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Paper Citation Record · LEDGER

Lung and Colon Cancer Histopathological Image Dataset (LC25000)

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:1912.12142.

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

pith.paper-citation-record.v1
1912.12142 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:30:12.911682Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T03:05:54.952503Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 26d804fc-c83a-4eb8-8ba3-d189f2bd81e8 · inbound

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs cites this paper.

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 50

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verified exact
arxiv_id, observed 2026-05-13T10:42:22.408444Z

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=pdf_text observed=2026-05-13T10:42:22.378367Z digest=sha256:91c6dc3078f19c279dacfd7e3ce9bb0aa2f31aca6c494c58a7638df9f2497db7

Observation b3b5fcc0-1982-478b-a12f-07f469a0bf07 · inbound

Histopathology Multi-modal Embedding for Pathology Composed Retrieval cites this paper.

Histopathology Multi-modal Embedding for Pathology Composed Retrieval Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 6

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unresolved
no resolver link, observed 2026-08-08T13:30:12.911682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:30:12.911682Z digest=sha256:840c94a384eb1356ee0f5c21f73db1eb08f1205020fb7c5c85e2b15f9ce7e1f2

Observation d9ce561e-82af-48eb-987e-827a649111b7 · inbound

Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection cites this paper.

Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 37

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verified exact
arxiv_id, observed 2026-05-22T21:32:10.255367Z

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=pdf_text observed=2026-05-22T21:29:43.384422Z digest=sha256:256faa2db03cba48eb654821672351cfa1fec4dead24f92c27f15b405ecc7545

Observation 742742e3-5d6f-4aca-b3cb-1e3791f4fcff · inbound

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation cites this paper.

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 67

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unresolved
no resolver link, observed 2026-08-06T22:09:13.976650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:09:13.976650Z digest=sha256:a3c336b8147cc9384d1f4e07a01d6177e2f4e74552678b8f2bd8d536151a164e

Observation bcc92d1c-5f9c-4a65-a96c-381f95f98846 · inbound

Classification based deep learning models for lung cancer and disease using medical images cites this paper.

Classification based deep learning models for lung cancer and disease using medical images Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 28

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unresolved
no resolver link, observed 2026-08-06T21:02:18.973780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:18.973780Z digest=sha256:c282f8fa5184a6af2e091552c5d6726e953aeb4baa127feb4db6c994ced0b5ec

Observation bcbb425d-e21e-4b10-9b7a-f036a37fe1ec · inbound

Caching Techniques for Reducing the Communication Cost of Federated Learning in IoT Environments cites this paper.

Caching Techniques for Reducing the Communication Cost of Federated Learning in IoT Environments Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 19

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unresolved
no resolver link, observed 2026-08-06T15:55:08.065532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 25b7a688-ff1d-48c3-b9fd-b4e8768dc089 · inbound

A Unified Low-level Foundation Model for Enhancing Pathology Image Quality cites this paper.

A Unified Low-level Foundation Model for Enhancing Pathology Image Quality Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 81

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unresolved
no resolver link, observed 2026-08-05T13:00:48.330686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:00:48.330686Z digest=sha256:879e94a5c08236b2b6fa06bbd6464c5878f2ec36fb44e18d867551427794156a

Observation 17d35ec2-7972-487e-a7c0-5d1f4ee988d8 · inbound

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach cites this paper.

Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 21

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unresolved
no resolver link, observed 2026-08-05T11:24:56.052413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:24:56.052413Z digest=sha256:02f00bed2aeba8f9b68cc3986e037f3474a1a156a025893baeb603123decab67

Observation f7d9c090-15de-45af-b081-256fcd612ed2 · inbound

Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise Performance cites this paper.

Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise Performance Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:28:14.598970Z

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=pdf_text observed=2026-05-16T18:28:07.930308Z digest=sha256:fe3b7c42f01c46e2b94ca777cd50062ad1997b4879b209afd42dd359e0c993c5

Observation cac3f729-fec8-4e7d-a861-c1d29237a8b8 · inbound

A Generative Foundation Model for Multimodal Histopathology cites this paper.

