Organize research library and schemas

papers/spiral-information-geometry/sig-factor-tree.md

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+# SIG Factor Tree
+
+A SIG factor tree represents an agent or identity as a root node with branches that encode prime factors, attributes, and capabilities. The structure highlights how high-level intent decomposes into actionable, composable traits.
+
+## Structure
+
+- **Root (agent/identity):** The anchor of the tree, representing the worldline whose factors are being mapped.
+- **Branches (prime factors):** Core attributes such as mission, constraints, core capabilities, and ethical boundaries. Each branch can be tagged with weights or maturity levels.
+- **Leaves (concrete traits):** Specific skills, datasets, or controls that operationalize each factor. Leaves can point to datasets, models, or policy modules.
+
+## Mapping to SIG
+
+- **Angular placement:** Each branch aligns to an angle on the spiral, making categories visually separable.
+- **Radial layering:** Depth in the tree maps to radial distance; inner nodes are foundational, outer leaves are externally visible actions or artifacts.
+- **Composition:** Siblings can combine to form composite capabilities, enabling a readable map of how agents evolve.
+
+## Uses
+
+- **Agent identity graphs:** Provide a structured graph that links capabilities to an agent's PS-SHA∞ worldline.
+- **Capability composition:** Help orchestrators decide which capabilities to activate or quarantine when contradictions appear.
+- **Gap analysis:** Identify missing leaves or weak factors for targeted data collection or training.
+
+## TODOs
+
+- Define a serialization that aligns with `schemas/sig.schema.json` for automatic visualization.
+- Experiment with scoring factors to generate spiral coordinates for plotting.