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Paper Citation Record · LEDGER

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes

As of 8 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2507.04704.

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

pith.paper-citation-record.v1
2507.04704 v3

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:47:44.831009Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

  • verified exact2
  • verified fuzzy50
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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raw_fallback, observed 2026-08-06T19:47:52.847892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:39.524271Z digest=sha256:216e215be6a84cfb6e65c72d726caa89d1e42fabfda0d0ffffc1c59ebee7e90a

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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no resolver link, observed 2026-08-06T19:47:39.626844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:39.626844Z digest=sha256:679f8533f3cf0865aef49ac01810d8360d13419f841223c9fb5f9e8c24cdd4b9

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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verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.835317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:39.711149Z digest=sha256:2bdb0cc5b3dbf0a965b22cab96e22aca70303a0a509f131ef648786d4b1cfbb8

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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verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.822813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:39.765337Z digest=sha256:615bc18e2cdfb86cb9dcc9fc522d19bdf4b0c0d88e20169f8d4e77668b06d6de

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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no resolver link, observed 2026-08-06T19:47:39.836389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:39.836389Z digest=sha256:12bef86de35ae7539ba907695aea9ab8a2817d878cd1f31254ba05c9118561cc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.810810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:39.904671Z digest=sha256:fd597773b800b802e39df773cc42ae42381157707e3edfe566e9623741320458

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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verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.798267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:39.974654Z digest=sha256:4a1108c2fef2b6add3913858599998cebe07b2a2f8c28c9076a6c102c3b35d76

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:40.006559Z digest=sha256:74da0d202db7a271ae5d8b813c0dc1b1f41e71fee4863a22914034ca08a10a19

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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unresolved
no resolver link, observed 2026-08-06T19:47:40.080587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:40.080587Z digest=sha256:0ace4345b6209d2cd0166addc3a54c73e903f2d93f35a2a3a82ee027e881485b

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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no resolver link, observed 2026-08-06T19:47:40.179343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:40.179343Z digest=sha256:72816fc0fc45b409d9a2257cd9701980833307f5c176b65c40ac8226801fccc8

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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unresolved
no resolver link, observed 2026-08-06T19:47:40.331482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:40.331482Z digest=sha256:7b74ea3ea475c856bb0795a5e2111dfec583b11e8f3aec0ab4d2322fe826491d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:40.421275Z digest=sha256:d8afba38cc0b41242a0d541979ce4d0dff36990a828081407690d2d157c7ea48

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:40.506812Z digest=sha256:618b511c62674e7a49a42fe4d878f2762bc8c614ecbfd598b7f70c5a7489c60b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:40.621920Z digest=sha256:9e7005ee7123f02c79bc893fc8b13aa6ac7dd1752b26b280062873713778d2db

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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no resolver link, observed 2026-08-06T19:47:40.667592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:40.667592Z digest=sha256:4eb25d7c28762f0b82d9199d4bd8cf345fca3852b9c81dbb8124161ba3a68289

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:52.703567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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no resolver link, observed 2026-08-06T19:47:40.806751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:40.806751Z digest=sha256:5001adb6e3156b22ec085f407a53ff745082f34b6563ed77cd91527e893a2b6a

Observation eec85b05-bf36-4410-bca9-eb65deb1960f · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:40.866636Z digest=sha256:706b97742d8dcb753b0e6e7a258d1b339edcc28bb145df6d56e7ecde8947bc23

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

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raw_fallback, observed 2026-08-06T19:47:52.663532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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no resolver link, observed 2026-08-06T19:47:40.985918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:40.985918Z digest=sha256:7bd6abe66b8e5b38f6a7c23bb9d2700afa9bfd90d3c7a699555f03c5f51c0212

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.045094Z digest=sha256:383cf9aefaf77ea5caf62dec1c44adeacae73bf069081411f9af3fa009b83365

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.100405Z digest=sha256:63cc906aab59c53a915c9758f59665dbd3ae7aed1cb38f7f254b7d14a54b02e9

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.135233Z digest=sha256:b256a785c9263d77710d5da3bcebe7d5353ae216da57a1ba9983e120c7c6932e

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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unresolved
no resolver link, observed 2026-08-06T19:47:41.187594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:41.187594Z digest=sha256:38f5a047106a35a8cd919bf71cc4843db5f4d0a46889d289209f797c26c35116

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.236242Z digest=sha256:864f2b0c5e005797359af57652ee3c81930e24e34b4a3bbed0874c64a930821e

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.291834Z digest=sha256:6d85473d0f3de3ed781b864eb97021dc860056f18a3587b9b96041197091de69

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:41.337199Z digest=sha256:08cc119d8979a47e779dcaf77af57f12cc872cb322cdbd5be1213ea19693d497

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.383638Z digest=sha256:1f2be88a4a5856695ca09ad06ade6ef6b7cde0b64568cd4d34d77bd2972975d7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.447073Z digest=sha256:9bbea5a185f4d71bd176e8fb2a066b5591c1e1c70361a3c33a572fdd099bca16

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:41.500896Z digest=sha256:b59ed5b7b5b2a402fcc3d8b18ef6312a37920b796b3dda95c02e2e1d7d2b0c23

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.564841Z digest=sha256:ee17f653339f40b5e02c6f55437d302b76c49c0feac8c4274b9dc62439dc94d2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.605364Z digest=sha256:7cd07d180cd4caf5ae910575039a92922d51a51bf0bd72c399f588422b6550ea

