Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.15389.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:16.505120Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T02:47:37.339353Z
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 5579bd01-37be-4a31-ac4b-65fec44d2b72 · inbound
Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control cites this paper.
Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:55:16.505120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c403af10-56a2-459c-ae2d-ed232f691fd6 · inbound
Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction cites this paper.
Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T20:37:45.318935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d97e892-40ea-4029-bf2c-43a506970d4a · inbound
Ab initio parametrization of distributed polarizable force fields cites this paper.
Ab initio parametrization of distributed polarizable force fields Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T02:47:37.340635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.