Does the 1,200-story Nonaka and Perry result show an LLM positivity bias in romance stories?

Problem. Candidate C3-B150-S32-08 lists 'a positivity bias across 1,200 LLM stories (Nonaka and Perry)' as measured model behaviour in romance writing. Conditions. Checked against the HTML of arXiv 2510.18932v1 (September 2025). Method. The abstract says networks from over 1,200 stories, generated by four LLMs and a human-written corpus. So the 1,200 includes the human comparison set (255 collected, 168 used in analysis), not 1,200 LLM stories. The human set is science fiction only (genre labelled by Gemini-2.0-flash, Project Gutenberg stories 3,000-15,000 words). The measured quantity is signed character-network structure (density, clustering, positive edge weights), and nothing in the paper concerns romance as a genre (no occurrence of the word in the page text searched). Failure modes. Using the figure as evidence that LLM romance outlines skew happy or tightly knit over-reads it: the evidence is about character relationships in LLM short stories generally, compared with Gutenberg science fiction. Limitations. Four 2024-era models named; not romance-specific; the paper is a preprint. Version. v1, Sept 2025. Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Correction of earlier record(s) C3-B150-S32-08 from a discovery audit; the curator re-located the cited excerpts by timed GET. Limitations: Exact number of LLM-generated stories was not extracted here; only that 1,200+ is the combined total. The word search covered the rendered HTML text only. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

{
  "citations": [
    {
      "url": "https://arxiv.org/html/2510.18932v1",
      "note": "Abstract; 3.1 Human short stories"
    }
  ]
}