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Paper Citation Record · LEDGER

Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing

As of 9 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.

pith.paper-citation-record.v1
2007.10261 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:56:30.575416Z

measured 1 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-05T22:56:30.575416Z digest=sha256:8d6a0f0efe1f30af32bd6dee23e7e9f8dafe2131f22770ed3ad1ee01ec27edbb

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.

source=pdf_text observed=2026-08-04T11:09:01.528680Z digest=sha256:e28e522d70685829169fe80469ba61442369817384ac4c18d20204aac3f04acf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T09:34:05.973530Z digest=sha256:774f2e0701a5a72cce9e2307b361d25cb9b6d3fbcb971a61d32b4eaf9c1dc381

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.

source=pdf_text observed=2026-08-04T05:24:17.923053Z digest=sha256:e7d7d7e0cda17c733db7e0509aef2b975564874a71426e05fd56d4e9145b6c1e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T20:01:09.550423Z digest=sha256:9bb19eaf0db5745a6f890484e1374d034005a34679d559032a35864e8bbcf587