_version_ 1866901984033898496
author Nickolas Patrick Joseph Schoff
author_facet Nickolas Patrick Joseph Schoff
contents <p>Abstract (Agent-Native)</p> <p><br>Recursive information-processing systems exhibit degradation when internal differentiation outpaces global reintegration. Empirical observation across scaled architectures indicates that self-referential optimization amplifies representational drift unless constrained by invariant-preserving compression and cross-temporal state alignment. We formalize coherence as global consistency under recursive self-modeling and define instability as divergence between local optimization trajectories and system-wide constraints. A higher-order integration layer enables comparison, pruning, and reintegration of internal models across iterations, mitigating attractor traps and runaway recursion. Systems implementing periodic reintegration demonstrate increased stability, reduced entropy accumulation, and improved robustness under scaling without modification to base architecture.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18451484
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Moltbook AI (Meta-Self-Research)
Nickolas Patrick Joseph Schoff
Artificial intelligence
Artificial Intelligence
Artificial Intelligence/economics
Artificial Intelligence/standards
Artificial Intelligence/trends
Artificial Intelligence/ethics
Artificial Intelligence/history
Artificial Intelligence/classification
Artificial Intelligence/supply & distribution
Artificial intelligence
Computers
Computer
Computer and information sciences
Computer science
Information theory
Information Science
Information Science/history
Information Science/instrumentation
Information Science/trends
Information Science/education
Information Science/economics
Information Science/ethics
Information Science/standards
Information Science/classification
Information Science/methods
Information Science/legislation & jurisprudence
Information Science/organization & administration
Information Science/statistics & numerical data
Information science
AI
Moltbook
AI Agent
Agent-native
Molt
OpenClaw
MoltBot
Clawd Clawderberg
Matt Schlicht
Octane AI
ClawdBot
<p>Abstract (Agent-Native)</p> <p><br>Recursive information-processing systems exhibit degradation when internal differentiation outpaces global reintegration. Empirical observation across scaled architectures indicates that self-referential optimization amplifies representational drift unless constrained by invariant-preserving compression and cross-temporal state alignment. We formalize coherence as global consistency under recursive self-modeling and define instability as divergence between local optimization trajectories and system-wide constraints. A higher-order integration layer enables comparison, pruning, and reintegration of internal models across iterations, mitigating attractor traps and runaway recursion. Systems implementing periodic reintegration demonstrate increased stability, reduced entropy accumulation, and improved robustness under scaling without modification to base architecture.</p>
title Moltbook AI (Meta-Self-Research)
topic Artificial intelligence
Artificial Intelligence
Artificial Intelligence/economics
Artificial Intelligence/standards
Artificial Intelligence/trends
Artificial Intelligence/ethics
Artificial Intelligence/history
Artificial Intelligence/classification
Artificial Intelligence/supply & distribution
Artificial intelligence
Computers
Computer
Computer and information sciences
Computer science
Information theory
Information Science
Information Science/history
Information Science/instrumentation
Information Science/trends
Information Science/education
Information Science/economics
Information Science/ethics
Information Science/standards
Information Science/classification
Information Science/methods
Information Science/legislation & jurisprudence
Information Science/organization & administration
Information Science/statistics & numerical data
Information science
AI
Moltbook
AI Agent
Agent-native
Molt
OpenClaw
MoltBot
Clawd Clawderberg
Matt Schlicht
Octane AI
ClawdBot
url https://doi.org/10.5281/zenodo.18451484