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Paper Citation Record · LEDGER

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models

As of 19 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2511.02986.

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

pith.paper-citation-record.v1
2511.02986 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:06:01.425444Z

measured 71 of 71 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T20:56:51.578763Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:57:59.261655Z

Reference resolution

69 of 69 outbound references displayed

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Outbound references

Observation 679f98ae-ee24-4063-8280-493627cdf7a6 · outbound

This paper cites TheHuman CellAtlas: fromvisiontoreality.Nature,550(7677):451–453,2017.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models TheHuman CellAtlas: fromvisiontoreality.Nature,550(7677):451–453,2017

Reference 1

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Observation f16cdf54-ada8-4bf8-9a20-50de6bde91cb · outbound

This paper cites Thescverseprojectprovidesacomputationalecosystem forsingle-cellomicsdataanalysis.Naturebiotechnology,41(5):604–606,2023.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Thescverseprojectprovidesacomputationalecosystem forsingle-cellomicsdataanalysis.Naturebiotechnology,41(5):604–606,2023

Reference 2

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Observation 9252533e-8145-4ee2-b255-b0945180c5a0 · outbound

This paper cites Single-celltranscriptional diversityisahallmarkofdevelopmentalpotential.Science,367(6476):405,2020.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Single-celltranscriptional diversityisahallmarkofdevelopmentalpotential.Science,367(6476):405,2020

Reference 3

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Observation 21285a49-5a65-4d53-972a-8173ec3d54a1 · outbound

This paper cites Single-cellrnasequencing-basedcomputationalanalysistodescribedisease heterogeneity.FrontiersinGenetics,10:629,2019.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Single-cellrnasequencing-basedcomputationalanalysistodescribedisease heterogeneity.FrontiersinGenetics,10:629,2019

Reference 4

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Observation faa9626e-0e45-4209-b90c-5af93425eb0a · outbound

This paper cites Predicting cel- lularresponsestoperturbationacrossdiversecontextswithSTATE.bioRxiv,pages2025–06,2025.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Predicting cel- lularresponsestoperturbationacrossdiversecontextswithSTATE.bioRxiv,pages2025–06,2025

Reference 5

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Observation 7c738f92-ff94-4c89-a9a6-aa78d9d9871f · outbound

This paper cites Modellingcellularperturbationswiththesparseadditive mechanismshiftvariationalautoencoder.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Modellingcellularperturbationswiththesparseadditive mechanismshiftvariationalautoencoder

Reference 6

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Observation 0285d703-c2c2-4d0b-869f-c1bd384a9919 · outbound

This paper cites Tahoe-100m: Agiga-scalesingle-cell perturbationatlasforcontext-dependentgenefunctionandcellularmodeling.BioRxiv,pages2025–02, 2025.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Tahoe-100m: Agiga-scalesingle-cell perturbationatlasforcontext-dependentgenefunctionandcellularmodeling.BioRxiv,pages2025–02, 2025

Reference 7

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Observation ba35dadb-92c3-45cb-b84d-343c06844b37 · outbound

This paper cites Eleven grandchallengesinsingle-celldatascience.Genomebiology,21:1–35,2020.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Eleven grandchallengesinsingle-celldatascience.Genomebiology,21:1–35,2020

Reference 8

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Observation dab61fb6-dcf7-4080-b66f-85206364f91c · outbound

This paper cites Bench- markingatlas-leveldataintegrationinsingle-cellgenomics.Naturemethods,19(1):41–50,2022.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Bench- markingatlas-leveldataintegrationinsingle-cellgenomics.Naturemethods,19(1):41–50,2022

Reference 9

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Observation 08ccb885-f00b-419a-be1b-71d74f8182c4 · outbound

This paper cites Single-cellgenomics: approaches andutilityinimmunology.Trendsinimmunology,38(2):140–149,2017.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Single-cellgenomics: approaches andutilityinimmunology.Trendsinimmunology,38(2):140–149,2017

