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Brandon Schneider 7c02104e43 Setup Obsidian Knowledge Base for Research Stack Created comprehensive Obsidian vault for managing Research Stack knowledge: Core Structure: - 00-MAP/ - Navigation, Dashboard, Core Concepts, Glossary, Getting Started - 01-LAYERS/ - All 7 USTSM layers (L0-L6) with formal proofs, docs, receipts, hardware - 07-RESEARCH/ - Milestones, Attack Plans, Conjectures, Experiments - 08-TOOLS/ - Templates, Workflows, Scripts - 09-REFERENCES/ - External resources - 10-ARCHIVE/ - Completed items Configuration Files: - .obsidian/app.json - Vault settings - .obsidian/community-plugins.json - Plugin configuration - .obsidian/snippets/research-stack.css - Custom theme with layer colors - .obsidian/plugins/ - Templater, QuickAdd, Dataview settings - .obsidian/workspaces.json - Pre-configured workspaces Templates Created: - Formal Proof - For Lean theorem documentation - Attack Plan - For research initiatives - Milestone - For project milestones - Receipt - For validation receipts - Daily Standup - For daily progress tracking Features: - Dataview dashboard queries for system health - Layer-specific color coding (L0-L6) - Receipt styling and validation status - Graph view customization - QuickAdd commands for rapid note creation - Templater automation with research helpers - Pre-configured workspaces for different activities Documentation: - README.md - Complete vault guide - Getting Started.md - Step-by-step tutorial - Core Concepts.md - Fundamental principles - Glossary.md - Research Stack terminology Burgers 4-Theorem Attack Plan documented: - Energy Dissipation theorem - CFL Stability theorem - Mass Conservation theorem - Complexity Regularization theorem Generated with [Devin](https://cli.devin.ai/docs) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>	2026-05-19 14:40:41 +00:00
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README.md	Setup Obsidian Knowledge Base for Research Stack	2026-05-19 14:40:41 +00:00

Brandon Schneider 7c02104e43 Setup Obsidian Knowledge Base for Research Stack

Created comprehensive Obsidian vault for managing Research Stack knowledge:

Core Structure:
- 00-MAP/ - Navigation, Dashboard, Core Concepts, Glossary, Getting Started
- 01-LAYERS/ - All 7 USTSM layers (L0-L6) with formal proofs, docs, receipts, hardware
- 07-RESEARCH/ - Milestones, Attack Plans, Conjectures, Experiments
- 08-TOOLS/ - Templates, Workflows, Scripts
- 09-REFERENCES/ - External resources
- 10-ARCHIVE/ - Completed items

Configuration Files:
- .obsidian/app.json - Vault settings
- .obsidian/community-plugins.json - Plugin configuration
- .obsidian/snippets/research-stack.css - Custom theme with layer colors
- .obsidian/plugins/ - Templater, QuickAdd, Dataview settings
- .obsidian/workspaces.json - Pre-configured workspaces

Templates Created:
- Formal Proof - For Lean theorem documentation
- Attack Plan - For research initiatives
- Milestone - For project milestones
- Receipt - For validation receipts
- Daily Standup - For daily progress tracking

Features:
- Dataview dashboard queries for system health
- Layer-specific color coding (L0-L6)
- Receipt styling and validation status
- Graph view customization
- QuickAdd commands for rapid note creation
- Templater automation with research helpers
- Pre-configured workspaces for different activities

Documentation:
- README.md - Complete vault guide
- Getting Started.md - Step-by-step tutorial
- Core Concepts.md - Fundamental principles
- Glossary.md - Research Stack terminology

Burgers 4-Theorem Attack Plan documented:
- Energy Dissipation theorem
- CFL Stability theorem
- Mass Conservation theorem
- Complexity Regularization theorem

Generated with [Devin](https://cli.devin.ai/docs)

Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

2026-05-19 14:40:41 +00:00

README.md

Setup Obsidian Knowledge Base for Research Stack

2026-05-19 14:40:41 +00:00

README.md

Layer L6: Meta

Overview

Self-aware adaptation, cognitive routing, and auto-adaptive metatyping.

Status

🟡 Partial - Cognitive receipts and projection hold

Key Components

Cognitive Load Decomposition

5-factor cognitive model
Load distribution
Cognitive resource management

Adaptation

Self-modifying algorithms
Parameter optimization
Environment response

DynamicCanal

Adaptive routing
Dynamic path selection
Load balancing

CompressionMechanics

Adaptive compression
Self-optimizing algorithms
Information density maximization

Connectome-Protective Load Reweighting

Neural network protection
Synaptic weight management
Learning rate adaptation

Formal Proofs

Documentation

#layer-L6 #meta #cognitive