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   <text style="font-size: 7.5px; font-family: 'Helvetica Neue', 'Helvetica', 'Arial', 'Avenir Next', 'PingFang SC', 'Arial Unicode MS', 'DejaVu Sans', sans-serif; fill: #8e8e96" transform="translate(12.96 302.396719)">Laya numbers: official checkpoints (English, typed-decisions, multilingual) re-run by us on identical rows with their shipped temperatures and</text>
   <text style="font-size: 7.5px; font-family: 'Helvetica Neue', 'Helvetica', 'Arial', 'Avenir Next', 'PingFang SC', 'Arial Unicode MS', 'DejaVu Sans', sans-serif; fill: #8e8e96" transform="translate(12.96 314.158945)">default token budgets; the best of the three is shown per task. v3 trained on same-kind tasks from other datasets, never on these eval rows:</text>
   <text style="font-size: 7.5px; font-family: 'Helvetica Neue', 'Helvetica', 'Arial', 'Avenir Next', 'PingFang SC', 'Arial Unicode MS', 'DejaVu Sans', sans-serif; fill: #8e8e96" transform="translate(12.96 325.987969)">intent (CLINC150/HWU64; Banking77 never trained), jailbreak (other permissive sets + teacher), toxicity (civil_comments + teacher; toxic-chat</text>
   <text style="font-size: 7.5px; font-family: 'Helvetica Neue', 'Helvetica', 'Arial', 'Avenir Next', 'PingFang SC', 'Arial Unicode MS', 'DejaVu Sans', sans-serif; fill: #8e8e96" transform="translate(12.96 337.783594)">eval-only), routing (teacher-written; gsm8k/mbpp/AG rows eval-only), MASSIVE in 14 other locales (no MASSIVE rows in these 37).</text>
   <text style="font-size: 7.5px; font-family: 'Helvetica Neue', 'Helvetica', 'Arial', 'Avenir Next', 'PingFang SC', 'Arial Unicode MS', 'DejaVu Sans', sans-serif; fill: #8e8e96" transform="translate(12.96 349.579219)">n = 400 / 400 / 400 / 399 / 3,700 (37 x 100). Every gap's paired 95% bootstrap CI excludes zero. Plotted values: figures/beyond_laya.json.</text>
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