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Paper Citation Record · LEDGER

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2506.05361.

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

pith.paper-citation-record.v1
2506.05361 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:56.400247Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:01:21.792617Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T10:04:35.995714Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9aa9b8c-f816-4d4d-b4aa-76781b294bfd · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Building Normalizing Flows with Stochastic Interpolants

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f465de2f-5830-4e17-90db-2d736a528f42 · outbound

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

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 3

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Observation 96ff25f3-58dd-4104-8c52-3c3f65a188e4 · outbound

This paper cites Se (3)-transformers: 3d roto-translation equivariant attention networks.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Se (3)-transformers: 3d roto-translation equivariant attention networks

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T14:28:57.396568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 440acca7-9f2d-4b8c-bff6-8db0293e3e43 · outbound

This paper cites an unresolved cited work.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e2c4faf9-47cd-45fa-a519-257a0a46d04d · outbound

This paper cites AlphaFold Meets Flow Matching for Generating Protein Ensembles.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching AlphaFold Meets Flow Matching for Generating Protein Ensembles

Reference 8

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source=pdf_text observed=2026-08-07T14:28:54.935322Z digest=sha256:61538fa40ccb3f92bcb52045d330b8acb7233419d62de7981490cb87e594735e

Observation 1f541783-a10a-4184-9d27-357229ff253b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Adam: A Method for Stochastic Optimization

Reference 9

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Observation b4acc224-6e9c-4fa4-9f16-65af64a8852b · outbound

This paper cites Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Reference 10

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source=pdf_text observed=2026-08-07T14:28:55.157387Z digest=sha256:54a82c6c2da6e0bc6b829a0826b0fdedc83981c8b10f69d90aea34a76be273b2

Observation 6d6e8422-5722-425c-aab1-389da678bfed · outbound

This paper cites Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials

Reference 12

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source=pdf_text observed=2026-08-07T14:28:55.368973Z digest=sha256:21b65c2553f14cf81f43453885ef915a30e6c595b2a6d895fc163d7ecf253b57

Observation 666c2e32-9aef-4030-877e-b4c68ee8d190 · outbound

This paper cites Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T14:28:57.203319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c39d07ce-d341-4d4d-9e7c-bb99cf2fde0f · outbound

This paper cites Frame Averaging for Invariant and Equivariant Network Design.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Frame Averaging for Invariant and Equivariant Network Design

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 4dd8baa8-3f10-4a69-b0e3-64ee425d9ca3 · outbound

This paper cites Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 17

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source=pdf_text observed=2026-08-07T14:28:56.007930Z digest=sha256:7e9bdb7267907faf2a8259c63a14b894f7e6ee1a3eb6e5419f01048a3a865094

Observation eafaebdc-3435-46e0-ae89-b2651ea44185 · outbound

This paper cites Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images

Reference 18

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source=pdf_text observed=2026-08-07T14:28:56.162058Z digest=sha256:a80f0ff6a174c6e6d011ed27aec37c57bdcc11eff0076d6b8d40cbc7aec35243

Observation 440f06e3-284a-4cc0-a105-e5e348d55e78 · outbound

This paper cites Dataset Table 7 lists the statistics of HEST-Bench.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Dataset Table 7 lists the statistics of HEST-Bench

Reference 19

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raw_fallback, observed 2026-08-07T14:28:56.960578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:28:56.302759Z digest=sha256:c2902e177c226459baee138d8f6556aa44f2a51686f5326ac5fe8edf12dc42e4

Observation c515ed38-2a35-4fd5-869f-f868046bc48f · outbound

This paper cites Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer

Reference 2016

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source=pdf_text observed=2026-08-07T14:28:54.749460Z digest=sha256:8c0a600df14894155c7d0d63a559a731b7c5a5dd55e0998153c8bab72961078d

Observation 965a9c91-e421-4085-82d1-4a3fbb7f877c · outbound

This paper cites RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching

Reference 2018

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source=pdf_text observed=2026-08-07T14:28:55.653590Z digest=sha256:6953e4a68fb69cbcb5824a31681542b17816c684c935b3d7e971d031dfae33c7

Observation 4a75fda4-b7fa-46aa-956d-0ced02a72500 · outbound

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

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics

Reference 2019

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source=pdf_text observed=2026-08-07T14:28:54.459593Z digest=sha256:735450ff65834be4caa9cd259b7f90b29d85bd85b7556160e4999faa62dcbac8

Observation 41810004-7d00-41ac-b509-dc499e75323e · outbound

This paper cites How Attentive are Graph Attention Networks?.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching How Attentive are Graph Attention Networks?

Reference 2021

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Observation 357621d2-8389-496d-9458-314bb1a90230 · outbound

This paper cites Flow Matching for Generative Modeling.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Flow Matching for Generative Modeling

Reference 2022

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source=pdf_text observed=2026-08-07T14:28:55.270517Z digest=sha256:e75d2a63f19e8bcaa02f4e77efd0990f35f36b83740823a00c99a0934ddf6112

Observation 9694ae3f-ed28-4e27-9b5d-3fcc20c049d6 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 2023

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Observation 3b057064-7f44-4c38-82b2-2bfc00955fd2 · outbound

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

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 2024

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Pith citing papers

Observation 8160f7fc-5609-4fe0-9810-d0979303245a · inbound

ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data cites this paper.

ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching

Reference 4

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arxiv_id, observed 2026-05-18T10:11:13.901916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T10:09:34.820621Z digest=sha256:8a0bb56939af7d463bdcc68fc62169b34d2b65d942784c1ff5824db81a785e60

Observation ef26bd0d-781a-4d33-9536-4c22b686df74 · inbound

Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation cites this paper.

Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching

Reference 34

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arxiv_id, observed 2026-06-30T10:04:35.997192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T10:01:21.792617Z digest=sha256:a214207d5f03311e74576104b8740bf12fc88af2ecb6a54ac6094082921ba4cc