Paper Citation Record · LEDGER

Equivariant Diffusion for Molecule Generation in 3D

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2203.17003.

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

pith.paper-citation-record.v1
2203.17003 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:17.180714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:55:50.503167Z

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 18bfeae0-52f1-48ab-8eed-6efa7fa48e7c · inbound

A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules cites this paper.

A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules Equivariant Diffusion for Molecule Generation in 3D

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:17.180714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a038cf-89aa-40ac-8272-035abc704dd8 · inbound

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly cites this paper.

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly Equivariant Diffusion for Molecule Generation in 3D

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:22.931304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa9996f4-28ac-4ec9-91bf-bb6443172b8c · inbound

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models cites this paper.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Equivariant Diffusion for Molecule Generation in 3D

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:50.449886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 370eaf3a-fa2e-420c-a06f-d7809ef45f1f · inbound

A Deep Generative Model for the Simulation of Discrete Karst Networks cites this paper.

A Deep Generative Model for the Simulation of Discrete Karst Networks Equivariant Diffusion for Molecule Generation in 3D

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:56.122309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ffce5ce-d193-4600-9f09-6a2aa1acbe26 · 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 Equivariant Diffusion for Molecule Generation in 3D

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:57:42.084359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12eedd47-4020-4c11-a606-c676ba9e03e8 · inbound

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames cites this paper.

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames Equivariant Diffusion for Molecule Generation in 3D

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T07:22:14.024751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88abbe64-2a3d-475b-88f9-246151dcd362 · inbound

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation cites this paper.

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation Equivariant Diffusion for Molecule Generation in 3D

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T21:42:03.301252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 211612c8-8328-4808-833e-53196e4091db · inbound

Differentiable Normative Guidance for Nash Bargaining Solution Recovery cites this paper.

Differentiable Normative Guidance for Nash Bargaining Solution Recovery Equivariant Diffusion for Molecule Generation in 3D

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T17:09:18.112748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cddfc3eb-95a0-450e-96f7-77d2046483f3 · inbound

Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics cites this paper.

Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics Equivariant Diffusion for Molecule Generation in 3D

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T12:05:54.442913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64800b65-78f7-464f-b98d-da8fd5f6ee91 · inbound

Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation cites this paper.

Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation Equivariant Diffusion for Molecule Generation in 3D

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:20:54.771191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 213f1c26-68a8-42e8-8abe-8734f5c5c70a · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery Equivariant Diffusion for Molecule Generation in 3D

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:39:26.423542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0fe5ef6a-d1cf-48be-ad18-84c893aaa2e9 · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery Equivariant Diffusion for Molecule Generation in 3D

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:55:03.205159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a9c05772-6f44-4743-bd5f-8df048622ff8 · inbound

Domain-Gated Latent Diffusion: Generative Inverse Design of HMX-Class Energetic Materials with First-Principles Validation cites this paper.

Domain-Gated Latent Diffusion: Generative Inverse Design of HMX-Class Energetic Materials with First-Principles Validation Equivariant Diffusion for Molecule Generation in 3D

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:55:50.504670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5bbe0e71-7c16-4091-b2b6-28124f5246f5 · inbound

Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective cites this paper.

Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective Equivariant Diffusion for Molecule Generation in 3D

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:35:40.446142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1740cfea-9a74-4540-901e-734498647451 · inbound

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning cites this paper.

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning Equivariant Diffusion for Molecule Generation in 3D

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T22:02:29.790613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.