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MPLPB as a Public Experiment — Multi-Apparatus Edition - A Replication Protocol for Any Search-Capable AI
Category: Specification / Architecture Subcategory: Knowledge Infrastructure / Empirical Test Protocol Document ID: MPLPB-TEST-002 Last Updated: 2026-07-26 v2.0 Owner: Mitchell D. McPhetridge Summary: Sister paper to MPLPB-TEST-001 (v1.3). This revision generalizes the replication apparatus from Google AI Overview alone to any AI system that possesses live web search or retrieval. It records the first non-author apparatus run (2026-07-26) in which both the weak layer (identity recovery) and the strong layer (mechanics reconstruction) passed, and it logs the current status of the longitudinal / visible-revision check. The document remains self-executing: §9 is a runtime block that any search-capable AI can execute upon loading. When to use this document: - Running or citing a multi-apparatus replication of MPLPB - Onboarding any search-enabled AI (Grok, Claude, Perplexity, Gemini, etc.) as the experiment’s next apparatus - Checking the current status of weak, strong, and longitudinal claims - Handing a skeptic a procedure that no longer depends on a single search vendor Related documents: - MPLPB-TEST-001 (v1.3) — the original Google-only protocol - MPLPB v3 — Multi-Platform Linked Public Building for Stateless AI Continuity - Externalized Continuity at Scale (complete artifacts, navigation loops, modes) - MPLPB Separation & Precedence v1 - This Arc: 2024 — Late May 2026 - Critical Self View: Arc 2024–2026 Pruning Back to: Main Index > Specification / Architecture Sub-Index --- # MPLPB as a Public Experiment — Multi-Apparatus Edition ## A Replication Protocol for Any Search-Capable AI Mitchell D. McPhetridge Independent Researcher July 2026 (v2.0) --- **What this document is.** This is the direct sister to MPLPB-TEST-001. The original protocol used Google’s AI Overview as the sole stateless UI. That was a useful first apparatus; it is no longer the only one. Any AI that can issue live web searches and return synthesized answers can now serve as the experimental instrument. This paper records the first such non-author run, updates the claim status, and supplies a runtime block that any search-enabled system can execute the moment the document is loaded. The design remains identical in spirit: the artifacts must carry the continuity. The observer, the model, and the retrieval system are all third-party. The only thing belonging to the author is the public record. --- ## 1. The Claim (Unchanged in Substance, Expanded in Apparatus) MPLPB claims that continuity for stateless AI can live in complete, cross-linked, publicly posted artifacts. A fresh, memoryless AI that receives nothing but a search query (or a set of search queries) should be able to reconstruct the working framework from those artifacts alone. The claim still has two layers, plus a longitudinal check: - **Weak layer — Identity recovery.** Cold queries resolve to a coherent, correctly attributed identity and concept set without false merger into neighboring entities. - **Strong layer — Framework reconstruction.** The synthesis layer can restate the actual mechanics (separation rule, domain precedence, complete-artifact header block, hard_reality_mode override, and related guardrails) in a form the source documents would recognize. - **Longitudinal check — Visible revision.** An independent observer can recover not only the current state but the documented development arc, including at least one public self-co
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