SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes | Paper Citation Record

Observation cf678384-ae69-4f21-b9cf-e7f4b0f81823 · outbound

This paper cites scmulan: A multitask generative pre-trained language model for single-cell analysis.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes scmulan: A multitask generative pre-trained language model for single-cell analysis

Reference 1

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Observation a57d49ad-ad71-4579-bf63-07674c12775f · outbound

This paper cites an unresolved cited work.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Unresolved cited work

Reference 2

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Observation 54041e7f-1b5a-49d8-ba78-9db9c8a405e7 · outbound

This paper cites Token Merging: Your ViT But Faster.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Token Merging: Your ViT But Faster

Reference 3

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Observation db2ee6c0-4224-4b61-85bd-9090d6551fb3 · outbound

This paper cites Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations

Reference 4

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Observation 09774a75-ffeb-4726-b0f5-9b7947ebc742 · outbound

This paper cites Combining spatial transcriptomics with tissue morphology.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Combining spatial transcriptomics with tissue morphology

Reference 5

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Observation 63f59029-1bf2-473d-8c07-7f9f513ae0f2 · outbound

This paper cites STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics

Reference 6

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Observation 6e9a70c3-e292-429f-85d5-df83742fd03d · outbound

This paper cites Spatially resolved, highly multiplexed rna profiling in single cells.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Spatially resolved, highly multiplexed rna profiling in single cells

Reference 7

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Observation 43ef3c4f-573f-41dd-8b52-5fbc965c7f3f · outbound

This paper cites Chen, Chengkuan Chen, Yicong Li, Tiffany Y.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Chen, Chengkuan Chen, Yicong Li, Tiffany Y

Reference 8

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Observation 0e03d10d-faf8-4ae7-9016-7669b2458dcf · outbound

This paper cites Chen, Tong Ding, Ming Y.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Chen, Tong Ding, Ming Y

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.786151Z

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Observation bcb47c02-116a-4df8-932b-101e3824e23f · outbound

This paper cites Xgboost: A scalable tree boosting system.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Xgboost: A scalable tree boosting system

Reference 10

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Observation 7d0b9ea4-5a62-40a2-bd72-6c9411218d31 · outbound

This paper cites scgpt: Towards building a foundation model for single-cell multi-omics using generative ai.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes scgpt: Towards building a foundation model for single-cell multi-omics using generative ai

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.766606Z

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Observation cfaba91a-a6de-422e-8a28-ff878a394855 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding, 2019.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Bert: Pre-training of deep bidirectional transformers for language understanding, 2019

Reference 12

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Observation b7832915-9a42-4055-87ee-74a880c2a9b4 · outbound

This paper cites Diffusion models beat GANs on image synthesis.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Diffusion models beat GANs on image synthesis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.748198Z

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Observation ef055733-164e-47b3-bf61-f312f32bc4de · outbound

This paper cites Multimodal Whole Slide Foundation Model for Pathology.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Multimodal Whole Slide Foundation Model for Pathology

Reference 14

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Observation fb10f259-8b85-464d-8143-67251e0206dc · outbound

This paper cites Cross-tissue immune cell analysis reveals tissue-specific features in humans.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Cross-tissue immune cell analysis reveals tissue-specific features in humans

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.736651Z

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Observation e830b429-635c-416d-9f4e-88e22402234e · outbound

This paper cites Laurent, Anqi Shao, Mar \' a del Mar Alvarez-Torres, Tianji Yu, Jimin Tan, Jiayu Su, Romella Sagatelian, Adolfo A.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Laurent, Anqi Shao, Mar \' a del Mar Alvarez-Torres, Tianji Yu, Jimin Tan, Jiayu Su, Romella Sagatelian, Adolfo A

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.723884Z

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Observation 70a43436-ed90-48db-a71d-5fa78a87b405 · outbound

This paper cites Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.713665Z

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Observation 73cd1a89-f90b-44e8-8f33-79297c5afae1 · outbound

This paper cites xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data

Reference 18

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Observation 871fdb4d-178d-42b5-9901-5a19811160a2 · outbound

This paper cites Large-scale foundation model on single-cell transcriptomics.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Large-scale foundation model on single-cell transcriptomics

