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Paper Citation Record · LEDGER

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.24512.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.24512 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

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measured 34 of 34 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

34 of 34 outbound references displayed

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Outbound references

Observation 89d9866f-ece6-4407-8ad5-c9d0bba789bb · outbound

This paper cites Making mathemati- cal research data FAIR: pathways to improved data sharing.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Making mathemati- cal research data FAIR: pathways to improved data sharing

Reference 1

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This paper cites Mathematical research data–an analysis through zbMATH references.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Mathematical research data–an analysis through zbMATH references

Reference 2

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Observation eb9c8857-b1ab-467d-834f-b4652ece60bf · outbound

This paper cites Bravo MaRDI: a wikibase powered knowledge graph on mathematics.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Bravo MaRDI: a wikibase powered knowledge graph on mathematics

Reference 3

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Observation d0350b5d-8fbb-46c6-8c03-d38721fe4c9f · outbound

This paper cites The FAIR Guiding Principles for scientific data management and stewardship.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration The FAIR Guiding Principles for scientific data management and stewardship

Reference 4

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Observation 226db96a-2211-4626-8573-65abcb22eea4 · outbound

This paper cites Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics

Reference 5

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Observation 77c6fcf3-5f67-4740-86a0-5cbf4d93a35f · outbound

This paper cites MaRDI: Mathematical Research Data Initiative Proposal.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration MaRDI: Mathematical Research Data Initiative Proposal

Reference 6

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This paper cites Wikidata: a free collaborative knowledgebase.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Wikidata: a free collaborative knowledgebase

Reference 7

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Observation 478fecb4-6026-45ce-8620-6473deca49b6 · outbound

This paper cites Publishing on the Semantic Web.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Publishing on the Semantic Web

Reference 8

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This paper cites Epis- temic metadata for computational engineering information systems.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Epis- temic metadata for computational engineering information systems

Reference 9

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This paper cites Data, Information, Knowledge, Wisdom, and Explainable Artificial Intelligence.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Data, Information, Knowledge, Wisdom, and Explainable Artificial Intelligence

Reference 10

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Observation adf51b2e-4f48-4918-bbd1-47c6406f57a6 · outbound

This paper cites MKM: a new interdisciplinary field of research.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration MKM: a new interdisciplinary field of research

Reference 11

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Observation 4c5b6ca1-2c62-4a18-9951-f57bf6e48cb4 · outbound

This paper cites BioModels database: a repository of mathematical models of biological processes.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration BioModels database: a repository of mathematical models of biological processes

Reference 12

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This paper cites Onto MODEL: Ontological mathematical modeling knowledge management.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Onto MODEL: Ontological mathematical modeling knowledge management

Reference 14

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration OntoMODEL: ontolog- ical mathematical modeling knowledge management in pharmaceutical product development, 1: conceptual framework

Reference 15

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Ontological Approach to Formaliza- tion of Knowledge in Computational PlasmaPphysics

Reference 16

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This paper cites OntoMathEdu: A Linguis- tically Grounded Educational Mathematical Ontology.

Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration OntoMathEdu: A Linguis- tically Grounded Educational Mathematical Ontology

Reference 17

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Prerequisite Relationships of the OntoMathEdu Educational Mathematical Ontology

Reference 18

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Ontolo- gies for Models and Algorithms in Applied Mathematics and Related Disciplines

Reference 19

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Observation 6a61513e-33ab-40ab-8fac-6248e5a24822 · outbound

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration FAIR Representation of Mathematical Research Data: MathModDB and MathAlgoDB as Knowledge Graphs for Mathematical Models and Numerical Algorithms

Reference 20

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Mathematics in Wikidata

Reference 21

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Observation d915bcfa-e657-4eae-b145-eab0a1090f7f · outbound

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 22

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration A survey on model context protocol: Architecture, state-of-the-art, challenges and future directions

Reference 23

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Agentic SPARQL: Evaluating SPARQL- MCP-powered Intelligent Agents on the Federated KGQA Benchmark

Reference 24

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration ExperienceswithModelContextPro- tocol Servers for Science and High Performance Computing

Reference 25

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Enhancing Dspace with Large Language Models: Designing an Integration Framework Using the Model Context Protocol

Reference 26

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Community- based biomedical context to unlock agentic systems

Reference 27

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modelling

Reference 28

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration SPINACH: SPARQL-based in- formation navigation for challenging real-world questions

Reference 29

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Knowledge graphs as context sources for llm-based expla- nations of learning recommendations

Reference 30

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Knowledge Graphs as a source of trust for LLM-powered enterprise question answering

Reference 31

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Reference 32

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Steiner tree problems

Reference 33

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Kinetic model development forα- aminoesterhydrolase(AEH)-catalyzedsynthesisofβ-lactamantibiotics

Reference 34

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Making Mathematical Knowledge Explainable, Accessible and Interoperable Through Large Language Model Integration Partitioned Coupling vs

Reference 35

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Pith citing papers

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