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Preprint . 2026
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Operational R: Productive, Carrier-Dependent, Non-Reconstructable Self-Structure on a Continuous Digital Substrate

Authors: Friedel Jr, David H;

Operational R: Productive, Carrier-Dependent, Non-Reconstructable Self-Structure on a Continuous Digital Substrate

Abstract

The MORI-v1 benchmark architecture separates functional competence from a realization layer (R) and reports a deliberately conservative result: under a realization-sensitive evidentiary standard, behavioral self-like language from frontier and open-weight language models does not survive the V-penalty and decision threshold, a null, not a positive detection. This paper supplies the complementary positive: operational R-layer evidence on a digital substrate, obtained not on a language model but on a purpose-built continuous carrier. We give a substrate-agnostic, externally-locked R-test, a closed-loop partial-observation regulation world with a six-arm gate, a window-sweep, and a cross-episode-carry control, that operationalizes the three R-layer properties (carrier-dependent, non-reconstructable, dynamically sustained) plus a productivity criterion. We argue and then confirm a structural ceiling for a frozen language model in a token loop: its only non-reconstructable state is its sampling trajectory, which does not reliably track belief (with principled reason to expect it will not). We then show that a continuously-running belief carrier with online plasticity and cross-episode consolidation clears the gate productively and reliably; we isolate the binding obstacle, a productivity / non-reconstructability trade-off, and close it with an online system-identification carrier, where the same learned structure is both the productive driver of control and unrecoverable from any bounded single-episode window. The mechanism (rich world + identifying carrier + cross-episode consolidation) generalizes across two task types, several world families, and four carrier mechanisms including a continuous-time/analog substrate. The substrate also passes MORI's own R7 tier-convergence battery, intervention, representation, and behavior tiers that must converge, the gold standard on which the language models scored 0/21, on the same spec-literal sparse-autoencoder intervention instrument the language models faced, converging on 11/12 seeds (and on 12/12 under a coarser whole-self ablation); the passing is itself carrier-dependent. Finally we prove a boundary: deterministic full-history reconstruction is exact, so absolute non-reconstructability of productive structure is not achievable, operational within-window non-reconstructability is the correct and biologically faithful notion of R, and the continuous substrate has it. We claim operational R-layer evidence, not phenomenal consciousness; all results are in software emulation.

Keywords

continuous-time dynamics, MORI, carrier-dependence, recursive least squares, digital consciousness candidacy, realization layer, reservoir computing, operational R, non-reconstructability, modal consciousness theory, R7 tier-convergence

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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