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Card: state corpus provenance and what is released

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@@ -126,7 +126,13 @@ characters it introduces, where the training corpus abandons 0.0%.
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  The corpus is synthetic, generated by two teacher models: **ALLaM 2.7B** (75%) and
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  **Qwen3.6-27B** (25%), with quality gates rejecting foreign characters and template
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- openings.
 
 
 
 
 
 
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  ---
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@@ -148,7 +154,8 @@ Capacity buys coherence, not vocabulary.
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  ## Paper
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  <!-- TODO: arXiv link on release -->
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- *In preparation.* Corpus, metrics, checkpoints and every measurement are released.
 
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  ```bibtex
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  @misc{binsafi2026ruqlm,
 
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  The corpus is synthetic, generated by two teacher models: **ALLaM 2.7B** (75%) and
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  **Qwen3.6-27B** (25%), with quality gates rejecting foreign characters and template
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+ openings. Both teachers are Apache-2.0.
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+
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+ The generated stories are **not redistributed**: they were produced through a
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+ commercial inference API whose terms restrict building redistributable databases
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+ from model output. What is released instead is the *generator* — seed space, prompt
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+ templates, quality gates and sampling procedure. Generation is deterministic given a
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+ seed, so the corpus is reproducible from what is published.
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  ---
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  ## Paper
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  <!-- TODO: arXiv link on release -->
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+ *In preparation.* Metrics, checkpoints, tokenizer, generation seeds and every
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+ measurement are released.
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  ```bibtex
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  @misc{binsafi2026ruqlm,