Paper Citation Record · LEDGER

Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2110.01717.

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

pith.paper-citation-record.v1
2110.01717 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 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:05:49.335468Z

measured 0 of 1 external citation measurements

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 8284d071-b514-44ef-9663-f460708f60b8 · inbound

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules cites this paper.

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T19:20:38.346576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05c1b4ed-9e4c-4df2-9869-34711c1895e8 · inbound

OpenQDC: Open Quantum Data Commons cites this paper.

OpenQDC: Open Quantum Data Commons Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T06:01:04.685219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f9d4e4d-97b3-4f2c-a178-ae2d3744eb64 · inbound

EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks cites this paper.

EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:49.335468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-23T06:30:58.430688+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.