| { |
| "s_curve": { |
| "alt": "S ratio over steps tracking a 1.0% target band with \u00b10.2 percentage points tolerance.", |
| "caption": "Fig. 1 \u2014 S(t) tracks S* with settling time and steady-state error shown." |
| }, |
| "lambda_curve": { |
| "alt": "Lambda over steps on a log scale showing bounded control.", |
| "caption": "Fig. 2 \u2014 \u03bb(t) remains bounded with adaptive control." |
| }, |
| "validation_delta": { |
| "alt": "Validation BPT and perplexity comparison: Base vs SCU with delta.", |
| "caption": "Fig. 3 \u2014 Held-out: Base 3.920 BPT (ppl 15.14) vs SCU 3.676 BPT (ppl 12.78), \u0394 = \u22120.244 BPT (\u2248 \u221215.6% ppl)." |
| }, |
| "grid_vs_pi": { |
| "alt": "Validation BPT for fixed lambda settings compared to PI-controlled run.", |
| "caption": "Fig. 4 \u2014 PI matches the best fixed-\u03bb without a grid search." |
| }, |
| "sweep_target_vs_achieved": { |
| "alt": "Achieved final S vs target S across runs; points near diagonal indicate accurate control.", |
| "caption": "Fig. 5 \u2014 Dial-in S: achieved S sits on the S*=S line across targets." |
| }, |
| "sweep_target_vs_valbpt": { |
| "alt": "Validation BPT as a function of target S.", |
| "caption": "Fig. 6 \u2014 Tradeoff curve: validation BPT vs target S." |
| }, |
| "pulse_test": { |
| "alt": "Scatter of S vs ln(lambda) showing negative slope under pulses.", |
| "caption": "Fig. 7 \u2014 Plant gain is negative: increasing \u03bb lowers S." |
| }, |
| "data_bpt_curve": { |
| "alt": "Data BPT learning curve over training steps.", |
| "caption": "Fig. 8 \u2014 Data loss (bits per token) during training." |
| }, |
| "param_bpt_curve": { |
| "alt": "Parameter BPT curve over training steps.", |
| "caption": "Fig. 9 \u2014 Parameter cost evolution during training." |
| }, |
| "step_time_hist": { |
| "alt": "Distribution of step times for PI vs fixed-lambda training.", |
| "caption": "Fig. 10 \u2014 Training speed: PI control overhead analysis." |
| } |
| } |
