A Periodic Bayesian Flow for Material Generation | Paper Citation Record

Observation ee28b7e7-0704-496e-9dff-92cc07423f37 · outbound

This paper cites Crystal-gfn: sampling crystals with desirable properties and constraints.

A Periodic Bayesian Flow for Material Generation Crystal-gfn: sampling crystals with desirable properties and constraints

Reference 1

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Observation 077133bf-bfb1-4f4c-80bb-9e9b4d3ae2ba · outbound

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

A Periodic Bayesian Flow for Material Generation Equivariant energy-guided SDE for inverse molecular design

Reference 2

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Observation 52f1926b-9426-4449-bcf0-381e3eaa0bff · outbound

This paper cites Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures.

A Periodic Bayesian Flow for Material Generation Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures

Reference 3

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Observation 54bc5098-363a-47c9-ac96-622f313a2a6f · outbound

This paper cites Projector augmented-wave method.

A Periodic Bayesian Flow for Material Generation Projector augmented-wave method

Reference 4

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Observation 85ce46c2-74f2-48f8-ab65-b6463f30a175 · outbound

This paper cites Riemannian score-based generative modelling.

A Periodic Bayesian Flow for Material Generation Riemannian score-based generative modelling

Reference 5

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Observation 59f821cd-f8e9-4245-ae0a-af1431ce4216 · outbound

This paper cites Geometry optimization of periodic systems using internal coordinates.

A Periodic Bayesian Flow for Material Generation Geometry optimization of periodic systems using internal coordinates

Reference 6

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Observation da948cbd-7039-4622-b094-5b7fd28f7588 · outbound

This paper cites Machine learning for molecular and materials science.

A Periodic Bayesian Flow for Material Generation Machine learning for molecular and materials science

Reference 7

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Observation 4d0d6a45-dc22-4952-bd79-6017bb7e7410 · outbound

This paper cites Space group informed transformer for crystalline materials generation.

A Periodic Bayesian Flow for Material Generation Space group informed transformer for crystalline materials generation

Reference 8

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Observation 9594f7b5-17de-4859-a7b2-1781a68bec43 · outbound

This paper cites New cubic perovskites for one-and two-photon water splitting using the computational materials repository.

A Periodic Bayesian Flow for Material Generation New cubic perovskites for one-and two-photon water splitting using the computational materials repository

Reference 9

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Observation edfdcb27-2a7d-45da-92b2-8a30f0f95c58 · outbound

This paper cites Computational screening of perovskite metal oxides for optimal solar light capture.

A Periodic Bayesian Flow for Material Generation Computational screening of perovskite metal oxides for optimal solar light capture

Reference 10

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Observation 5e82b11a-10d7-4ba9-9c37-ad8df0532844 · outbound

This paper cites Lawrence Zitnick, and Zachary Ulissi.

A Periodic Bayesian Flow for Material Generation Lawrence Zitnick, and Zachary Ulissi

Reference 11

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Observation 188af516-4647-45b7-945c-2beb0ff9e7c6 · outbound

This paper cites A universal graph deep learning interatomic potential for the periodic table.

A Periodic Bayesian Flow for Material Generation A universal graph deep learning interatomic potential for the periodic table

Reference 12

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Observation b308ac0d-4b5f-4dac-afdd-26a93a36a17a · outbound

This paper cites A universal graph deep learning interatomic potential for the periodic table.

A Periodic Bayesian Flow for Material Generation A universal graph deep learning interatomic potential for the periodic table

Reference 13

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Observation a8a0023b-5c59-4b40-9feb-a4358687e92d · outbound

This paper cites Graph networks as a universal machine learning framework for molecules and crystals.

A Periodic Bayesian Flow for Material Generation Graph networks as a universal machine learning framework for molecules and crystals

Reference 14

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Observation 8d04fa71-5a32-4483-857a-670330146612 · outbound

This paper cites Flow Matching on General Geometries.

A Periodic Bayesian Flow for Material Generation Flow Matching on General Geometries

Reference 15

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Observation f85a749e-0442-46bd-b9d7-d5523f88c194 · outbound

This paper cites Crystal structure prediction by combining graph network and optimization algorithm.

