Paper Citation Record · LEDGER

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation

As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2501.07077.

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

pith.paper-citation-record.v1
2501.07077 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:52:11.144471Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy28
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d274029e-e996-4ecf-a122-58dc6e83c406 · outbound

This paper cites Ab Initio Machine Learning in Chemical Compound Space.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Ab Initio Machine Learning in Chemical Compound Space

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.702653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1ce6582b-6784-403a-b803-da1e5ef61f28 · outbound

This paper cites Learning matter: Materials design with machine learning and atomistic simulations.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Learning matter: Materials design with machine learning and atomistic simulations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.693192Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 115fb596-c163-4e88-b019-65172cad96ad · outbound

This paper cites Integrated Molecular Modeling and Machine Learning for Drug Design.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Integrated Molecular Modeling and Machine Learning for Drug Design

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.683085Z

Source-reported events for the cited work

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Observation 8a1e44f0-4c76-4797-ae64-849ffbe819cb · outbound

This paper cites Highly accurate protein structure prediction with AlphaFold.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Highly accurate protein structure prediction with AlphaFold

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.673129Z

Source-reported events for the cited work

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Observation 7569cb2c-22aa-41bc-8f80-89b0ed9115d4 · outbound

This paper cites Design of Efficient Molecular Organic Light-Emitting Diodes by a High-Throughput Virtual Screening and Experimental Approach.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Design of Efficient Molecular Organic Light-Emitting Diodes by a High-Throughput Virtual Screening and Experimental Approach

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.663662Z

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Observation a5991222-59a1-49b3-93b5-4b94cc5d0e7d · outbound

This paper cites The chemical space project.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation The chemical space project

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.653602Z

Source-reported events for the cited work

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Observation 88f01a09-d337-4562-88fb-c435304c6f77 · outbound

This paper cites Enumeration of 166 billion organic small molecules in the chemical universe database GDB-17.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Enumeration of 166 billion organic small molecules in the chemical universe database GDB-17

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.643585Z

Source-reported events for the cited work

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Observation 59823bc3-48d8-431e-9992-2efd8e1e421e · outbound

This paper cites Physics-Guided Reinforcement Learning for 3D Molecular Structures.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Physics-Guided Reinforcement Learning for 3D Molecular Structures

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.634428Z

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Observation f7705545-6ddf-41a2-95f5-27771e541960 · outbound

This paper cites Artificial Intelligence to Deep Learning: Machine Intelligence Approach for Drug Discovery.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Artificial Intelligence to Deep Learning: Machine Intelligence Approach for Drug Discovery

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.625341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4251851c-1489-4665-bddb-530f25932f1f · outbound

This paper cites Generative design, manufacturing, and molecular modeling of 3D architected materials based on natural language input.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Generative design, manufacturing, and molecular modeling of 3D architected materials based on natural language input

Reference 10

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:52:11.616577Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4f9748d3-c5bf-4b78-b482-c5f257412e7c · outbound

This paper cites MatterGen: a generative model for inorganic materials design.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation MatterGen: a generative model for inorganic materials design

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:11.044822Z

Source-reported events for the cited work

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Observation f782d4aa-c9ce-4c12-a019-3721e392b75c · outbound

This paper cites Generative Design of Crystal Structures by Point Cloud Representations and Diffusion Model.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Generative Design of Crystal Structures by Point Cloud Representations and Diffusion Model

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:52:11.386157Z

Source-reported events for the cited work

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Observation 225a8d46-3494-4dba-a7b0-ba8d9b0c09d0 · outbound

This paper cites Silvr: Guided diffusion for molecule generation.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Silvr: Guided diffusion for molecule generation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.605777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b76454f2-c0fd-47b4-92e2-6d89c36d861d · outbound

This paper cites Semi-Equivariant Conditional Normalizing Flows, with Applications to Target-Aware Molecule Generation.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Semi-Equivariant Conditional Normalizing Flows, with Applications to Target-Aware Molecule Generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.595261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6677fd33-373a-487a-8fe7-ec8cda3b08ca · outbound

This paper cites Molecular Generation with Recurrent Neural Networks (RNNs).

