Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.11969.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T04:32:49.022368Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T11:04:22.274738Z
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 d2bea16d-feed-45d7-b15d-1ffba1de9cbb · inbound
Explaining the Explainers in Graph Neural Networks: a Comparative Study cites this paper.
Explaining the Explainers in Graph Neural Networks: a Comparative Study Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Reference 108
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T11:04:22.277700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c543fb8b-a490-4893-b7ec-cf3b0a77d1bf · inbound
Algebraic Priors for Approximately Equivariant Networks cites this paper.
Algebraic Priors for Approximately Equivariant Networks Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T00:10:47.497868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4f4e721d-511f-4f34-a388-33ad7da49329 · inbound
Turbulence teaches equivariance to neural networks cites this paper.
Turbulence teaches equivariance to neural networks Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:32:49.022368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.