# VISR Paper Blueprints: The Academic Output Architecture ## 🏗️ Framework Architecture The VISR framework produces academic papers through structured components that fit together in a cohesive architecture. This document defines the **computational products** - the specific outputs and structures that make up a complete academic paper. ## 📋 Core Output Components ### 📌 Final Paper Components |Component|Purpose|Length|Output Quality Metrics| |---|---|---|---| |Title|Capture research focus|10-15 words|Clarity, specificity, impact| |Abstract|Summarize key contributions|250 words|Completeness, precision, appeal| |🗣️😲 Introduction|Establish context and approach|750 words|Problem clarity, solution framing, roadmap| |🗣️📜 Literature Review|Position within scholarly context|1000-1500 words|Depth, relevance, critical analysis| |🛣️ Methodology|Detail theoretical approach|750-1000 words|Rigor, justification, clarity| |📈 Results/Applications|Present practical implications|1000-1500 words|Evidence quality, relevance, impact| |💭 Discussion|Analyze implications|750-1000 words|Insight depth, contribution clarity| |🏁 Conclusion|Summarize contributions|250-500 words|Synthesis, future directions| ### 🗄️ Orchestrating Tables #### 1. 🗄️🥁 Table 1: Paper Structure (Orchestration Table) |Format|Purpose|Output Quality Metrics| |---|---|---| |Section-purpose matrix|Orchestrate paper structure|Logical flow, completeness, balance| **Template:** ``` | Section | Purpose | Key Arguments | Visualization Placement | |---------|---------|--------------|------------------------| | [Section name] | [Section purpose] | [1-2 main points] | [Diagram placement] | ``` **Example:** ``` | 🗣️😲 Introduction | Frame problem and solution | 1. Resource constraints in experimentation | - | | 🗣️📜 Literature Review | Review statistical approaches | 1. Limitations of frequentist methods | Diagram 1 | ``` #### 2. 🗄️👥 Table 2: Theory Comparison Table |Format|Purpose|Output Quality Metrics| |---|---|---| |Dimension-comparison matrix|Compare new vs old approaches|Clarity, specificity, practical relevance| **Template:** ``` | Dimension | Old Approach | New Approach | Practical Improvement | |-----------|--------------|--------------|----------------------| | [Key dimension] | [Current limitation] | [Theoretical innovation] | [Practical benefit] | ``` **Example:** ``` | Statistical Foundation | Frequentist requiring large samples | Bayesian leveraging prior information | 60% fewer experiments needed | | Uncertainty Handling | Binary hypothesis testing | Decomposition into error components | More nuanced decision guidance | ``` #### 3. 🗄️🤜 Table 3: TradeOff Table (Practice Analysis) |Format|Purpose|Output Quality Metrics| |---|---|---| |Decision-options matrix|Analyze practical tradeoffs|Decision clarity, context specificity, actionable guidance| **Template:** ``` | Decision Point | Approach 1 | Approach 2 | Contextual Factors | Optimal Conditions | |----------------|------------|------------|-------------------|-------------------| | [Key decision] | [Option details] | [Option details] | [Influencing factors] | [When to choose each] | ``` **Example:** ``` | Experiment Design | "Learn then earn" sequencing | "Learn and earn simultaneously" | Resource constraints, uncertainty level | A1: High uncertainty; A2: Resource constraints | ``` ### 📊 Visualization Framework #### 🖼️💜💚 Figure 1: Need-Solution Mapping |Format|Purpose|Output Quality Metrics| |---|---|---| |Theory-problem visualization|Connect solution to need|Visual clarity, theoretical justification, connection strength| **Required Elements:** - 💜 Purple component representing the need/problem - 💚 Green component representing the theoretical solution - 👁️ Visioning element connecting problem to solution - 🧠 Sensemaking element showing theoretical advantage - Numbered arrows showing relationships #### 🖼️🔴(💜💚) Figure 2: Application Visualization |Format|Purpose|Output Quality Metrics| |---|---|---| |Implementation flowchart|Demonstrate practical application|Usability, process clarity, audience relevance| **Required Elements:** - 🛠️ Implementation process steps - 📊 Trade-off visualization with decision points - 👤 User application scenarios - 🔄 Process flow showing practical steps - 🔴 Output showing benefits and adoption criteria ## 🔄 Component Relationships The components relate to each other in a structured architecture: 1. **Title & Abstract** derive from all components, providing a concise summary 2. **Introduction** builds on 🗄️👥 Table 