SOURCE ZERO 2.0 — The Open Gate: Exploratory Observations of a Partially Observable Web

SOURCE ZERO 2.0 extends the methodology introduced in SOURCE ZERO 1.0 from machine-readable identity to what happens after information is published. The paper examines a partially observable web in which publishers can describe entities, expose structured data, and open access to automated clients, while still lacking direct visibility into the internal processes that determine retrieval, reconciliation, source selection, and generated answers. Using documented real-world implementations, SOURCE ZERO 2.0 analyzes server logs, crawler behavior, HTTP access failures, structured-data deployments, entity reconciliation across domains, source selection in generative systems, search visibility, analytics, and changes observed after publication. The study distinguishes between what was changed, what was recorded, what was later observed, and what cannot be inferred from those observations. It therefore treats HTTP access, crawling, citation, source selection, analytics sessions, and real-world outcomes as separate measurement surfaces rather than as interchangeable evidence. The paper introduces four working concepts: semantic lag, authority inertia, evidence velocity, and semantic persistence. These are not presented as established laws, but as operational terms for describing recurring problems observed when new or corrected information enters systems that are only partially visible to the publisher. Case material includes Knowledge Graph Laboratory (KGL), Zrobione4U, Krótkowzroczność.pl, myopia.website, OrtoKlaris, OstatniaPomoc.pl, and profesormichalnowak.pl. The material includes successful, negative, and unresolved observations, including HTTP 403/406/429 responses, crawler access, entity reconciliation, generative source selection, analytics data, and incomplete measurement. SOURCE ZERO 2.0 does not claim access to the internal mechanisms of Google, OpenAI, xAI, or other proprietary systems, and it does not claim that the documented interventions caused the observed outputs. Its purpose is narrower: to make the path from publication to machine access and observable response more measurable, auditable, and explicit. SOURCE ZERO 1.0 asked where a machine should find an unambiguous description of an entity. SOURCE ZERO 2.0 asks whether the machine can actually reach it — and what trace remains when it does.