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Automated inference of production rules for glycans

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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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Ansuman Biswas, Ashutosh Gupta, Meghana Missula, Mukund Thattai

Logic in Computer Science · Submitted 5 Jul 2021

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

The authors' main claim In this paper, we present the first SMT-solver-based iterative method that infers the assembly process of the glycans by analyzing the set of glycans from a cell.

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arXiv ID2107.02203 (version 1)
Pith IDHPBFYVYL, Pith's permanent record of this paper and its review
CitationAnsuman Biswas, Ashutosh Gupta, Meghana Missula, Mukund Thattai. "Automated inference of production rules for glycans." arXiv:2107.02203 (2021). https://pith.science/paper/HPBFYVYL
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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, 4,764 input tokens.

What the abstract itself states, as probabilities: claims first 0.93 · states limitation 0.10 · human participants 0.04 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.08 · mentions code or data availability 0.09.

The abstract, sentence by sentence

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

Glycans are tree-like polymers made up of sugar monomer building blocks. They are found on the surface of all living cells, and distinct glycan trees act as identity markers for distinct cell types. Proteins called GTase enzymes assemble glycans via the successive addition of monomer building blocks. The rules by which the enzymes operate are not fully understood. In this paper, we present the first SMT-solver-based iterative method that infers the assembly process of the glycans by analyzing the set of glycans from a cell. We have built a tool based on the method and applied it to infer rules based on published glycan data.

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 Glycans are tree-like polymers made up of sugar monomer building blocks. background 1.00 0.04 0.02 asserted 1.00
s1 They are found on the surface of all living cells, and distinct glycan trees act as identity markers for distinct cell types. background 1.00 0.04 0.02 asserted 1.00
s2 Proteins called GTase enzymes assemble glycans via the successive addition of monomer building blocks. background 1.00 0.04 0.02 asserted 1.00
s3 The rules by which the enzymes operate are not fully understood. gap 0.97 0.04 0.02 asserted 0.99
s4 In this paper, we present the first SMT-solver-based iterative method that infers the assembly process of the glycans by analyzing the set of glycans from a cell. contribution 0.88 0.96 0.57 asserted 1.00
s5 We have built a tool based on the method and applied it to infer rules based on published glycan data. contribution 0.66 0.96 0.20 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from analysis of existing data 0.94.

What was examined, and what was not

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  • figures and tables
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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

Glycans are tree-like polymers made up of sugar monomer building blocks. They are found on the surface of all living cells, and distinct glycan trees act as identity markers for distinct cell types. Proteins called GTase enzymes assemble glycans via the successive addition of monomer building blocks. The rules by which the enzymes operate are not fully understood. In this paper, we present the first SMT-solver-based iterative method that infers the assembly process of the glycans by analyzing the set of glycans from a cell. We have built a tool based on the method and applied it to infer rules based on published glycan data.

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