HIDEKI-SQ/Contamination-Induced-Failure: v1.0.0 — Submission release

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Authors: HIDEKI
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Abstract

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

Fields of Study & Subjects

Ethics and Social Impacts of AI Adversarial Robustness in Machine Learning Topic Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 March 2026
Language
EN