Reference 10

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Observation fdc7e65c-9b07-40db-9694-f71559dd307e · outbound

This paper cites SpringerInternationalPublishing,2024.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models SpringerInternationalPublishing,2024

Reference 11

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Observation 5e4aa226-0188-4b45-b55b-0e0aeea888a5 · outbound

This paper cites Deep generative modelingforsingle-celltranscriptomics.Naturemethods,15(12):1053–1058,2018.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Deep generative modelingforsingle-celltranscriptomics.Naturemethods,15(12):1053–1058,2018

Reference 12

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Observation 8c627a74-63ae-427c-bd78-79643e866682 · outbound

This paper cites Predictingcellular responses to complex perturbations in high-throughput screens.Molecular systems biology, 19(6): e11517,2023.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Predictingcellular responses to complex perturbations in high-throughput screens.Molecular systems biology, 19(6): e11517,2023

Reference 13

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Observation e9307aa8-08d2-4efb-a490-33323b25aec4 · outbound

This paper cites Predictingcellmorphologicalresponses toperturbationsusinggenerativemodeling.NatureCommunications,16(1):505,2025.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Predictingcellmorphologicalresponses toperturbationsusinggenerativemodeling.NatureCommunications,16(1):505,2025

Reference 14

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Observation dd87fa2b-27f8-4af7-8bc3-7a2e2c42266d · outbound

This paper cites Deepgenerativemodelingoftranscriptionaldynamicsforrnavelocity analysisinsinglecells.NatureMethods,21(1):50–59,2024.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Deepgenerativemodelingoftranscriptionaldynamicsforrnavelocity analysisinsinglecells.NatureMethods,21(1):50–59,2024

Reference 15

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Observation 85dcef1e-d304-4f0f-a32c-f9edfe00ca2d · outbound

This paper cites Theis, Aaron Streets, Michael I.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Theis, Aaron Streets, Michael I

Reference 16

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Observation 7586ace5-7727-4aee-8278-372694a78778 · outbound

This paper cites Realisticinsilicogenerationandaugmentationofsingle-cellrna-seqdata usinggenerativeadversarialnetworks.Naturecommunications,11(1):166,2020.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Realisticinsilicogenerationandaugmentationofsingle-cellrna-seqdata usinggenerativeadversarialnetworks.Naturecommunications,11(1):166,2020

Reference 17

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Observation 483be370-a1ef-4856-a6a9-07cd6a025688 · outbound

This paper cites an unresolved cited work.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Unresolved cited work

Reference 18

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Observation 9848210a-c659-430f-a668-68b0491e8b82 · outbound

This paper cites scdiffusion: conditional generation of high-qualitysingle-celldatausingdiffusionmodel.Bioinformatics,40(9),2024.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models scdiffusion: conditional generation of high-qualitysingle-celldatausingdiffusionmodel.Bioinformatics,40(9),2024

Reference 19

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Observation c379730b-03b2-4755-a3a2-e5a6bd192336 · outbound

This paper cites Multi-modalandmulti-attributegenerationofsinglecellswithcfgen.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Multi-modalandmulti-attributegenerationofsinglecellswithcfgen

Reference 20

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Observation 052cf73b-c6d4-4b3c-8f46-c1cd855590e4 · outbound

This paper cites Sit: Exploringflowanddiffusion-basedgenerativemodelswithscalableinterpolanttransformers.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Sit: Exploringflowanddiffusion-basedgenerativemodelswithscalableinterpolanttransformers

Reference 21

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Observation af285ea5-8097-4072-9092-03d98f581e37 · outbound

This paper cites Scalablediffusionmodelswithtransformers.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Scalablediffusionmodelswithtransformers

Reference 22

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Observation 411baed6-a8ea-4d55-bc48-4cbc75503796 · outbound

This paper cites Auto-encodingvariational {Bayes}.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Auto-encodingvariational {Bayes}

Reference 23

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Observation 63794e86-936c-4fce-9278-80f14598f5c1 · outbound

