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blackroad-os-research/docs/research-overview.md
2025-11-24 16:35:50 +00:00

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Research Overview

Welcome to the BlackRoad OS Research Lab 🧪🧠

This repository serves as the R&D hub for BlackRoad OS, containing theory, experiments, and conceptual foundations that inform production implementations.

📁 Repository Structure

Core Directories

  • /papers - Research papers and theoretical foundations

    • Text-based research (Markdown, LaTeX)
    • Organized by domain (SIG, QLM, agents, PS-SHA∞, etc.)
    • Each paper should include: abstract, motivation, definitions, and links to experiments
  • /notebooks - Jupyter notebooks and exploratory scripts

    • sig/ - Spiral Information Geometry explorations
    • qlm/ - Quantum Language Model experiments
    • orchestration/ - Orchestration strategy prototypes
    • Each notebook should start with a header cell explaining purpose and dependencies
  • /experiments - Structured experiment folders

    • Use format: domain/experiment-YYYY-MM-DD-name/
    • Each experiment must include:
      • README.md (what, why, how, results, next steps)
      • config.json or config.yaml (parameters)
      • results/ (summaries, small plots, findings)
  • /src - Reusable research utilities (NOT production code)

    • Geometry helpers
    • Metrics and evaluation tools
    • Model wrappers
    • Must be typed and documented
  • /data - Metadata and references only

    • NO large datasets in the repo
    • Document external data sources in data/README.md
    • Only small samples or synthetic data
  • /schemas - JSON Schemas for core concepts

  • /glossary - Canonical definitions and symbol tables

  • /meta - Repository-level documentation and conventions

🎯 What Belongs Here

YES:

  • Theoretical papers and conceptual models
  • Experimental prototypes and simulations
  • Research notebooks with analysis
  • Schemas and formal specifications
  • Glossaries and reference materials
  • Small synthetic datasets

NO:

  • Production API implementations
  • Live services or web UIs
  • Large datasets or binaries
  • Secrets or API keys
  • Messy, unstructured dumps

📝 Adding New Research

Adding a Paper

  1. Create a new file in /papers/{domain}/
  2. Use frontmatter with: title, date, status, tags, version
  3. Include: abstract, motivation, definitions, related work
  4. Link to supporting experiments and notebooks
  5. Add entry to /index.md

Adding an Experiment

  1. Create folder: /experiments/{domain}/experiment-{date}-{name}/
  2. Add README.md answering:
    • What question are we exploring?
    • What setup/data/models were used?
    • What metrics did we track?
    • What did we learn?
    • What should we try next?
  3. Include config.json with parameters
  4. Store results in results/ subdirectory
  5. Reference from related papers

Adding a Notebook

  1. Create in /notebooks/{domain}/
  2. Start with header cell explaining:
    • Purpose
    • Dependencies
    • Data sources
  3. Use small datasets or samples
  4. Avoid committing large outputs
  5. Reference from experiments or papers

🔗 Cross-Repository Relationships

This repository informs but does not directly implement:

  • blackroad-os-core - Types and core contracts inspired by research
  • blackroad-os-operator - Orchestration strategies tested here
  • blackroad-os-docs - User-facing documentation of concepts

Use text references, not code dependencies.

Pre-Commit Checklist

Before committing:

  • Files are text-based (no huge binaries)
  • New experiments have clear README and config
  • Notebooks have explanatory headers
  • No secrets, API keys, or private data
  • Research code is typed and documented
  • Papers and experiments are cross-linked

🧭 Need Help?

  • See /docs/experiment-template.md for experiment structure
  • See /docs/notebook-style-guide.md for notebook conventions
  • Check /index.md for a curated research map
  • Review /glossary/concepts.md for standard definitions