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Molecular Generation with Recurrent Neural Networks (RNNs)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:11.060547Z

Source-reported events for the cited work

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Observation d492bec5-7733-42b1-be25-94c32179e873 · outbound

This paper cites Bidirectional Molecule Generation with Recurrent Neural Networks.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Bidirectional Molecule Generation with Recurrent Neural Networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.585121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 22a38963-6779-43b7-8a26-076c47911162 · outbound

This paper cites Symmetry-Adapted Generation of 3D Point Sets for the Targeted Discovery of Molecules.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Symmetry-Adapted Generation of 3D Point Sets for the Targeted Discovery of Molecules

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.574109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e8c8bc4c-0f4a-44b5-a2a2-ccdebcd6b457 · outbound

This paper cites Schnet–A Deep Learning Architecture for Molecules and Materials.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Schnet–A Deep Learning Architecture for Molecules and Materials

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.563173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a975342-860e-4468-b22f-5b98cb35efed · outbound

This paper cites E (N) Equivariant Normalizing Flows.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation E (N) Equivariant Normalizing Flows

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.552729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d4b88908-c903-4c08-926f-6baddb368f93 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Denoising Diffusion Probabilistic Models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.541451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8637d05f-57fe-4396-9714-af85715c5a75 · outbound

This paper cites Equivariant Diffusion for Molecule Gen- eration in 3D.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Equivariant Diffusion for Molecule Gen- eration in 3D

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.531596Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bccaabf6-0863-43f0-bf8e-164ab3ef2ba2 · outbound

This paper cites E (N) Equivariant Graph Neural Networks.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation E (N) Equivariant Graph Neural Networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.521371Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9297e0fb-a96b-47a2-a6df-662c84542487 · outbound

This paper cites Scalable Diffusion Models with Transformers.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Scalable Diffusion Models with Transformers

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.510525Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d2aa2ff-3449-418f-b65d-81e062c22b83 · outbound

This paper cites Se (3)-Transformers: 3D Roto-Translation Equivariant Attention Networks.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Se (3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.498593Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8422d575-40c9-41d8-8892-a57fb53f293e · outbound

This paper cites Quantum Chemistry Structures and Properties of 134 Kilo Molecules.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Quantum Chemistry Structures and Properties of 134 Kilo Molecules

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.487231Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5030006f-413f-4971-b381-508bb5180887 · outbound

This paper cites GEOM: Energy-annotated molecular conformations for property prediction and molecular generation.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Reference 26

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Source-reported events for the cited work

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Observation 47674894-0b9a-423f-a708-4dd7c1dbf2e0 · outbound

This paper cites U-Net: Convolutional Networks for Biomedi- cal Image Segmentation.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation U-Net: Convolutional Networks for Biomedi- cal Image Segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.476419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 305fe6af-2dcb-4b1a-a620-6f4fbcac5cde · outbound

This paper cites Attention is All You Need.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Attention is All You Need

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.465028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e82a546f-278a-4f1e-b3db-d736cbb81aea · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation High-Resolution Image Synthesis with Latent Diffusion Models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.453456Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c92b1cce-108c-4671-9b98-9b8a83ac9f89 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:11.122564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508164d4-3ff4-45fd-8b11-c34af587de56 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:11.126475Z

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Unavailable: canonical work link unavailable.

Observation 83928b6f-6471-4cf4-b7be-ff4a68fcda1b · outbound

This paper cites Geometry-Complete Diffusion for 3D Molecule Generation and Optimization.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Geometry-Complete Diffusion for 3D Molecule Generation and Optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:11.130027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a75d865-b036-475f-b254-83d14084498f · outbound

This paper cites MDM: Molecular Diffusion Model for 3D Molecule Generation.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation MDM: Molecular Diffusion Model for 3D Molecule Generation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.441826Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ec68e79-f8be-4539-8202-ba4e55f82827 · outbound

This paper cites Learning Joint 2D and 3D Graph Diffusion Models for Complete Molecule Generation.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Learning Joint 2D and 3D Graph Diffusion Models for Complete Molecule Generation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.430226Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce705f4e-6d16-4143-9f9c-13562294599f · outbound

This paper cites MIDI: Mixed Graph and 3D Denoising Diffusion for Molecule Generation.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation MIDI: Mixed Graph and 3D Denoising Diffusion for Molecule Generation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.418023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac552374-53b8-4850-91ff-028e6180b765 · outbound

This paper cites Geometric Latent Diffusion Models for 3D Molecule Generation.

D3MES: Diffusion Transformer with multihead equivariant self-attention for 3D molecule generation Geometric Latent Diffusion Models for 3D Molecule Generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:11.407291Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.