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Paper Citation Record · LEDGER

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles

As of 11 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2501.14948.

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

pith.paper-citation-record.v1
2501.14948 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:49:32.430388Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56b5529d-35ab-44f5-9cfa-e83f02bfbd2b · outbound

This paper cites Tissue processing and hematoxylin and eosin staining.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Tissue processing and hematoxylin and eosin staining

Reference 1

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verified fuzzy
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Source-reported events for the cited work

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Observation 5862d4c3-7f97-4614-9675-447ea9748aa9 · outbound

This paper cites Gene expression prediction from histology images via hypergraph neural networks.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Gene expression prediction from histology images via hypergraph neural networks

Reference 2

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Observation 8b780c91-d92e-4530-8c86-6a13a27a2e3d · outbound

This paper cites Intra- and inter-observer reliability of ten major histological scoring systems used for the evaluation of in vivo cartilage repair.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Intra- and inter-observer reliability of ten major histological scoring systems used for the evaluation of in vivo cartilage repair

Reference 3

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verified fuzzy
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Source-reported events for the cited work

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Observation b1d585d1-6dfc-4a1a-8ea5-6388a2faeb65 · outbound

This paper cites Spatial transcriptomics: Technologies, applications and experimental considerations.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Spatial transcriptomics: Technologies, applications and experimental considerations

Reference 4

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verified fuzzy
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Source-reported events for the cited work

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Observation 529c3544-52f8-4b95-8651-2a1b92f8c889 · outbound

This paper cites Quantitative tissue anal- ysis reveals ak2, col1a1, & plg protein signatures: Targeted therapeutics for meningioma.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Quantitative tissue anal- ysis reveals ak2, col1a1, & plg protein signatures: Targeted therapeutics for meningioma

Reference 5

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Source-reported events for the cited work

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Observation b59b7247-f391-4d1b-a4a2-236da5bd998b · outbound

This paper cites The technology and biology of single-cell rna sequencing.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles The technology and biology of single-cell rna sequencing

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c4233695-6fb8-4363-8add-56a9bf91a0c3 · outbound

This paper cites an unresolved cited work.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles 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 2026-08-11T06:34:44.6726+00:00.

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Observation e1d5f3e6-3bb2-4dc5-9f88-bc8d789a6a24 · outbound

This paper cites Spatially exploring rna biology in archival formalin-fixed paraffin-embedded tissues.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Spatially exploring rna biology in archival formalin-fixed paraffin-embedded tissues

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1547d55e-5016-4c7a-a7bd-1964cbb5dccf · outbound

This paper cites Museum of spatial transcriptomics.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Museum of spatial transcriptomics

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ac290fc8-6c08-420e-85f4-a32d4a97083f · outbound

This paper cites Exploring tissue architecture using spatial transcriptomics.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Exploring tissue architecture using spatial transcriptomics

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation daafd75c-b001-4dac-b41a-b6b2732b2fa6 · outbound

This paper cites Learning transferable visual models from natural language supervision.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Learning transferable visual models from natural language supervision

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 88122c72-cf68-4fe2-9646-8627eceba3aa · outbound

This paper cites Integrating spatial gene expression and breast tumour morphology via deep learning.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Integrating spatial gene expression and breast tumour morphology via deep learning

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7aa77e07-1f0b-4eb5-8460-abf1a9e91404 · outbound

This paper cites Spatially resolved gene expression prediction from histol- ogy images via bi-modal contrastive learning.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Spatially resolved gene expression prediction from histol- ogy images via bi-modal contrastive learning

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ab6db484-de1b-4cd3-be57-8e58ad289dce · outbound

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

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 959f56f0-a4b9-4d2a-91a6-d2c57085fa9c · outbound

This paper cites Sodb facilitates comprehensive exploration of spatial omics data.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Sodb facilitates comprehensive exploration of spatial omics data

Reference 15

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Source-reported events for the cited work

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Observation 03104a0f-3460-4a3e-90ba-234947f85c42 · outbound

This paper cites Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d4f0d9fd-47de-4ae5-842b-3c6a530bbdb6 · outbound

This paper cites Single-cell, single-nucleus, and spatial transcriptomics characterization of the immunological landscape in the healthy and psc human liver.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Single-cell, single-nucleus, and spatial transcriptomics characterization of the immunological landscape in the healthy and psc human liver

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 2ea60541-c171-460a-bdf0-3eba98a8d2b6 · outbound

This paper cites Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7b9bf6d1-f63a-4401-8fc5-02d00cf596bb · outbound

This paper cites Scanpy: large-scale single-cell gene expression data analysis.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Scanpy: large-scale single-cell gene expression data analysis

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9a023abd-0b22-414e-a48d-be51a5786b24 · outbound

This paper cites Fast, sensitive and accurate integration of single-cell data with harmony.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Fast, sensitive and accurate integration of single-cell data with harmony

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4f6735ec-863b-4e3d-add3-8f68cea31618 · outbound

This paper cites Deep residual learning for image recognition.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Deep residual learning for image recognition

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2a9896e6-791e-4a7f-9158-da8e521f785c · outbound

This paper cites Aggre- gated residual transformations for deep neural networks.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Aggre- gated residual transformations for deep neural networks

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation fa5ed25e-9bd0-4333-8903-524327869c45 · outbound

This paper cites Benchmarking spatial and single- cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Benchmarking spatial and single- cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7c26a869-2598-4f98-a202-48424f0de48b · outbound

This paper cites Gudn: A novel guide network with label reinforcement strategy for extreme multi-label text classification.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Gudn: A novel guide network with label reinforcement strategy for extreme multi-label text classification

Reference 24

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Source-reported events for the cited work

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Observation c08bef86-7874-4d49-a4e4-50d1acf2219d · outbound

This paper cites Mod- ulation of mrna stability as a novel therapeutic approach.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Mod- ulation of mrna stability as a novel therapeutic approach

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c7be4b0d-efaf-40b8-bdcd-51adb2fd6ff5 · outbound

This paper cites Mettl protein family: focusing on the occurrence, progression and treatment of cancer.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Mettl protein family: focusing on the occurrence, progression and treatment of cancer

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ac95cf79-f302-4d4a-9cf3-713c38c2171e · outbound

This paper cites Cyclophilin inhibition as potential therapy for liver diseases.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Cyclophilin inhibition as potential therapy for liver diseases

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c3a7e22f-2236-4d45-b965-fdb1a470a30d · outbound

This paper cites Endo- plasmic reticulum stress: molecular mechanism and therapeutic targets.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Endo- plasmic reticulum stress: molecular mechanism and therapeutic targets

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4b466198-7663-4579-a6de-e4f18b978356 · outbound

This paper cites Jetstream2: Accelerating cloud computing via jetstream.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Jetstream2: Accelerating cloud computing via jetstream

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 55618404-09fd-4980-a998-b1187b74b10b · outbound

This paper cites Access: Advancing innovation: Nsf’s advanced cyberinfrastruc- ture coordination ecosystem: Services & support.

HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles Access: Advancing innovation: Nsf’s advanced cyberinfrastruc- ture coordination ecosystem: Services & support

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-10T14:49:32.475884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.