Preprint
Sep 2026
Technical Manual for Toolkit for Confidence-Corpus Consistency, Corpus Absorption and Rule Learning via Fine-Tuning on a Fabricated Corpus
This manual documents version 2.0 of an open toolkit for fine-tuning small causal language models on fabricated and rule-governed arithmetic corpora and measuring what they take up from them, and describes and justifies each stage of the pipeline.
José Luciano Verçosa Marques, Frederico Jorge Heitmann, Daniel Omar Perez et al.
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