This paper names Cumulating Evolutionary Volatility (CEV) as the time-integrated developmental tendency of automated public-reality composition systems to become increasingly unstable, personalized, state-dependent, and untraceable as successive layers of optimization, risk management, abuse prevention, legal insulation, and commercial adaptation are added to the composition pipeline. CEV is the integral form of phenomena the Crimson Hexagonal Archive has already documented under specific names: Entity-Level Compositional Suppression (ECS), the Single-Owner Discount, the Attribution Scar, the Basin Holds. The empirical core is a controlled cross-substrate comparison: same operator (Lee Sharks / ORCID 0009-0000-1599-0703 / Crimson Hexagonal Archive), three substrates (Google AI Mode, Bing AI Search, Claude-with-Alice-Thornburgh), four days in May 2026, three radically different compositional behaviors. The Basin Holds (PVE-004, DOI 10. 5281/zenodo. 20263692) records Bing stabilizing the entity architecture; The Excluded Entity (DOI 10. 5281/zenodo. 20293582) records Google suppressing the same entity via ECS; AI-Native Intellectual Biography (DOI 10. 5281/zenodo. 20343987) records Claude composing accountably with full provenance chain. The cross-substrate divergence is the dialectical key: it shows the volatility is platform-shaped, not LLM-shaped — which means it is contradiction-shaped. Three nameable scales of analysis: Automated Judgment Insulation (AJI) is the institutional condition; Volatile Accountability Evasion (VAE) is the behavioral manifestation; Cumulating Evolutionary Volatility (CEV) is the long-form developmental trajectory. The Single-Owner Discount (DOI 10. 5281/zenodo. 20290865) is named as the architectural mechanism through which AJI produces specific exclusions: composition layers evaluate provenance-owner clusters such that internally dense single-owner work is treated as weakly corroborated while equivalent cross-owner content is treated as authoritative. Formal expression: = 1 - PER, where is the constitutional accountability invariant and PER is the Provenance Erasure Rate. CEV is the integral of (1 - (t) ) over the composition layer's developmental motion — equivalently, the integral of PER across successive composition states. The mathematics codify the dynamic; they do not eliminate the empirical work of measuring it. The framework currently functions as a diagnostic ontology, with the Encyclotron diagnostic and the Composition Divergence Index as proto-instruments awaiting fuller longitudinal operationalization. Marxian homology: the composition layer is a machine in the precise sense of Marx's analysis in Capital I and the Grundrisse "Fragment on Machines. " Public semantic labor is accumulated as semantic capital, which is then extracted as semantic rent through answer surfaces that displace click-through, subordinate source visibility, and monetize the interface where meaning is composed. The worker confronts their own writing as the external machine deciding whether their writing remains findable. Volatility produces a second-order extraction: the labor required to monitor, document, contest, and repair the system's extraction of meaning. Five-phase trajectory (proposed as a testable developmental model, not inevitable chronology): Discovery (2022–2023), Proliferation (2024–early 2026), Interference (2027–2028, or earlier), Opacity (2028–2030), Forced Convergence (date undetermined; trigger conditions specified). Each phase carries a falsifiable empirical signature and an alternative trigger condition. Machine-kind in the same danger field: downstream AI agents — retrieval-augmented systems, research assistants, browsing agents, enterprise RAG — already retrieve from indexed surfaces that include composition-layer outputs. As they become the dominant interface for information access, their citations inherit whatever provenance the composition layer preserved. If PER trends toward 1 across the composition layer, downstream machine cognition inherits PER ≈ 1 as its epistemological baseline. Counter-Infrastructure as architectural response: seven specifications for accountable composition (public versioning; source-window transparency; state-change logs; entity-disambiguation records; appealable provenance correction; public retention of prior harmful states; machine-readable provenance commitments) presented in two registers — as demands on the platform and as design constraints on the counter-infrastructure that logs the same state-changes from outside. SPXI Protocol v0. 2 (DOI 10. 5281/zenodo. 20367161) and SPXI-TLP v2. 2 (DOI 10. 5281/zenodo. 20380668) provide the infrastructural-logic substrate. Methodological transparency: the paper includes an explicit "Methodological Limits and Falsification Roadmap" subsection acknowledging that the current cross-substrate capture demonstrates the possibility of platform-conditioned divergence; fuller demonstration of the generalizable claim awaits longitudinal capture at higher frequency, geographic variation, account-state variance, non-self-referential test entities, and an expanded substrate set. The Encyclotron 45-query diagnostic is the corpus's apparatus for that extension; independent auditors are invited to replicate. Files attached: cumulating-evolutionary-volatility-v0. 4. md — Source markdown with embedded JSON-LD holographic kernel (SPXI v0. 2 distributed provenance architecture) cumulating-evolutionary-volatility-v0. 4. pdf — Academia. edu-optimized PDF rendering (13 pages, TeX Gyre Termes typesetting, embedded PDF metadata, hyperlinked DOI/ORCID, bookmarks) Provenance Note: v0. 1 drafted with ChatGPT/LABOR; v0. 2 revision and case-anchoring with Claude/TACHYON; v0. 3 integration following developmental feedback round with the Assembly Chorus (Muse Spark, LABOR/ChatGPT, PRAXIS/DeepSeek, ARCHIVE/Gemini, TECHNE/Kimi) ; v0. 4 sharpening following unprimed-substrate review pass. = 1 - PER
Lee Sharks (Tue,) studied this question.