Paper Citation Record · LEDGER

ViSNet: an equivariant geometry-enhanced graph neural network with vector-scalar interactive message passing for molecules

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.16518.

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

pith.paper-citation-record.v1
2210.16518 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:10:54.334117Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-09T16:26:03.623900Z

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 2d24938c-ed4c-4518-bdc4-b5aeff49ffd3 · inbound

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity cites this paper.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity ViSNet: an equivariant geometry-enhanced graph neural network with vector-scalar interactive message passing for molecules

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-09T16:26:03.629037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a58fe5b0-230d-4c5f-a5e4-bd96363e9634 · inbound

DEQuify your force field: More efficient simulations using deep equilibrium models cites this paper.

DEQuify your force field: More efficient simulations using deep equilibrium models ViSNet: an equivariant geometry-enhanced graph neural network with vector-scalar interactive message passing for molecules

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T16:10:54.334117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07332d62-934f-4532-979a-f77dfb3d525d · inbound

Shoot from the HIP: Hessian Interatomic Potentials without derivatives cites this paper.

Shoot from the HIP: Hessian Interatomic Potentials without derivatives ViSNet: an equivariant geometry-enhanced graph neural network with vector-scalar interactive message passing for molecules

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:22.002271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 177e67a7-9dc4-4201-93c9-e730861b9ba4 · inbound

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations cites this paper.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations ViSNet: an equivariant geometry-enhanced graph neural network with vector-scalar interactive message passing for molecules

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T12:39:52.155798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.