Paper Citation Record · LEDGER

VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.07194.

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

pith.paper-citation-record.v1
2404.07194 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:12:20.928575Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:37:19.197050Z

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 0f28283c-f4c8-4bfe-b8ec-4fcdae4c981c · inbound

From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering cites this paper.

From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:20.928575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b40e6d35-b14a-452a-81ba-bde747e28498 · inbound

RAPID-Net: Accurate Pocket Identification for Binding-Site-Agnostic Docking cites this paper.

RAPID-Net: Accurate Pocket Identification for Binding-Site-Agnostic Docking VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T12:29:03.417435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2135f24-1b56-4fc4-a567-0e8eead958c5 · inbound

Accurate and scalable exchange-correlation with deep learning cites this paper.

Accurate and scalable exchange-correlation with deep learning VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:07:13.958447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61556ef5-3180-450f-bf59-b87f29b350d1 · inbound

Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks cites this paper.

Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T15:02:49.484920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31ed7e7-18c6-4a02-ac07-b4ae79b37a56 · inbound

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning cites this paper.

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

Reference 194

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:06:44.064140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a12a1d3d-4880-4c60-bf34-1780b75c9565 · inbound

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:37:19.198593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.