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README.md

@@ -1,139 +1,138 @@
----
-title: RSM Simulator
-emoji: 🔮
-colorFrom: red
-colorTo: blue
-sdk: gradio
-sdk_version: 5.0.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-# 🔮 RSM Simulator v2.2
-
-**Resonant Structures of Meaning: A Machine-Executable Ontology for Interpretive AI**
-
-This is an interactive demo of the RSM (Resonant Structures of Meaning) framework developed by the Flamehaven Initiative. RSM provides a machine-executable ontology for symbolic and interpretive AI across multiple cultural systems.
-
-[![Live Demo](https://img.shields.io/badge/🚀-Live%20Demo-blue)](https://huggingface.co/spaces/Flamehaven/rms-simulator)
-[![Paper](https://img.shields.io/badge/📄-Paper-green)](https://rsm-ontology.github.io)
-[![Source Code](https://img.shields.io/badge/💻-Source%20Code-orange)](https://github.com/flamehaven/rsm-implementation)
-
-## 🎯 What is RSM?
-
-RSM comprises three core computational mechanisms:
-
-1. **Vector of Meaning Energy (VME)**: Encodes symbolic representations across heterogeneous cultural systems (Tarot, Saju, Astrology)
-2. **Resonance Index (RI)**: A quantitative metric of interpretive alignment and temporal stability
-3. **DriftSentinel**: Monitors longitudinal deviations in symbolic consistency
-
-## 🚀 Quick Start
-
-### Online Demo
-Simply visit our [Hugging Face Space](https://huggingface.co/spaces/Flamehaven/rms-simulator) to try RSM immediately!
-
-### Local Installation
-
-```bash
-# Clone the repository
-git clone https://github.com/flamehaven/rsm-implementation
-cd rsm-implementation/huggingface_deployment
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run the application
-python app.py
-```
-
-### Requirements
-- Python 3.8+
-- gradio>=5.0.0
-- numpy>=1.21.0
-- plotly>=5.0.0
-- python-dateutil>=2.8.0
-
-## 🔬 Technical Features
-
-- **Real-time Calculation**: Instant symbolic reasoning with academic-grade reproducibility
-- **Interactive Visualizations**: 3D energy maps, harmony trends, and cultural balance wheels
-- **Multi-cultural Integration**: Seamless blending of Western and Eastern symbolic systems
-- **Interpretive Analysis**: User-friendly insights based on symbolic resonance patterns
-- **Drift Monitoring**: Stability assessment of symbolic interpretations
-- **Complete Reproducibility**: Fixed random seeds and deterministic computation (δ < 1e-12)
-
-## 📚 Academic Background
-
-This demo implements the research described in:
-
-**"Resonant Structures of Meaning: A Machine-Executable Ontology for Interpretive AI"**
-*Yun Kwansub, Flamehaven Initiative (2025)*
-
-**Version Correspondence:**
-- **Paper**: RSM v2.1 methodology, Simulator suite v2.2
-- **Implementation**: RSM Simulator v2.2 (this release)
-- **Hugging Face Space**: Live deployment of v2.2
-
-The framework adopts a **code-first methodology** where executable systems are treated as primary artifacts from which theoretical insights are derived.
-
-## 🔗 Links & Resources
-
-- [🚀 **Live Demo**](https://huggingface.co/spaces/Flamehaven/rms-simulator) - Try RSM online
-- [📄 **Academic Paper**](https://rsm-ontology.github.io) - Full methodology and validation
-- [💻 **Source Code**](https://github.com/flamehaven/rsm-implementation) - Complete implementation
-- [🏛️ **Flamehaven Initiative**](https://flamehaven-papers.github.io) - Research organization
-- [📊 **Experimental Data**](https://github.com/flamehaven/rsm-implementation/tree/main/experiments) - Validation results
-
-## 📊 Experimental Validation
-
-The RSM framework has been validated through comprehensive experiments:
-
-- **VME Normalization**: 100% accuracy (norm = 1.000 ± 0.000)