A Periodic Bayesian Flow for Material Generation Crystal structure prediction by combining graph network and optimization algorithm

Reference 16

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Observation 93e10b46-e790-4c3f-901e-76aee6b4b34c · outbound

This paper cites Jaakkola.

A Periodic Bayesian Flow for Material Generation Jaakkola

Reference 17

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Observation 70466178-8034-42c7-920b-dc79af8af0f0 · outbound

This paper cites 3-d inorganic crystal structure generation and property prediction via representation learning.

A Periodic Bayesian Flow for Material Generation 3-d inorganic crystal structure generation and property prediction via representation learning

Reference 18

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Observation a9da4f39-1d8e-41d4-8ec6-28f2febeaca5 · outbound

This paper cites Smact: Semiconducting materials by analogy and chemical theory.

A Periodic Bayesian Flow for Material Generation Smact: Semiconducting materials by analogy and chemical theory

Reference 19

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Observation f694a011-6401-470c-8517-e4449cef5480 · outbound

This paper cites Cryptic crystallography.

A Periodic Bayesian Flow for Material Generation Cryptic crystallography

Reference 20

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Observation cf0c6af3-61eb-4f09-8f2d-4f990971324e · outbound

This paper cites Chiral and achiral crystal structures.

A Periodic Bayesian Flow for Material Generation Chiral and achiral crystal structures

Reference 21

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Observation da2b5050-2a2c-4377-9ce1-af1fe6a84636 · outbound

This paper cites Pyxtal: A python library for crystal structure generation and symmetry analysis.

A Periodic Bayesian Flow for Material Generation Pyxtal: A python library for crystal structure generation and symmetry analysis

Reference 22

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Observation 1b0feab5-30bf-44b5-9dcf-3e76e86e037a · outbound

This paper cites Worrall, Volker Fischer, and Max Welling.

A Periodic Bayesian Flow for Material Generation Worrall, Volker Fischer, and Max Welling

Reference 23

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Observation 1f2f6c4d-d7da-4d39-9484-32ebc523cc9f · outbound

This paper cites Margraf, and Stephan G \"u nnemann.

A Periodic Bayesian Flow for Material Generation Margraf, and Stephan G \"u nnemann

Reference 24

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Observation 58a96c16-4a1d-432b-bdeb-c8bfdfc76b14 · outbound

This paper cites Gemnet: Universal directional graph neural networks for molecules.

A Periodic Bayesian Flow for Material Generation Gemnet: Universal directional graph neural networks for molecules

Reference 25

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Observation 0978d8ca-76a8-4f59-a41e-f35895774b87 · outbound

This paper cites Gemnet: Universal directional graph neural networks for molecules.

A Periodic Bayesian Flow for Material Generation Gemnet: Universal directional graph neural networks for molecules

Reference 26

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Observation df1c0a7a-bb38-4b47-9528-9062c2e1451e · outbound

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

A Periodic Bayesian Flow for Material Generation Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules

Reference 27

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Observation f37cb14c-0129-4610-a32b-47fbbc16706e · outbound

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

A Periodic Bayesian Flow for Material Generation u ller, and Kristof T Sch \

Reference 28

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Observation 81e447bd-f748-4542-b3e2-5068f3b9c0da · outbound

This paper cites Neural message passing for quantum chemistry.

A Periodic Bayesian Flow for Material Generation Neural message passing for quantum chemistry

Reference 29

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Observation d81bb0e0-f159-4f0d-bf04-b7a1b61c4249 · outbound

This paper cites Uspex—evolutionary crystal structure prediction.

A Periodic Bayesian Flow for Material Generation Uspex—evolutionary crystal structure prediction

Reference 30

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Observation a773a09b-b21e-4943-b1c8-473b3e0ce9cb · outbound

This paper cites Generative adversarial networks.

A Periodic Bayesian Flow for Material Generation Generative adversarial networks

Reference 31

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Observation 04930127-db61-4db1-9ac8-06bfb812f210 · outbound

This paper cites Bayesian Flow Networks.

A Periodic Bayesian Flow for Material Generation Bayesian Flow Networks

Reference 32

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Observation 09f35291-1727-4fc0-abf8-bd69a9dede27 · outbound

This paper cites Numerically stable algorithms for the computation of reduced unit cells.

