diff --git a/tests/test_strategies.py b/tests/test_strategies.py
index c65a3f9..362eac1 100644
--- a/tests/test_strategies.py
+++ b/tests/test_strategies.py
@@ -2,8 +2,11 @@
 
 from __future__ import annotations
 
+from types import SimpleNamespace
+
 import pytest
 import torch
+import torch.nn as nn
 
 from obliteratus.strategies.base import AblationSpec
 from obliteratus.strategies.registry import STRATEGY_REGISTRY, get_strategy
@@ -51,6 +54,61 @@ def handle():
     return _make_dummy_handle()
 
 
+# ---------------------------------------------------------------------------
+# Architecture navigation
+# ---------------------------------------------------------------------------
+
+class _Qwen35MoeLayer(nn.Module):
+    def __init__(self, *, linear_attention: bool = False):
+        super().__init__()
+        if linear_attention:
+            self.linear_attn = nn.Module()
+        else:
+            self.self_attn = nn.Module()
+        self.mlp = nn.Module()
+
+
+class _Qwen35MoeModel(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.model = nn.Module()
+        self.model.layers = nn.ModuleList(
+            [_Qwen35MoeLayer(), _Qwen35MoeLayer(linear_attention=True)]
+        )
+
+
+def test_qwen35_moe_resolves_layer_attention_and_ffn_paths():
+    from obliteratus.models.loader import ModelHandle
+    from obliteratus.strategies.utils import (
+        get_attention_module,
+        get_ffn_module,
+        get_layer_modules,
+    )
+
+    model = _Qwen35MoeModel()
+    handle = ModelHandle(
+        model=model,
+        tokenizer=SimpleNamespace(pad_token="<pad>", eos_token="<eos>"),
+        config=SimpleNamespace(
+            model_type="qwen3_5_moe",
+            num_hidden_layers=2,
+            num_attention_heads=4,
+            hidden_size=8,
+            intermediate_size=32,
+        ),
+        model_name="Qwen/Qwen3.5-35B-A3B",
+        task="causal_lm",
+    )
+
+    layers = get_layer_modules(handle)
+
+    assert layers is model.model.layers
+    assert get_attention_module(layers[0], handle.architecture) is layers[0].self_attn
+    assert get_attention_module(layers[1], handle.architecture) is layers[1].linear_attn
+    assert get_ffn_module(layers[0], handle.architecture) is layers[0].mlp
+    assert get_ffn_module(layers[1], handle.architecture) is layers[1].mlp
+
+
 # ---------------------------------------------------------------------------
 # Registry tests
 # ---------------------------------------------------------------------------