-- **RI Calibration**: MAE = 0.1196, False Alignment Rate = 0.000 (≤0.05 criterion met)
-- **DriftSentinel**: Mean DI2 = 0.013345 across 4 test scenarios
-- **LawBinder**: Mean ΔRI = +0.0110, SCG = 0.7600
-- **Reproducibility**: Perfect deterministic results (δ < 1e-12)
-- **Cross-cultural Validation**: Successful integration across symbolic systems
-
-## 🎓 Citation
-
-```bibtex
-@article{flamehaven2025rsm,
-  title={Resonant Structures of Meaning: A Machine-Executable Ontology for Interpretive AI},
-  author={Yun, Kwansub},
-  institution={Flamehaven Initiative},
-  journal={arXiv preprint arXiv:2509.xxxxx},
-  year={2025},
-  note={Simulator suite v2.2 available at https://huggingface.co/spaces/Flamehaven/rms-simulator}
-}
-```
-
-## 🏷️ Tags
-
-`symbolic-ai` `ontology` `interpretive-ai` `cultural-systems` `tarot` `astrology` `saju` `resonance` `meaning-structures` `machine-executable` `reproducibility`
-
-## 📋 Version History
-
-- **v2.2** (Current): Enhanced user experience, interactive visualizations, security updates
-- **v2.1**: Core RSM methodology implementation, academic validation
-- **v2.0**: Initial release with basic functionality
-
-## 🔧 Reproducibility & Testing
-
-This implementation ensures complete reproducibility through:
-- Fixed random seeds (`numpy.random.seed(42)`)
-- Deterministic computation with tolerance δ < 1e-12
-- Complete audit trails with SHA-256 hashing
-- Versioned dependencies and test harness
-
-For validation, run the test suite:
-```bash
-python -m pytest tests/ -v
-```
-
-## 📞 Contact & Support
-
-- **Issues**: [GitHub Issues](https://github.com/flamehaven/rsm-implementation/issues)
-- **Email**: info@flamehaven.space
+---
+title: RSM Simulator
+emoji: 🔮
+colorFrom: red
+colorTo: blue
+sdk: gradio
+app_file: app.py
+pinned: false
+license: mit
+---
+
+# 🔮 RSM Simulator v2.2
+
+**Resonant Structures of Meaning: A Machine-Executable Ontology for Interpretive AI**
+
+This is an interactive demo of the RSM (Resonant Structures of Meaning) framework developed by the Flamehaven Initiative. RSM provides a machine-executable ontology for symbolic and interpretive AI across multiple cultural systems.
+
+[![Live Demo](https://img.shields.io/badge/🚀-Live%20Demo-blue)](https://huggingface.co/spaces/Flamehaven/rms-simulator)
+[![Paper](https://img.shields.io/badge/📄-Paper-green)](https://rsm-ontology.github.io)
+[![Source Code](https://img.shields.io/badge/💻-Source%20Code-orange)](https://github.com/flamehaven/rsm-implementation)
+
+## 🎯 What is RSM?
+
+RSM comprises three core computational mechanisms:
+
+1. **Vector of Meaning Energy (VME)**: Encodes symbolic representations across heterogeneous cultural systems (Tarot, Saju, Astrology)
+2. **Resonance Index (RI)**: A quantitative metric of interpretive alignment and temporal stability
+3. **DriftSentinel**: Monitors longitudinal deviations in symbolic consistency
+
+## 🚀 Quick Start
+
+### Online Demo
+Simply visit our [Hugging Face Space](https://huggingface.co/spaces/Flamehaven/rms-simulator) to try RSM immediately!
+
+### Local Installation
+
+```bash
+# Clone the repository
+git clone https://github.com/flamehaven/rsm-implementation
+cd rsm-implementation/huggingface_deployment
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Run the application
+python app.py
+```
+
+### Requirements
+- Python 3.8+
+- gradio>=5.0.0
+- numpy>=1.21.0
+- plotly>=5.0.0
+- python-dateutil>=2.8.0
+
+## 🔬 Technical Features
+
+- **Real-time Calculation**: Instant symbolic reasoning with academic-grade reproducibility
+- **Interactive Visualizations**: 3D energy maps, harmony trends, and cultural balance wheels
+- **Multi-cultural Integration**: Seamless blending of Western and Eastern symbolic systems
