{
  "id": 6516,
  "url": "https://arxiv.org/abs/2604.08591v2",
  "title": "From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales",
  "summary": "Hallucinations in large ASR models present a critical safety risk. In this work, we propose the \\textit{Spectral Sensitivity Theorem}, which predicts a phase transition in deep networks from a dispersive regime (signal decay) to an attractor regime (rank-1 collapse) governed by layer-wise gain and alignment. We validate this theory by analyzing the eigenspectra of activation graphs in Whisper models (Tiny to Large-v3-Turbo) under adversarial stress. Our results confirm the theoretical prediction",
  "authors": "Ivan Viakhirev, Kirill Borodin, Grach Mkrtchian",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-31T22:17:30.000Z",
  "fetched_at": "2026-07-14T16:32:33.101Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6516",
  "original_url": "https://arxiv.org/abs/2604.08591v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}