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Paper Citation Record · LEDGER

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.16192.

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

pith.paper-citation-record.v1
2406.16192 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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:30:04.521525Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:16:30.548575Z

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 cd8dc9d0-6a44-42f4-b0f4-a69dbb8b8393 · inbound

Accelerating Data Processing and Benchmarking of AI Models for Pathology cites this paper.

Accelerating Data Processing and Benchmarking of AI Models for Pathology HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T14:30:04.521525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:30:04.521525Z digest=sha256:d36f0894d566f6a72123d03b62312994c67e8aded7c7ce8c5e5e470f2bd3fb45

Observation 3b057064-7f44-4c38-82b2-2bfc00955fd2 · 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 HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:54.844688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:54.844688Z digest=sha256:e405d8b5b1ad5e84a70c121ad874c0bf2f81fad688f77e22fa0a3882b0d873d3

Observation 5dd7b46e-2972-47da-bdc3-4fbf6299b46a · inbound

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification cites this paper.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:31.816732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:31.816732Z digest=sha256:2ef4d038a808e5b3b0c049e366e70554c795b814f36a3caac07602124ad5c91c

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

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

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

Reference 27

Resolution
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 65be591b-a5c8-4b18-b5c2-522032931f25 · inbound

Sparser2Sparse: Single-shot Sparser-to-Sparse Learning for Spatial Transcriptomics Imputation with Natural Image Co-learning cites this paper.

Sparser2Sparse: Single-shot Sparser-to-Sparse Learning for Spatial Transcriptomics Imputation with Natural Image Co-learning HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:05:15.809905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:05:12.116835Z digest=sha256:4a1b892606694c21ccf9d268723a94b94e32a8a34ca2cd95b6db25d9d2336c23