{
  "abstract": "Continual agents must handle urgent interaction while retaining alternatives, replaying errors, and committing safe long-term changes. A previous digital-life framework distinguishes online (busy) and offline (idle) channels, but leaves open whether these are separate programs or phases of a common process and how their operations should be ordered. Motivated by recent observations of rapidly alternating perceptual representations in primate cortex, we develop a temporal organization layer with phase-tagged micro-epochs, an observable duty cycle, independent content and resource controls, and three nested clocks separating candidate exploration from durable commitment. We give a projected duty-cycle update, state its deterministic descent guarantee and the additional noise term required for a stochastic guarantee, and specify coupled busy/idle execution contracts. Five synthetic experiments (64 seeds each) examine descent and noise, objective misalignment, gain asymmetry, resource coupling, and dropped replay logs. In the gain/noise model the best tested gain ratio is 1.55; decoupled scheduling yields 26.6% versus 11.1% success on a constructed urgent/high-load subset. A frozen-backbone Qwen3-8B prototype further checks orchestration, but its proxy outcomes are not task-benchmark evidence. The results establish a testable scheduling design and identify its conditions of validity, not machine consciousness or general-purpose agent superiority.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2611.06603",
  "author_total": 4,
  "authors": [
    {
      "name": "Haibin Tong"
    },
    {
      "name": "Luming Guo"
    },
    {
      "name": "Nana Cui"
    },
    {
      "name": "Jiang Yu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/c1zk0k4mtvmwt.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2611.06603",
  "fulltext_url": null,
  "id": "c1zk0k4mtvmwt",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2611.06603",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.AI"
    ],
    [
      "arxiv",
      "q-bio.NC"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2611.06603",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-04",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/c1zk0k4mtvmwt.ris",
  "sources": [
    {
      "first_seen": "2026-11-05T15:21:01Z",
      "native_id": "2611.06603",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2611.06603"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "arxiv:q-bio.NC",
      "subfield": "neuroscience"
    }
  ],
  "title": "Time-Division Multiplexing: The Operational Rhythm and Temporal Organization Layer of Digital Life",
  "title_text": "Time-Division Multiplexing: The Operational Rhythm and Temporal Organization Layer of Digital Life",
  "type": "preprint",
  "updated_at": "2026-11-09T00:20:31Z",
  "url": "https://research.draconitic.com/paper/c1zk0k4mtvmwt",
  "venue": "arXiv",
  "versions": []
}