# blackroad-os-research blackroad-os-research is the research and theory hub for BlackRoad OS. It contains conceptual papers, reference mappings, schemas, and experiments that inform the architecture of agents, journaling, and orchestration. For a curated map of the documents below, see [index.md](index.md). ## Repository Layout - **/sig**: Core Spiral Information Geometry (SIG) documents and spatial mappings for factors, agents, and attractors. - **/ps-sha-infinity**: Identity-first specifications for PS-SHA∞, including anchoring rules and hash ladders. - **/lucidia**: Architecture notes for the Generation-0 Conscious Agent Kernel and its mesh routing behaviors. - **/roadchain**: Ledger theory describing event journaling, block formation, and truth-step aggregation. - **/papers**: Conceptual writeups structured like internal papers that capture PS-SHA∞, Spiral Information Geometry (SIG), contradiction handling, finance automation, and related architectures. - **/library**: Structured JSON metadata catalogs for reference materials (such as external PDFs and notes) that the system depends on. - **/schemas**: JSON Schemas that define core conceptual structures such as PS-SHA∞ journal entries, SIG nodes, agent identity, and journal entry shapes. - **/experiments**: Lightweight prototype models and simulations for contradiction handling and SIG visualizations. - **/glossary**: Canonical definitions of key concepts and symbols for consistent usage across repos. ## How this Repo is Used by Other Repos - **blackroad-os-core** uses schemas to shape domain models for journaling, agent identity, and SIG mappings. - **blackroad-os-operator** consumes conceptual papers for contradiction handling, PS-SHA∞ semantics, and persistent agent identity guarantees. - **blackroad-os-docs** links to these resources for deeper dives and supporting references in public-facing explanations. ## Contributing Notes This repository prioritizes structured, text-based research artifacts. Experiments should stay lightweight and avoid heavyweight dependencies. Add TODOs where deeper math or formalization is needed.