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Optimal Seeding and Self-Reproduction from a Mathematical Point of View

Artificial Intelligence · Submitted 20 Jun 2018

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We provide an alternative definition of a generation system and give a complete solution to the problem of finding optimal seeds for a finite self-replicating system.

how it is stated · asserted 1.00 read the record →

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arXiv ID1806.09506 (version 2)
Pith ID72HCXDTB, Pith's permanent record of this paper and its review
CitationRita Gitik. "Optimal Seeding and Self-Reproduction from a Mathematical Point of View." arXiv:1806.09506 (2018). https://pith.science/paper/72HCXDTB
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,427 input tokens.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.06 · human participants 0.02 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.40 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

P. Kabamba developed generation theory as a tool for studying self-reproducing systems. We provide an alternative definition of a generation system and give a complete solution to the problem of finding optimal seeds for a finite self-replicating system. We also exhibit examples illustrating a connection between self-replication and fixed-point theory.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 P. background 0.95 0.03 0.02 unclear 1.00
s1 Kabamba developed generation theory as a tool for studying self-reproducing systems. background 1.00 0.04 0.05 asserted 1.00
s2 We provide an alternative definition of a generation system and give a complete solution to the problem of finding optimal seeds for a finite self-replicating system. contribution 0.98 0.96 0.73 asserted 1.00
s3 We also exhibit examples illustrating a connection between self-replication and fixed-point theory. contribution 0.64 0.91 0.11 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.98 · evidence from proof or derivation 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v2
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

P. Kabamba developed generation theory as a tool for studying self-reproducing systems. We provide an alternative definition of a generation system and give a complete solution to the problem of finding optimal seeds for a finite self-replicating system. We also exhibit examples illustrating a connection between self-replication and fixed-point theory.

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