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@@ -12,6 +12,33 @@ license: mit
 
 A Universal Method for Process Analysis
 
+## 📚 Prior Work & Research Contributions
+
+### Overview
+The Programming Framework represents **prior work** that demonstrates a novel methodology for analyzing complex processes by combining Large Language Models (LLMs) with visual flowchart representation. This research establishes a universal, domain-agnostic approach to process analysis that transforms textual descriptions into structured, interactive visualizations.
+
+### 🔬 Research Contributions
+- **Universal Process Analysis:** Domain-agnostic methodology applicable across biology, chemistry, software engineering, business processes, and more
+- **LLM-Powered Extraction:** Automated extraction of process steps, decision points, and logic flows using Google Gemini 2.0 Flash
+- **Structured Visualization:** Mermaid.js-based flowchart generation encoded as JSON for programmatic access and integration
+- **Iterative Refinement:** Systematic approach enabling continuous improvement through visualization and LLM-assisted refinement
+
+### ⚙️ Technical Achievements
+- **Meta-Tool Architecture:** Framework for creating specialized process analysis tools (demonstrated by GLMP)
+- **JSON-Based Storage:** Structured data format enabling version control, cross-referencing, and API integration
+- **Multi-Domain Application:** Successfully applied to biological processes (GLMP), with extensions planned for software, business, and engineering domains
+- **Integration Framework:** Designed for integration with knowledge engines, research databases, and collaborative platforms
+
+### 🎯 Position Within CopernicusAI Knowledge Engine
+The Programming Framework serves as the **foundational meta-tool** of the CopernicusAI Knowledge Engine, providing the underlying methodology that enables specialized applications:
+
+- **GLMP (Genome Logic Modeling Project)** - First specialized application demonstrating biological process visualization
+- **Copernicus AI** - Main knowledge engine integrating Framework outputs with AI podcasts and research synthesis
+- **Research Papers Metadata Database** - Planned integration for linking processes to source literature
+- **Science Video Database** - Potential integration for multi-modal process explanations
+
+This work establishes a proof-of-concept for AI-assisted process analysis, demonstrating how LLMs can systematically extract and visualize complex logic from textual sources across diverse domains.
+
 ## 🎯 Overview
 
 The Programming Framework is a **meta-tool**—a tool for creating tools. It provides a systematic method for analyzing any complex process by combining the analytical power of Large Language Models with the clarity of visual flowcharts.
@@ -81,11 +108,14 @@ Model physical processes, engineering systems, and experimental protocols with s
 - Research papers database
 - API endpoints for programmatic access
 
-## 📚 Publications
+### How to Cite This Work
+
+Welz, G. (2024–2025). *The Programming Framework: A Universal Method for Process Analysis*.
+Hugging Face Spaces. https://huggingface.co/spaces/garywelz/programming_framework
+
+This project serves as a foundational meta-tool for AI-assisted process analysis, enabling systematic extraction and visualization of complex logic from textual sources across diverse scientific and technical domains.
 
-- Welz, G. (2025). "The Programming Framework: A Universal Method for Process Analysis Using LLMs and Visual Flowcharts" - Foundational paper
-- Welz, G. (2025). "GLMP: Applying the Programming Framework to Biochemical Process Visualization" - Case study
-- Welz, G. (2025). "From Text to Logic: Automated Process Extraction with Large Language Models" - Technical deep-dive
+The Programming Framework is designed as infrastructure for AI-assisted science, providing a universal methodology that can be specialized for domain-specific applications.
 
