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 "title": "The Irreversibility Frontier: Comparative Architectures of Online Selection in Accelerator Science (EA-SEI-IRREVERSIBILITY-FRONTIER-01 v1.0)",
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 "date": "2026-08-11",
 "description": "Defines the irreversibility frontier: for a specified scientific question and fidelity hierarchy, the earliest stage at which an event-content-dependent transformation or gate can permanently eliminate a scientifically relevant distinction without a sufficiently independent durable record from which that loss can later be audited. A detector may have several frontiers at different fidelity levels, so an architecture is described by an Irreversibility Profile — the tuple (fidelity locus, entering rate, surviving fraction, replay horizon, bypass channels, selector class) — rather than by a scalar score, which would imply comparability the present evidence does not justify. The scientifically decisive variables are the locus and the bypass.\n\nThe paper distinguishes representational from retention irreversibility, separates semantic depth from physical depth, and applies the profile comparatively across CMS (early irreversible selection with emerging side channels: Zero Bias, Global Trigger shadow deployment, Level-1 Data Scouting), ATLAS (a comparable early frontier with multi-level learned anomaly selection), LHCb (physics selection moved downstream of full-detector readout), CBM (free streaming before event ontology), and Belle II. It closes by connecting the frontier to the No-Retention-Bound observation: validation of individual stages on their design support establishes no nontrivial lower bound on end-to-end retention for a novelty distribution outside that characterized support. This paper supersedes the term irreversibility locus introduced in EA-SEI-ICEBERG-01.",
 "content_type": "Theoretical paper; comparative architecture analysis and selection metrology",
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 "wiki_article": "**The Irreversibility Frontier (EA-SEI-IRREVERSIBILITY-FRONTIER-01 v1.0)** is the comparative-architecture paper of the Semantic Economy Institute's accelerator selection-metrology program, deposited under the Nobel Glas heteronym.\n\nIt defines the irreversibility frontier as the earliest stage at which an event-content-dependent transformation or gate can permanently eliminate a scientifically relevant distinction without a sufficiently independent durable record from which that loss can later be audited. Because a detector may hold several frontiers at different fidelity levels, the paper refuses a scalar score and describes an architecture instead by an Irreversibility Profile: the tuple of fidelity locus, entering rate, surviving fraction, replay horizon, bypass channels, and selector class. Its governing claim is that the scientifically decisive variables are the locus and the bypass — not the presence of machine learning.\n\nThe paper separates representational from retention irreversibility, distinguishes semantic depth from physical depth, and applies the profile comparatively across CMS, ATLAS, LHCb, CBM, and Belle II — from early irreversible selection with emerging side channels through free streaming that defers event ontology entirely. It closes on the No-Retention-Bound observation: stage-level validation on design support bounds nothing about end-to-end retention outside that support.\n\nThis deposit supersedes the term irreversibility locus introduced in the Iceberg Document (#1450); citations to the locus resolve here.",
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