Initial public release accompanying the submission of "Backfire Phase Structure in Contaminated Chain-of-Thought Reasoning." Contents Raw trial data for all experiments (E1, E1b, E1aug, E3, diagnostic) Merged n=100 dataset with 95% Wilson confidence intervals Experiment notebooks (Google Colab) Analysis script for merging and computing CIF/GAF Figures (PDF vector format) Experiments | Experiment | Description | Trials | |------------|-------------|--------| | E1 | 3 consumer models × 3 domains × 5 conditions × 50 problems | ~2,250 | | E1b | 2 additional consumer models (same protocol) | ~1,500 | | E1aug | All 5 models on new problem set (indices 50-99) | ~3,750 | | E3 | Social compliance battery (5 models) | ~1,000 | | E1aug_diag | Prompt sensitivity diagnostic (GPT-4o-mini × GSM8K) | ~150 | Key results (merged n=100) CIF rates: 1.1% (Sonnet 4, BoolQ) to 85.5% (GPT-3.5, CSQA) Gap amplification factor: up to 57× (BoolQ) Sycophancy dissociation confirmed across all domains