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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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
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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:28:56.400247Z digest=sha256:0ac3d85f9ef6e726d6af078807358405d30e4dc55252ea79d62a4339fbbce19e

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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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:55.157387Z digest=sha256:9ec99a99cea36e01251a302b14e6e39bd187058329c810b8fe56590ff8fe8fe8

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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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 2026-08-07T06:34:17.273281+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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source=pdf_text observed=2026-08-07T14:28:55.906461Z digest=sha256:077c611a8a9d8f25610a13c5538844f8ea5122c2f8fdcabd1a7c974b1126328f

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:d726cb95f4ba5a16b6d8ce271f53a0b7288727c5b8b91d3c5f98ea0e62e4ac50

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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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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:28:56.302759Z digest=sha256:166e1335622ed6cbd75cbf430d4ba986beda358e4fe24d161a1429cbd9c6d208

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:e92ab4e7d5efc6133fe233aa69d32df79c404c7d451ca2322505c8f1a0c05be2

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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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=sha256:96f986cad6c7b7a2e47e8874c060351f92ee42b78b9fbf5b423060240dccad84

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:f0105b816040685022eac9b0c88bb17b325ae06d1fe72dc3fa97cc33e5acf599

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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Source-reported events for the cited work

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T10:09:34.820621Z digest=sha256:284d8fa122d72851c7c3248081657c20cc990f9d2ea5e56c4c1d8b975e23e793

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T10:01:21.792617Z digest=sha256:85f65b96af85bff58a5d7a859657d243b0cf0f5f05490dd6ff0644775932e49e