Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2007.10261.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:56:30.575416Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
32
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b708dc87-480e-4cd0-b9f8-46e6368b5565 · inbound
DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration cites this paper.
DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:56:30.575416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ed48c19-8be0-4e50-8b6b-dfda17793089 · inbound
MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models cites this paper.
MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:09:01.528680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ab1b44a-5f27-48ec-ada4-956e703f5714 · inbound
Unifying biomedical knowledge in a modern multimodal graph cites this paper.
Unifying biomedical knowledge in a modern multimodal graph Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T04:20:07.792866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ae5a650d-a933-4c06-b8b0-232cf78a9860 · inbound
Unifying biomedical knowledge in a modern multimodal graph cites this paper.
Unifying biomedical knowledge in a modern multimodal graph Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:24:17.923053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc57320c-6b67-4922-b3a9-a219be59854b · inbound
Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense cites this paper.
Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T20:57:23.442860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.