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Paper Citation Record · LEDGER

An evaluation of unconditional 3D molecular generation methods

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2505.00518.

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

pith.paper-citation-record.v1
2505.00518 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:45:40.973796Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:25:08.374190Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T17:25:08.581601Z

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 003ce3b0-6550-45a2-898c-6d951d0d20a8 · outbound

This paper cites Cormorant: Covariant molecular neural networks.

An evaluation of unconditional 3D molecular generation methods Cormorant: Covariant molecular neural networks

Reference 1

Resolution
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Observation d6da0db8-3b83-4c33-b44f-2628e165a44e · outbound

This paper cites GEOM , energy-annotated molecular conformations for property prediction and molecular generation.

An evaluation of unconditional 3D molecular generation methods GEOM , energy-annotated molecular conformations for property prediction and molecular generation

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a574857e-a8da-4f45-862e-dd77cb1c807a · outbound

This paper cites Deep generative models for 3D molecular structure.

An evaluation of unconditional 3D molecular generation methods Deep generative models for 3D molecular structure

Reference 3

Resolution
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Observation 6bd2ac6a-89a4-4a2c-ab24-562167aabd92 · outbound

This paper cites Richard Bickerton, Gaia V.

An evaluation of unconditional 3D molecular generation methods Richard Bickerton, Gaia V

Reference 4

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Source-reported events for the cited work

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Observation bd531012-0308-456e-a6f8-027546272326 · outbound

This paper cites Segler, and Alain C.

An evaluation of unconditional 3D molecular generation methods Segler, and Alain C

Reference 5

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Source-reported events for the cited work

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Observation 9d058352-78f2-46e0-b979-5e187b9c3e2c · outbound

This paper cites Morris, and Charlotte M.

An evaluation of unconditional 3D molecular generation methods Morris, and Charlotte M

Reference 6

Resolution
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Source-reported events for the cited work

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Observation a5101018-4d0f-4be3-bbf8-76b3dfd9fb6f · outbound

This paper cites an unresolved cited work.

An evaluation of unconditional 3D molecular generation methods Unresolved cited work

Reference 7

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Observation 113cea1d-9a2a-40d5-aeec-6fe0ed997e4d · outbound

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

An evaluation of unconditional 3D molecular generation methods Exploring Discrete Flow Matching for 3D De Novo Molecule Generation

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 4d81aa02-88cc-442b-a72d-5d53a2f90766 · outbound

This paper cites Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions.

An evaluation of unconditional 3D molecular generation methods Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions

Reference 9

Resolution
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Source-reported events for the cited work

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Observation efa83e84-34f1-430b-8c51-873a8c937294 · outbound

This paper cites Equivariant diffusion for molecule generation in 3D.

An evaluation of unconditional 3D molecular generation methods Equivariant diffusion for molecule generation in 3D

Reference 10

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Source-reported events for the cited work

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Observation fa00178a-5c5b-4e0f-ac44-4bfd8c021a29 · outbound

This paper cites Efficient 3D molecular generation with flow matching and scale optimal transport.

An evaluation of unconditional 3D molecular generation methods Efficient 3D molecular generation with flow matching and scale optimal transport

Reference 11

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Observation d6cd71c4-f8ca-4500-8590-ff34037f9cab · outbound

This paper cites DrugBank 6.0: The DrugBank knowledgebase for 2024.

An evaluation of unconditional 3D molecular generation methods DrugBank 6.0: The DrugBank knowledgebase for 2024

Reference 12

Resolution
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Observation f639775f-b383-4790-8592-60f2f83f1fff · outbound

This paper cites Spacial score-a comprehensive topological indicator for small-molecule complexity.

An evaluation of unconditional 3D molecular generation methods Spacial score-a comprehensive topological indicator for small-molecule complexity

Reference 13

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Observation d5b06808-c474-4c46-90bc-109b97b3049b · outbound

This paper cites Scalfani, Rachel Walker, Kazuya Ujihara, Daniel Probst, Juuso Lehtivarjo, Guillaume Godin, Axel Pahl, Fran c ois Fran c ois B \'e renger, and Hussein Faara.

An evaluation of unconditional 3D molecular generation methods Scalfani, Rachel Walker, Kazuya Ujihara, Daniel Probst, Juuso Lehtivarjo, Guillaume Godin, Axel Pahl, Fran c ois Fran c ois B \'e renger, and Hussein Faara

Reference 14

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Observation 5148ab0b-dfd6-4c43-b56e-26d79b87ad0d · outbound

This paper cites Navigating the design space of equivariant diffusion-based generative models for de novo 3D molecule generation.

