diff --git a/src/daft-micropartition/src/python.rs b/src/daft-micropartition/src/python.rs
index 704987ded0..4c16e2b70f 100644
--- a/src/daft-micropartition/src/python.rs
+++ b/src/daft-micropartition/src/python.rs
@@ -543,7 +543,7 @@ impl PyMicroPartition {
                 1,
                 multithreaded_io.unwrap_or(true),
                 &schema_infer_options,
-                &None, // TODO: pass in field_id mapping
+                &None,
             )
         })?;
         Ok(mp.into())
@@ -584,7 +584,7 @@ impl PyMicroPartition {
                 num_parallel_tasks.unwrap_or(128) as usize,
                 multithreaded_io.unwrap_or(true),
                 &schema_infer_options,
-                &None, // TODO: pass in field_id mapping
+                &None,
             )
         })?;
         Ok(mp.into())
diff --git a/src/daft-parquet/src/file.rs b/src/daft-parquet/src/file.rs
index efb67f784f..b6b96d9227 100644
--- a/src/daft-parquet/src/file.rs
+++ b/src/daft-parquet/src/file.rs
@@ -250,6 +250,7 @@ impl ParquetReaderBuilder {
     }
 
     pub fn prune_columns<S: ToString + AsRef<str>>(mut self, columns: &[S]) -> super::Result<Self> {
+        // TODO: perform pruning of columns on names AFTER applying the field_id_mapping
         let avail_names = self
             .parquet_schema()
             .fields()
@@ -439,8 +440,7 @@ impl ParquetFileReader {
             .fields
             .iter()
             .map(|pq_arrow_field| {
-                // Retrieve the appropriate field name from the field_id mapping
-                // TODO: We should do this recursively as well
+                // Retrieve the intended target field name (might differ from the Parquet field name, depending on the field_id_mapping)
                 let target_field_name = if let (Some(field_id_mapping), Some(field_id)) = (
                     self.field_id_mapping.as_ref(),
                     pq_arrow_field.metadata.get("field_id"),
@@ -564,6 +564,8 @@ impl ParquetFileReader {
                                     all_arrays
                                         .into_iter()
                                         .map(|a| {
+                                            // TODO: Need to perform recursive renaming of Series here. Hopefully arrow array
+                                            // has the correct metadata and that was correctly transferred to the Series...
                                             Series::try_from((
                                                 cloned_target_field_name.as_str(),
                                                 cast_array_for_daft_if_needed(a),
diff --git a/src/daft-parquet/src/read.rs b/src/daft-parquet/src/read.rs
index 53f8862810..f932d02349 100644
--- a/src/daft-parquet/src/read.rs
+++ b/src/daft-parquet/src/read.rs
@@ -379,7 +379,7 @@ pub fn read_parquet(
             io_client,
             io_stats,
             schema_infer_options,
-            None, // TODO: Add field_id_mapping
+            None,
         )
         .await
     })
diff --git a/src/daft-scan/src/file_format.rs b/src/daft-scan/src/file_format.rs
index 69702d446c..098962d3df 100644
--- a/src/daft-scan/src/file_format.rs
+++ b/src/daft-scan/src/file_format.rs
@@ -111,10 +111,10 @@ impl ParquetSourceConfig {
         ));
         if let Some(mapping) = &self.field_id_mapping {
             res.push(format!(
-                "Field ID to column names = [{}]",
+                "Field ID to Fields = {{{}}}",
                 mapping
                     .iter()
-                    .map(|(f, c)| format!("{f}: {c}"))
+                    .map(|(fid, f)| format!("{fid}: {f}"))
                     .collect::<Vec<String>>()
                     .join(",")
             ));