 ## 🔗 Related Projects
 

index.html

@@ -35,6 +35,63 @@
         </div>
     </header>
 
+    <!-- Prior Work & Research Contributions -->
+    <section class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-12">
+        <div class="bg-gradient-to-r from-orange-50 to-yellow-50 rounded-xl shadow-lg p-8 mb-8">
+            <h2 class="text-3xl font-bold text-gray-900 mb-6">📚 Prior Work & Research Contributions</h2>
+            
+            <div class="bg-white rounded-lg p-6 mb-6">
+                <h3 class="text-xl font-semibold text-gray-900 mb-4">Overview</h3>
+                <p class="text-gray-700 mb-4">
+                    The Programming Framework represents <strong>prior work</strong> that demonstrates a novel methodology for analyzing complex processes by combining Large Language Models (LLMs) with visual flowchart representation. This research establishes a universal, domain-agnostic approach to process analysis that transforms textual descriptions into structured, interactive visualizations.
+                </p>
+            </div>
+
+            <div class="grid md:grid-cols-2 gap-6 mb-6">
+                <div class="bg-white rounded-lg p-6">
+                    <h3 class="text-lg font-semibold text-gray-900 mb-3">🔬 Research Contributions</h3>
+                    <ul class="text-sm text-gray-700 space-y-2">
+                        <li>• <strong>Universal Process Analysis:</strong> Domain-agnostic methodology applicable across multiple fields</li>
+                        <li>• <strong>LLM-Powered Extraction:</strong> Automated extraction using Google Gemini 2.0 Flash</li>
+                        <li>• <strong>Structured Visualization:</strong> Mermaid.js-based flowchart generation encoded as JSON</li>
+                        <li>• <strong>Iterative Refinement:</strong> Systematic approach enabling continuous improvement</li>
+                    </ul>
+                </div>
+                
+                <div class="bg-white rounded-lg p-6">
+                    <h3 class="text-lg font-semibold text-gray-900 mb-3">⚙️ Technical Achievements</h3>
+                    <ul class="text-sm text-gray-700 space-y-2">
+                        <li>• <strong>Meta-Tool Architecture:</strong> Framework for creating specialized analysis tools</li>
+                        <li>• <strong>JSON-Based Storage:</strong> Structured format enabling version control and API integration</li>
+                        <li>• <strong>Multi-Domain Application:</strong> Successfully applied to biological processes (GLMP)</li>
+                        <li>• <strong>Integration Framework:</strong> Designed for knowledge engines and collaborative platforms</li>
+                    </ul>
+                </div>
+            </div>
+
+            <div class="bg-white rounded-lg p-6">
+                <h3 class="text-lg font-semibold text-gray-900 mb-3">🎯 Position Within CopernicusAI Knowledge Engine</h3>
+                <p class="text-gray-700 mb-3">
+                    The Programming Framework serves as the <strong>foundational meta-tool</strong> of the CopernicusAI Knowledge Engine, providing the underlying methodology that enables specialized applications:
+                </p>
+                <div class="grid md:grid-cols-2 gap-4 text-sm mb-3">
+                    <ul class="text-gray-700 space-y-1">
+                        <li>• GLMP (Genome Logic Modeling Project)</li>
+                        <li>• Copernicus AI (main knowledge engine)</li>
+                        <li>• Research Papers Metadata Database</li>
+                    </ul>
+                    <ul class="text-gray-700 space-y-1">
+                        <li>• Science Video Database</li>
+                        <li>• Multi-domain process analysis</li>
+                    </ul>
+                </div>
+                <p class="text-gray-600 text-sm italic">
+                    This work establishes a proof-of-concept for AI-assisted process analysis, demonstrating how LLMs can systematically extract and visualize complex logic from textual sources across diverse domains.
+                </p>
+            </div>
+        </div>
+    </section>
+
     <!-- Key Stats -->
     <section class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 -mt-8">
         <div class="grid md:grid-cols-4 gap-4">
@@ -301,33 +358,6 @@
         </div>
     </section>
 
-    <!-- Publications -->
-    <section class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-8">
-        <div class="bg-white rounded-xl shadow-lg p-8">
-            <h2 class="text-3xl font-bold text-gray-900 mb-6">📚 Publications & Papers</h2>
-            
-            <div class="space-y-4">
-                <div class="border-l-4 border-orange-500 pl-4 py-2">
-                    <h3 class="font-semibold text-gray-900">Welz, G. (2025)</h3>
-                    <p class="text-gray-700">"The Programming Framework: A Universal Method for Process Analysis Using LLMs and Visual Flowcharts"</p>
-                    <p class="text-sm text-gray-500 mt-1">Foundational paper introducing the framework methodology</p>
-                </div>
-
-                <div class="border-l-4 border-green-500 pl-4 py-2">
-                    <h3 class="font-semibold text-gray-900">Welz, G. (2025)</h3>
-                    <p class="text-gray-700">"GLMP: Applying the Programming Framework to Biochemical Process Visualization"</p>
-                    <p class="text-sm text-gray-500 mt-1">Case study: genome logic modeling in biology</p>
-                </div>
-
-                <div class="border-l-4 border-blue-500 pl-4 py-2">
-                    <h3 class="font-semibold text-gray-900">Welz, G. (2025)</h3>
-                    <p class="text-gray-700">"From Text to Logic: Automated Process Extraction with Large Language Models"</p>
-                    <p class="text-sm text-gray-500 mt-1">Technical deep-dive into LLM prompting strategies</p>
-                </div>
-            </div>
-        </div>
-    </section>
-
     <!-- Related Projects -->
     <section class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-8">
         <h2 class="text-3xl font-bold text-gray-900 mb-6 text-center">🔗 Related Projects</h2>
@@ -361,6 +391,27 @@
         </div>
     </section>
 
+    <!-- How to Cite This Work -->
+    <section class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-8">
+        <div class="bg-white rounded-xl shadow-lg p-8">
+            <h2 class="text-3xl font-bold text-gray-900 mb-6">How to Cite This Work</h2>
+            <div class="bg-gray-50 rounded-lg p-6 mb-4">
+                <p class="text-gray-800 font-mono text-lg leading-relaxed mb-4">
+                    Welz, G. (2024–2025). <em>The Programming Framework: A Universal Method for Process Analysis</em>.<br>
+                    Hugging Face Spaces. https://huggingface.co/spaces/garywelz/programming_framework
+                </p>
+            </div>
+            <div class="bg-orange-50 rounded-lg p-4">
+                <p class="text-gray-700 mb-2">
+                    This project serves as a foundational meta-tool for AI-assisted process analysis, enabling systematic extraction and visualization of complex logic from textual sources across diverse scientific and technical domains.
+                </p>
+                <p class="text-gray-700 font-semibold">
+                    The Programming Framework is designed as infrastructure for AI-assisted science, providing a universal methodology that can be specialized for domain-specific applications.
+                </p>
+            </div>
+        </div>
+    </section>
+
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