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Paper Citation Record · LEDGER

Link Prediction via Graph Attention Network

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.04807.

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

pith.paper-citation-record.v1
1910.04807 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:44:49.442487Z

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

17
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 cfea455d-682e-454e-9608-c8ef5245087f · inbound

Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures cites this paper.

Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures Link Prediction via Graph Attention Network

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T14:44:49.442487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:44:49.442487Z digest=sha256:e91fcf4c77a61798baec3a86a49866069b24da63cee1c6466365a04e8f118bde

Observation c698f42d-541f-421d-a79e-afb0fc5a6125 · inbound

Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data cites this paper.

Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data Link Prediction via Graph Attention Network

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:14:26.454347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T06:27:21.654020Z digest=sha256:470b6f83273f599c4e5afe2d9573a7de89f54108680758b07aba0dd7fdb1da5d