A Generative Foundation Model for Multimodal Histopathology Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:08:15.393060Z

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=pdf_text observed=2026-05-13T18:06:42.834709Z digest=sha256:5c78b21c925f514d4cc963a24851db6b7ea7ddff4c96385e67adc8cd2fbcd588

Observation f755ed7a-2aad-4ce3-866c-c0e50b88994a · inbound

SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification cites this paper.

SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:33:41.211551Z

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=pdf_text observed=2026-05-10T09:33:31.138441Z digest=sha256:46b9da0e8226d306bd7711797bfa3beabd52140819ab30589b611f574a48dc67

Observation 241ac31a-eb93-44a9-a8c4-efb1c62a1317 · inbound

Dual-Modal Lung Cancer AI: Interpretable Radiology and Microscopy with Clinical Risk Integration cites this paper.

Dual-Modal Lung Cancer AI: Interpretable Radiology and Microscopy with Clinical Risk Integration Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 8

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metadata mismatch
arxiv_id, observed 2026-05-10T07:26:59.737128Z

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=pdf_text observed=2026-05-10T07:22:29.938982Z digest=sha256:67e851bf80215f54ff000ae3827b9834ad2ed71a6d585647d3f3b06a3f1847d0

Observation 7102653c-5212-4280-93b3-8f348668da5a · inbound

A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation cites this paper.

A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 56

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verified exact
arxiv_id, observed 2026-06-29T19:33:54.365733Z

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=pdf_text observed=2026-06-29T19:23:57.130409Z digest=sha256:b978ac172b0ffaac91aa50b9639f249b2ce62944c7da194152d5d26130d9113b

Observation 501eb44c-b270-48fa-a077-1a73d8a61454 · inbound

A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation cites this paper.

A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-02T13:12:52.980087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:12:52.980087Z digest=sha256:48dae9520f63f05bc5dbf6f234254ef266a167844688a4851de1ec4da1d536fd

Observation 6cca3868-2daf-4302-b48a-87ca813d297e · inbound

Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models cites this paper.

Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.128859Z

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=2026-06-28T06:34:42.631503Z digest=sha256:9f39678234ab677eb84f52559e8c68b27b8e4571b7c4bd566918716e8af4b5a4

Observation 6e5c52f6-7c77-4dbf-8386-da0cf29bf39b · inbound

One Stone, Three Birds: Self-adaptive Optimal Transport for Multi-VLM Selection, Adaptation, and Ensembling cites this paper.

One Stone, Three Birds: Self-adaptive Optimal Transport for Multi-VLM Selection, Adaptation, and Ensembling Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:07:23.781552Z

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=pdf_text observed=2026-06-27T19:57:15.988771Z digest=sha256:1ea5acea718ca51170b3071e892534408c6a1b5088d5466e16ae60af2841a03c

Observation 522a98c1-9956-4dca-aed4-8273041c6e3e · inbound

BioMedVR: Confusion-Aware Mixture-of-Prompt Experts for Biomedical Visual Reprogramming cites this paper.

BioMedVR: Confusion-Aware Mixture-of-Prompt Experts for Biomedical Visual Reprogramming Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:29:57.530941Z

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.

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Observation 84022ee7-914e-4846-a8d7-734fdf088a8b · inbound

MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models cites this paper.

MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 95

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verified exact
local_arxiv, observed 2026-07-09T03:05:54.954637Z

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.

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Observation b599f165-4934-41bf-ad2c-d9a404122cbd · inbound

ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts cites this paper.

ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-13T02:23:52.225787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T02:23:52.225787Z digest=sha256:18972eaed583475b7b60d96118b76c4380890b875ad761abcd0e0b0f5fd35178

Observation c9e947de-e8ce-49cf-9562-b98eaf04d864 · inbound

From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology cites this paper.

From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Reference 14

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unresolved
no resolver link, observed 2026-08-05T17:47:35.637555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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