Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.11361.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:39:28.858082Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c1eb0834-1fcc-41d5-9569-50ea4b697727 · inbound
Exploring the Expertise of Large Language Models in Materials Science and Metallurgical Engineering cites this paper.
Exploring the Expertise of Large Language Models in Materials Science and Metallurgical Engineering Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:39:28.858082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba272886-34a8-4466-a447-7707f230cb4f · inbound
Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting cites this paper.
Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:33:13.475379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.