{
  "id": 18781,
  "url": "https://arxiv.org/abs/2608.11980v1",
  "title": "HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs",
  "summary": "Semantic-ID generative recommenders represent each item as a short sequence of discrete semantic tokens and predict the next item by autoregressively generating this token sequence. This paradigm enables a unified generation interface for item IDs, histories, and item text, but it also creates a structured optimization bottleneck during reward-based post-training: when an early semantic token enters the wrong branch of the item-token space, finite rollout groups rarely reach the ground-truth ite",
  "authors": "Kangning Zhang, Haotian Fang, Xukun Luo, Hao Yin, Yang Gao, Peng Yan et al.",
  "category": "research",
  "topics": null,
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T12:13:08.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18781",
  "original_url": "https://arxiv.org/abs/2608.11980v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}