A Periodic Bayesian Flow for Material Generation Numerically stable algorithms for the computation of reduced unit cells

Reference 33

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Observation 73508491-4329-4be5-8593-38552eb0474d · outbound

This paper cites Fine-Tuned Language Models Generate Stable Inorganic Materials as Text.

A Periodic Bayesian Flow for Material Generation Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 34

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Observation f09804e8-505a-4cb4-aab8-ebf4f09d414b · outbound

This paper cites Finding the location of a signal: A bayesian analysis.

A Periodic Bayesian Flow for Material Generation Finding the location of a signal: A bayesian analysis

Reference 35

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Observation bfe5ab3b-92aa-4f21-a316-b5c230c06b55 · outbound

This paper cites Ab-initio simulations of materials using vasp: Density-functional theory and beyond.

A Periodic Bayesian Flow for Material Generation Ab-initio simulations of materials using vasp: Density-functional theory and beyond

Reference 36

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Observation 2da7ef27-d067-4858-9c90-58424270fc8e · outbound

This paper cites Denoising diffusion probabilistic models.

A Periodic Bayesian Flow for Material Generation Denoising diffusion probabilistic models

Reference 37

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Observation 743e9deb-41fc-4e8a-a66b-28344d7eb6a9 · outbound

This paper cites Denoising diffusion probabilistic models.

A Periodic Bayesian Flow for Material Generation Denoising diffusion probabilistic models

Reference 38

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Observation a0a91dae-43fb-495c-a0e0-3f1507d8c556 · outbound

This paper cites Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures.

A Periodic Bayesian Flow for Material Generation Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures

Reference 39

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Observation 1a2f0014-1516-4d77-8d32-94512414332b · outbound

This paper cites Crystal structure prediction by data mining.

A Periodic Bayesian Flow for Material Generation Crystal structure prediction by data mining

Reference 40

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Observation 57c972fc-7a0e-4c8d-b737-4c787bf44422 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.

A Periodic Bayesian Flow for Material Generation Argmax flows and multinomial diffusion: Learning categorical distributions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.769258Z

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Observation 41d312b0-3d7f-40e4-aeb8-ea9b36f0d5e1 · outbound

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

A Periodic Bayesian Flow for Material Generation Equivariant diffusion for molecule generation in 3d

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.772234Z

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Observation e2d23059-3f7f-4555-a890-1659403da261 · outbound

This paper cites Distance matrix-based crystal structure prediction using evolutionary algorithms.

A Periodic Bayesian Flow for Material Generation Distance matrix-based crystal structure prediction using evolutionary algorithms

Reference 43

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Observation 1b949797-f71b-403e-91b8-0ef5bcf21696 · outbound

This paper cites Contact map based crystal structure prediction using global optimization.

A Periodic Bayesian Flow for Material Generation Contact map based crystal structure prediction using global optimization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.777485Z

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Observation cebbcebb-8035-41a6-9e8c-197bbab07c28 · outbound

This paper cites Riemannian diffusion models.

A Periodic Bayesian Flow for Material Generation Riemannian diffusion models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.780134Z

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Observation e557c1e6-151b-4fa7-8222-73dd807de144 · outbound

This paper cites On-the-fly machine learning of atomic potential in density functional theory structure optimization.

A Periodic Bayesian Flow for Material Generation On-the-fly machine learning of atomic potential in density functional theory structure optimization

Reference 46

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Observation 498f2ff1-d2a3-45ae-8c0b-309f024314db · outbound

This paper cites Commentary: The materials project: A materials genome approach to accelerating materials innovation.

A Periodic Bayesian Flow for Material Generation Commentary: The materials project: A materials genome approach to accelerating materials innovation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.785651Z

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Observation 27fb15b9-9624-404d-8b27-1478f4598efd · outbound

This paper cites Crystal structure prediction by joint equivariant diffusion on lattices and fractional coordinates.

A Periodic Bayesian Flow for Material Generation Crystal structure prediction by joint equivariant diffusion on lattices and fractional coordinates

Reference 48

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Observation 869f5366-922f-4438-96ce-0fdb11f5b5e7 · outbound

This paper cites Space Group Constrained Crystal Generation.