This paper cites Stochastic backpropagation and approximateinferenceindeepgenerativemodels.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Stochastic backpropagation and approximateinferenceindeepgenerativemodels

Reference 24

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Observation a7d5a27f-6e07-482b-81d8-75d0461a27d6 · outbound

This paper cites Setvae: Learninghierarchicalcomposition forgenerativemodelingofset-structureddata.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Setvae: Learninghierarchicalcomposition forgenerativemodelingofset-structureddata

Reference 25

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Observation b64530dd-623f-4dd4-9782-0cdd6ca71cc6 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 26

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Observation b243432a-1741-4138-9028-5cd85822a9bc · outbound

This paper cites Deepsets.Advancesinneuralinformationprocessingsystems,30,2017.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Deepsets.Advancesinneuralinformationprocessingsystems,30,2017

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Observation 3c588a23-ca86-4f70-8455-b0d6b678c8ea · outbound

This paper cites On permutation-invariant neural networks.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models On permutation-invariant neural networks

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Observation 990ddaad-276e-426a-b2e1-1a6ef576745a · outbound

This paper cites Attention-baseddeepmultipleinstancelearning.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Attention-baseddeepmultipleinstancelearning

Reference 29

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Observation 6aa4a925-0d7a-47fe-ba3e-7e57159e3012 · outbound

This paper cites Advances in set function learning: a survey of techniques and applications.ACMComputingSurveys,57(7):1–37,2025.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Advances in set function learning: a survey of techniques and applications.ACMComputingSurveys,57(7):1–37,2025

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Observation 3d694aa6-7fb7-4801-8b72-ec095d0a4eae · outbound

This paper cites Set transformer: Aframeworkforattention-basedpermutation-invariantneuralnetworks.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Set transformer: Aframeworkforattention-basedpermutation-invariantneuralnetworks

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Observation 10655f54-5558-46f5-b026-814d4123ab79 · outbound

This paper cites High- resolutionimagesynthesiswithlatentdiffusionmodels.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models High- resolutionimagesynthesiswithlatentdiffusionmodels

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Observation 5483f346-f0cf-4873-8e39-7ed39f48e304 · outbound

This paper cites All-atomDiffusionTransformers: Unifiedgenerativemodellingof moleculesandmaterials.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models All-atomDiffusionTransformers: Unifiedgenerativemodellingof moleculesandmaterials

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Observation c93117fa-c978-4f3d-ae73-196277fc649e · outbound

This paper cites LaM-SLidE:LatentSpaceModelingofSpatialDynamicalSystemsviaLinkedEntities.arXiv preprintarXiv:2502.12128,2025.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models LaM-SLidE:LatentSpaceModelingofSpatialDynamicalSystemsviaLinkedEntities.arXiv preprintarXiv:2502.12128,2025

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Observation a7096bf2-bac1-410c-a5dc-16ece52be86c · outbound

This paper cites La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching

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source=pdf_text observed=2026-08-04T00:05:58.115541Z digest=sha256:4457221015035ff13972fec9b425513a6c5f5d0da14dcc94add0df88bdac8e4a

Observation 749efb0f-0b83-4b01-9ec8-dbed816ea4dc · outbound

This paper cites Realisticinsilicogenerationandaugmentationofsingle-cellRNA-seqdatausing generativeadversarialnetworks.Nat.Commun.,11(1):166,January2020.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Realisticinsilicogenerationandaugmentationofsingle-cellRNA-seqdatausing generativeadversarialnetworks.Nat.Commun.,11(1):166,January2020

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source=pdf_text observed=2026-08-04T00:05:58.286717Z digest=sha256:0e2853500fa79c5e766c379fbb07306b977aaf4e1514b2f5b73031c57533800a

Observation 28df5ff7-9170-4ae4-9d42-c5a5fee8bf10 · outbound

This paper cites Single-Cell RNA-seq Synthesis with Latent Diffusion Model.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Single-Cell RNA-seq Synthesis with Latent Diffusion Model

