# Figures Index

Generated by:

```bash
.venv/bin/python analysis/characterization/plot_current_results.py
```

| Figure | Intended Claim |
|---|---|
| [fig_full_trace_workload.png](figures/fig_full_trace_workload.png) | Full GLM-5.1 trace is long-input, short-output, and high input/output ratio. |
| [fig_session_skew.png](figures/fig_session_skew.png) | Session input-token mass is highly skewed; top sessions dominate work. |
| [fig_pdsep_vs_combined.png](figures/fig_pdsep_vs_combined.png) | Existing static PD-sep A/B regresses TTFT/E2E vs combined. |
| [fig_elastic_vs_baseline.png](figures/fig_elastic_vs_baseline.png) | Existing elastic transfer-based run does not improve TTFT/TPOT over high-contention baseline. |
| [fig_gpu_balance.png](figures/fig_gpu_balance.png) | Existing runs show GPU-util imbalance, but more data is needed for hot-spot causality. |
| [fig_claim_status.png](figures/fig_claim_status.png) | Current audit separates supported, partial, and unsupported claims. |

## Figure Previews

### Full Trace Workload

Full GLM-5.1 trace is long-input, short-output, and high input/output ratio.

![Full Trace Workload](figures/fig_full_trace_workload.png)

### Session Skew

Session input-token mass is highly skewed; top sessions dominate work.

![Session Skew](figures/fig_session_skew.png)

### PD-Sep vs Combined

Existing static PD-sep A/B regresses TTFT/E2E vs combined.

![PD-Sep vs Combined](figures/fig_pdsep_vs_combined.png)

### Elastic vs Baseline

Existing elastic transfer-based run does not improve TTFT/TPOT over high-contention baseline.

![Elastic vs Baseline](figures/fig_elastic_vs_baseline.png)

### GPU Balance

Existing runs show GPU-util imbalance, but more data is needed for hot-spot causality.

![GPU Balance](figures/fig_gpu_balance.png)

### Claim Status

Current audit separates supported, partial, and unsupported claims.

![Claim Status](figures/fig_claim_status.png)