diff --git a/test/dynamo/test_logging.py b/test/dynamo/test_logging.py
index 5f6704b8a39..dd7e93de14c 100644
--- a/test/dynamo/test_logging.py
+++ b/test/dynamo/test_logging.py
@@ -982,6 +982,7 @@ exclusions = {
     "graph_region_expansion",
     "hierarchical_compile",
     "compute_dependencies",
+    "annotation",
 }
 for name in torch._logging._internal.log_registry.artifact_names:
     if name not in exclusions:
diff --git a/torch/_functorch/_aot_autograd/utils.py b/torch/_functorch/_aot_autograd/utils.py
index 83091d867d4..eae75e06a42 100644
--- a/torch/_functorch/_aot_autograd/utils.py
+++ b/torch/_functorch/_aot_autograd/utils.py
@@ -4,6 +4,7 @@ Contains various utils for AOTAutograd, including those for handling collections
 """
 
 import dataclasses
+import logging
 import operator
 import warnings
 from collections.abc import Callable
@@ -40,6 +41,7 @@ KNOWN_TYPES = [
 original_zip = zip
 
 aot_graphs_effects_log = getArtifactLogger(__name__, "aot_graphs_effects")
+annotation_log = getArtifactLogger(__name__, "annotation")
 
 
 def strict_zip(*iterables, strict=True, **kwargs):
@@ -443,6 +445,10 @@ def _copy_metadata_to_bw_nodes_in_subgraph(
 ) -> None:
     """Copy metadata from forward nodes to backward nodes in a single subgraph."""
     for node in fx_g.graph.nodes:
+        annotation_log.debug("node: %s", node.name)
+        seq_nr = node.meta.get("seq_nr")
+        annotation_log.debug("seq_nr: %s", seq_nr)
+
         if not _is_backward_node_with_seq_nr(node):
             continue
 
@@ -478,6 +484,10 @@ def copy_fwd_metadata_to_bw_nodes(fx_g: torch.fx.GraphModule) -> None:
         if isinstance(submod, torch.fx.GraphModule):
             _collect_fwd_nodes_from_subgraph(submod, fwd_seq_nr_to_node)
 
+    if annotation_log.isEnabledFor(logging.DEBUG):
+        for k, v in fwd_seq_nr_to_node.items():
+            annotation_log.debug("forward:: key: %s, value: %s", k, v)
+
     # Second pass: copy metadata to backward nodes in all subgraphs
     # using the global forward mapping
     for submod in fx_g.modules():
diff --git a/torch/_logging/_registrations.py b/torch/_logging/_registrations.py
index 3c6f092ed4d..162ad53a63c 100644
--- a/torch/_logging/_registrations.py
+++ b/torch/_logging/_registrations.py
@@ -246,4 +246,9 @@ register_artifact(
     "Logs debug info for hierarchical compilation",
     off_by_default=True,
 )
+register_artifact(
+    "annotation",
+    "Logs detailed steps of the creating annotation on graph nodes",
+    off_by_default=True,
+)
 register_artifact("custom_format_test_artifact", "Testing only", log_format="")
diff --git a/torch/fx/proxy.py b/torch/fx/proxy.py
index 8979dcbabaf..9b359d78d6d 100644
--- a/torch/fx/proxy.py
+++ b/torch/fx/proxy.py
@@ -17,6 +17,7 @@ from typing import Any, Optional
 import torch
 import torch.fx.traceback as fx_traceback
 from torch._C import _fx_map_aggregate as map_aggregate, _fx_map_arg as map_arg
+from torch._logging import getArtifactLogger
 from torch.utils._traceback import CapturedTraceback
 
 from ._compatibility import compatibility
@@ -40,6 +41,7 @@ __all__ = [
 
 
 log = logging.getLogger(__name__)
+annotation_log = getArtifactLogger(__name__, "annotation")
 
 
 @compatibility(is_backward_compatible=False)
@@ -202,7 +204,9 @@ class TracerBase:
             # BWD pass we retrieve the sequence_nr stored on the current
             # executing autograd Node. See NOTE [ Sequence Number ].
             if current_meta.get("in_grad_fn", 0) > 0:
+                annotation_log.debug("seq_nr from current_meta")
                 new_seq_nr = current_meta["grad_fn_seq_nr"][-1]
+            annotation_log.debug("Assigning new_seq_nr %s to %s", new_seq_nr, node.name)
             node.meta["seq_nr"] = new_seq_nr
 
         elif self.module_stack: