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Paper Citation Record · LEDGER

Equivariant Neural Diffusion for Molecule Generation

As of 23 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.10532.

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

pith.paper-citation-record.v1
2506.10532 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:34:54.987437Z

measured 56 of 56 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 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

56 of 56 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bad4c884-4ef0-414b-a17a-b8fba4f6171f · outbound

This paper cites Scaling deep learning for materials discovery.

Equivariant Neural Diffusion for Molecule Generation Scaling deep learning for materials discovery

Reference 1

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Observation 2e90d826-9411-4bff-a59a-54ffe7c7a7f2 · outbound

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

Equivariant Neural Diffusion for Molecule Generation Enumeration of 166 billion organic small molecules in the chemical universe database gdb-17

Reference 2

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Observation 62baaf9c-c990-44ef-9a91-b44533cef6bb · outbound

This paper cites Generative models as an emerging paradigm in the chemical sciences.

Equivariant Neural Diffusion for Molecule Generation Generative models as an emerging paradigm in the chemical sciences

Reference 3

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Observation 29493741-228a-42e4-ab9a-b859b2fb41e3 · outbound

This paper cites Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules.

Equivariant Neural Diffusion for Molecule Generation Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules

Reference 4

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Observation 36294a47-83d9-4ca1-9118-5525e0ff2874 · outbound

This paper cites u ller, and Kristof T Sch \.

Equivariant Neural Diffusion for Molecule Generation u ller, and Kristof T Sch \

Reference 5

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Observation 4da4a4dd-aa13-4873-b970-c1d6ddd7a75a · outbound

This paper cites An autoregressive flow model for 3d molecular geometry generation from scratch.

Equivariant Neural Diffusion for Molecule Generation An autoregressive flow model for 3d molecular geometry generation from scratch

Reference 6

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Observation 0af211ce-8286-4072-bee9-36d52b8769e1 · outbound

This paper cites Symphony: Symmetry-equivariant point-centered spherical harmonics for 3d molecule generation.

Equivariant Neural Diffusion for Molecule Generation Symphony: Symmetry-equivariant point-centered spherical harmonics for 3d molecule generation

Reference 7

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Observation 08e47200-bca7-4d00-a481-7b244ea0ffaf · outbound

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

Equivariant Neural Diffusion for Molecule Generation Equivariant diffusion for molecule generation in 3d

Reference 8

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Observation 0134e624-2646-40b7-a50b-f6ab2fc5393c · outbound

This paper cites Midi: Mixed graph and 3d denoising diffusion for molecule generation.

Equivariant Neural Diffusion for Molecule Generation Midi: Mixed graph and 3d denoising diffusion for molecule generation

Reference 9

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0e534296-bbc6-493c-863a-298c33a63ee4 · outbound

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

Equivariant Neural Diffusion for Molecule Generation Navigating the design space of equivariant diffusion-based generative models for de novo 3d molecule generation

Reference 10

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Observation b7ac42fe-5092-4606-a0c1-2483dad5a5ac · outbound

This paper cites Machine learning force fields.

Equivariant Neural Diffusion for Molecule Generation Machine learning force fields

Reference 11

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Source-reported events for the cited work

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Observation 5d062889-5108-4cca-ae44-5daa81edaff4 · outbound

This paper cites u tt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, and Klaus-Robert M \.

Equivariant Neural Diffusion for Molecule Generation u tt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, and Klaus-Robert M \

Reference 12

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Observation 66aa00ba-506b-45e8-9ff0-b09a050be3ca · outbound

This paper cites Equivariant message passing for the prediction of tensorial properties and molecular spectra.

Equivariant Neural Diffusion for Molecule Generation Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 13

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Observation 0bc4d2df-5954-44de-b936-439f77eddc92 · outbound

This paper cites E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials.

Equivariant Neural Diffusion for Molecule Generation E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Reference 14

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Observation 6976ec1d-948f-4562-a8d3-2c5914504d36 · outbound

This paper cites Mace: Higher order equivariant message passing neural networks for fast and accurate force fields.

Equivariant Neural Diffusion for Molecule Generation Mace: Higher order equivariant message passing neural networks for fast and accurate force fields

Reference 15

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Observation 3539757d-e579-4260-ad1d-3b4b3a826671 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.

Equivariant Neural Diffusion for Molecule Generation Diffusion models: A comprehensive survey of methods and applications

Reference 16

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Observation 1829d999-0dc2-454e-be58-329c7ce65142 · outbound

This paper cites Neural Diffusion Models.

Equivariant Neural Diffusion for Molecule Generation Neural Diffusion Models

Reference 17

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Observation 674f024c-08fe-4c35-ac94-5fadc68c740d · outbound

This paper cites Diffenc: Variational diffusion with a learned encoder.

Equivariant Neural Diffusion for Molecule Generation Diffenc: Variational diffusion with a learned encoder

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8c1e6062-658b-4a37-b6c6-6e33ee397e6f · outbound

This paper cites Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling.

Equivariant Neural Diffusion for Molecule Generation Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling

Reference 19

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Unavailable: canonical work link unavailable.

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Observation f65a9bc8-f268-42f8-8cf8-1e83afa40134 · outbound

This paper cites E (n) equivariant normalizing flows.

Equivariant Neural Diffusion for Molecule Generation E (n) equivariant normalizing flows

Reference 20

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Source-reported events for the cited work

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Observation 291a1efe-34b2-46ad-afb8-7c7e9aa6ac53 · outbound

This paper cites Geodiff: A geometric diffusion model for molecular conformation generation.

Equivariant Neural Diffusion for Molecule Generation Geodiff: A geometric diffusion model for molecular conformation generation

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 53ca83d2-5a58-4781-a928-7f395c26d4db · outbound

This paper cites Equivariant energy-guided SDE for inverse molecular design.

Equivariant Neural Diffusion for Molecule Generation Equivariant energy-guided SDE for inverse molecular design

Reference 22

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Source-reported events for the cited work

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Observation ef4f77ac-be63-4de6-940b-f40eb3d719c7 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Equivariant Neural Diffusion for Molecule Generation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 23

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Observation 0e9d1b39-5317-4a3f-bcc6-00098b17ef79 · outbound

This paper cites Denoising diffusion probabilistic models.

Equivariant Neural Diffusion for Molecule Generation Denoising diffusion probabilistic models

Reference 24

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Source-reported events for the cited work

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Observation aa51a831-a23f-41c7-a54e-6efea3620a4a · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Equivariant Neural Diffusion for Molecule Generation Score-based generative modeling through stochastic differential equations

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cee00a9b-3ed9-499f-94eb-c5761f0e36a6 · outbound

This paper cites Applied stochastic differential equations, volume 10.

Equivariant Neural Diffusion for Molecule Generation Applied stochastic differential equations, volume 10

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dc913116-75d9-4e8e-b25e-3ebaca58aeee · outbound

This paper cites Reverse-time diffusion equation models.

Equivariant Neural Diffusion for Molecule Generation Reverse-time diffusion equation models

Reference 27

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f0b7d662-99c8-4802-bc6c-524b1e4a4f7c · outbound

This paper cites A connection between score matching and denoising autoencoders.

Equivariant Neural Diffusion for Molecule Generation A connection between score matching and denoising autoencoders

Reference 28

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7814f482-24fa-4a33-9fde-f0e566b33550 · outbound

This paper cites Timewarp: Transferable acceleration of molecular dynamics by learning time-coarsened dynamics.

Equivariant Neural Diffusion for Molecule Generation Timewarp: Transferable acceleration of molecular dynamics by learning time-coarsened dynamics

Reference 29

Resolution
verified fuzzy
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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.

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Observation 8ae578a7-6e38-4a17-aba2-e1e70232eded · outbound

This paper cites Eigenfold: Generative protein structure prediction with diffusion models.

Equivariant Neural Diffusion for Molecule Generation Eigenfold: Generative protein structure prediction with diffusion models

Reference 30

Resolution
verified fuzzy
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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.

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Observation 64481dc9-fae8-4d32-89f0-b7a9f8a51b47 · outbound

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

Equivariant Neural Diffusion for Molecule Generation Efficient 3d molecular generation with flow matching and scale optimal transport

Reference 31

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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.

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Observation 55597ebc-2e2f-4afd-b57a-199c9a03d2a3 · outbound

This paper cites Conditional synthesis of 3d molecules with time correction sampler.

Equivariant Neural Diffusion for Molecule Generation Conditional synthesis of 3d molecules with time correction sampler

Reference 32

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verified fuzzy
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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.

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Observation cc17fd6a-b7f3-4a7a-92f1-cd0591cbebe9 · outbound

This paper cites Practical and asymptotically exact conditional sampling in diffusion models.

Equivariant Neural Diffusion for Molecule Generation Practical and asymptotically exact conditional sampling in diffusion models

Reference 33

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T04:34:53.536043Z digest=sha256:1cfb4579c7d100bfad425edc1c0965c7ba597a21ce7965e79a95fbc5f4513fbc

Observation 1c8b0205-1d1f-4c83-aa4c-6d33d9344b2d · outbound

This paper cites Quantum chemistry structures and properties of 134 kilo molecules.