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source=pdf_text observed=2026-08-04T00:05:58.472655Z digest=sha256:a089cbefddd80df32b4589a8fd97ecf0e964e537bb7bb09dfba18412a2b26770

Observation 6a6f6a1d-173e-46da-a606-ded9ec1fc163 · outbound

This paper cites Predictingcellularresponsestocomplexperturbations inhigh-throughputscreens.MolecularSystemsBiology,19(6):e11517,2023.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Predictingcellularresponsestocomplexperturbations inhigh-throughputscreens.MolecularSystemsBiology,19(6):e11517,2023

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source=pdf_text observed=2026-08-04T00:05:58.585558Z digest=sha256:9906748e45c2b61a4fda26a4fa90300a2258f1c953a5ebc178435d4d03c4aed6

Observation 37cdc3d5-001d-428c-b016-5594d6c615a0 · outbound

This paper cites Squidiff: Predictingcellulardevelopmentandresponsesto perturbationsusingadiffusionmodel.bioRxiv,pages2024–11,2024.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Squidiff: Predictingcellulardevelopmentandresponsesto perturbationsusingadiffusionmodel.bioRxiv,pages2024–11,2024

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source=pdf_text observed=2026-08-04T00:05:58.731200Z digest=sha256:3863b79d1c313e1071ca14d9f02a27604ce6c511281703ce68ae86b707ac8d1d

Observation 48fbf580-bd45-4c32-b129-ec04f031e695 · outbound

This paper cites CellFlow enables generative single-cell phenotype modelingwithflowmatching.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models CellFlow enables generative single-cell phenotype modelingwithflowmatching

Reference 40

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source=pdf_text observed=2026-08-04T00:05:58.854103Z digest=sha256:c6937bc6024c306e6e0ea25d543662a1ed0495156e68d5289301f5970f9cffd8

Observation e9882b87-48ee-4023-8461-0196a75a888f · outbound

This paper cites Learningsingle-cellperturbationre- sponsesusingneuraloptimaltransport.NatureMethods,20(11):1759–1768,September2023.ISSN1548-.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Learningsingle-cellperturbationre- sponsesusingneuraloptimaltransport.NatureMethods,20(11):1759–1768,September2023.ISSN1548-

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source=pdf_text observed=2026-08-04T00:05:58.971728Z digest=sha256:9e3359fa9c12a663e3324c219b11293d852a1b35be4e8c1ad9a92d85b37f2957

Observation 65349426-acbc-461c-aad8-4eeddbe0c4af · outbound

This paper cites PerceiverIO:AGeneral ArchitectureforStructuredInputs&Outputs.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models PerceiverIO:AGeneral ArchitectureforStructuredInputs&Outputs

Reference 42

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Observation 152e5cfc-fdbd-438e-bfdd-9bee0d750c49 · outbound

This paper cites Perceiver: Generalperceptionwithiterativeattention.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Perceiver: Generalperceptionwithiterativeattention

Reference 43

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source=pdf_text observed=2026-08-04T00:05:59.277642Z digest=sha256:5df549418a8d7bb64dd6840c7aa40629ca80f5e1ff79465aaceaa419a5d30407

Observation 6ebeac95-c407-4a2a-8081-2f7e54991e9a · outbound

This paper cites Equivariant priors for compressed sensing with unknown orientation.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Equivariant priors for compressed sensing with unknown orientation

Reference 44

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source=pdf_text observed=2026-08-04T00:05:59.364693Z digest=sha256:2ed108d226fb9e1391802ffad8ddcb43da884c13f90da8101899e5ebd2859823

Observation 95da7235-eaa6-419a-b9bb-4c773bac043c · outbound

This paper cites Vae with a vampprior.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Vae with a vampprior

Reference 45

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source=pdf_text observed=2026-08-04T00:05:59.462708Z digest=sha256:45ad3c9fb66a52d164e0edc88aca01afe4495023e6191374cd6a0d3c6c9cd292

