Persistence from Geometry: Context, Refinement and Deterministic Change

Persistent structure can arise from the relationship between a field and the changes its geometry admits. We study two-valued readings on triangular incidence, with a transition receipt that identifies every disagreement removed or introduced. A strict transition removes at least one disagreement and introduces none. This gives an exact criterion on the entire changed set: its nonempty boundary must lie inside the source wall set. The criterion explains several distinct forms of persistence. Computation over the bound refined incidence classifies 60 of 480 adjacent pairs as dissolving through ancestral face assignments and 420 as held under the recorded family; GPU receipts witness all 60 exits. More strongly, the same enclosed region dissolves in one surrounding field and persists in another: the containing assignment removes 30 walls but opens 10 in the nested field, whereas it removes 20 and opens none in the contrast. Refinement provides another route. A single-site field with one strict exit pulls back to a field with no strict exit, even though each child inherits its parent's reading. A separate nested configuration preserves retention through refinement, with its predicted 64 walls and 30/20 diagnostic receipt reproduced on an RTX 3070. Exhaustive GPU sweeps cover the stated configuration families at two coarser levels; 89 targeted GPU receipts establish the decisive finer-level cases. Finally, within the bound whole-site domain, enabled effects commute or absorb one another. Their joint application determines one successor from one snapshot without selecting an offer. These results make persistence, contextual protection and deterministic change consequences of the same receipt construction.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-01
DOI
https://doi.org/10.5281/zenodo.23855121
Primary Topic
Cellular Automata and Applications
Type
preprint
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preprint

Persistence from Geometry: Context, Refinement and Deterministic Change

Devon A. Generally
5 links
Zenodo (CERN European Organization for Nuclear Research)
Cellular Automata and Applications
preprint

Persistence from Geometry: Context, Refinement and Deterministic Change

Devon A. Generally
preprint en

Abstract

Persistent structure can arise from the relationship between a field and the changes its geometry admits. We study two-valued readings on triangular incidence, with a transition receipt that identifies every disagreement removed or introduced. A strict transition removes at least one disagreement and introduces none. This gives an exact criterion on the entire changed set: its nonempty boundary must lie inside the source wall set. The criterion explains several distinct forms of persistence. Computation over the bound refined incidence classifies 60 of 480 adjacent pairs as dissolving through ancestral face assignments and 420 as held under the recorded family; GPU receipts witness all 60 exits. More strongly, the same enclosed region dissolves in one surrounding field and persists in another: the containing assignment removes 30 walls but opens 10 in the nested field, whereas it removes 20 and opens none in the contrast. Refinement provides another route. A single-site field with one strict exit pulls back to a field with no strict exit, even though each child inherits its parent's reading. A separate nested configuration preserves retention through refinement, with its predicted 64 walls and 30/20 diagnostic receipt reproduced on an RTX 3070. Exhaustive GPU sweeps cover the stated configuration families at two coarser levels; 89 targeted GPU receipts establish the decisive finer-level cases. Finally, within the bound whole-site domain, enabled effects commute or absorb one another. Their joint application determines one successor from one snapshot without selecting an offer. These results make persistence, contextual protection and deterministic change consequences of the same receipt construction.

Zenodo (CERN European Organization for Nuclear Research)
Cellular Automata and Applications
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