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§ 10 — References

References.

An IEEE-style reference list curated for the DOCBOT Framework research programme. The list is illustrative and will be expanded in the upcoming technical report.

  1. [1]

    NR TECH Research, "DOCBOT: A Modular Framework for Intelligent Document Processing in Enterprise Workflows," Tech. Rep. TR-2026-01, 2026.

  2. [2]

    D. Marr, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. San Francisco, CA: W. H. Freeman, 1982.

  3. [3]

    J. Pearl, Probabilistic Reasoning in Intelligent Systems. San Mateo, CA: Morgan Kaufmann, 1988.

  4. [4]

    S. Abiteboul, R. Hull, and V. Vianu, Foundations of Databases. Reading, MA: Addison-Wesley, 1995.

  5. [5]

    M. Stonebraker and J. Hellerstein, "What goes around comes around," in Readings in Database Systems, 4th ed., 2005.

  6. [6]

    T. Kraska et al., "The case for learned index structures," in Proc. ACM SIGMOD, 2018, pp. 489–504.

  7. [7]

    A. Halevy, P. Norvig, and F. Pereira, "The unreasonable effectiveness of data," IEEE Intell. Syst., vol. 24, no. 2, pp. 8–12, 2009.

  8. [8]

    C. Ré, "Software 2.0 and Snorkel: Beyond hand-labeled data," in Proc. KDD, 2018.

  9. [9]

    M. Zaharia et al., "Apache Spark: A unified engine for big data processing," Commun. ACM, vol. 59, no. 11, pp. 56–65, 2016.

  10. [10]

    A. Doan, A. Halevy, and Z. Ives, Principles of Data Integration. Burlington, MA: Morgan Kaufmann, 2012.

  11. [11]

    F. Chollet, "On the measure of intelligence," arXiv:1911.01547, 2019.

  12. [12]

    IEEE Standards Association, "IEEE Recommended Practice for Software Requirements Specifications," IEEE Std 830-1998, 1998.