{
  "title": "iTrace: verification-first webcam eye-movement analysis",
  "version": "0.4.1",
  "doi": "10.5281/zenodo.20614909",
  "doi_url": "https://doi.org/10.5281/zenodo.20614909",
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  "publication_date": "2026-06-09",
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    {
      "name": "Friedman, Daniel Ari",
      "affiliation": "Active Inference Institute",
      "orcid": "0000-0001-6232-9096"
    }
  ],
  "description": "iTrace is an MIT-licensed Python toolkit for webcam-derived gaze, saccade, pupil, and quality diagnostics. Version 0.4.1 is a diagnostic v1 release: the pure NumPy/SciPy core is algorithmically verified against synthetic and closed-loop oracles, the optional webcam shell exports derived records, and the empirical ledger covers a single-participant, single-device, five-session diagnostic pilot. This release does not claim reference-device accuracy, cross-device generality, population generality, or webcam-accuracy validation.",
  "keywords": [
    "eye-tracking",
    "webcam",
    "gaze",
    "saccades",
    "pupillometry",
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    "diagnostic-pilot"
  ],
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      "type": "repository",
      "url": "https://github.com/docxology/itrace"
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  "github_repo": "docxology/itrace",
  "github_release_url": "https://github.com/docxology/itrace/releases/tag/v0.4.1",
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  "checked_at": "2026-06-09T18:22:02Z"
}