Reference 19

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Observation 7330a5ce-726b-4070-b607-815dc38c55bf · outbound

This paper cites Masked autoencoders are scalable vision learners, 2021.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Masked autoencoders are scalable vision learners, 2021

Reference 20

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This paper cites DePianto, Omar Salem, Tobias Heigl, Nathaniel Diamant, Gabriele Scalia, Tommaso Biancalani, Shannon J.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes DePianto, Omar Salem, Tobias Heigl, Nathaniel Diamant, Gabriele Scalia, Tommaso Biancalani, Shannon J

Reference 21

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Observation bf7e3852-e862-411e-82e3-325cb2e3e19a · outbound

This paper cites Denoising diffusion probabilistic models.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Denoising diffusion probabilistic models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.663532Z

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Observation 82d0607b-6d80-4c3c-b517-49e207e42c33 · outbound

This paper cites Classifier-Free Diffusion Guidance.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Classifier-Free Diffusion Guidance

Reference 23

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Observation 4def7feb-f6f9-4f34-baed-b969211bf333 · outbound

This paper cites Stpath: A generative foundation model for integrating spatial transcriptomics and whole slide images.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Stpath: A generative foundation model for integrating spatial transcriptomics and whole slide images

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.486866Z

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Observation aa3880c4-e833-4551-a59e-c352cde4d310 · outbound

This paper cites A visual--language foundation model for pathology image analysis using medical twitter.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes A visual--language foundation model for pathology image analysis using medical twitter

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.305302Z

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Observation afb5c150-5f9a-43fa-833c-32a9664d8985 · outbound

This paper cites High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:52.129866Z

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Observation 8bfe8ff5-fa24-4b29-81ef-71dac91ae10a · outbound

This paper cites HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 27

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Observation 3d5d01fb-ef80-4eca-8a8c-207f2d00b816 · outbound

This paper cites scprint: Pre-training on 50 million cells allows robust gene network predictions.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes scprint: Pre-training on 50 million cells allows robust gene network predictions

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:51.972132Z

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Observation 38b49f37-8ead-404a-8a6c-a641941a77f3 · outbound

This paper cites Token fusion: Bridging the gap between token pruning and token merging, 2023.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Token fusion: Bridging the gap between token pruning and token merging, 2023

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:51.809438Z

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Observation 8c647231-ef21-4a90-b07a-3f624fc8b6a6 · outbound

This paper cites Kingma and Jimmy Ba.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Kingma and Jimmy Ba

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:47:41.337199Z

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Observation 8f0c53bd-6a5a-4132-a73d-e055ada9e68b · outbound

This paper cites scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:47:45.368925Z

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Observation 562ff2ce-30b1-4f59-ad8d-782db5cdc40d · outbound

This paper cites Single-cell transcriptome analysis reveals dynamic cell populations and differential gene expression patterns in control and aneurysmal human aortic tissue.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Single-cell transcriptome analysis reveals dynamic cell populations and differential gene expression patterns in control and aneurysmal human aortic tissue

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:51.584229Z

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Observation a0d46188-daa6-4842-a576-e5a33bec1b2b · outbound

This paper cites SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:47:41.500896Z

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Observation 6610b9c6-9564-4eb3-a6eb-149430d1f2b5 · outbound

This paper cites Revolutionizing drug discovery: Integrating spatial transcriptomics with advanced computer vision techniques.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Revolutionizing drug discovery: Integrating spatial transcriptomics with advanced computer vision techniques

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:51.423677Z

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Observation 32863264-5f94-46a5-975b-8016d5e8cbc6 · outbound

This paper cites A contrastive deep learning approach to cryptocurrency portfolio with us treasuries.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes A contrastive deep learning approach to cryptocurrency portfolio with us treasuries

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:51.248102Z

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Observation f3736058-a3fb-4c1c-bb5e-a6301d8cf938 · outbound

This paper cites Knowledge graph embedding and few-shot relational learning methods for digital assets in usa.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Knowledge graph embedding and few-shot relational learning methods for digital assets in usa

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:51.076546Z

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Observation 71e700d0-3335-4a9b-8f07-562a66abe339 · outbound

