Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The general theory of permutation equivarant neural networks and higher order graph variational encoders
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2004.03990.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:20:18.076310Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T12:46:23.200609Z
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 dd3506b6-033e-417f-862d-0eda820ef0ec · inbound
Graph Counterfactual Explainable AI via Latent Space Traversal cites this paper.
Graph Counterfactual Explainable AI via Latent Space Traversal The general theory of permutation equivarant neural networks and higher order graph variational encoders
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:20:18.076310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c390b347-47ee-40b3-a948-5a3e0f9a48d4 · inbound
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks cites this paper.
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks The general theory of permutation equivarant neural networks and higher order graph variational encoders
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:46:23.204836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 017bc13b-c496-4f0d-9ae9-d596f432b64e · inbound
EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion cites this paper.
EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion The general theory of permutation equivarant neural networks and higher order graph variational encoders
Reference 112
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:52:36.252923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.