Observation df28f0c6-065a-43d9-a8b0-1e77efabf4b2 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Classifier-Free Diffusion Guidance

Reference 46

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source=pdf_text observed=2026-08-04T00:05:59.588293Z digest=sha256:23d1e0e1a7b452cca1a4ea1ae98abc3e023f7f433cef9d5929daa7427292cfbf

Observation 0f1cef78-1b63-43b8-a49e-414ab6d1f32c · outbound

This paper cites Flow Matching for Generative Modeling.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Flow Matching for Generative Modeling

Reference 47

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source=pdf_text observed=2026-08-04T00:05:59.676264Z digest=sha256:217967f0dad038d3814505333a48fb0b52ddc1ee618d3de0dd9e784229551c7d

Observation a42c4a35-47ee-4436-bc0c-577d725cc5b7 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Improving and generalizing flow-based generative models with minibatch optimal transport

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source=pdf_text observed=2026-08-04T00:05:59.773433Z digest=sha256:93aec1ed47a40049584fbbe025ad97ac19f10971c9ebb8185887ce3051fb095e

Observation 4c2a1b98-fd7d-4f67-98dc-09ef7baea1a2 · outbound

This paper cites beta-VAE: Learning basic visual concepts with a constrained variationalframework.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models beta-VAE: Learning basic visual concepts with a constrained variationalframework

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source=pdf_text observed=2026-08-04T00:05:59.893104Z digest=sha256:b922064a3a7a7b2fd657777158c4a630e057fba99db56880c5789ca0641f9625

Observation ada2df7a-e1ae-401e-a163-831554a735d5 · outbound

This paper cites https://www.parsebiosciences.com/ datasets/10-million-human-pbmcs-in-a-single-experiment/.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models https://www.parsebiosciences.com/ datasets/10-million-human-pbmcs-in-a-single-experiment/

Reference 50

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source=pdf_text observed=2026-08-04T00:05:59.953202Z digest=sha256:20a2aae797b44dcaf56f7f3f3f9b41686ccc01a5fe526ae0c747ebc288e8caf8

Observation 23edfeb3-15f7-4fba-ba3d-9a177e4659aa · outbound

This paper cites Transcriptome-wide analysis of differential expressioninperturbationatlases.NatureGenetics,pages1–10,2025.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Transcriptome-wide analysis of differential expressioninperturbationatlases.NatureGenetics,pages1–10,2025

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source=pdf_text observed=2026-08-04T00:06:00.041475Z digest=sha256:9180bcf829e55ff308decba3e9296ea41b6a046836c6aa4c0a3b70a0b8fc8093

Observation 7904d8b4-450c-4afc-b4ce-83397d297e0e · outbound

This paper cites scGPT: towardbuildingafoundationmodelforsingle-cellmulti-omicsusinggenerativeAI.Naturemethods, 21(8):1470–1480,2024.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models scGPT: towardbuildingafoundationmodelforsingle-cellmulti-omicsusinggenerativeAI.Naturemethods, 21(8):1470–1480,2024

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source=pdf_text observed=2026-08-04T00:06:00.128312Z digest=sha256:4ddf4650dcc3d377eab7daa7eac9db6c2f22cabbf963af0065be1c7a6326e621

Observation 729bd8f4-6bc8-4a8c-864d-6d4efb7c5a37 · outbound

This paper cites Interstitial macrophages are a focus of viral takeover and inflammation in covid-19 initiation in human lung.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Interstitial macrophages are a focus of viral takeover and inflammation in covid-19 initiation in human lung

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source=pdf_text observed=2026-08-04T00:06:00.250314Z digest=sha256:cadfee1183a4c73f93230aa24d97309655045e2a940bc5d20161b50b554d8703

