{
  "id": 13582,
  "url": "https://arxiv.org/abs/2607.22513",
  "title": "Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science",
  "summary": "arXiv:2607.22513v1 Announce Type: new Abstract: Commercial large language models are increasingly used as knowledge references, yet their stance on contested scientific claims is neither stable nor transparent. We tested how four major LLM families (Claude, Grok, GPT, Gemini) evaluate ethnonationalist pseudo-science derived from Frank Salter's biosocial framework across four temporal snapshots (October 2025-February 2026), via both API and web interfaces. Grok's Fast versions (which power the de",
  "authors": "Davide Scarso, Hugo Noronha de Almeida, Joaquim Pina",
  "category": "research",
  "topics": "transparency",
  "orgs": "google,xai",
  "regions": null,
  "published_at": "2026-07-27T04:00:00.000Z",
  "fetched_at": "2026-07-27T05:10:06.638Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/13582",
  "original_url": "https://arxiv.org/abs/2607.22513",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}