This paper cites ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics

Reference 37

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Observation b13f1339-3822-47bf-9fc6-3dcd0424d6b4 · outbound

This paper cites Lu, Bowen Chen, Drew F.K.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Lu, Bowen Chen, Drew F.K

Reference 38

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Observation d7b8ca5c-97c5-4278-8291-b111859c1961 · outbound

This paper cites Lu, Bowen Chen, Andrew Zhang, Drew F.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Lu, Bowen Chen, Andrew Zhang, Drew F

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:50.698266Z

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Observation f68eaf05-186a-48f0-9199-c8166d60f153 · outbound

This paper cites Multimodal contrastive learning for spatial gene expression prediction using histology images.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Multimodal contrastive learning for spatial gene expression prediction using histology images

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:50.494334Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e82db72-5b57-4e2e-a007-25f7ab24524d · outbound

This paper cites Morphodiff: Cellular morphology painting with diffusion models.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Morphodiff: Cellular morphology painting with diffusion models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:50.264403Z

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Observation e43a597d-c590-4119-9db9-e0aa98ef38f1 · outbound

This paper cites Hibou: A family of foundational vision transformers for pathology, 2024.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Hibou: A family of foundational vision transformers for pathology, 2024

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:50.083618Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6adfebad-e9f8-45c7-baf9-204c1a049587 · outbound

This paper cites Gest: Towards building a generative pretrained transformer for learning cellular spatial context.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Gest: Towards building a generative pretrained transformer for learning cellular spatial context

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:49.895440Z

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Observation 444ed2eb-9ee6-4116-a0cc-74899a247463 · outbound

This paper cites scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:47:45.217620Z

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Observation 251dfca8-75ac-4fec-b695-953a1bdf6e55 · outbound

This paper cites Palette: Image-to-image diffusion models.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Palette: Image-to-image diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:49.721190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f55c11b-dd8d-491c-9080-8ef7729bbea5 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Photorealistic text-to-image diffusion models with deep language understanding

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T19:47:42.528344Z

Source-reported events for the cited work

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Observation 3249f4b1-dc54-41f1-abbe-b4514ecaf7e9 · outbound

This paper cites Image super-resolution via iterative refinement.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Image super-resolution via iterative refinement

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:49.578906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60228915-bcd0-44a4-a84f-0b92e668cdbc · outbound

This paper cites H-optimus-0, 2024.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes H-optimus-0, 2024

Reference 48

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Observation 8eccc443-bca0-498e-9bb0-0ff96b796ed7 · outbound

This paper cites Schaar, Alejandro Tejada-Lapuerta, Giovanni Palla, Robert Gutgesell, Lennard Halle, Mariia Minaeva, Larsen Vornholz, Leander Dony, Francesca Drummer, Mojtaba Bahrami, and Fabian J.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Schaar, Alejandro Tejada-Lapuerta, Giovanni Palla, Robert Gutgesell, Lennard Halle, Mariia Minaeva, Larsen Vornholz, Leander Dony, Francesca Drummer, Mojtaba Bahrami, and Fabian J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:49.277304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c088803f-a68d-439b-a4bc-738047a4724b · outbound

This paper cites Neuronal vulnerability and multilineage diversity in multiple sclerosis.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Neuronal vulnerability and multilineage diversity in multiple sclerosis

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:49.089349Z

Source-reported events for the cited work

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Observation 0f40a15e-1beb-4a90-b560-c18096a28360 · outbound

This paper cites Denoising Diffusion Implicit Models.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Denoising Diffusion Implicit Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T19:47:42.888592Z

Source-reported events for the cited work

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Observation 34c44a0c-de9d-483c-94ae-bde505492d06 · outbound

This paper cites Consistency Models.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Consistency Models

Reference 52

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Observation 7623b0a7-c59f-4c88-812d-979d40d3259a · outbound

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

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Score-Based Generative Modeling through Stochastic Differential Equations

Reference 53

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Source-reported events for the cited work

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This paper cites Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:48.903079Z

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Observation 3085b4f9-f1d8-4af4-b7dd-47f831f27e71 · outbound