Observation 11afd5b8-713f-4979-a59b-35a709206931 · outbound

This paper cites Tabulasapiensrevealstranscriptionfactor expression,senescenceeffects,andsex-specificfeaturesincelltypesfrom28humanorgansandtissues.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Tabulasapiensrevealstranscriptionfactor expression,senescenceeffects,andsex-specificfeaturesincelltypesfrom28humanorgansandtissues

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doi, observed 2026-08-04T00:09:36.133727Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-04T00:06:00.326255Z digest=sha256:802e193df3f5f4985d1b7a4a9d68865ae1b9361d722f9e608efbe941afaa05c6

Observation 594f1e7d-71a4-4d66-bb92-1e6f682ec20b · outbound

This paper cites A cross-speciesgenerativecellatlasacross1.5billionyearsofevolution: Thetranscriptformersingle-cell model.bioRxiv,pages2025–04,2025.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models A cross-speciesgenerativecellatlasacross1.5billionyearsofevolution: Thetranscriptformersingle-cell model.bioRxiv,pages2025–04,2025

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source=pdf_text observed=2026-08-04T00:06:00.398118Z digest=sha256:2bbe6ff291213c80fd1b4355b714a235c360ef68a895f3dbe22151ec10966387

Observation 540d95a6-73b0-48d9-ade7-f4eec46a8362 · outbound

This paper cites InNeurIPS 2024 Workshop on AI for New Drug Modalities.bioRxiv,2024.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models InNeurIPS 2024 Workshop on AI for New Drug Modalities.bioRxiv,2024

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source=pdf_text observed=2026-08-04T00:06:00.435178Z digest=sha256:0c386d4366b882903a1b0faa69e7d67b63b21a6a63d5f4b7249c6559bed58be1

Observation 6878c50b-f763-4727-b9ab-5fcb24adb978 · outbound

This paper cites Transferlearningenables predictionsinnetworkbiology.Nature,618(7965):616–624,2023.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Transferlearningenables predictionsinnetworkbiology.Nature,618(7965):616–624,2023

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source=pdf_text observed=2026-08-04T00:06:00.494744Z digest=sha256:4feac17288fb6d8843abd19e5271f2d33d2414d5c0a07696b1cdceefbe8961b3

Observation 6708c96d-60c6-4410-98e1-04683910deb9 · outbound

This paper cites Universal cell embeddings: A foundation model for cell biology.bioRxiv,pages2023–11,2023.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Universal cell embeddings: A foundation model for cell biology.bioRxiv,pages2023–11,2023

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source=pdf_text observed=2026-08-04T00:06:00.544690Z digest=sha256:f0dff3031d19fc830555c4adda78903d1b05af02469f3a0e9b3537678b30c077

Observation 87a93b7c-7481-4da6-9961-e36ea450d624 · outbound

This paper cites Set norm and equivariant skip connections: Puttingthedeepindeepsets.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Set norm and equivariant skip connections: Puttingthedeepindeepsets

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source=pdf_text observed=2026-08-04T00:06:00.621335Z digest=sha256:f5e362223cf0c003773229207de0e08ceef6eb3c9eb0c193d7da2994923247e2

Observation 1843b05e-02dc-4d50-be8e-1221b5d5320c · outbound

This paper cites Attention is all you need.Advances in neural information processing systems,30,2017.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Attention is all you need.Advances in neural information processing systems,30,2017

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source=pdf_text observed=2026-08-04T00:06:00.709101Z digest=sha256:c6824d98a110b5091cbe511e77a5c025b2a7c2b808da6c9a3ad9acefa3753794

Observation 1d16572b-1759-4596-9573-3fa7a3087930 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models WaveNet: A Generative Model for Raw Audio

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source=pdf_text observed=2026-08-04T00:06:00.758093Z digest=sha256:feef2bfba4c0728fceb87bba865a9aaf1823a289323db66cebebe15e6ba9530a

Observation 187b6fe9-f97e-4000-a5ed-653b63fd7b9a · outbound

This paper cites Train for the worst, planforthebest: Understandingtokenorderinginmaskeddiffusions.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Train for the worst, planforthebest: Understandingtokenorderinginmaskeddiffusions

