Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
3D Infomax improves GNNs for Molecular Property Prediction
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.04126.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:26:38.433263Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:26:24.165225Z
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 9e83eaee-48c9-4c89-ae57-864b8ca0a96d · inbound
Attention-based graph neural networks: a survey cites this paper.
Attention-based graph neural networks: a survey 3D Infomax improves GNNs for Molecular Property Prediction
Reference 170
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:26:24.975131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 41692d35-c028-4fed-a5a6-f40702ebda21 · inbound
DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution cites this paper.
DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution 3D Infomax improves GNNs for Molecular Property Prediction
Reference 174
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:26:24.167003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1a69412e-949a-45f9-a155-4da6489b52ba · inbound
ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density cites this paper.
ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density 3D Infomax improves GNNs for Molecular Property Prediction
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:26:38.433263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.