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Optimizing Optimal Reduction: A Type Inference Algorithm for Elementary Affine Logic

Logic in Computer Science · Submitted 15 May 2003

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

The authors' main claim We prove that the algorithm is correct and complete.

how it is stated · asserted 1.00 read the record →

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arXiv IDcs/0305011 (version 1)
Pith IDWX6C4V2P, Pith's permanent record of this paper and its review
CitationPaolo Coppola, Simone Martini. "Optimizing Optimal Reduction: A Type Inference Algorithm for Elementary Affine Logic." arXiv:cs/0305011 (2003). https://pith.science/paper/WX6C4V2P
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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,175 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.05 · human participants 0.02 · controlled comparison 0.01 · randomized assignment 0.01 · states quantitative result 0.05 · compares with prior results 0.04 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We present a type inference algorithm for lambda-terms in Elementary Affine Logic using linear constraints. We prove that the algorithm is correct and complete.

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 We present a type inference algorithm for lambda-terms in Elementary Affine Logic using linear constraints. contribution 0.98 0.94 0.23 asserted 1.00
s1 We prove that the algorithm is correct and complete. result 0.76 0.95 0.52 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from proof or derivation 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
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  • 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

We present a type inference algorithm for lambda-terms in Elementary Affine Logic using linear constraints. We prove that the algorithm is correct and complete.

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