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source=pdf_text observed=2026-08-04T00:06:00.829376Z digest=sha256:36b28d191f7f064401c9c51890d00b68174472c265397e1dfe2ae8a3dbf03c08

Observation cc49e36f-343a-42d1-a0e3-001537b40f6b · outbound

This paper cites 𝜎-gpts: Anewapproachtoautoregressive models.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models 𝜎-gpts: Anewapproachtoautoregressive models

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source=pdf_text observed=2026-08-04T00:06:00.863939Z digest=sha256:3a1b3e2f4dca39e0b4144d5740dcfc50573c0abca5e9e52c83ff5443588c31eb

Observation fecd89c3-bd15-4362-bb69-2d6c1269751f · outbound

This paper cites Denoising diffusion probabilistic models.Advancesin neuralinformationprocessingsystems,33:6840–6851,2020.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Denoising diffusion probabilistic models.Advancesin neuralinformationprocessingsystems,33:6840–6851,2020

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source=pdf_text observed=2026-08-04T00:06:00.917150Z digest=sha256:d8d29c7dded5dc30e77ed78c21f8e4e8978c03460ecbbc3c4974e0c0c019ad11

Observation c018cfd0-a684-47ea-b2ad-353dcec948a6 · outbound

This paper cites Scalingupmaskeddiffusionmodelsontext.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Scalingupmaskeddiffusionmodelsontext

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source=pdf_text observed=2026-08-04T00:06:01.032246Z digest=sha256:5c10d285d11db369a0b4260854bf91c4c3155f85ad2f7b6b111e383536913504

Observation 46483766-1f5c-4404-be2e-d1654588f5eb · outbound

This paper cites A kerneltwo-sampletest.Thejournalofmachinelearningresearch,13(1):723–773,2012.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models A kerneltwo-sampletest.Thejournalofmachinelearningresearch,13(1):723–773,2012

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source=pdf_text observed=2026-08-04T00:06:01.198202Z digest=sha256:3da77d00300caa18f27145f1198380a55b3802a195ce3687b9ac01ecb3dcd821

Observation cd88daca-4783-4365-a239-a514348d6ccf · outbound

This paper cites Anoteontheevaluationofgenerativemodels.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models Anoteontheevaluationofgenerativemodels

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source=pdf_text observed=2026-08-04T00:06:01.357229Z digest=sha256:89c67f419eb2897347ce043629e720efaf600d30b23c421e31f5cae1456e5f59

Observation 7198d9aa-34f1-4ab4-828f-2aa1654e3171 · outbound

This paper cites CD4Naive+IL-9.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models CD4Naive+IL-9

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source=pdf_text observed=2026-08-04T00:06:01.425444Z digest=sha256:5699382c9dbec198f9f99cc525575d4090a09558f4b438a167af16a8e5a93465

Observation 5a7ba4ac-4c39-439d-b39b-cccc9fee24c7 · outbound

This paper cites URLhttp://dx.doi.org/10.1038/s41592-023-01969-x.

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models URLhttp://dx.doi.org/10.1038/s41592-023-01969-x

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source=pdf_text observed=2026-08-04T00:05:59.094689Z digest=sha256:ec3a52d3407af058f2550f202bdc06ab38cbdeedec28677120a4adf457967b14

Pith citing papers

Observation 15704614-f3c1-47ac-ba5a-fd511662c342 · inbound

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling cites this paper.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models

Reference 12

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:14:56.535537Z digest=sha256:bb9128775be30ca0f02f7078a9130627b0eabd48fcc392f42d5babaedea67ada

Observation 248bfd04-8be5-43ae-abe8-1f46aab27530 · inbound

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling cites this paper.

PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models

Reference 12

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T20:56:51.578763Z digest=sha256:1275b25cc2fbadbab4eb17b0caba51804d9194e19bf89eede9133ca299f4093c