A Periodic Bayesian Flow for Material Generation Space Group Constrained Crystal Generation

Reference 49

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Observation 237dd33c-9c45-42b7-9367-4e281b26b0fb · outbound

This paper cites Torsional diffusion for molecular conformer generation.

A Periodic Bayesian Flow for Material Generation Torsional diffusion for molecular conformer generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.794092Z

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Observation e4e0d3bf-d3bf-4eab-b22d-6e629f114a22 · outbound

This paper cites Highly accurate protein structure prediction with AlphaFold.

A Periodic Bayesian Flow for Material Generation Highly accurate protein structure prediction with AlphaFold

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.796787Z

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Observation c5b0cf66-f5fc-4196-bfa7-cadda23c6966 · outbound

This paper cites Generative adversarial networks for crystal structure prediction.

A Periodic Bayesian Flow for Material Generation Generative adversarial networks for crystal structure prediction

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.799488Z

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Observation 9b6a5313-6e12-40c9-8142-daad25205fab · outbound

This paper cites Variational Graph Auto-Encoders.

A Periodic Bayesian Flow for Material Generation Variational Graph Auto-Encoders

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.802113Z

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Observation b525643b-0382-4ee5-b277-6939a2b12856 · outbound

This paper cites von Mises-Fisher distributions and their statistical divergence.

A Periodic Bayesian Flow for Material Generation von Mises-Fisher distributions and their statistical divergence

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.805205Z

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Observation ee69c14c-7f60-4075-9c99-883be72d37a0 · outbound

This paper cites Unified Model for Crystalline Material Generation.

A Periodic Bayesian Flow for Material Generation Unified Model for Crystalline Material Generation

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:47:40.365785Z

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Observation 9adcd8f6-e50b-4ef4-a220-d4b4e7b42874 · outbound

This paper cites Self-consistent equations including exchange and correlation effects.

A Periodic Bayesian Flow for Material Generation Self-consistent equations including exchange and correlation effects

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.810933Z

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Observation d9d4a95b-cf25-44f5-b3cd-2563bb2df506 · outbound

This paper cites u rgen Furthm \.

A Periodic Bayesian Flow for Material Generation u rgen Furthm \

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.813898Z

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Observation 924df85f-6d9b-4fe1-a69b-84b1d61c9e35 · outbound

This paper cites Efficient evaluation of the probability density function of a wrapped normal distribution.

A Periodic Bayesian Flow for Material Generation Efficient evaluation of the probability density function of a wrapped normal distribution

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.816634Z

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Observation 006788e9-51cd-4eb2-8894-6e14d050e2d5 · outbound

This paper cites Crystal structure prediction with machine learning-based element substitution.

A Periodic Bayesian Flow for Material Generation Crystal structure prediction with machine learning-based element substitution

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.819463Z

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Observation f2e6803a-f4ae-419e-b9da-7fc67050b654 · outbound

This paper cites Modern directional statistics.

A Periodic Bayesian Flow for Material Generation Modern directional statistics

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.822094Z

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Observation de2fa8fa-cf4a-4f93-9830-d5f0aeb8e37a · outbound

This paper cites Equivariant diffusion for crystal structure prediction.

A Periodic Bayesian Flow for Material Generation Equivariant diffusion for crystal structure prediction

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.824924Z

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Observation 2cc178d1-be68-45bc-8b9b-d360e0aec010 · outbound

This paper cites Flow Matching for Generative Modeling.

A Periodic Bayesian Flow for Material Generation Flow Matching for Generative Modeling

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.827746Z

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Observation 226d6a51-f876-4fd8-8c03-dd563dac9449 · outbound

This paper cites Materials discovery and design using machine learning.

A Periodic Bayesian Flow for Material Generation Materials discovery and design using machine learning

Reference 63

Resolution: verified exact; doi, observed 2026-08-09T13:47:40.079586Z

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Observation e0e7a71d-c204-45f6-88fc-36d7f9faf817 · outbound

This paper cites Antigen-specific antibody design and optimization with diffusion-based generative models for protein structures.

A Periodic Bayesian Flow for Material Generation Antigen-specific antibody design and optimization with diffusion-based generative models for protein structures

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.833468Z

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Observation d15ab7af-16fa-48f9-902d-dffd70400d8d · outbound

This paper cites Deep learning generative model for crystal structure prediction.

