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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:31:20.468581Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
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External citation measurements

22
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ad3cb53b-3208-4a76-bb54-f8dd6e6be550 · inbound

ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics cites this paper.

ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T13:30:01.675914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:30:01.675914Z digest=sha256:91f579aae8a5f3f24a5156cb41e7988fbc06f1aa5048c9c520e6999afe8e2b5c

Observation 10b02546-8935-4661-ab81-e1e5d798cee9 · inbound

MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images cites this paper.

MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T23:24:41.409967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:24:41.409967Z digest=sha256:84a7013cfb9bf92251af04bfc45ad120854e6819c3b9fb6f3c119aeeac06797f

Observation 27fde124-55c8-473c-8020-9d09334d5ac4 · inbound

From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba cites this paper.

From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T10:23:54.726655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:23:54.726655Z digest=sha256:6bd1f404191584dd9658f509c2118bd5d04133cb2b3d0e78e725ed5a78d76851

Observation c46f2497-a842-4d5c-83fb-62d8c0bc55fd · inbound

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

Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T14:10:43.627045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:10:43.627045Z digest=sha256:fe17748aeea2975fd2bfefc03f4af2dd323e84d6a6b157969203bb10fa10b2d4

Observation 8f617837-58fc-4948-b730-141b08818319 · inbound

Distilling foundation models for robust and efficient models in digital pathology cites this paper.

Distilling foundation models for robust and efficient models in digital pathology HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T13:40:24.340306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:40:24.340306Z digest=sha256:5cbb60641b45c2acbc7e30301aafeb516079213f0e67cbb5db1602d99aca0629

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=sha256:4e3231ca250b87f77638113c9ea62f10392f45950ed9f08bc4c7956793732b11

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=sha256:173f48d061c74b8c8eadbfc25a4e633d7eb76276cdcbf4b30d93f2c8aed5a1b5

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:b223baf9c617e7b6dc37683316724acd2e2ac5ec6b9764878beaf9bf278769eb

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=sha256:38e6a4bb73c2df9983ad77ce4f162bca3a0be5aa086221a8698b90ff15e45f39

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:05:12.116835Z digest=sha256:53093003afb0ba0674386fd944f9512f76c6e1f540c15c3d531f0a707498116f

Observation 497eca0e-ff09-4f73-a1d4-c23c648cd72d · inbound

Robustifying pathology foundation models via fine-tuning cites this paper.

Robustifying pathology foundation models via fine-tuning HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T15:31:20.468581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:31:20.468581Z digest=sha256:169b8820c22880da61cd2750a9e1f512817dee689d1d8015a2ec1bf0216eb2af