{
  "abstract": "Architectural conceptualization and comparative analysis of real-time NLP inference, token-level interpretability (LIME), and asynchronous cloud pipeline orchestration across 40,000+ records in automated misinformation detection.",
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  "affiliations": [
    "University of East London"
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  "authors": [
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      "name": "Muhammad Junaid Mir"
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  "bibtex": "https://research.draconitic.com/paper/21c2pdw4181mz.bib",
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  "doi": "10.5281/zenodo.23486398",
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  "id": "21c2pdw4181mz",
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  "published": "2026-10-17",
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  "ris": "https://research.draconitic.com/paper/21c2pdw4181mz.ris",
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  "subjects": [],
  "title": "The Black-Box Trap: What Building Real-Time NLP and Cloud Pipelines Taught Me About Explainable AI",
  "title_text": "The Black-Box Trap: What Building Real-Time NLP and Cloud Pipelines Taught Me About Explainable AI",
  "type": "preprint",
  "updated_at": "2026-10-31T12:20:56Z",
  "url": "https://research.draconitic.com/paper/21c2pdw4181mz",
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