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Paper Citation Record · LEDGER

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2505.05689.

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

pith.paper-citation-record.v1
2505.05689 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:06:17.113058Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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  • verified fuzzy37
  • unresolved8
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b5752d5-74ba-456c-87dc-28c5677ef85d · outbound

This paper cites Mitosis domain generalization in histopathology images - the MIDOG challenge.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Mitosis domain generalization in histopathology images - the MIDOG challenge

Reference 1

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source=arxiv_source observed=2026-08-15T23:06:16.908600Z digest=sha256:0e3928ab0533d977db20c94b459c207333b7d40ecdf4e3e25767db203ecf55b9

Observation abf7b9b1-4a3d-4433-9fcd-fc0e20d8dd8f · outbound

This paper cites Artificial intelligence for diagnosis and gleason grading of prostate cancer: the PANDA challenge.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Artificial intelligence for diagnosis and gleason grading of prostate cancer: the PANDA challenge

Reference 2

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Source-reported events for the cited work

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Observation c3305226-305e-4dd1-9667-e3d3292cf00a · outbound

This paper cites Deep- HiTS : Rotation invariant convolutional neural network for transient detection.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Deep- HiTS : Rotation invariant convolutional neural network for transient detection

Reference 3

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Source-reported events for the cited work

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Observation b4480ce5-0f95-4057-9864-f4ff4d0f8eab · outbound

This paper cites A program to build E ( N )-equivariant steerable CNNs.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology A program to build E ( N )-equivariant steerable CNNs

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.923288Z digest=sha256:7c531098ce4402f23d6cb19a793e7ae07112d98c6e43e93176c1b25177d3f9b6

Observation 7cb585d3-e480-43bc-bed5-29a75a9754cf · outbound

This paper cites Rotation equivariant and invariant neural networks for microscopy image analysis.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Rotation equivariant and invariant neural networks for microscopy image analysis

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 80476927-6acc-46bd-8173-410e79f3f4ba · outbound

This paper cites Conditional Positional Encodings for Vision Transformers.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Conditional Positional Encodings for Vision Transformers

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T23:06:16.932220Z digest=sha256:92dc580616a9b7ff35da0c362d137573106e18e945c45e06f49504739503a94c

Observation 14484527-99cc-4754-b6a7-2d2e23aaa180 · outbound

This paper cites A coefficient of agreement for nominal scales.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology A coefficient of agreement for nominal scales

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:06:16.937493Z digest=sha256:12882a51ad46348a6c3ca5cce7cc0fcf64e874adca077da96b75d405cc257257

Observation c2ff006e-b9e6-419f-91e8-c32e1588555c · outbound

This paper cites Group equivariant convolutional networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Group equivariant convolutional networks

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 59c11561-9aa2-4cee-b131-19bba4b8ab9d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.945982Z digest=sha256:0f335e7f8ccc053f6cb34d22818965a44e50675c9319603a63d09e82d0176878

Observation 33591694-8cca-49fa-8794-450566a99725 · outbound

This paper cites SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:06:16.950236Z digest=sha256:9b8f7527bfb865189c5122bdf97af6dc0e7211c7bec4bd1e69856bc83d7a54ed

Observation 4487e49d-d08a-4f92-82ae-1f648f6b97ee · outbound

This paper cites Use of symmetric kernels for convolutional neural networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Use of symmetric kernels for convolutional neural networks

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d136d544-a9a6-4e56-a8c2-c1db547bb8cd · outbound

This paper cites SymNet : Symmetrical filters in convolutional neural networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology SymNet : Symmetrical filters in convolutional neural networks

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 09589cc7-ac25-4e29-906b-a779b9cfa177 · outbound

This paper cites Polar transformer networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Polar transformer networks

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 21167257-3fd1-4f02-ad8d-de7c87d9afe8 · outbound

This paper cites A rotationally-invariant convolution module by feature map back-rotation.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology A rotationally-invariant convolution module by feature map back-rotation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.725146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.968236Z digest=sha256:2a39bf407dda27935dae5b315ac308eff548f62387f371c220010a8675a21043

Observation 6479b936-8bd6-43e4-a578-182d8bcdcc96 · outbound

This paper cites Rotated ring, radial and depth wise separable radial convolutions.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Rotated ring, radial and depth wise separable radial convolutions

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.711659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.972418Z digest=sha256:119bede443e85e0e69e58bc3a08c02b4113103c096c3a0951e23449aeb52665d

Observation 17f989eb-fd72-4c0a-80ce-b67a9600c77d · outbound

This paper cites Rotation equivariant siamese networks for tracking.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Rotation equivariant siamese networks for tracking

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.976555Z digest=sha256:a5f7b2cbfef7eb65bf8891d9bc32d3ecad748b3ae1855d9418fbc7e84b71685a

Observation 078f7ae7-b159-49f3-82e2-826359229e69 · outbound

This paper cites Breast cancer multi-classification from histopathological images with structured deep learning model.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Breast cancer multi-classification from histopathological images with structured deep learning model

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.980731Z digest=sha256:1b48a15fea78382a8a29a38977bef9f81d6f8d73d049d340a1910e07305e35f6