A Periodic Bayesian Flow for Material Generation Deep learning generative model for crystal structure prediction

Reference 65

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Observation b50febc7-9e6a-40d6-b149-17376ad5263c · outbound

This paper cites Towards symmetry-aware generation of periodic materials.

A Periodic Bayesian Flow for Material Generation Towards symmetry-aware generation of periodic materials

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.216878Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b283427-1f04-4ae3-a72a-76af503d7e1d · outbound

This paper cites Bayesian inference for the von mises-fisher distribution.

A Periodic Bayesian Flow for Material Generation Bayesian inference for the von mises-fisher distribution

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.208269Z

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Observation c6db39f9-bf56-4610-b204-e4823b9d59f3 · outbound

This paper cites Directional statistics.

A Periodic Bayesian Flow for Material Generation Directional statistics

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.845392Z

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Observation 61b6cff5-79db-467b-b1b8-8ac65d2c7136 · outbound

This paper cites an unresolved cited work.

A Periodic Bayesian Flow for Material Generation Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:47:41.195717Z

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Observation e4272419-55dc-4f9a-82c2-fb9cdc3cc7fb · outbound

This paper cites Improved denoising diffusion probabilistic models.

A Periodic Bayesian Flow for Material Generation Improved denoising diffusion probabilistic models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.851044Z

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Observation d14153c4-122a-4f4e-bb6c-9a38ec8247ba · outbound

This paper cites Krystallographische und strukturtheoretische Grundbegriffe, volume 1.

A Periodic Bayesian Flow for Material Generation Krystallographische und strukturtheoretische Grundbegriffe, volume 1

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.182756Z

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Observation ea9700d4-79dd-49c7-b546-4e46885a9410 · outbound

This paper cites Inverse design of solid-state materials via a continuous representation.

A Periodic Bayesian Flow for Material Generation Inverse design of solid-state materials via a continuous representation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.857460Z

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Unavailable: canonical work link unavailable.

Observation ed676526-dae4-4522-a3e6-56ef3909cd4b · outbound

This paper cites CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks.

A Periodic Bayesian Flow for Material Generation CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.860377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54f3b064-6131-4771-9d23-c0f66edd7b90 · outbound

This paper cites Structure prediction drives materials discovery.

A Periodic Bayesian Flow for Material Generation Structure prediction drives materials discovery

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.169089Z

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Observation 3d6b29ce-4463-41da-85f5-8a1f4d246ffc · outbound

This paper cites Python materials genomics (pymatgen): A robust, open-source python library for materials analysis.

A Periodic Bayesian Flow for Material Generation Python materials genomics (pymatgen): A robust, open-source python library for materials analysis

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.160765Z

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Observation 70fda61c-52c9-4b76-b06e-907a7285f42c · outbound

This paper cites Human-and machine-centred designs of molecules and materials for sustainability and decarbonization.

A Periodic Bayesian Flow for Material Generation Human-and machine-centred designs of molecules and materials for sustainability and decarbonization

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.152246Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 879aa7e3-dbc7-4c28-b415-911969141a8b · outbound

This paper cites Generalized gradient approximation made simple.

A Periodic Bayesian Flow for Material Generation Generalized gradient approximation made simple

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.143982Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a074d5d-fe1a-4f93-8065-11afb0b89918 · outbound

This paper cites an unresolved cited work.

A Periodic Bayesian Flow for Material Generation Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:47:41.135678Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fbe54389-b0d9-4ff6-8d7d-752365e54a8f · outbound

This paper cites Ab initio random structure searching.

A Periodic Bayesian Flow for Material Generation Ab initio random structure searching

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.878141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6a56942-7512-4c8d-bf67-a601d0e348c5 · outbound

This paper cites Accelerating crystal structure prediction by machine-learning interatomic potentials with active learning.

A Periodic Bayesian Flow for Material Generation Accelerating crystal structure prediction by machine-learning interatomic potentials with active learning

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.122927Z

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Observation 80de4b4a-7ba9-4335-bba2-047cc4ad671c · outbound

This paper cites MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space.

A Periodic Bayesian Flow for Material Generation MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.883697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 403d1f1f-714f-406f-9862-ddda5a6ce166 · outbound

This paper cites Language models are unsupervised multitask learners.