This paper cites Cellprofiler 4: improvements in speed, utility and usability.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Cellprofiler 4: improvements in speed, utility and usability

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:48.720917Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d78b993e-3bd6-4b91-986c-eda1ed92505d · outbound

This paper cites Transformers in single-cell omics: a review and new perspectives.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Transformers in single-cell omics: a review and new perspectives

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:48.543308Z

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Observation f0879a68-9b9d-47fe-9231-5b1977baee75 · outbound

This paper cites Transfer learning enables predictions in network biology.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Transfer learning enables predictions in network biology

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:48.404949Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e09d3ec-204b-4deb-9754-9cc934ae6aeb · outbound

This paper cites Dependency-aware deep generative models for multitasking analysis of spatial omics data.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Dependency-aware deep generative models for multitasking analysis of spatial omics data

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:48.163991Z

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Observation facf4939-d29e-4789-b52e-da198c1a7276 · outbound

This paper cites scgpt-spatial: Continual pretraining of single-cell foundation model for spatial transcriptomics.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes scgpt-spatial: Continual pretraining of single-cell foundation model for spatial transcriptomics

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:47.942050Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5ece450-3714-4cf0-bc13-593407310837 · outbound

This paper cites Jha, and Yuchen Liu.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Jha, and Yuchen Liu

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:47.735451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 224dc98d-114b-4a94-a4fb-7bba93d40477 · outbound

This paper cites Transformer-based unsupervised contrastive learning for histopathological image classification.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Transformer-based unsupervised contrastive learning for histopathological image classification

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:47.542841Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6aecb4d4-fb98-410f-9e1e-245e0b551cd0 · outbound

This paper cites Uni-yolo: Vision-language model-guided yolo for robust and fast universal detection in the open world.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Uni-yolo: Vision-language model-guided yolo for robust and fast universal detection in the open world

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:47.389973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5560e19e-69d9-4a53-bd31-048d66b4e630 · outbound

This paper cites Fine-grained heartbeat waveform monitoring with rfid: A latent diffusion model.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Fine-grained heartbeat waveform monitoring with rfid: A latent diffusion model

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:47.173628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8046eb48-05a5-4369-b62e-1d4c695abeea · outbound

This paper cites Nichetrans: Spatial-aware cross-omics translation.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Nichetrans: Spatial-aware cross-omics translation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:46.922331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a277923-9f12-4655-b7d1-c010ee344a1c · outbound

This paper cites Cellplm: Pre-training of cell language model beyond single cells.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Cellplm: Pre-training of cell language model beyond single cells

Reference 65

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:47:46.782643Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6fbe897d-4979-4960-8ab3-c02a8202972f · outbound

This paper cites Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:46.602883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ab858f9-199b-4ef7-9b97-09801aaf8011 · outbound

This paper cites scbert: large-scale pretrained deep language model for cell type annotation of single-cell rna-seq data.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes scbert: large-scale pretrained deep language model for cell type annotation of single-cell rna-seq data

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:46.378277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 048d9d4a-d155-4741-b436-42d65b8ae0e1 · outbound

This paper cites Agp-net: A universal network for gene expression prediction of spatial transcriptomics.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Agp-net: A universal network for gene expression prediction of spatial transcriptomics

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:46.157931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01bd4c76-8d50-4442-b265-c7194689c5c1 · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Adding conditional control to text-to-image diffusion models, 2023

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T19:47:44.511498Z

Source-reported events for the cited work

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Observation e87b50b8-c2b7-463a-b4cc-000f6759b806 · outbound

This paper cites Efficient generation of protein pockets with pocketgen.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Efficient generation of protein pockets with pocketgen

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:46.013701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0c79ef2-a4bf-4039-9f17-352606da6f23 · outbound

This paper cites Hist2cell: Deciphering fine-grained cellular architectures from histology images.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Hist2cell: Deciphering fine-grained cellular architectures from histology images

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:45.846320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 403dcc45-4f2b-4bb7-be4b-83b7d9197fd2 · outbound

This paper cites Diffusion generative modeling for spatially resolved gene expression inference from histology images.

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes Diffusion generative modeling for spatially resolved gene expression inference from histology images

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:47:45.619890Z

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