{
  "id": 17764,
  "url": "https://arxiv.org/abs/2608.06968",
  "title": "Same physical state, different collective dynamics: state encodings select synchronization outcomes in language-model agents",
  "summary": "arXiv:2608.06968v1 Announce Type: cross Abstract: Language-model agents act on state encodings of their environment, yet these are treated as interchangeable interfaces. Using pretrained language models, we designed a circular-synchronization experiment applying a state-encoding intervention while holding the physical system fixed: each agent sees only a summary of its neighbours' relative phases and chooses to advance, stay or retard. Encoding that state as low-order circular moments rather tha",
  "authors": "Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T04:00:00.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "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/17764",
  "original_url": "https://arxiv.org/abs/2608.06968",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}