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Paper Citation Record · LEDGER

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2511.03826.

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

pith.paper-citation-record.v1
2511.03826 v4

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:54:45.323059Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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  • unresolved35
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Outbound references

Observation 0db76206-d352-4105-80aa-4a547b64a0a6 · outbound

This paper cites Young, Nasir M.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Young, Nasir M

Reference 1

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Observation dc6086c6-02d1-4791-af7f-36a2af6a35f6 · outbound

This paper cites Comparison of Consecutive and Re-stained Sections for Image Registration in Histopathology.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Comparison of Consecutive and Re-stained Sections for Image Registration in Histopathology

Reference 2

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Observation ba9c6e7a-13b8-4c76-b2d1-3d54c5045a78 · outbound

This paper cites Gatenbee, Ann-Marie Baker, Sandhya Prabhakaran, Ottilie Swinyard, Robbert J.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Gatenbee, Ann-Marie Baker, Sandhya Prabhakaran, Ottilie Swinyard, Robbert J

Reference 3

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Observation 1aaed7ba-0e82-492f-bc8b-0bf57d10ac28 · outbound

This paper cites Deeper- HistReg: Robust Whole Slide Images Registration Framework, 2024.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Deeper- HistReg: Robust Whole Slide Images Registration Framework, 2024

Reference 4

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Observation 8f389c93-2609-4218-97a1-40e2f099532e · outbound

This paper cites Ahmed Raza, Johannes Lotz, Nick Weiss, and Nasir Ra- jpoot.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Ahmed Raza, Johannes Lotz, Nick Weiss, and Nasir Ra- jpoot

Reference 5

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Observation 34d3bfe9-6702-43ed-acca-4be688a96e50 · outbound

This paper cites an unresolved cited work.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Unresolved cited work

Reference 6

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Observation fb1979dd-8792-4b47-9e40-d5b142bcdbb4 · outbound

This paper cites Robust, fast and accurate: a 3-step method for automatic histological image registration, 2019.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Robust, fast and accurate: a 3-step method for automatic histological image registration, 2019

Reference 7

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Observation ac26c299-fe29-4bb4-b8cd-41fe97363ece · outbound

This paper cites Sorokin, Gloria Bueno, Alexander V.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Sorokin, Gloria Bueno, Alexander V

Reference 8

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Observation 6b0f6275-4281-4860-ae4b-8a4d259816bc · outbound

This paper cites Gatenbee, Alexander R.A.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Gatenbee, Alexander R.A

Reference 9

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Observation 835be082-919e-4712-8d10-0c1a3dc767fd · outbound

This paper cites Siegwart.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Siegwart

Reference 10

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Observation b94cb422-ec2a-4b81-bde6-85d4940ad04f · outbound

This paper cites A robust method for inter-marker whole slide registration of digital pathology images using lines based features.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment A robust method for inter-marker whole slide registration of digital pathology images using lines based features

Reference 11

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Observation 9f63325f-6a1d-4dd4-9bff-74a1979ddf2e · outbound

This paper cites Fischler and Robert C.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Fischler and Robert C

Reference 12

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Observation da790f08-15e3-4762-a88f-6951f1440d7c · outbound

This paper cites an unresolved cited work.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Unresolved cited work

Reference 13

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Observation 257300fe-f9a5-436c-9cdd-76eb04071bbe · outbound

This paper cites Pyatov and Dmitry V.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Pyatov and Dmitry V

Reference 14

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Observation 886188e2-18a1-4976-bec2-665317c140c5 · outbound

This paper cites Unsupervised His- tological Image Registration Using Structural Feature Guided Convolutional Neural Network.IEEE Transactions on Medical Imaging, 41(9):2414–2431, September 2022.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Unsupervised His- tological Image Registration Using Structural Feature Guided Convolutional Neural Network.IEEE Transactions on Medical Imaging, 41(9):2414–2431, September 2022

Reference 15

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Observation 4bcd4be5-99ff-499c-89c2-99296758c612 · outbound

This paper cites SuperGlue: Learning Feature Matching With Graph Neural Networks.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment SuperGlue: Learning Feature Matching With Graph Neural Networks

Reference 16

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Observation 292d71fb-914f-49d1-92b6-c9d1233883bc · outbound

This paper cites Deep autoencoder features for registration of histology images.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Deep autoencoder features for registration of histology images

