Clarify: ONNX inference build only, raw weights not released

README.md

@@ -15,10 +15,17 @@ pipeline_tag: audio-classification
 ArtifactNet detects AI-generated music by extracting forensic residual artifacts via a task-specific UNet, rather than learning generator-specific patterns. This approach generalizes across 22 AI music generators with only 4.2M parameters.
 
 > ⚠️ **License: CC BY-NC 4.0 — Non-Commercial Only**
-> This model and its weights may not be used for any commercial product, service, API, or
+> This ONNX inference build may not be used for any commercial product, service, API, or
 > revenue-generating activity. Research, academic, and personal evaluation use are welcome.
 > For commercial licensing, contact: **unohee.official@gmail.com**
 
+> 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
+> are **not** publicly released. This is a deliberate scope limitation — the released
+> binary is sufficient to reproduce inference numbers reported in our paper, but does
+> not enable fine-tuning or weight extraction.
+
 ## Model Description
 
 - **Architecture**: ArtifactUNet (3.6M) + 7ch HPSS Forensic CNN (424K) = 4.2M total
@@ -47,7 +54,7 @@ import onnxruntime as ort
 import numpy as np
 import soundfile as sf
 
-# Load model
+# Load ONNX inference build
 sess = ort.InferenceSession("artifactnet_v94_full.onnx")
 
 # Load audio (44.1kHz mono, 4-second chunk)
@@ -82,9 +89,9 @@ Evaluate with [ArtifactBench v1](https://huggingface.co/datasets/intrect/artifac
 **CC BY-NC 4.0** — Free for academic, research, and personal use. **Commercial use is
 prohibited** without prior written permission. This includes (but is not limited to):
 
-- Selling access to the model or its outputs
+- Selling access to the ONNX build or its outputs
 - Integrating into commercial products, SaaS, or APIs
 - Using the model to generate revenue, directly or indirectly
-- Training derivative commercial models on these weights
+- Attempting to extract weights for derivative commercial models
 
 For commercial licensing inquiries: **unohee.official@gmail.com**