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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 2026-08-08T06:32:00.761636+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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T10:42:22.378367Z digest=sha256:697180af228de5d272901eb0d2a3770bef7a48f730cdf1d967dd992aac847cda

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 2026-08-08T06:32:00.761636+00:00.

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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:a861eeafe50a7048034fb9012c25ece1047fe3544ace8c52f389fc2282ace04f

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

Resolution
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

Resolution
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=sha256:2013098b4eb18d7a78f61108006bd09408e53df803a90733149ca60ebfedc543

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

Resolution
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=sha256:446af88263811c405598ee58418cab956c719115119f9c0a8b6f72c23df31ee1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T18:28:07.930308Z digest=sha256:c207c5005bfc6783305c8627601e0a9deb90c55c0aadffa343319de930e3f186

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T18:06:42.834709Z digest=sha256:37394ebae1627a0824c7e62020fc533ab4173e6bf0f1d6a552bc1981e62b8d14

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T09:33:31.138441Z digest=sha256:6b929a4a74cd270f2c1ec5033bba40f047246f3e2b76508b198b8e63166e1632

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T07:22:29.938982Z digest=sha256:c835060bddcb8c9340aa761c2ae3f819a1a62b42b6840ac9203247b153990413

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T19:23:57.130409Z digest=sha256:05bf5389e9991852c68abc1feb6f7ed838bc37d3eb480d96765122d8c1f9c949

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T06:34:42.631503Z digest=sha256:a3601d6bb8c610712a8bd31572140a8aed5fb683323701b3453bb751252b1381

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T19:57:15.988771Z digest=sha256:4564815001d8e5b6f61d4813f1c1a3f70b9695887f4b9dec149404c66b266abe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T00:35:29.689613Z digest=sha256:ec8d70d5df9df19491e76b9df100a8fdf2cc7a2ce737d3540dbbe36ed7a86318

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-09T02:59:56.503584Z digest=sha256:c4e60db3adaa07d6ed3477e040b7bd31233496a8391375c447c27c6b225facf2

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.

source=pdf_text observed=2026-08-05T17:47:35.637555Z digest=sha256:e9dd967f9d7f3f490670b628e1c25b694970aee8e98f096d62efb99ecbdb49d7