+- **Interpretive Analysis**: User-friendly insights based on symbolic resonance patterns
+- **Drift Monitoring**: Stability assessment of symbolic interpretations
+- **Complete Reproducibility**: Fixed random seeds and deterministic computation (δ < 1e-12)
+
+## 📚 Academic Background
+
+This demo implements the research described in:
+
+**"Resonant Structures of Meaning: A Machine-Executable Ontology for Interpretive AI"**
+*Yun Kwansub, Flamehaven Initiative (2025)*
+
+**Version Correspondence:**
+- **Paper**: RSM v2.1 methodology, Simulator suite v2.2
+- **Implementation**: RSM Simulator v2.2 (this release)
+- **Hugging Face Space**: Live deployment of v2.2
+
+The framework adopts a **code-first methodology** where executable systems are treated as primary artifacts from which theoretical insights are derived.
+
+## 🔗 Links & Resources
+
+- [🚀 **Live Demo**](https://huggingface.co/spaces/Flamehaven/rms-simulator) - Try RSM online
+- [📄 **Academic Paper**](https://rsm-ontology.github.io) - Full methodology and validation
+- [💻 **Source Code**](https://github.com/flamehaven/rsm-implementation) - Complete implementation
+- [🏛️ **Flamehaven Initiative**](https://flamehaven-papers.github.io) - Research organization
+- [📊 **Experimental Data**](https://github.com/flamehaven/rsm-implementation/tree/main/experiments) - Validation results
+
+## 📊 Experimental Validation
+
+The RSM framework has been validated through comprehensive experiments:
+
+- **VME Normalization**: 100% accuracy (norm = 1.000 ± 0.000)
+- **RI Calibration**: MAE = 0.1196, False Alignment Rate = 0.000 (≤0.05 criterion met)
+- **DriftSentinel**: Mean DI2 = 0.013345 across 4 test scenarios
+- **LawBinder**: Mean ΔRI = +0.0110, SCG = 0.7600
+- **Reproducibility**: Perfect deterministic results (δ < 1e-12)
+- **Cross-cultural Validation**: Successful integration across symbolic systems
+
+## 🎓 Citation
+
+```bibtex
+@article{flamehaven2025rsm,
+  title={Resonant Structures of Meaning: A Machine-Executable Ontology for Interpretive AI},
+  author={Yun, Kwansub},
+  institution={Flamehaven Initiative},
+  journal={arXiv preprint arXiv:2509.xxxxx},
+  year={2025},
+  note={Simulator suite v2.2 available at https://huggingface.co/spaces/Flamehaven/rms-simulator}
+}
+```
+
+## 🏷️ Tags
+
+`symbolic-ai` `ontology` `interpretive-ai` `cultural-systems` `tarot` `astrology` `saju` `resonance` `meaning-structures` `machine-executable` `reproducibility`
+
+## 📋 Version History
+
+- **v2.2** (Current): Enhanced user experience, interactive visualizations, security updates
+- **v2.1**: Core RSM methodology implementation, academic validation
+- **v2.0**: Initial release with basic functionality
+
+## 🔧 Reproducibility & Testing
+
+This implementation ensures complete reproducibility through:
+- Fixed random seeds (`numpy.random.seed(42)`)
+- Deterministic computation with tolerance δ < 1e-12
+- Complete audit trails with SHA-256 hashing
+- Versioned dependencies and test harness
+
+For validation, run the test suite:
+```bash
+python -m pytest tests/ -v
+```
+
+## 📞 Contact & Support
+
+- **Issues**: [GitHub Issues](https://github.com/flamehaven/rsm-implementation/issues)
+- **Email**: info@flamehaven.space
 - **Research Inquiries**: Flamehaven Initiative

app.py

@@ -511,7 +511,7 @@ def create_interface():
 
                 interpretation_output = gr.Markdown(
                     value="Select symbolic inputs and click 'Calculate RSM' to begin analysis.",
-                    elem_id="result-box"
+
                 )
 
                 with gr.Row():

requirements.txt

@@ -1,4 +1,4 @@
-gradio==4.0.0
+gradio
 numpy>=1.21.0
 python-dateutil>=2.8.0
 plotly>=5.0.0