diff --git a/docling/datamodel/pipeline_options.py b/docling/datamodel/pipeline_options.py
index 6359b40d..c33a4efa 100644
--- a/docling/datamodel/pipeline_options.py
+++ b/docling/datamodel/pipeline_options.py
@@ -347,11 +347,9 @@ class ThreadedPdfPipelineOptions(PdfPipelineOptions):
 
     # Backpressure and queue control
     queue_max_size: int = 100
-    max_workers: Optional[int] = None  # None uses ThreadPoolExecutor default
 
-    # Pipeline coordination
-    stage_timeout_seconds: float = 10.0  # Timeout for feeding items to stages
-    collection_timeout_seconds: float = 5.0  # Timeout for collecting results
+    # Pipeline coordination - batch_timeout_seconds is the only safe timeout
+    # stage_timeout_seconds and collection_timeout_seconds removed to prevent data loss
 
     @classmethod
     def from_sync_options(
diff --git a/docling/models/layout_model.py b/docling/models/layout_model.py
index 66305789..2ed30c5d 100644
--- a/docling/models/layout_model.py
+++ b/docling/models/layout_model.py
@@ -3,7 +3,7 @@ import logging
 import warnings
 from collections.abc import Iterable
 from pathlib import Path
-from typing import Optional
+from typing import List, Optional, Union
 
 import numpy as np
 from docling_core.types.doc import DocItemLabel
@@ -153,7 +153,7 @@ class LayoutModel(BasePageModel):
 
         # Separate valid and invalid pages
         valid_pages = []
-        valid_page_images = []
+        valid_page_images: List[Union[Image.Image, np.ndarray]] = []
 
         for page in pages:
             assert page._backend is not None
diff --git a/docling/pipeline/threaded_standard_pdf_pipeline.py b/docling/pipeline/threaded_standard_pdf_pipeline.py
index 59538074..6ef4e90b 100644
--- a/docling/pipeline/threaded_standard_pdf_pipeline.py
+++ b/docling/pipeline/threaded_standard_pdf_pipeline.py
@@ -590,11 +590,11 @@ class ThreadedStandardPdfPipeline(BasePipeline):
                 page_no=page.page_no,
             )
 
-            # Feed into first stage with timeout
-            if not self.preprocess_stage.input_queue.put(
-                item, timeout=self.pipeline_options.stage_timeout_seconds
-            ):
-                _log.warning(f"Failed to feed page {page.page_no} due to backpressure")
+            # Feed into first stage - block patiently to ensure no pages are dropped
+            if not self.preprocess_stage.input_queue.put(item, timeout=None):
+                _log.error(
+                    f"Failed to feed page {page.page_no} - queue was closed unexpectedly"
+                )
 
     def _collect_results_with_recovery(
         self, conv_res: ConversionResult, expected_count: int
@@ -603,22 +603,24 @@ class ThreadedStandardPdfPipeline(BasePipeline):
         result = ProcessingResult(total_expected=expected_count)
         doc_id = id(conv_res)
 
-        # Collect from output queue
+        # Collect from output queue - block patiently to ensure all pages are collected
         while len(result.pages) + len(result.failed_pages) < expected_count:
             batch = self.output_queue.get_batch(
                 batch_size=expected_count
                 - len(result.pages)
                 - len(result.failed_pages),
-                timeout=self.pipeline_options.collection_timeout_seconds,
+                timeout=None,  # Block indefinitely to ensure no pages are lost
             )
 
             if not batch:
-                # Timeout reached, log missing pages
+                # Empty batch only happens when queue is closed - all stages must have finished
                 missing_count = (
                     expected_count - len(result.pages) - len(result.failed_pages)
                 )
                 if missing_count > 0:
-                    _log.warning(f"Pipeline timeout: missing {missing_count} pages")
+                    _log.error(
+                        f"Pipeline closed unexpectedly: missing {missing_count} pages"
+                    )
                 break
 
             for item in batch: