diff --git a/README.md b/README.md
index b3e6c6d..91dda4c 100644
--- a/README.md
+++ b/README.md
@@ -112,6 +112,25 @@ The initial adapter intentionally supports batch size one, greedy/sampling
 generation, and full-attention decoder models only. Beam search and models with
 sliding, chunked, or linear-attention layers fail explicitly.
 
+### Transformers checkpoint compatibility
+
+The adapter's compatibility boundary is recorded separately from performance
+or model-quality claims. A checkpoint is **verified** only when the real smoke
+test has been run and its raw result is checked into [`results/`](results/).
+
+| Status | Checkpoint or family | Evidence / boundary |
+| --- | --- | --- |
+| Verified | `Qwen/Qwen3-0.6B` | Real Transformers smoke result on Apple M4; see [`results/README.md`](results/README.md). |
+| Verified | `HuggingFaceTB/SmolLM2-135M` | Real full-attention decoder smoke result with two or more eviction rounds; see [`results/README.md`](results/README.md). |
+| Expected, not individually verified | Other decoder-only Transformers checkpoints with full attention, batch size one, and a compatible `Cache` interface | This is an adapter-shape expectation, not a compatibility guarantee. Run a smoke test before relying on a checkpoint. |
+| Unsupported | Sliding-window, chunked, linear, or other hybrid-attention layers | The adapter rejects these attention modes explicitly. |
+| Unsupported | Beam search and batched generation | The initial adapter supports batch size one only. |
+
+The **expected** row must not be read as a test result: model configuration,
+attention layout, and Transformers integration details can still differ between
+families. Compatibility evidence is deliberately kept separate from throughput
+and quality evaluation.
+
 Run a real-checkpoint smoke test (downloads the model from Hugging Face):
 
 ```bash
diff --git a/results/README.md b/results/README.md
index 1a9e10a..70fd70c 100644
--- a/results/README.md
+++ b/results/README.md
@@ -40,3 +40,23 @@ model-quality evaluation, and it does not validate the paper's throughput claim.
 Within schema v1, additive optional fields remain compatible. Removing or
 renaming fields, or changing their semantic meaning, requires a new schema
 version.
+
+## SmolLM2-135M on Windows CPU
+
+- Result: [`smollm2-135m-smoke.json`](smollm2-135m-smoke.json)
+- Model revision: `93efa2f097d58c2a74874c7e644dbc9b0cee75a2`
+- Environment: Windows 11, AMD64, Python 3.13.5, PyTorch 2.14.0+cpu,
+  Transformers 5.16.1
+- Hardware: 13th Gen Intel Core i7-13620H, 13.0 GB RAM
+- Device: CPU
+- Prompt tokens: 11
+- Generated tokens: 128
+- Persistent budget `K`: 64
+- Buffer `r`: 8
+- Eviction rounds: 9 per layer
+- Final physical cache: 73 positions per layer
+
+This smoke run verifies the Transformers adapter against the
+`HuggingFaceTB/SmolLM2-135M` full-attention decoder configuration. It records
+compatibility and eviction behavior only; it is not a throughput comparison,
+quality evaluation, or claim about the model family as a whole.
diff --git a/results/smollm2-135m-smoke.json b/results/smollm2-135m-smoke.json
new file mode 100644
index 0000000..bd4aa32
--- /dev/null
+++ b/results/smollm2-135m-smoke.json
@@ -0,0 +1,87 @@
+{
+  "model": "HuggingFaceTB/SmolLM2-135M",
+  "model_revision": "93efa2f097d58c2a74874c7e644dbc9b0cee75a2",
+  "device": "cpu",
+  "platform": "Windows-11-10.0.26200-SP0",
+  "machine": "AMD64",
+  "hardware": "13th Gen Intel Core i7-13620H; 13.0 GB RAM",
+  "python_version": "3.13.5",
+  "torch_version": "2.14.0+cpu",
+  "transformers_version": "5.16.1",
+  "prompt_tokens": 11,
+  "generated_tokens": 128,
+  "budget": 64,
+  "buffer_size": 8,
+  "seed": 0,
+  "elapsed_seconds": 4.05,
+  "tokens_per_second": 31.604,
+  "cache": {
+    "absolute_tokens_seen": 138,
+    "physical_tokens_per_layer": [
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73,
+      73
+    ],
+    "eviction_rounds_per_layer": [
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9,
+      9
+    ],
+    "head_evictions_total": 810,
+    "positions_evicted_total": 5850
+  }
+}