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WorldSeed: Axiomatic Specification and Infrastructure for Physically Learnable Worlds

Authors: Zhang, Xiaolong;

WorldSeed: Axiomatic Specification and Infrastructure for Physically Learnable Worlds

Abstract

WorldSeed is an axiomatic specification and executable infrastructure for physically learnable worlds. It defines world identity, state ontology, actions, observers, sensing boundaries, numerical semantics, and irreversible degradation as explicit, verifiable research entities. A minimal set of normative axioms (S1–S19) prevents implicit semantic assumptions. This record includes the WorldSeed paper, reference specifications, and a compliance checker (WorldSeed-Lint) that mechanically verifies whether declared world representations satisfy the axioms. WorldSeed is intended as foundational research infrastructure and does not evaluate learning algorithms or benchmarks.

Keywords

axiomatic semantics, physical world modeling, world specification, visual learning, reproducibility, machine learning foundations, degradation

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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