Equivariant Neural Diffusion for Molecule Generation Quantum chemistry structures and properties of 134 kilo molecules

Reference 34

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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.

source=arxiv_source observed=2026-08-07T04:34:53.592808Z digest=sha256:88c4eea25f0d4334ba6a5aa28456d0462dc212d3f6c0afd071d60ce9af1ccb6f

Observation 3425f5cf-f156-423b-93b8-528ab828e0a6 · outbound

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

Equivariant Neural Diffusion for Molecule Generation Geom, energy-annotated molecular conformations for property prediction and molecular generation

Reference 35

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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.

source=arxiv_source observed=2026-08-07T04:34:53.656446Z digest=sha256:fa4ffaa92caee0a5b59bc8c16978a5edecd39e1c753f9f4b2c0e678170a00963

Observation 121fb77e-ed2b-45ee-ba33-06e572b467c8 · outbound

This paper cites Geometric latent diffusion models for 3d molecule generation.

Equivariant Neural Diffusion for Molecule Generation Geometric latent diffusion models for 3d molecule generation

Reference 36

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raw_fallback, observed 2026-08-07T04:34:56.156229Z

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.

source=arxiv_source observed=2026-08-07T04:34:53.721514Z digest=sha256:9bd268ad0dab3a0c6c2be73909e22a64696eaafffaa10f28c84880d142b65715

Observation 765fd1da-92d6-4327-8979-2adcc89e6b70 · outbound

This paper cites Coarse-to-fine: a hierarchical diffusion model for molecule generation in 3d.

Equivariant Neural Diffusion for Molecule Generation Coarse-to-fine: a hierarchical diffusion model for molecule generation in 3d

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:56.143523Z

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.

source=arxiv_source observed=2026-08-07T04:34:53.789000Z digest=sha256:69c867ee6c8b2b03d1b9dff834c9bb4c2598de3fba478a125feafc476b0a08ef

Observation a26e5573-56e6-4390-9a3d-0e34763e44af · outbound

This paper cites Diffusion-based molecule generation with informative prior bridges.

Equivariant Neural Diffusion for Molecule Generation Diffusion-based molecule generation with informative prior bridges

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:56.130904Z

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.

source=arxiv_source observed=2026-08-07T04:34:53.841507Z digest=sha256:71a1b5ea04814ae088ddf1652d9e4e64554c2c1032bb7ae6895a2d2827f0d691

Observation d3f647b4-6211-44ee-ac27-72aa1d6afbfa · outbound

This paper cites Unified generative modeling of 3d molecules with bayesian flow networks.

Equivariant Neural Diffusion for Molecule Generation Unified generative modeling of 3d molecules with bayesian flow networks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T04:34:53.915493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:34:53.915493Z digest=sha256:086c8f6a37450ad81d11a1bc467261d729a4267d3ced96c45bc6ccf65ed95869

Observation 954bfe29-def0-4b99-b42b-be842f43f615 · outbound

This paper cites Bayesian flow networks, 2024.

Equivariant Neural Diffusion for Molecule Generation Bayesian flow networks, 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:56.108370Z

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.

source=arxiv_source observed=2026-08-07T04:34:53.965164Z digest=sha256:72443a65d263e714e79c26b55a8b4a4f0c7f9810f79c2a5ba1fb60936bbc548b

Observation 10e28cf5-6af8-4e26-bdf9-f21c431906dc · outbound

This paper cites Variational diffusion models.

Equivariant Neural Diffusion for Molecule Generation Variational diffusion models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T04:34:54.036214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:34:54.036214Z digest=sha256:09d700b716b01a52e2b475901d52c6436095439b969ea153734c50dfca292382

Observation 9d8b2121-13de-4264-a1c7-40a818e1b8a3 · outbound

This paper cites Open babel: An open chemical toolbox.

Equivariant Neural Diffusion for Molecule Generation Open babel: An open chemical toolbox

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:56.085923Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.087627Z digest=sha256:3434c041a44a9f0455844541b0244cd5dcfe0ef2e876f4a6c6b9bcd839fc204e

Observation 809f00b6-5bae-42a7-be1e-92bf44d522cd · outbound

This paper cites Reinforcement learning for molecular design guided by quantum mechanics.

Equivariant Neural Diffusion for Molecule Generation Reinforcement learning for molecular design guided by quantum mechanics

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:56.072611Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.140530Z digest=sha256:3076ddc64792c58312062b6612d7c151da1bd50fd14f504062002509804a80c3

Observation cf2a3fd5-aa02-46f1-815e-740cf1d34b59 · outbound

This paper cites Equivariant 3d-conditional diffusion model for molecular linker design.

Equivariant Neural Diffusion for Molecule Generation Equivariant 3d-conditional diffusion model for molecular linker design

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:56.059379Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.183822Z digest=sha256:87863e9c26219856684c5eec300f4351a9d89d558dab84f361914ad3705a6a19

Observation a33d8422-2b1d-4231-8184-42de1f8a75ad · outbound

This paper cites Shape-based generative modeling for de novo drug design.

