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Model card: chance baselines and DI skill per Knowledge & Reasoning benchmark; HLE stays at chance; ChessBench truncation

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@@ -92,22 +92,31 @@ the always-think gain while thinking on 48 % of the questions. Thinking length:
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  The area's benchmarks run through the server (`POST /v1/decide`, `thinking: "auto"`, threshold 0.8, budget 8,192 thinking
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  tokens), scored with the Decision Index kit. Eight of the ten benchmarks were run to completion:
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- | benchmark | metric | System 1 | **adaptive** | questions that thought |
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- |---|---|---:|---:|---:|
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- | GPQA Diamond | accuracy | 42.9 | **78.6** | 87 % |
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- | CRUXEval | accuracy | 67.5 | **90.7** | 42 % |
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- | CLadder | accuracy | 71.0 | **86.6** | 51 % |
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- | HLE | accuracy | 8.4 | **17.8** | 88 % |
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- | GSM8K | accuracy | 97.6 | **99.1** | 5 % |
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- | SATA-Bench | case exact accuracy | 34.2 | **35.5** | 21 % |
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- | MuSR | accuracy | 67.3 | **67.6** | 51 % |
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- | ChessBench | accuracy | 23.7 | 23.6 | 88 % |
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- | MMLU-Pro (first 1,611 of 12,032 questions) | accuracy | 59.2 | **80.1** | 68 % |
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- | BBH | accuracy | 75.2 | not run | — |
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-
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- Scores in %. The Knowledge & Reasoning area skill rises from 0.430 to **0.551** with eight of ten benchmarks adaptive
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- (MMLU-Pro and BBH counted with System 1). Thinking helps most on science, code and causal questions; chess does not
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- benefit.
 
 
 
 
 
 
 
 
 
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  ### Latency
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@@ -321,8 +330,9 @@ were chosen on data outside the Decision Index suite.
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  ## Limitations
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- * Where the teacher is wrong, System 1 often is too; adaptive thinking helps most on math, logic and multi-step
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- questions, and can slightly lower accuracy on commonsense questions (CommonsenseQA 86.7 → 85.0).
 
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  * Thinking is slow on hard inputs: on expert-level and chess questions it often uses the full 8,192-token budget, and
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  the adaptive mode does not meet the Decision Index latency limit on the Knowledge & Reasoning benchmarks.
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  * The Decision Index score above combines adaptive runs of eight Knowledge & Reasoning benchmarks with System 1 runs of
 
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  The area's benchmarks run through the server (`POST /v1/decide`, `thinking: "auto"`, threshold 0.8, budget 8,192 thinking
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  tokens), scored with the Decision Index kit. Eight of the ten benchmarks were run to completion:
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+ | benchmark | chance | System 1 | **adaptive** | DI skill, System 1 → adaptive | questions that thought |
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+ |---|---:|---:|---:|---:|---:|
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+ | GPQA Diamond | 25.0 | 42.9 | **78.6** | 0.238 → **0.714** | 87 % |
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+ | CRUXEval | 37.0 | 67.5 | **90.7** | 0.485 → **0.853** | 42 % |
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+ | CLadder | 50.0 | 71.0 | **86.6** | 0.420 → **0.732** | 51 % |
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+ | GSM8K | 25.0 | 97.6 | **99.1** | 0.969 → 0.989 | 5 % |
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+ | SATA-Bench (case exact) | 1.3 | 34.2 | 35.5 | 0.334 → 0.346 | 21 % |
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+ | MuSR | 37.1 | 67.3 | 67.6 | 0.480 → 0.484 | 51 % |
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+ | ChessBench | 8.2 | 23.7 | 23.6 | 0.169 → 0.168 | 88 % |
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+ | HLE | 16.4 | 8.4 | 17.8 | 0.000 → 0.016 | 88 % |
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+ | MMLU-Pro (first 1,611 of 12,032 questions) | 11.1 | 59.2 | **80.1** | counted with System 1 | 68 % |
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+ | BBH | 31.0 | 75.2 | not run | counted with System 1 | — |
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+
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+ Accuracy in %; "chance" is the kit's random baseline, and the Decision Index skill rescales accuracy so that chance is
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+ 0 (below chance counts as 0). The Knowledge & Reasoning area skill rises from 0.430 to **0.551** with eight of ten
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+ benchmarks adaptive (MMLU-Pro and BBH counted with System 1).
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+
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+ * **Real gains** on science, code and causal reasoning: GPQA Diamond, CRUXEval and CLadder.
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+ * **HLE only returns to chance.** System 1 is below chance (8.4 % against 16.4 %), and the questions where it is confident
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+ enough not to think are almost all wrong (1.6 %). Thinking brings HLE to 17.8 %, the level of guessing, so its skill
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+ stays near 0.
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+ * **Chess does not benefit.** Two thirds of the ChessBench thoughts hit the 8,192-token budget; the answer read from a
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+ truncated thought is no better than System 1 (17.0 % against 17.7 % on those questions), while finished thoughts gain
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+ a little (19.8 % → 22.7 %). Answers read from truncated thoughts are also over-confident, so the equal mix does not
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+ damp them.
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  ### Latency
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  ## Limitations
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+ * Where the teacher is wrong, System 1 often is too, and it can be confidently wrong: on HLE the questions it answers
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+ without thinking are 1.6 % correct. Adaptive thinking helps most on science, code, math and logic, does not help on
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+ chess or expert-level HLE questions, and can slightly lower accuracy on commonsense questions (CommonsenseQA 86.7 → 85.0).
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  * Thinking is slow on hard inputs: on expert-level and chess questions it often uses the full 8,192-token budget, and
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  the adaptive mode does not meet the Decision Index latency limit on the Knowledge & Reasoning benchmarks.
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  * The Decision Index score above combines adaptive runs of eight Knowledge & Reasoning benchmarks with System 1 runs of