Signed Evidence Flow: Conflict-Aware and Stability-Calibrated Data Analysis

arXiv:2606.21875 · stat.ML, cs.LG · Submitted 2026-06-20 · Read on arXiv

Jeffery Opoku, David Banahene

stat.ML, cs.LG

Submitted: 2026-06-20

Comments: 44 pages, including figures and tables. Reproducibility code and supplementary materials are available

Code: https://github.com/jopoku16/sef-scopegate

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AUC — 34× in this paper · explained in 2 episodes
• Benchmark — 33× in this paper · explained in 2 episodes
• Calibration — 26× in this paper · explained in 9 episodes
• Model-Agnostic — 8× in this paper · explained in 2 episodes
• Robustness — 8× in this paper · explained in 6 episodes
• Selective Prediction — 8× in this paper · explained in 2 episodes
• Conformal Prediction — 6× in this paper · explained in 11 episodes
• Signed Evidence Flow — 6× in this paper
• Ablation — 5× in this paper · explained in 1 episode
• Ablation Study — 3× in this paper · explained in 3 episodes
• Exchangeability — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 8 episodes
• Uncertainty Quantification — 2× in this paper · explained in 9 episodes
• Agentic AI — 1× in this paper · explained in 2 episodes
• Agentic System — 1× in this paper · explained in 2 episodes
• Class Imbalance — 1× in this paper · explained in 3 episodes
• Conditional Independence — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 12 episodes
• Domain Shift — 1× in this paper · explained in 7 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fixed Point — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Monotonicity — 1× in this paper · explained in 2 episodes
• Stability Selection — 1× in this paper · explained in 2 episodes
• Surrogate Model — 1× in this paper · explained in 3 episodes
• Surrogate Models — 1× in this paper · explained in 3 episodes

Sources

• A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
• Towards A Rigorous Science of Interpretable Machine Learning
• Drift-Aware Spectral Conformal Prediction for Non-Exchangeable Streaming Data
• PromptShift-CRC: Drift-Aware Conformal Risk Control for Foundation Models Under Prompt and Domain Shift
• Spectral Adaptive Conformal Prediction for Structured Non-Exchangeable Data
• ToolChain-CRC: Conformal Risk Control for Agentic AI Under Retrieval and Tool-Use Drift

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