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Evidence record 593 · automatically gathered

Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning Tasks

Warm-started diffusion samplers accelerate iterative inference, but it is rarely clear which part of the pipeline carries the gain. We study \textbf{retrieval-warmed energy-based reasoning (RW-EBR)} -- an IRED energy-based diffusion model \cite{du2024ired} augmented with a Modern Hopfield trajectory memory -- and contribute a \textbf{five-arm ablation methodology} (oracle, best-constant, per-query-random, shuffled, aligned) that separates three confounded effects: class-prior bias shift, stochas

Record details

Published: 25 June 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Environment
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (25 June 2026), “Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning Tasks,” evidence record 593, https://ethics.ai/record/593 (originally published by arXiv).

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