Observation fbd9f2ea-455c-4e01-b5b6-d2a28c9e5f3f · outbound

This paper cites RRL :regional rotation layer in convolutional neural networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology RRL :regional rotation layer in convolutional neural networks

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a189d008-c2ad-4315-99b4-2ec360b1e865 · outbound

This paper cites Deep residual learning for image recognition.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Deep residual learning for image recognition

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 80d4be72-f32e-4f23-8555-5e29a068cf48 · outbound

This paper cites Spatial Transformer Networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Spatial Transformer Networks

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fab871a7-dafe-4a41-872c-cc7f6752aa48 · outbound

This paper cites Black, Larry Goldenberg, and Septimiu E.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Black, Larry Goldenberg, and Septimiu E

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fb043267-4b01-4329-82d5-f591e8d68b4d · outbound

This paper cites Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.002598Z digest=sha256:4bdaa087454016b4c0d60b37b3d44ca4610e5e4fafb936cb4551efee8c326218

Observation bccae7fe-e67d-4be5-807e-532cc1f98de9 · outbound

This paper cites CyCNN : A rotation invariant CNN using polar mapping and cylindrical convolution layers.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology CyCNN : A rotation invariant CNN using polar mapping and cylindrical convolution layers

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.006809Z digest=sha256:aba13b0b73193b2d26ef5a8ce8c3ec5625207be54c803e241d5ab757ab580c4f

Observation fd37bb3d-b11e-47df-8884-b19238bb6a8a · outbound

This paper cites Sample efficient semantic segmentation using rotation equivariant convolutional networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Sample efficient semantic segmentation using rotation equivariant convolutional networks

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.011127Z digest=sha256:f238cfc3128e710120f54c5f895ce3764eb27fee1e7ccdb706d050fec4d0f598

Observation 98a40357-1e77-444f-b7c4-6e72d694da74 · outbound

This paper cites Image analysis and machine learning in digital pathology: Challenges and opportunities.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Image analysis and machine learning in digital pathology: Challenges and opportunities

Reference 25

Resolution
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raw_fallback, observed 2026-08-15T23:06:17.603087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b807ef97-e71a-4c76-9368-a75d07fde9ed · outbound

This paper cites Rotation equivariant vector field networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Rotation equivariant vector field networks

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2b256add-47cf-4d83-96d9-1d1bb7be8d6c · outbound

This paper cites McGraw and S.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology McGraw and S

Reference 27

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no resolver link, observed 2026-08-15T23:06:17.023698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:06:17.023698Z digest=sha256:6775a1a6017eb5251911e6e37f781c7dfdd07131ac07edd25923715ac1d5c40c

Observation 6a196d21-893c-4068-bea6-c1c427dd628c · outbound

This paper cites Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption

Reference 28

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verified exact
local_arxiv, observed 2026-08-15T23:06:17.235320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4114d938-6304-4a0b-8c3e-2605ade1eb44 · outbound

This paper cites RIC - CNN : Rotation-invariant coordinate convolutional neural network.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology RIC - CNN : Rotation-invariant coordinate convolutional neural network

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.032810Z digest=sha256:7a0b4a767d7d8ddde5f94d626b86c17bf5ea5252decb115b80e606a6f52f7cc5

Observation 5859eab0-98d5-406f-be97-f71e068ac47a · outbound

This paper cites Whole slide imaging versus microscopy for primary diagnosis in surgical pathology: A multicenter blinded randomized noninferiority study of 1992 cases (pivotal study).

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Whole slide imaging versus microscopy for primary diagnosis in surgical pathology: A multicenter blinded randomized noninferiority study of 1992 cases (pivotal study)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.562445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.037053Z digest=sha256:84c500e5bb84bd90037327d759bb99cb2049b655959dfacfe15ccf0a68d0ec55

Observation 251bcfa4-69c5-4557-b1d0-813160ff6d54 · outbound

This paper cites Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.548841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.041135Z digest=sha256:69925956b873ced7e281af9a7651277756641a1117c0daec6742aa0b16b73dad

Observation bbd1c057-9cc2-4435-a47e-d20ebd14f0ba · outbound

This paper cites Skinnider, Peyman Tavassoli, Dmitry Turbin, Carlos F.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Skinnider, Peyman Tavassoli, Dmitry Turbin, Carlos F

Reference 32

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doi, observed 2026-08-15T23:06:17.148474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.045252Z digest=sha256:c72a3100a2339a2664e4e509a11fd1a497695aeb59c565e7f539e358326b3b04

Observation fa13fcd0-eebf-428d-a227-1ea82ac663e4 · outbound

This paper cites SPIN : Simplifying polar invariance for neural networks application to vision-based irradiance forecasting.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology SPIN : Simplifying polar invariance for neural networks application to vision-based irradiance forecasting

Reference 33

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raw_fallback, observed 2026-08-15T23:06:17.535190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.049523Z digest=sha256:992042cf835d48655e73b0efbb38d7148fe0bce29f8e2310e23464159a817fae

Observation b5a2b497-96aa-4302-9f9c-c19990cc0491 · outbound

This paper cites Limitation of capsule networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Limitation of capsule networks

