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The Entity Registry System. From concept to deployment

Distributed, Parallel, and Cluster Computing · Submitted 2 Aug 2016

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

The authors' main claim The entity registry system (ERS) is a decentralized entity registry that can be used to replace the Web as a platform for publishing linked data when the latter is not available.

how it is stated · asserted 0.82 read the record →

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arXiv ID1608.01019 (version 1)
Pith IDP5DZKEW6, Pith's permanent record of this paper and its review
CitationMihai Gramada. "The Entity Registry System. From concept to deployment." arXiv:1608.01019 (2016). https://pith.science/paper/P5DZKEW6
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, 3,516 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.94 · human participants 0.07 · controlled comparison 0.07 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.15 · mentions code or data availability 0.06.

The abstract, sentence by sentence

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

The entity registry system (ERS) is a decentralized entity registry that can be used to replace the Web as a platform for publishing linked data when the latter is not available. In developing countries, where off-line is the default mode of operation, centralized linked data solutions fail to address the needs of the communities. Although the features are mostly completed, the system is not yet ready for deployment. This project aims to provide extensive tests and scalability investigations that would make it ready for a real scenario.

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 The entity registry system (ERS) is a decentralized entity registry that can be used to replace the Web as a platform for publishing linked data when the latter is not available. contribution 0.82 0.30 0.21 asserted 0.82
s1 In developing countries, where off-line is the default mode of operation, centralized linked data solutions fail to address the needs of the communities. background 0.88 0.08 0.07 asserted 1.00
s2 Although the features are mostly completed, the system is not yet ready for deployment. limitation 0.96 0.61 0.18 asserted 1.00
s3 This project aims to provide extensive tests and scalability investigations that would make it ready for a real scenario. future work 0.67 0.19 0.15 asserted 0.72

What kind of paper the classifier reports this is: method or tool 0.94 · evidence from argument 0.94.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
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

The entity registry system (ERS) is a decentralized entity registry that can be used to replace the Web as a platform for publishing linked data when the latter is not available. In developing countries, where off-line is the default mode of operation, centralized linked data solutions fail to address the needs of the communities. Although the features are mostly completed, the system is not yet ready for deployment. This project aims to provide extensive tests and scalability investigations that would make it ready for a real scenario.

Human review
How the literature uses it

What this paper does with the arXiv papers it cites

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

Discussion

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