2 and 🖼️💜💚 Figure 1 3. **Literature Review** expands 🗄️👥 Table 2 into comprehensive analysis 4. **Methodology** derives from 🗄️🤜 Table 3 and theoretical foundations 5. **Results/Applications** implements 🗄️🤜 Table 3 and 🖼️🔴 Figure 2 6. **Discussion & Conclusion** integrate insights from all components ## 📏 Paper Section Specifications ### 🗣️😲 Introduction (750 words) **Structure:** 1. Problem statement (2-3 paragraphs) - Clear statement of the research problem - Significance in scholarly and practical contexts - Implications of unresolved problem 2. Limitations of existing approaches (2-3 paragraphs) - Overview of current approaches - Specific limitations derived from 🗄️👥 Table 2 - Gap analysis showing research opportunity 3. Proposed solution (2-3 paragraphs) - Overview of new approach - Theoretical advantages from 🗄️👥 Table 2 - Visual support from 🖼️💜💚 Figure 1 4. Paper roadmap (1 paragraph) - Section-by-section overview based on 🗄️🥁 Table 1 - Preview of key contributions - Reading guidance for different audience segments **Quality Metrics:** - Clear problem framing with practical and theoretical significance - Compelling case for research gap - Accessible explanation of proposed solution - Logical structure with clear section preview ### Abstract (250 words) **Structure:** 1. Goal statement (1-2 sentences) - Clear need-solution pairing - Research domain and context 2. Solution approach (3-4 sentences) - How solution addresses need - Theoretical foundation - Key innovations 3. Validation (2-3 sentences) - Evidence types - Key findings - Practical implications 4. Contribution (1-2 sentences) - Scholarly significance - Practical value **Quality Metrics:** - Complete coverage of paper content - Clear problem-solution framing - Balanced theoretical and practical emphasis - Compelling significance statement ## 📊 Quality Control Rubric Each paper component can be evaluated using the following criteria: |Component|Clarity (1-5)|Rigor (1-5)|Relevance (1-5)|Integration (1-5)|Audience-Fit (1-5)| |---|---|---|---|---|---| |Title|||||| |Abstract|||||| |Introduction|||||| |Literature Review|||||| |Methodology|||||| |Results|||||| |Discussion|||||| |Conclusion|||||| |Tables|||||| |Figures|||||| ## 📥 Input Requirements For complete paper generation, the following inputs are required: 1. **🥅 Goal**: Clear need-solution pairing ``` 💜 Need: [Problem statement] 💚 Solution: [Theoretical approach] ``` 2. **🗄️🥁 Table 1**: Paper structure outline - Minimum required: 5 sections with purpose and key arguments for each - Complete version: All sections with visualization placements 3. **🗄️👥 Table 2**: Theory comparison table - Minimum required: 3 dimensions with old/new approaches and improvements - Complete version: 5+ dimensions with quantified improvements 4. **🗄️🤜 Table 3**: Practice tradeoff table - Minimum required: 2 decision points with approaches and contextual factors - Complete version: 3+ decision points with optimal conditions 5. **🖼️💜💚 Figure 1**: Need-solution visualization - Minimum required: Basic representation of need and solution - Complete version: All required elements with numbered relationships 6. **🖼️🔴 Figure 2**: Application visualization - Minimum required: Implementation steps and user scenarios - Complete version: All required elements with decision points ### Supply-Demand Minimum Requirements |Component|Supply Requirement|Demand Requirement| |---|---|---| |Theory|Scholarly gap identification|Theoretical innovation addressing gap| |Practice|Real-world application context|Practical implementation guidelines| |Audience|Target audience description|Audience adaptation strategy| |🗄️🥁 Table 1|Section list with purposes|Complete orchestration with arguments| |🗄️👥 Table 2|Dimensions with old/new approaches|Practical improvements for each dimension| |🗄️🤜 Table 3|Decision points with options|Contextual factors and optimal conditions| |🖼️ Figures|Core visual representations|Integration with paper narrative| ## 📤 Output Deliverables The complete academic paper will include: 1. Title and Abstract 2. Introduction (including problem statement, limitations, proposed solution, paper roadmap) 3. Literature Review 4. Methodology/Approach 5. Results/Applications 6. Discussion 7. Conclusion 8. References This document serves as the definitive specification for the computational products (outputs) of the VISR framework. It defines what should be produced, while the companion document "VISR Transformation Process" defines how to produce these outputs.