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paper.md
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@@ -18,12 +18,18 @@ generators (GPT-4o, Gemini 2.5, Groq Llama, Cerebras Llama).
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We release the full calibration corpus, evaluation harness, regression test
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suite, and a 300-sample held-out adversarial corpus produced via
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cross-model single-pass paraphrasing.
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The contribution of this work is **field-leading reproducibility**, not
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state-of-the-art absolute AUROC. Anyone can clone the repository, run the
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Our headline numbers, reproducible end-to-end on Hetzner CX43-class hardware
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($25/month) within 90 minutes:
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- **English ensemble OOD AUROC: 0.
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- **Russian ensemble OOD AUROC: 0.
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- **English ensemble adversarial AUROC: 0.984** on 300-sample paraphrase-paired set
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- **English ensemble p50 latency: 1.2 seconds** (8-core CPU, no GPU)
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The first three numbers are competitive with the best peer-reviewed
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commercial figures while remaining honestly reported on OOD and adversarial
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evaluations. The fourth—latency—was achieved by removing Binoculars from
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We release the full calibration corpus, evaluation harness, regression test
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suite, and a 300-sample held-out adversarial corpus produced via
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cross-model single-pass paraphrasing.
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**Headline numbers — v1.11 ensemble on 176-sample expanded smoke battery
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(2026-04-29 measurement):** AUROC **0.864 (English)** and **0.846
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(Russian)**, with English Wrong-rate of 4% and median latency of 1.2
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seconds on commodity 8-vCPU hardware. Earlier 44-text hand-curated
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smoke (v1.0 paper measurement) reported 0.821 EN / 0.837 RU; the
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4× expanded battery with proper class balance per (lang, genre) cell
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stabilized the numbers upward.
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On the 300-sample adversarial paired set, ensemble AUROC reaches
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**0.985** (in-distribution human baseline).
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The contribution of this work is **field-leading reproducibility**, not
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state-of-the-art absolute AUROC. Anyone can clone the repository, run the
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Our headline numbers, reproducible end-to-end on Hetzner CX43-class hardware
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($25/month) within 90 minutes:
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- **English ensemble OOD AUROC: 0.864** (176-sample expanded smoke, 2026-04-29)
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- **Russian ensemble OOD AUROC: 0.846** (176-sample expanded smoke, 2026-04-29)
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- **English ensemble adversarial AUROC: 0.984** on 300-sample paraphrase-paired set
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- **English ensemble p50 latency: 1.2 seconds** (8-core CPU, no GPU)
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Earlier v1.0 paper reported 0.802/0.847 on the original 44-text smoke;
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the expanded 176-sample battery with class balance per (lang, genre) cell
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revealed that several "weak slots" at small n_h were sample-size noise,
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and stabilized values upward.
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The first three numbers are competitive with the best peer-reviewed
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commercial figures while remaining honestly reported on OOD and adversarial
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evaluations. The fourth—latency—was achieved by removing Binoculars from
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