Equivariant Neural Diffusion for Molecule Generation Shape-based generative modeling for de novo drug design

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:56.045357Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.252193Z digest=sha256:9250f7c8b1ebacd5a9756c362bd3b0b6c173d39fa873b6f311ca671c79622da1

Observation 80e07b21-3128-47a1-ba2c-9158a8503e6f · outbound

This paper cites Generating 3d molecules conditional on receptor binding sites with deep generative models.

Equivariant Neural Diffusion for Molecule Generation Generating 3d molecules conditional on receptor binding sites with deep generative models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:56.029546Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.315863Z digest=sha256:80eafe629aa2e55c9d32099fb2c59c74f19ff2664f264eb8422a0364dc672ef4

Observation b8a4b0db-6de5-4b6e-bde1-ef423b765c5a · outbound

This paper cites 3d molecule generation by denoising voxel grids.

Equivariant Neural Diffusion for Molecule Generation 3d molecule generation by denoising voxel grids

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:56.012405Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.378446Z digest=sha256:1a1fa6eb6de2db475c7634fc456987ddf92e39482f62c550da2f652f299d902d

Observation 1eaeab42-b128-4d8f-8263-ae908647d995 · outbound

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

Equivariant Neural Diffusion for Molecule Generation Moldiff: Addressing the atom-bond inconsistency problem in 3d molecule diffusion generation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:55.998206Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.434941Z digest=sha256:26f848c7951e8f3ee2aca4981a626d8b1f3fa30077fbc3b72438131b04c4f866

Observation fdd982b5-183d-44c5-9257-2ab7eaf864ba · outbound

This paper cites Flow matching for generative modeling.

Equivariant Neural Diffusion for Molecule Generation Flow matching for generative modeling

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:55.981498Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.483506Z digest=sha256:d92486287a367ae36e224fd799dc82f1d612c76abedf6131a21916c905fdb6e8

Observation e19c77f6-9c97-4757-a2e2-4f4389239633 · outbound

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

Equivariant Neural Diffusion for Molecule Generation Equivariant flow matching with hybrid probability transport for 3d molecule generation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:55.942392Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.526642Z digest=sha256:1b3a8af4c90b969a6674d1233a9cd7235fb9155df87c0ae5737a545eb1cf6202

Observation 72851b5d-29e8-40bb-9c2e-986150551eb4 · outbound

This paper cites Analog bits: Generating discrete data using diffusion models with self-conditioning.

Equivariant Neural Diffusion for Molecule Generation Analog bits: Generating discrete data using diffusion models with self-conditioning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:55.632507Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.581623Z digest=sha256:eefe033b53fd45c02aaa318885d9d679154fccd965b4eed65054b35bbdd3872b

Observation 464e44ae-a2e9-4107-b086-dfe5ff0fedc4 · outbound

This paper cites A kernel two-sample test.

Equivariant Neural Diffusion for Molecule Generation A kernel two-sample test

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T04:34:54.668011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:34:54.668011Z digest=sha256:4771e5d7de88e0cad213dfe69ec97a08de2dfe50476a7ed0058ef2b245f33f8e

Observation 8d9c579a-c268-4703-945b-0f86a00908cc · outbound

This paper cites Rdkit: A software suite for cheminformatics, computational chemistry, and predictive modeling.

Equivariant Neural Diffusion for Molecule Generation Rdkit: A software suite for cheminformatics, computational chemistry, and predictive modeling

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:55.427157Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.673666Z digest=sha256:62896856cf0bac525bddc9b445530d672d4e65d7a5d9f1375031442bc293a997

Observation e332e184-9d82-4137-ab28-a86c1721fc13 · outbound

This paper cites Smiles, a chemical language and information system.

Equivariant Neural Diffusion for Molecule Generation Smiles, a chemical language and information system

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T04:34:54.759214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:34:54.759214Z digest=sha256:8f1ce8ecda560cb9b285a98ccf4374514d841e0af05254194997506d0ff49fa4

Observation c8b7116c-61de-47ec-bbec-563e69427fa7 · outbound

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

Equivariant Neural Diffusion for Molecule Generation Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:55.318615Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.866018Z digest=sha256:14ebe18604a887d67ba569bfc55e9527c9096fa9ef633640581102db8aae2eb9

Observation 2114d399-26ea-4356-9136-ddb990fb0996 · outbound

This paper cites Representation learning on biomolecular structures using equivariant graph attention.

Equivariant Neural Diffusion for Molecule Generation Representation learning on biomolecular structures using equivariant graph attention

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:34:55.199447Z

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.

source=arxiv_source observed=2026-08-07T04:34:54.987437Z digest=sha256:7a55bf83f9eb68da6637dfbacc30065f7dcc51deb1bcea0c6709e5a85ef538d6

Pith citing papers

No inbound Pith citation observations are available.