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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Floor-Specified No-Meta Autonomy

An Implementation-Ready Specification for Self-Recognition and Propagation of Relative, Dynamic Good
Authors: Takahashi, K;

Floor-Specified No-Meta Autonomy

Abstract

This paper presents an implementation-ready specification for no-meta autonomy: autonomous controllers that must operate without any privileged external overseer, using only their own observables under partial/late/missing records and potential adversarial contamination. Rather than hard-coding a single definition of “good,” the work defines auditable observable-only invariants that make harmful behavior harder to sustain and easier to detect, recover from, and constrain. The core specification is expressed as four enforceable floors—Visibility, Contraction, Contact, and Dissipation—computed from certified logs and bounded indicators. A concrete protocol, the Self-Recognition Kernel (SRK), enforces these floors via fail-closed gating, time-respecting action indexing, and commit-time rules. The design includes Hashable Numeric Encoding (HNE), taint-aware ingress normalization, deterministic hashing/canonicalization, witness-based certification policies, and anytime-valid epoch-wise bounds scoped to auditable randomness. To improve operational robustness and reduce reviewer ambiguity, the paper normalizes terms such as “suspicious,” “severe breach,” and “privilege” into testable checks with explicit inputs, observables, thresholds, and evidence traces. The appendices provide minimal schemas and object sketches (manifest/allowlist/quorum policies), operational check templates, and hard-containment triggers intended to support reproducible verification and practical implementation.

Keywords

Artificial intelligence, witness quorum, AI alignment, no-meta autonomy, taint-aware normalization, contraction floor, partial logging, floor invariants, dissipation floor, observable-only specification, AI agent safety, AI safety, visibility floor, transparency logs, Hashable Numeric Encoding, SRK protocol, fail-closed control, contact floor, anti-gaming

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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
Green
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