Add patent pending notice (KR + PCT)

README.md

@@ -19,6 +19,12 @@ ArtifactNet detects AI-generated music by extracting forensic residual artifacts
 > revenue-generating activity. Research, academic, and personal evaluation use are welcome.
 > For commercial licensing, contact: **unohee.official@gmail.com**
 
+> 🛡️ **Patent Pending (KR + PCT)**
+> The bounded-mask residual extraction and codec-invariant training methods used in
+> ArtifactNet are covered by pending patent applications. Use of the ONNX build under
+> CC BY-NC 4.0 grants no patent license; commercial deployment requires both a
+> commercial license and a patent license (contact above for both).
+
 > ℹ️ **What is released**
 > A pre-compiled, end-to-end **ONNX inference build** of the full pipeline (STFT → UNet →
 > HPSS → 7-channel CNN → sigmoid). Raw PyTorch weights, training code, and training data
@@ -95,3 +101,12 @@ prohibited** without prior written permission. This includes (but is not limited
 - Attempting to extract weights for derivative commercial models
 
 For commercial licensing inquiries: **unohee.official@gmail.com**
+
+### Patent Notice
+
+Patent applications covering the core methods of ArtifactNet are pending in Korea (KR)
+and via the Patent Cooperation Treaty (PCT). The CC BY-NC 4.0 license on this ONNX
+inference build does **not** convey any patent rights. Commercial use, even under a
+commercial copyright license, requires a separate patent license. Academic and
+research use within the scope of CC BY-NC 4.0 is permitted without separate patent
+license, consistent with standard research-use exemptions.