Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.00452.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T01:07:34.844695Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T02:39:29.734259Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 84b7b873-fb61-431d-b38d-2e1e2c683f59 · inbound
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:39:29.738029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 58ae4db2-bd59-4591-8a2d-ac75872df819 · inbound
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? cites this paper.
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:07:34.844695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f86027f0-500f-48e0-b7a4-30b011fad79f · inbound
GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction cites this paper.
GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:15:35.452690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.