A Periodic Bayesian Flow for Material Generation Language models are unsupervised multitask learners

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.886886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a804fe46-6719-428c-a4c9-2d97763a4c64 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

A Periodic Bayesian Flow for Material Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.889615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d551f0c7-9466-460b-934f-ba523a6eab43 · outbound

This paper cites Aberle, Shijing Sun, Xiaonan Wang, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, and Tonio Buonassisi.

A Periodic Bayesian Flow for Material Generation Aberle, Shijing Sun, Xiaonan Wang, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, and Tonio Buonassisi

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.892545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58ec37d9-c710-4253-a302-c20e5f2dbc97 · outbound

This paper cites Fokker-planck equation.

A Periodic Bayesian Flow for Material Generation Fokker-planck equation

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.895539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f30b288-94aa-410f-8217-105500e511ed · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2021.

A Periodic Bayesian Flow for Material Generation High-resolution image synthesis with latent diffusion models, 2021

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.898143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57899bcb-a995-40c7-b646-4f6ad36fd5e3 · outbound

This paper cites E (n) equivariant graph neural networks.

A Periodic Bayesian Flow for Material Generation E (n) equivariant graph neural networks

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.100507Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03658b97-af4b-4ac7-aca8-1d8afbbf9b02 · outbound

This paper cites Recent advances and applications of machine learning in solid-state materials science.

A Periodic Bayesian Flow for Material Generation Recent advances and applications of machine learning in solid-state materials science

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.092208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17ce2ba7-4bd3-48a4-8435-9b4a25ff177e · outbound

This paper cites u tt, Huziel E Sauceda, P-J Kindermans, Alexandre Tkatchenko, and K-R M \.

A Periodic Bayesian Flow for Material Generation u tt, Huziel E Sauceda, P-J Kindermans, Alexandre Tkatchenko, and K-R M \

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.083688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 582ba599-929d-415d-9060-b3ead9e4a11b · outbound

This paper cites Learning gradient fields for molecular conformation generation.

A Periodic Bayesian Flow for Material Generation Learning gradient fields for molecular conformation generation

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.074928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e316b8c4-8043-4069-b090-0bcea0894846 · outbound

This paper cites Protein Sequence and Structure Co-Design with Equivariant Translation.

A Periodic Bayesian Flow for Material Generation Protein Sequence and Structure Co-Design with Equivariant Translation

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:47:40.325726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b2ac735-d440-4eb5-ab15-d7ad12e7ab7d · outbound

This paper cites Representation-space diffusion models for generating periodic materials.

A Periodic Bayesian Flow for Material Generation Representation-space diffusion models for generating periodic materials

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:47:40.313904Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 21144ffd-d92e-4acd-b948-1581e1d3ef95 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

A Periodic Bayesian Flow for Material Generation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.918534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 748a3a0e-7e40-4113-ae38-8fe1fd5e8da5 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

A Periodic Bayesian Flow for Material Generation Generative modeling by estimating gradients of the data distribution

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.921422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1321595-c4d1-449d-bba2-18614465f952 · outbound

This paper cites Improved techniques for training score-based generative models.

A Periodic Bayesian Flow for Material Generation Improved techniques for training score-based generative models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.924078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 991de172-a3e9-48c6-a013-c64573f6d121 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

A Periodic Bayesian Flow for Material Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.926848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8e15e20-eba4-472b-aa6b-af6fc73399d4 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

A Periodic Bayesian Flow for Material Generation Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.052748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7eb1f42e-2a40-4719-b55e-a1e493085d55 · outbound

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

A Periodic Bayesian Flow for Material Generation Unified generative modeling of 3d molecules with bayesian flow networks

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:39.932878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a89cfb7-2b8c-4c34-844d-9b36110663ec · outbound

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

A Periodic Bayesian Flow for Material Generation Equivariant flow matching with hybrid probability transport for 3d molecule generation

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.039377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a3452c6-6f09-4aa5-b1b3-d5aefb749d26 · outbound

This paper cites Bayesian inference with the von-mises-fisher distribution in 3d, 2017.

A Periodic Bayesian Flow for Material Generation Bayesian inference with the von-mises-fisher distribution in 3d, 2017

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:47:41.030068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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