From Hallucination to Reliability: Generative Modeling and the Structure of Scientific Inference

arXiv:2504.08526 · cs.CY, cs.AI · Submitted 2025-04-11 · Read on arXiv

cs.CY, cs.AI

Submitted: 2025-04-11

Updated: 2026-08-26

Terminology

Hallucination — 89× in this paper · explained in 4 episodes
Generative AI — 32× in this paper · explained in 2 episodes
Generative Model — 26× in this paper · explained in 2 episodes
Generative Models — 24× in this paper · explained in 3 episodes
Diffusion Model — 11× in this paper · explained in 8 episodes
Diffusion Models — 9× in this paper · explained in 6 episodes
Loss Function — 5× in this paper · explained in 2 episodes
Score Function — 5× in this paper · explained in 4 episodes
Fidelity — 4× in this paper · explained in 2 episodes
Accuracy — 3× in this paper · explained in 1 episode
Calibration — 3× in this paper · explained in 7 episodes
Conservation Laws — 3× in this paper · explained in 3 episodes
Generative Modeling — 3× in this paper · explained in 3 episodes
Physical Constraints — 3× in this paper · explained in 7 episodes
Protein Data Bank — 3× in this paper
Scaffolding — 3× in this paper · explained in 3 episodes
Consistency — 2× in this paper · explained in 3 episodes
Core — 2× in this paper · explained in 2 episodes
Data Assimilation — 2× in this paper · explained in 2 episodes
European Centre for Medium-Range Weather Forecasts — 2× in this paper
Generalization — 2× in this paper · explained in 13 episodes
Verification — 2× in this paper · explained in 2 episodes
Abstraction — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Diffusion Processes — 1× in this paper · explained in 2 episodes
Distillation — 1× in this paper · explained in 2 episodes
Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
Hallucination Detection — 1× in this paper · explained in 2 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Latent Representation — 1× in this paper · explained in 2 episodes
Latent Representations — 1× in this paper · explained in 3 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Phase Transitions — 1× in this paper · explained in 2 episodes
Predicted Local Distance Difference Test — 1× in this paper
Representation Learning — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Scaling Laws — 1× in this paper · explained in 4 episodes
Systematic Bias — 1× in this paper · explained in 3 episodes
Trace — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes
Uncertainty Quantification — 1× in this paper · explained in 8 episodes
Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

LLMs Will Always Hallucinate, and We Need to Live With This

Terminology

Sources

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