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Paper Citation Record · LEDGER

STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.06393.

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

pith.paper-citation-record.v1
2406.06393 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:55:31.376900Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T05:12:05.124111Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ac28ab8a-4446-4109-848c-f71922bb943f · inbound

Large Images are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting cites this paper.

Large Images are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T22:55:31.376900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:55:31.376900Z digest=sha256:268c873021ff4bb603addf0de15d4357bc09f71ed4fb4f783ff0df1c4499d798

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

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:54.459593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:54.459593Z digest=sha256:96f986cad6c7b7a2e47e8874c060351f92ee42b78b9fbf5b423060240dccad84

Observation f151e22a-a208-4743-8a42-f4e156cb43b8 · inbound

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning cites this paper.

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T21:35:25.709804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:35:25.709804Z digest=sha256:69743a3db8cb9c79b27d2933d3663e95e5f826a424097049f57c6efc13fc9e5f

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

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes cites this paper.

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

Reference 6

Resolution
unresolved
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 efd594d9-94ae-4bad-a42c-1414fcf48736 · inbound

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research cites this paper.

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics

Reference 185

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:12:05.126010Z

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=2026-05-19T05:10:23.963494Z digest=sha256:985e295548173a97911b8f398be98149661276f0207b757319f6d6df8e8163f5