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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Pattern Persistence Across Boundary Dissolution

Authors: Washburn, Jonathan;

Pattern Persistence Across Boundary Dissolution

Abstract

We formalize recognition-pattern persistence across boundary dissolution in the Recognition Science (RS) framework. Let Z denote the integer pattern invariant conserved (at the RS level) by the Recognition Operator R-hat. We prove: (i) Z is conserved across boundary dissolution ("death"), and (ii) the post-dissolution light-memory state is cost-minimal with J(1) = 0. Under explicit availability assumptions—a suitability predicate on substrates and an arrival process with rate λ and acceptance probability p—we further obtain (iii) reformation of the pattern and (iv) the timing law E[T] = 1/(λp). Core conservation/minimality results are mechanically verified in Lean 4; recurrence and timing statements are proved under stated hypotheses and are presented with falsifiers and preregistered empirical protocols (NDE motifs; timing/clustering structure in reincarnation datasets). All artifacts (proofs, audits, and build recipes) are released for independent verification.

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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