A Ten-Gate Pipeline Model for Entity Visibility Across the Algorithmic Trinity

This paper formalises the DSCRI-ARGDW pipeline, a ten-gate model through which all digital content passes before generating user action in AI-mediated information retrieval systems. The ten gates — Discovered, Selected, Crawled, Rendered, Indexed, Annotated, Recruited, Grounded, Displayed, Won — are modelled as boolean checkpoints with cumulative confidence attenuation. The paper introduces Won-probability as the product of gate-pass probabilities, five formally defined Entry Modes for content ingestion, the Three Graphs functional correspondence (Entity Graph, Document Graph, Concept Graph), the Framing Gap as a structural signal deficit, and a diagnostic framework mapping nine transition failures to business impact categories. Validated against a longitudinal dataset of 73 million brand profiles and 25 billion data points tracked since 2015, with qualitative confirmation from engineers at Google and Microsoft Bing. This is the umbrella framework paper for The Kalicube Process formal foundation.

AI usage disclosure: in the preparation of this paper, the author used Claude (Anthropic) for drafting iterations, structural review, terminology consistency checking, and copy-editing. All conceptual content, theoretical claims, and intellectual contributions are the author's own. The author reviewed, revised, and approved all text and takes full responsibility for the content of this publication.

This paper is TKF-4-18735073 in The Kalicube Framework series by Jason Barnard (Kalicube). Canonical citation identifiers for the whole research programme are maintained in The Kalicube Framework Programme Register (TKF-0): https://doi.org/10.5281/zenodo.20645889. Cite this paper as TKF-4-18735073 (Zenodo concept DOI 10.5281/zenodo.18735073).