An evaluation of unconditional 3D molecular generation methods Navigating the design space of equivariant diffusion-based generative models for de novo 3D molecule generation

Reference 15

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Source-reported events for the cited work

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Observation 88eb9e0a-7598-41dd-9916-e5f4976a9cb0 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

An evaluation of unconditional 3D molecular generation methods UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 16

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Source-reported events for the cited work

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Observation 5b1f85ee-a44f-4c50-9221-a07775846d52 · outbound

This paper cites Geometry-complete diffusion for 3D molecule generation and optimization.

An evaluation of unconditional 3D molecular generation methods Geometry-complete diffusion for 3D molecule generation and optimization

Reference 17

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Observation 3b4ba15b-5d30-4206-93c7-2aae9be269b5 · outbound

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An evaluation of unconditional 3D molecular generation methods Unresolved cited work

Reference 18

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Observation 068fc503-a60f-496b-baec-831ed72a7c3a · outbound

This paper cites Open Babel : An open chemical toolbox.

An evaluation of unconditional 3D molecular generation methods Open Babel : An open chemical toolbox

Reference 19

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Observation f50436ff-4113-4876-aff9-621cd99b5c92 · outbound

This paper cites MolDiff : Addressing the atom-bond inconsistency problem in 3D molecule diffusion generation.

An evaluation of unconditional 3D molecular generation methods MolDiff : Addressing the atom-bond inconsistency problem in 3D molecule diffusion generation

Reference 20

Resolution
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Observation 11c64a6b-3f04-410e-a4e8-11cb7f291bd0 · outbound

This paper cites Molecular sets ( MOSES ): A benchmarking platform for molecular generation models.

An evaluation of unconditional 3D molecular generation methods Molecular sets ( MOSES ): A benchmarking platform for molecular generation models

Reference 21

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Observation ee45e958-21df-4e32-83c6-00c33bbfe5ae · outbound

This paper cites Fr \'e chet ChemNet distance: A metric for generative models for molecules in drug discovery.

An evaluation of unconditional 3D molecular generation methods Fr \'e chet ChemNet distance: A metric for generative models for molecules in drug discovery

Reference 22

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An evaluation of unconditional 3D molecular generation methods Unresolved cited work

Reference 23

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An evaluation of unconditional 3D molecular generation methods Unresolved cited work

Reference 24

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Observation 0c3a3146-6f1b-424f-925c-aff29f331036 · outbound

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

An evaluation of unconditional 3D molecular generation methods E(n) Equivariant Graph Neural Networks

Reference 25

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Observation 13d04719-9b78-4bc5-8407-10705828936a · outbound

This paper cites Equivariant flow matching with hybrid probability transport for 3D molecule generation.

An evaluation of unconditional 3D molecular generation methods Equivariant flow matching with hybrid probability transport for 3D molecule generation

Reference 26

Resolution
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Source-reported events for the cited work

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Observation 9612e5dd-56b9-49bf-9888-6d40ecdc2432 · outbound

This paper cites MiDi : Mixed graph and 3D denoising diffusion for molecule generation.

An evaluation of unconditional 3D molecular generation methods MiDi : Mixed graph and 3D denoising diffusion for molecule generation

Reference 27

Resolution
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Source-reported events for the cited work

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An evaluation of unconditional 3D molecular generation methods Unresolved cited work

Reference 28

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Observation a272b650-f73e-4dce-ab28-55bba73ccf10 · outbound

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An evaluation of unconditional 3D molecular generation methods Wildman and Gordon M

Reference 29

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Source-reported events for the cited work

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This paper cites Dror, Stefano Ermon, and Jure Leskovec.

An evaluation of unconditional 3D molecular generation methods Dror, Stefano Ermon, and Jure Leskovec

Reference 30

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An evaluation of unconditional 3D molecular generation methods Unresolved cited work

Reference 31

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An evaluation of unconditional 3D molecular generation methods write newline

Reference 32

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This paper cites @esa (Ref.

An evaluation of unconditional 3D molecular generation methods @esa (Ref

Reference 33

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An evaluation of unconditional 3D molecular generation methods Unresolved cited work

Reference 34

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An evaluation of unconditional 3D molecular generation methods Unresolved cited work

Reference 35

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Pith citing papers

Observation 2027c9eb-7ab3-4f2b-9d84-d5db85563db5 · inbound

FlowMol3: Flow Matching for 3D De Novo Small-Molecule Generation cites this paper.

FlowMol3: Flow Matching for 3D De Novo Small-Molecule Generation An evaluation of unconditional 3D molecular generation methods

Reference 48

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local_arxiv, observed 2026-08-15T17:25:08.586988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-15T17:25:08.374190Z digest=sha256:398ad89cd775fd1d0c19592514035e77811a3f08e6a0903eff8c27b72734b71a