Paper Citation Record · LEDGER

Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.12347.

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

pith.paper-citation-record.v1
2305.12347 v2

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 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:56:55.240514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:15:54.526468Z

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 c3d9daaa-a0ed-4f2a-a140-a40d13992048 · inbound

Exploring Discrete Flow Matching for 3D De Novo Molecule Generation cites this paper.

Exploring Discrete Flow Matching for 3D De Novo Molecule Generation Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T12:56:55.240514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9edff99-96e4-45b4-ad38-f70b043107f4 · inbound

Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation cites this paper.

Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T11:43:30.351917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 634520cf-8ed0-49b6-849c-63cc45efb52d · inbound

TFG-Flow: Training-free Guidance in Multimodal Generative Flow cites this paper.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T15:20:40.231433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a44ca290-51bf-4437-ba26-50f3d20dc374 · inbound

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation cites this paper.

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T11:28:55.077269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9ec55a0-7ab0-428f-b240-a832cd92616a · inbound

Toward Better Geometric Representations for Molecule Generative Models cites this paper.

Toward Better Geometric Representations for Molecule Generative Models Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:54.529063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 25e3a852-1d5b-4d9e-990b-665cd02764a8 · inbound

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation cites this paper.

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:24.933813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.