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Reducing Programs to Objects

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Yegor Bugayenko

Programming Languages · Submitted 17 Dec 2021

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

The authors' main claim We are trying to answer the following research question: "Which known features are possible to implement using only objects?"

how it is stated · unclear 0.78 read the record →

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arXiv ID2112.11988 (version 3)
Pith IDMZYKXRML, Pith's permanent record of this paper and its review
CitationYegor Bugayenko. "Reducing Programs to Objects." arXiv:2112.11988 (2021). https://pith.science/paper/MZYKXRML
Claim paper

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.

Open the compiled record

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,933 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.35 · human participants 0.02 · controlled comparison 0.12 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.14 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v3. Results and the main claim are underlined; .

C++, Java, C#, Python, Ruby, JavaScript are the most powerful object-oriented programming languages, if language power would be defined as the number of features available for a programmer. EO, on the other hand, is an object-oriented programming language with a reduced set of features: it has nothing by objects and mechanisms of their composition and decoration. We are trying to answer the following research question: "Which known features are possible to implement using only objects?"

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 C++, Java, C#, Python, Ruby, JavaScript are the most powerful object-oriented programming languages, if language power would be defined as the number of features available for a programmer. background 1.00 0.09 0.03 asserted 0.92
s1 EO, on the other hand, is an object-oriented programming language with a reduced set of features: it has nothing by objects and mechanisms of their composition and decoration. background 0.96 0.16 0.05 asserted 1.00
s2 We are trying to answer the following research question: "Which known features are possible to implement using only objects?" contribution 0.50 0.24 0.04 unclear 0.78

What kind of paper the classifier reports this is: method or tool 0.49 · evidence from argument 0.97.

What was examined, and what was not

sources read
  • arXiv listing abstract v3
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

C++, Java, C#, Python, Ruby, JavaScript are the most powerful object-oriented programming languages, if language power would be defined as the number of features available for a programmer. EO, on the other hand, is an object-oriented programming language with a reduced set of features: it has nothing by objects and mechanisms of their composition and decoration. We are trying to answer the following research question: "Which known features are possible to implement using only objects?"

Human review

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How the literature uses it

1 arXiv paper cite this in 2 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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