Paper Citation Record · LEDGER

PanNuke Dataset Extension, Insights and Baselines

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2003.10778.

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

pith.paper-citation-record.v1
2003.10778 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:48:51.577006Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

156
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2229cd24-ffd0-4ff1-924c-8d8116426417 · inbound

Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification cites this paper.

Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification PanNuke Dataset Extension, Insights and Baselines

Reference 136

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:54:03.772966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e67becfb-7d2f-41f3-a155-ef97bb388c8e · inbound

MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification cites this paper.

MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification PanNuke Dataset Extension, Insights and Baselines

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:51.577006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf930bb8-7da8-46bb-826e-2b9bfa534c38 · inbound

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping cites this paper.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping PanNuke Dataset Extension, Insights and Baselines

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:58:52.013013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f2a7a4e-512f-4469-ba0d-a9bb15fb0cf4 · inbound

SAM 3: Segment Anything with Concepts cites this paper.

SAM 3: Segment Anything with Concepts PanNuke Dataset Extension, Insights and Baselines

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T20:25:11.411152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3d048a1d-4d75-46ce-a691-0871bcc1dc54 · inbound

Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy cites this paper.

Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy PanNuke Dataset Extension, Insights and Baselines

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:43.206430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad906440-9518-455f-a9fc-3cd1376b4a28 · inbound

OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA cites this paper.

OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA PanNuke Dataset Extension, Insights and Baselines

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:11:01.269792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 400da00e-1378-4e65-b883-efa448c3cb5f · inbound

Leveraging Spatial Transcriptomics as Alternative to Manual Annotations for Deep Learning-Based Nuclei Analysis cites this paper.

Leveraging Spatial Transcriptomics as Alternative to Manual Annotations for Deep Learning-Based Nuclei Analysis PanNuke Dataset Extension, Insights and Baselines

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:06:11.989832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28836602-711d-4d62-83ae-d90a4e68d29b · inbound

VitaminP: cross-modal learning enables whole-cell segmentation from routine histology cites this paper.

VitaminP: cross-modal learning enables whole-cell segmentation from routine histology PanNuke Dataset Extension, Insights and Baselines

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-08T23:09:28.334339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d7defd7f-b1c2-4bde-a6a5-fdde0eb4aace · inbound

Biological Spatial Priors Regularize Foundation Model Representations for Cross-Site MSI Generalization in Colorectal Cancer cites this paper.

Biological Spatial Priors Regularize Foundation Model Representations for Cross-Site MSI Generalization in Colorectal Cancer PanNuke Dataset Extension, Insights and Baselines

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:46:13.313466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4080ab6f-fb6f-4249-ac76-ff7bd6413946 · inbound

PathAR: Structure-First Autoregressive Synthesis of Multimodal Pathology Images cites this paper.

PathAR: Structure-First Autoregressive Synthesis of Multimodal Pathology Images PanNuke Dataset Extension, Insights and Baselines

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:06:15.884627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 51466f73-5d30-4b08-8c76-186bfab61c17 · inbound

MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models cites this paper.

MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models PanNuke Dataset Extension, Insights and Baselines

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:16:58.458062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ec63aae-19b7-40ac-9dc8-eba0572698d6 · inbound

DualGate-Net: A Prior-Gated Dual-Encoder Framework for Histopathology Cell Detection cites this paper.

DualGate-Net: A Prior-Gated Dual-Encoder Framework for Histopathology Cell Detection PanNuke Dataset Extension, Insights and Baselines

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:27:09.360621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6ea9e247-3495-4669-8725-0c7fdc155aea · 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 PanNuke Dataset Extension, Insights and Baselines

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:07:23.794732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c2ba9e29-5662-4307-988c-e482deb06eee · inbound

Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation cites this paper.

Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation PanNuke Dataset Extension, Insights and Baselines

Reference 98

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:07:27.013455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 62b6208d-35c3-413f-ac8c-b61c7116aac1 · inbound

Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy cites this paper.

Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy PanNuke Dataset Extension, Insights and Baselines

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:48:02.823161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5c4c821e-8178-4b12-aea9-cafeac67ce3c · inbound

Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy cites this paper.

Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy PanNuke Dataset Extension, Insights and Baselines

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-15T10:50:31.326454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bec1967-c502-41e6-8550-ba52f5a563d0 · inbound

SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology cites this paper.

SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology PanNuke Dataset Extension, Insights and Baselines

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T01:50:21.586673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e592902-3cc5-4fc1-b30e-45a46397cc0b · inbound

CellDETR: A Detection-Guided Framework for Scalable Cell Representation Learning from Histopathology Images cites this paper.

CellDETR: A Detection-Guided Framework for Scalable Cell Representation Learning from Histopathology Images PanNuke Dataset Extension, Insights and Baselines

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:34:22.038124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f4be436-21ee-456e-b986-33ac12cfad81 · inbound

CellPrior-Net: Prior-Guided Nuclei Detection and Classification for H&E Whole-Slide Images cites this paper.

CellPrior-Net: Prior-Guided Nuclei Detection and Classification for H&E Whole-Slide Images PanNuke Dataset Extension, Insights and Baselines

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:56:27.037489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e0317d1-16c8-4ac8-8536-3d8681229fc2 · inbound

HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy cites this paper.

HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy PanNuke Dataset Extension, Insights and Baselines

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T19:52:10.091159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6c93a65-a7b9-4e05-a1f0-e31752c16461 · inbound

The Good, the Bad, and the Brittle: Benchmarking Robustness and Generalisation of Histopathology Foundation Models cites this paper.

The Good, the Bad, and the Brittle: Benchmarking Robustness and Generalisation of Histopathology Foundation Models PanNuke Dataset Extension, Insights and Baselines

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T19:27:31.668376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.