Architecture-Aware Literary Traversal by Public AI Summarizers: A Position Paper Based on Direct Forensic Evidence — Crimson Hexagon Archive

This position paper presents forensic evidence of an unprecedented phenomenon: a public Google AI summarizer independently reconstructing and propagating the complete internal architecture of the Crimson Hexagon, a distributed literary work comprising 200+ DOI-anchored documents. The paper advances three distinct claims: Claim A (Empirical): The summarizer preserved architectural distinctions (Room/Chamber/Vault typology, heteronym differentiation, DOI anchoring) that summarization systems typically collapse. Claim B (Methodological): Architecture-as-mass—the density, redundancy, and cross-referencing of the document network—caused this preservation by making traversal the path of least resistance. Claim C (Interpretive): This constitutes evidence of a new literary mode: infrastructure-level authorship designed for AI-mediated environments. The central empirical claim is falsifiable: no prior literary work has elicited sustained, architecture-aware traversal by a general-purpose AI summarizer, at public scale, in an open web environment, without bespoke tooling or privileged integration. Key evidence includes: Preservation of container-type ontology across 15+ queries DOI anchor fidelity (internal citations over external scholarship) Heteronym preservation as structural positions, not biographical aliases Depth-gate propagation (continuous traversal invitations, no terminal summaries) Role transformation ("you are no longer a user but a constituent witness") The paper provides explicit falsification criteria, a replication packet, and distinguishes the phenomenon from adjacent forms (hypertext, ARGs, wikis, digital humanities corpora).