Reference 17

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Observation 9e30d05e-7b6f-4355-b568-4bae80660388 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Flownet: Learning optical flow with convolutional networks

Reference 18

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Observation 886564c4-2ac8-44e3-839c-8f71cf38a346 · outbound

This paper cites Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps, 2020.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps, 2020

Reference 19

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Observation 39f9552e-1312-474d-9608-89fe4b43cd93 · outbound

This paper cites Ahmed Raza.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Ahmed Raza

Reference 20

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Observation 122b4118-d1c2-4e0d-bd37-9609659cc381 · outbound

This paper cites HyReCo - Hybrid re-stained and consecutive histological serial sections, July 2021.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment HyReCo - Hybrid re-stained and consecutive histological serial sections, July 2021

Reference 21

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Observation 19e4e4df-e645-45db-8993-f2349a3d3f45 · outbound

This paper cites Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis, 2024.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis, 2024

Reference 22

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Observation b3c49282-2c51-42e5-aa66-f070a4481c45 · outbound

This paper cites Source data for V ALIS: Virtual Alignment of pathoLogy Image Series for multi-gigapixel whole slide images publication, May 2023.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Source data for V ALIS: Virtual Alignment of pathoLogy Image Series for multi-gigapixel whole slide images publication, May 2023

Reference 23

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Observation 38a7e242-b1be-4295-a736-3a2fc41f0f38 · outbound

This paper cites Green, Margaret Eminizer, Daniel Jimenez-Sanchez, Steve Lu, Elizabeth L.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Green, Margaret Eminizer, Daniel Jimenez-Sanchez, Steve Lu, Elizabeth L

Reference 24

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Observation 54053703-0851-4c64-a7f9-c4dafe4800ff · outbound

This paper cites an unresolved cited work.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Unresolved cited work

Reference 25

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Observation 32ddc365-83cb-4591-a7e8-16d8626c578b · outbound

This paper cites Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks, 2023.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks, 2023

Reference 26

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Observation 480b99bd-62ef-4212-8a62-69b658773e9e · outbound

This paper cites Segment Anything.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Segment Anything

Reference 27

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Observation 0425a569-52e0-4706-bf38-7be628adf65e · outbound

This paper cites Nascimento.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Nascimento

Reference 28

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Observation 8cedb097-3734-413a-9be6-dfff792f293e · outbound

This paper cites Avants, Nicholas J.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Avants, Nicholas J

Reference 29

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Observation 7d5cde3e-165b-4d1f-9efe-66979903cbd1 · outbound

This paper cites Sabuncu, John Guttag, and Adrian V.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Sabuncu, John Guttag, and Adrian V

Reference 30

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Observation 55546e91-cadb-4a63-a182-9ab4bc663b84 · outbound

This paper cites Fessler, Michael Roberson, James Balter, and Marc Kessler.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Fessler, Michael Roberson, James Balter, and Marc Kessler

Reference 31

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Observation e6d0641d-decd-402d-af71-321aeeb8087b · outbound

This paper cites Point Set Registration: Coherent Point Drift.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Point Set Registration: Coherent Point Drift

Reference 32

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Observation 16544599-12de-4a91-8512-57fa0e27d179 · outbound

This paper cites Study details: Nct04916704 — subclinical cytomegalovirus reac- tivation in acute anca-associated vasculitis.https://clinicaltrials.gov/study/ NCT04916704, 2024.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Study details: Nct04916704 — subclinical cytomegalovirus reac- tivation in acute anca-associated vasculitis.https://clinicaltrials.gov/study/ NCT04916704, 2024

Reference 33

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Observation 90ee70bb-5585-4c65-a8ea-e377cdb5efd3 · outbound

This paper cites Multistep, automatic and nonrigid image registration method for histology samples acquired using multiple stains.Physics in Medicine & Biology, November 2020.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Multistep, automatic and nonrigid image registration method for histology samples acquired using multiple stains.Physics in Medicine & Biology, November 2020

Reference 34

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Observation f58cdffc-f309-4505-93fd-2599eb1337fa · outbound

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CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Unresolved cited work

Reference 35

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Observation 3dc6e6f9-1894-4d0b-8f1a-8fdc99b19ab4 · outbound

This paper cites Rajpoot, and Shan E Ahmed Raza.

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment Rajpoot, and Shan E Ahmed Raza

Reference 36

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Pith citing papers

No inbound Pith citation observations are available.