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:06:17.214645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.053650Z digest=sha256:8ef8427e81ccb67de54e250c3b0a6f1602de45d17eeeb304d4b38d0b450ad381

Observation fcad3bd8-84b5-45a4-b696-30d5ec05837f · outbound

This paper cites Dynamic Routing Between Capsules.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Dynamic Routing Between Capsules

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T23:06:17.058194Z

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source=arxiv_source observed=2026-08-15T23:06:17.058194Z digest=sha256:eb510f8a1501a337920497956aa87df1782adcd704dc1abe15b7a306f0d4e3ac

Observation e1a9b984-6817-4849-b94c-4a84aa8e48e9 · outbound

This paper cites Going deeper through the gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Going deeper through the gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.521363Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.062676Z digest=sha256:6f071dd704a15bc63a807bdcc8b1ccc04248f8d133f7f51066a6c1ffe2c64c3e

Observation 23493c1b-7cb5-4698-b22d-7d8ef5873d9b · outbound

This paper cites Visualizing data using t- SNE.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Visualizing data using t- SNE

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.507888Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.066708Z digest=sha256:92b93431fbfc2f2d48b007c2f6ae99b07189a8e4314de46603f48d8a3ac94afc

Observation 5f3c2e86-ff5d-4436-be09-ee6dd7e6420e · outbound

This paper cites Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.494334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.070832Z digest=sha256:bf101b279faae29561c5a4327d6c38d0446266ab005593633d6622822d2ec4ed

Observation 098b8d25-591f-42a3-8f42-4a9f1c913f9e · outbound

This paper cites General e (2)-equivariant steerable cnns.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology General e (2)-equivariant steerable cnns

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.480221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.075219Z digest=sha256:a7f74529e9d2ce6cbb4915ee1a1ae31d1607ff14bcdbaba847ed04dc29ce58c5

Observation 0192f5d1-daaf-4727-a9c7-6464495b7c65 · outbound

This paper cites Learning steerable filters for rotation equivariant CNNs.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Learning steerable filters for rotation equivariant CNNs

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.466099Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.079288Z digest=sha256:1ec1850b90e60b7bbb4de20ba13f993cefa84a5c4d21222629f5278fbe39cf00

Observation f5515537-28fb-4cde-99e9-13c54c425dde · outbound

This paper cites Pan-tumor CAnine cuTaneous cancer histology ( CATCH ) dataset.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Pan-tumor CAnine cuTaneous cancer histology ( CATCH ) dataset

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.452194Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.083616Z digest=sha256:24ea6488ef2fd7d7141fdad34b8e2dec4d82860257f1a6bde5c88e7d7c87d085

Observation d8e8aa6d-75fa-4b30-ad57-b4d5c7948298 · outbound

This paper cites Harmonic networks: Deep translation and rotation equivariance.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Harmonic networks: Deep translation and rotation equivariance

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.437392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.087854Z digest=sha256:f1cf51ce8eaa7aa06db3d0bbb8ae7da79739a67a1111282cfdb7289b04cbee1b

Observation bf3b363a-c312-485a-8c99-f95eb2a6c9f6 · outbound

This paper cites Rotation invariant gabor convolutional neural network for image classification.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Rotation invariant gabor convolutional neural network for image classification

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.422118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.092057Z digest=sha256:6b27ac0cb2deb1c31f25a7888d66bc78a57386f3a6010519d0427f728db717f1

Observation a30fe7c7-3ac0-4bdd-8dc6-5505331724ad · outbound

This paper cites Stable and symmetric filter convolutional neural network.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Stable and symmetric filter convolutional neural network

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.407548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.096386Z digest=sha256:789ca9ab5a7734e8b02b395eb2a7988d1026fd5f0d784ee5ed8cbc0e854aba74

Observation de4732d1-20cf-42b0-8033-ec4f004c7d7f · outbound

This paper cites Wide residual networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Wide residual networks

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.391790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.100492Z digest=sha256:30e14118a6bd8a94bb3f4567e23e1b63da1279d3cb6c7b0ddb67ff5a0d49b7cd

Observation 338b085d-878b-41ea-81d8-2b05049fa0ce · outbound

This paper cites Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T23:06:17.104692Z

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source=arxiv_source observed=2026-08-15T23:06:17.104692Z digest=sha256:1d4099eb336b543a3a5f7a822ef742306470159fb68368f7ec7bcfb2338af982

Observation ae8d8be3-5b2b-4d23-81f8-4cd07734f3aa · outbound

This paper cites MTCNet : Multi-task collaboration network for rotation-invariance face detection.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology MTCNet : Multi-task collaboration network for rotation-invariance face detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.377545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.108988Z digest=sha256:850161343188b401534a6636977cd0541cc3c868f4e7992b6bd5d929c7259f3e

Observation c32b0f2e-be96-4697-8dfe-c73193c171a1 · outbound

This paper cites Oriented response networks.

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Oriented response networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:06:17.363056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.113058Z digest=sha256:c9b5a917848343b4e44423b7e0c833bbb902a8975fb63a0074541311e8b47b79

Pith citing papers

No inbound Pith citation observations are available.