Paper Citation Record · LEDGER

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

As of 9 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.

Source: paper_references, paper_reference_links, observed 2026-07-31T12:50:19.373354Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact11
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier3
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External citation measurements

No source-named external measurement is stored.

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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Observation 64b33ff8-f753-43c6-9eab-010462b0c6b3 · outbound

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

Resolution: verified exact; doi, observed 2026-07-31T12:51:03.663569Z

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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

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.284412Z

Source-reported events for the cited work

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Observation d8d15e5d-ba53-43ab-aa2e-fe64ddb43ebe · outbound

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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Observation 66e1731b-35eb-4ec8-8f84-739e93aa090e · outbound

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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Observation b0e47bfa-6fc7-4c5b-92ed-0a5b862dc3d0 · outbound

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

Resolution: verified exact; doi, observed 2026-07-31T12:51:03.115142Z

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; doi, observed 2026-07-31T12:51:02.795885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0e7fa2d-a851-4d17-876d-2501c6783ba8 · outbound

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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Observation b1537aac-3b81-4ed1-9cb0-8555f552576c · outbound

This paper cites OntoMODEL: ontolog- ical mathematical modeling knowledge management in pharmaceutical product development, 1: conceptual framework.

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

Resolution: verified exact; doi, observed 2026-07-31T12:51:02.275562Z

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Observation fd45e18a-aa52-465d-a893-f54b28e6c630 · outbound

This paper cites Ontological Approach to Formaliza- tion of Knowledge in Computational PlasmaPphysics.

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

Reference 16

Resolution: verified exact; doi, observed 2026-07-31T12:51:02.090342Z

Source-reported events for the cited work

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Observation b2c07e34-be28-435c-97b9-9209520d5fa6 · outbound

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

Resolution: verified exact; doi, observed 2026-07-31T12:51:01.748488Z

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Observation 80007161-075e-4fab-9256-1f91021c98af · outbound

This paper cites Prerequisite Relationships of the OntoMathEdu Educational Mathematical Ontology.

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

Reference 18

Resolution: verified exact; doi, observed 2026-07-31T12:51:01.339336Z

Source-reported events for the cited work

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Observation 51fc9089-5852-463e-9a2d-8c0a7204b98e · outbound

This paper cites Ontolo- gies for Models and Algorithms in Applied Mathematics and Related Disciplines.

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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Source-reported events for the cited work

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

This paper cites FAIR Representation of Mathematical Research Data: MathModDB and MathAlgoDB as Knowledge Graphs for Mathematical Models and Numerical Algorithms.

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

Resolution: verified exact; doi, observed 2026-07-31T12:51:01.072919Z

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Observation e9de47e4-3af3-474f-af1f-09d6f0146675 · outbound

This paper cites Mathematics in Wikidata.

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

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

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

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.333918Z

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Observation f40b7279-fd11-469d-8fcd-f299a164db50 · outbound

This paper cites A survey on model context protocol: Architecture, state-of-the-art, challenges and future directions.

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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Observation 4f48e56c-bf1c-4d41-ac1a-80503422876d · outbound

This paper cites Agentic SPARQL: Evaluating SPARQL- MCP-powered Intelligent Agents on the Federated KGQA Benchmark.

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

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.339925Z

Source-reported events for the cited work

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Observation 68d9d69b-a47f-4f6e-ac3c-2f939b1c9a0f · outbound

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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

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.342822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22137ca3-2695-46ba-9080-887151fad66a · outbound

This paper cites Enhancing Dspace with Large Language Models: Designing an Integration Framework Using the Model Context Protocol.

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

Resolution: verified exact; doi, observed 2026-07-31T12:51:00.879990Z

Source-reported events for the cited work

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Observation 946401d5-ddf4-468f-aa79-69b45dd4f679 · outbound

This paper cites Community- based biomedical context to unlock agentic systems.

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

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.348671Z

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Observation 3816cbc9-5d88-4ced-9da3-b933168cab31 · outbound

This paper cites European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modelling.

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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Observation 3163fe2b-692e-443f-be32-ba3e5788bb31 · outbound

This paper cites SPINACH: SPARQL-based in- formation navigation for challenging real-world questions.

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

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.354457Z

Source-reported events for the cited work

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Observation 3e1af2d8-d975-4c06-a2a7-024a41d3f968 · outbound

This paper cites Knowledge graphs as context sources for llm-based expla- nations of learning recommendations.

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

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.357615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c0a2521-2be4-4970-b5e0-c3cf798e43fd · outbound

This paper cites Knowledge Graphs as a source of trust for LLM-powered enterprise question answering.

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

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.360413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ed88de8-a627-4fcc-a426-019645294a9a · outbound

This paper cites ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT.

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

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.363190Z

Source-reported events for the cited work

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Observation cf9e04b7-db61-4435-a223-5ebb63c2a6aa · outbound

This paper cites Steiner tree problems.

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

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.366974Z

Source-reported events for the cited work

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Observation 515591fc-cef1-4b2b-8e37-4ff12fccb1de · outbound

This paper cites Kinetic model development forα- aminoesterhydrolase(AEH)-catalyzedsynthesisofβ-lactamantibiotics.

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

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.370248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a16df90-dd78-4f84-9a5e-df456cb5ead5 · outbound

This paper cites Partitioned Coupling vs.

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

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-31T12:50:19.373354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.