans (`CometNativeScanExec`) support non-AQE Dynamic Partition Pruning
+(DPP) filters generated by Spark's `PlanDynamicPruningFilters` optimizer rule ([#3349], [#3511]). However, Spark's
+`PlanAdaptiveDynamicPruningFilters` optimizer rule runs after Comet's rules, so DPP with Adaptive Query Execution
+requires a redesign of Comet's plan translation. This effort can be tracked at [#3510].
 
 [#3349]: https://github.com/apache/datafusion-comet/pull/3349
 [#3510]: https://github.com/apache/datafusion-comet/issues/3510
+[#3511]: https://github.com/apache/datafusion-comet/pull/3511
 
 ## Ongoing Improvements