{
  "id": 14497,
  "url": "https://arxiv.org/abs/2607.23289v1",
  "title": "Continuous surrogates versus threshold Boolean networks for modeling Arabidopsis ISR gene regulation",
  "summary": "Gene regulatory network modeling often requires balancing predictive accuracy and mechanistic interpretability. In this work, we compare continuous surrogate models and a discrete mechanistic model on the same \\textit{Arabidopsis thaliana} induced systemic resistance (ISR) dataset, using both the raw continuous gene-expression measurements and their sign-binarized representation. The study considers eight defense-related genes measured over nine time points and evaluates two continuous predictor",
  "authors": "Gonzalo A. Ruz",
  "category": "research",
  "topics": "regulation,safety-alignment,military-security",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-25T16:57:09.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "source_slug": "arxiv-cslg",
  "source_name": "arXiv cs.LG",
  "source_homepage": "https://arxiv.org/list/cs.LG/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14497",
  "original_url": "https://arxiv.org/abs/2607.23289v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}