Paper Citation Record · LEDGER

Detecting Cancer Metastases on Gigapixel Pathology Images

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1703.02442.

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

pith.paper-citation-record.v1
1703.02442 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 2026-08-15T06:32:42.880941+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:12:00.433930Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:07:12.708056Z

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 1cc665cc-e6a9-4b15-8c32-bc4bc4e27f68 · inbound

Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases cites this paper.

Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-25T17:51:06.186542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 293f231c-f6e8-49d4-bc6d-06cdeed42225 · inbound

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images cites this paper.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-24T17:49:45.462412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e1243ef-2174-4e15-9dd2-132015dedb2f · inbound

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods cites this paper.

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T13:12:00.433930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef37813-f29d-402d-bab5-becd1d525a37 · inbound

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation cites this paper.

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T10:45:33.982200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57bcb57-02d6-4c43-8d29-6eaa8f29ec50 · inbound

Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture cites this paper.

Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T10:20:15.390283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d3a886f-fd21-463c-b1e6-bd3b64f0b323 · inbound

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images cites this paper.

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T05:31:33.126791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47ee60a5-ed51-4c67-925d-afcf31064b9a · inbound

Self-Attentive Adversarial Stain Normalization cites this paper.

Self-Attentive Adversarial Stain Normalization Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T05:08:03.406309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e455828-f9ca-4969-b23b-5ce922cf6bfd · inbound

Intensity augmentation for domain transfer of whole breast segmentation in MRI cites this paper.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T04:49:24.673862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e6f6cb0-bb2c-4020-8d44-c04c1f6bb431 · inbound

Analysis of Big Data Technology for Health Care Services cites this paper.

Analysis of Big Data Technology for Health Care Services Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T05:55:15.477555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d063cd1f-af1c-4e80-afb8-e8cfbf1a1844 · inbound

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark cites this paper.

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T22:12:05.797219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0933444d-ecb9-4adc-997b-88fb86dd51a4 · inbound

Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge cites this paper.

Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:07:12.709609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.