{
  "id": 15876,
  "url": "https://arxiv.org/abs/2608.02302v1",
  "title": "Trajectories That Segment Themselves: Agent-Declared Boundaries as a Training Unit",
  "summary": "Long-horizon coding-agent trajectories are poorly matched to the credit units available to train on: a single action has no stable value, an episode label merges productive exploration with abandoned directions, and a fixed window cuts where the logging mechanics fall. We introduce collection-time semantic self-segmentation, in which a declarative contract has the acting agent expose its own boundaries while the trajectory is generated. Instantiated with falsifiable causal hypotheses, successive",
  "authors": "Jingxi Wei",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-03T14:27:58.000Z",
  "fetched_at": "2026-08-04T05:10:21.797Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/15876",
  "original_url": "https://arxiv.org/abs/2608.02302v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}