Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.01717.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:57:40.257682Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T07:20:28.573534Z
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 88142563-9b1c-49d6-955e-3f02f5f6491e · inbound
A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials cites this paper.
A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:57:40.257682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 680743b2-0fef-43c5-af33-891fa705b4c8 · inbound
Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery cites this paper.
Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T07:20:28.576127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fc43c7f1-89e3-4263-ac03-110be2d38c95 · inbound
GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks cites this paper.
GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:34:17.949375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.