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.664349Z digest=sha256:f612bbcde8fef3cb39295ca59908bb5e42ea78764bb16ef1f7b23b49a501dd31

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:41.727651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:41.727651Z digest=sha256:ef8def83849597a35c3d338fdc22e0f499f5d00c93c2b7f172490362663a263e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:47:50.886752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.817683Z digest=sha256:c4aa24c95f9b6819c5913f3776786d6b46abd0af41805c3553d6a4dadc90aae4

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.891375Z digest=sha256:e225b9961e67039523e02123b9ffcdd6d605a846713d6909baa53c3b5fa93d64

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.937412Z digest=sha256:70d7c4a419598d128da9d9d34cdd5ac6a71ebee974d0b6c3e4e7a95b3edd00b2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:41.990469Z digest=sha256:67710f344889d9d5265f0896ffc063233ee7372f09820ee85a66db815858b2f9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:42.041672Z digest=sha256:48de846a8e73b5d0c4446fefb29eb6d6e1fa696e7dbd9485cff7b80140dd9905

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:42.135452Z digest=sha256:7fc04ce011dc4b98912727008ab14aaaf1255e55b733fdaaeb1bd2f0d3c0e065

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:42.250170Z digest=sha256:3c21555c9b3f975be1737d742150ad7e13cf9c2f6cfa5973df597aad15c31a83

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:42.366598Z digest=sha256:1be37d544a9f69807ed10333a150084490bb36b908f4fe5c93202b66fcb841a8

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:42.528344Z digest=sha256:9550659ad6b692b51f872e5b5ad16fafbb3db10740bfb5d7b146f5734e27025d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:42.614079Z digest=sha256:187a8555aba1b0f1a3117fc5bf0ae4c4a938125cb494394649166a8e365c2f28

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:42.681316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:42.681316Z digest=sha256:536349b2b410fe6072f6f786f4e745bcac09a84bf9d94008c19e55885f2b5272

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:42.700788Z digest=sha256:6fa4493abaf6a799149ad62c63f19e36ef7c8886f4c157111af8b574fbac1f1f

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:42.789408Z digest=sha256:8407c7080be449faba927eb51f876495833aa5154fc6854509a430fae0416686

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:42.888592Z digest=sha256:0163f44e442d8be59d98cb37285b751d07ab510bd84f6029b6f12d8682b48a45

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:42.956410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:42.956410Z digest=sha256:c097140aca9a6df9802a7d95141b9933161463c19ee4b34450dc1dd9ca2eecf9

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:47:43.020737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:43.020737Z digest=sha256:a4ece502340b795e858838f5ea70ae22411ce7b99cbd7aa8597f68629dae27ee

Observation 170e91f4-84da-48b8-a675-92b102afe226 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.110156Z digest=sha256:4db4661394a49a85a0ae92dee5663267a6a714cde4529b19a43008c2a61a4d55

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.184087Z digest=sha256:090aa52bcd5ac8f29b5a7a91dc1ec5a7cc85f0a460ca3b6fd71a92532f25ef9b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.249421Z digest=sha256:68d86c7cce2bc5d8135a259c3a607b60ec563d3c38391e3ceaa50c309f4f23b6

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.321110Z digest=sha256:a1691bdb5d0f7f43c3dcd14fa3d6fe044a231f90023181ef2237aa3f4c0b2219

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.385159Z digest=sha256:b6adcdac98ac89cc3e10322009fce64c019a7a396ea4fe8a4570f4570c98f0bd

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.433726Z digest=sha256:a3af89c8cc703e61e4879bdb4f96b0e21470700666b2812704e725fcdd567e85

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.519684Z digest=sha256:3d85a1767b7fdba0cd768c852586d0f98ae2e3470836fa0b6bcb7e7827fdf70a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.578694Z digest=sha256:ccb230e613b1658395e816843bdd8e6042e919b529182ccdf80ee113f6eae31e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.691710Z digest=sha256:86f0b842ee67f43f65f63de43ff2b05b7d78c2d899b70b5843962e48413daa44

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.759544Z digest=sha256:ef61ad57c53343a4a5858cc820b483c433ebfc7ab031ff7fb2c58b1d5a6c910d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.820059Z digest=sha256:684472a37bb6f0a1c087c25d2cb8ee272b1a3e78c2a3b115f03dcf99c97217cd

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:43.974600Z digest=sha256:66502381f537b28b89a281ca3a5b0bb54646f47da5899e356ef9c981f5cb1d11

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.110469Z digest=sha256:dd947132772c50b9c349e7d373c765f40ccb0e9f45fa6d7790f1bc5c4d35f2ca

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.236045Z digest=sha256:99e358e86fd067320153f5cad33605517247962e69a03188e1b72a451639fbb2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.376845Z digest=sha256:633ffbd67edf5e9d6a31ef6b4874f6d202ee838ca012ed7144d1a4eedc6c82fd

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:47:44.511498Z digest=sha256:9231bdb828ef9a33412b1724fc6b738cb1d209fa7812696d5120474b7e576524

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.614860Z digest=sha256:58ddf2af168ae6c044cb59d8bf8ad117bfb1166909e9b16be486655755e6b69b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.742796Z digest=sha256:bd4340d7f6276a697e0d5da331e72a2dd69dab273928153839c7610fc6a936e4

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:47:44.831009Z digest=sha256:52dac96f19b8acfa926d0debcc9d1580fe58969096516ee5e032dca3e3177ada

Pith citing papers

No inbound Pith citation observations are available.