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Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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Arbitration / Review Layer (ARL) v0.1 — Canonical Normative Package

Authors: Kotov, Ivan;

Arbitration / Review Layer (ARL) v0.1 — Canonical Normative Package

Abstract

ARL v0.1 is a bounded arbitration and review layer for multi-entity disputes in the Sovereign Entity Recursion (SER) stack. This deposit contains the canonical normative ARL package, including:- package-facing entry documents,- the normative core,- terminology and interpretation lock,- evidence admissibility and standing rules,- freeze / hold / quarantine semantics,- decision outcomes and appeal windows,- conflict taxonomy,- cross-repository pointer notes,- repository integration notes,- publication and integrity notes,- and the package-level SHA-256 manifest. This object is the canonical SER-side normative ARL package.It is not the ECC implementation pack and it is not a full ecosystem snapshot.

Keywords

arbitration review layer, audit trail, l4 witness, quarantine semantics, multi-entity systems, evidence admissibility, sovereign entity recursion, fail-closed systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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