{
  "id": 593,
  "url": "https://arxiv.org/abs/2606.26476v1",
  "title": "Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning Tasks",
  "summary": "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",
  "authors": "Libo Sun, Po-Wei Harn, Zewei Zhang, Peixiong He, Xiao Qin",
  "category": "research",
  "topics": "bias-fairness,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-25T00:28:08.000Z",
  "fetched_at": "2026-07-14T14:14:37.250Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/593",
  "original_url": "https://arxiv.org/abs/2606.26476v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}