CRP-3.1: Figures and Diagrams — COMPLETE

CRP-3.1: Figures and Diagrams — COMPLETE

## Summary
Created 5 new TikZ/pgfplots figures and added cross-references throughout the paper. All figures compile with pdflatex (no external image files). Total: 6 figures in the paper (1 existing + 5 new).

Figures Created

### 1. Architecture Overview (existing, improved references)
- Label: `fig:architecture` (already existed)
- Location: Section 3.1 (System Overview)
- Content: Query pipeline: parallel retrieval layers → decomposition routing → context assembly → LLM generation

### 2. Performance Comparison Bar Chart (NEW)
- Label: `fig:perf-comparison`
- Location: Section 4.2 (Main Results), after Table 3
- Content: Grouped bar chart comparing Cog-RLM (3B stock) vs fine-tuned (12B) across all 10 dimensions
- Key visual: Blue bars at 79-100

### 3. Radar/Spider Chart (NEW)
- Label: `fig:radar`
- Location: Section 4.2 (Main Results), after bar chart
- Content: 10-axis radar with two polygons: pass rate (blue, solid) and average score (orange, dashed)
- Key visual: Gap between pass rate and avg score reveals partial-credit clustering

### 4. Latency Distribution Chart (NEW)
- Label: `fig:latency`
- Location: Section 4.3 (RLM Decomposition Analysis), after Table 4
- Content: Per-dimension latency bars sorted by response time, with reference lines for selective mean (4.3s) and always-on estimate (8.2s)
- Key visual: 3x latency gradient from simple recall (2s) to complex generalization (6.8s)

### 5. Ablation Contribution Stacked Bar Chart (NEW)
- Label: `fig:ablation`
- Location: Section 4.4 (Ablation Study), after Table 5
- Content: Stacked bars showing cumulative contribution: fine-tuning (red) → RAG (blue) → Graph (green) → RLM (yellow)
- Key visual: RAG dominates at +66

### 6. Knowledge Graph Topology Visualization (NEW)
- Label: `fig:kg-topology`
- Location: Section 3.3 (Knowledge Layer 3), full-width figure
- Content: 25-node graph with typed nodes (person/project/machine/service/concept), hub-and-spoke layout centered on Mo, Tailscale connecting machines, Comp-Core connecting services
- Key visual: Shows why BFS to depth 2 captures relationship chains

## Cross-References Added
- Section 3.3: "hub-and-spoke structure (Figure~[ref: fig:kg-topology])"
- Section 4.2: "achieve 100
- Section 4.2: "radar profile (Figure~[ref: fig:radar])"
- Section 4.2: "6.1--6.8 seconds (Figure~[ref: fig:latency])"
- Section 4.4: "ablations ... (Figure~[ref: fig:ablation])"

## Compilation
- Compiler: pdflatex (3 passes, all clean)
- Warnings: 0
- Undefined references: 0
- Output: 22 pages, 353KB PDF
- No external image files — all figures are inline TikZ/pgfplots

## Technical Details
- All figures use `\columnwidth` sizing (except KG topology which uses `figure*` for `\textwidth`)
- NeurIPS-compatible figure placement (`[t]` float specifier)
- pgfplots v1.18, tikzlibraries: shapes, arrows, positioning, fit, calc
- Color scheme: blue (Cog-RLM/primary), red (fine-tuned baselines), orange (secondary metrics), green/yellow (components), teal (latency), purple/gray (graph node types)