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(ACL 2026 Main) LLMSurgeon recovers the pretraining data mixture of any LLM from only its generated text — no weights, no training data. A calibrated domain classifier plus label-shift correction de-blurs biased predictions. Ships with LLMScan, a benchmark on 8 open-source LLMs.
Notation as an unrecorded pre-training variable: the paper, the instruments, the corpus census, the reader/writer studies, and the pure-frame format. E. M. Freeburg, 2026.