{
  "annotation_id": "af9c4b54-d79c-421a-903b-9061349f05b6",
  "date_created": "2026-02-17T05:53:23.785000Z",
  "date_modified": "2026-02-17T05:53:23.785000Z",
  "file_hash": "6be1f012c8d6266c21d447da36695b92837858630bc53f943820bf7aa007a453",
  "private": false,
  "record": {
    "abstract": "Decision making often exhibits context dependence that challenges classical probability theory. While quantum cognition has successfully modeled such phenomena, it remains unclear whether quantum probability is merely a convenient assumption or a necessary consequence of decision dynamics. Here we present a theoretical framework in which contextuality arises generatively from physically grounded constraints on decision making. By developing a quantum extension of the Tug-of-War (TOW) model, we show that conservation-based internal state updates and measurement-induced disturbance preclude any non-contextual classical description with a single, unified internal state. Contextuality therefore emerges as a structural consequence of adaptive learning dynamics. We further show that the resulting measurement structure admits Klyachko-Can-Binicioglu-Shumovsky (KCBS)-type contextuality witnesses in a minimal single-system setting. These results indicate that quantum probability is not merely a descriptive convenience, but an unavoidable effective theory for adaptive decision dynamics.",
    "arxiv_id": "2601.10034",
    "authors": [
      "Song-Ju Kim"
    ],
    "categories": [
      "quant-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Contextuality Derived from Minimal Decision Dynamics: Quantum Tug-of-War Decision Making",
    "url": "https://arxiv.org/abs/2601.10034",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3b325041-26b3-4e89-af2e-d2f83d808c18",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}