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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 2026-08-18T06:34:40.430872+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
  • malformed identifier0
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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=sha256:89f24448ccf3d4d4b63890f1efad6414d2c469b6289c3a3a776ffec1dfcc7144

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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source=arxiv_source observed=2026-08-15T23:06:16.913666Z digest=sha256:db33571d2103fe64201ca47172493f653dfb3737728dd9a16bb51f3c2e3c8679

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.923288Z digest=sha256:ac18624a56df97e66a50f73c065bebdd12fe7b7d63d0ef835169cf80e9314a21

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.927828Z digest=sha256:036d584a4801afcd7c8cfcbb0d13ad05e0a14e49c504e182bedc8e5c3a901f12

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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no resolver link, observed 2026-08-15T23:06:16.937493Z

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.945982Z digest=sha256:387462997ca550732d542638f07c16dd3e9569fb3d462a9994cca91ae861bbea

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.954882Z digest=sha256:54a35e108f16bb4a690233d9bfab78e6290d82322efb8b3d8b7654e5c36db920

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 2026-08-18T06:34:40.430872+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

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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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.968236Z digest=sha256:575c2e63c57880fe9dea13d85b8e9a8e9f9f13ed96c167d508a9c4a5f58c76ef

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.972418Z digest=sha256:984b8fd13eee55254d48ea5929fb2b515e053b876b15db0034243c11a54a531f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.976555Z digest=sha256:81d848bd1706462cf474fe76be07e46684dcb4a0d76f317f9464bec521d7b3c2

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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:16.984989Z digest=sha256:b9be77b382def13ea7cd98c06a9b863b0b315587846f30550b643a334191635c

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.002598Z digest=sha256:44ce6432d33bd15ca8e3530a3201431cfa98a95f3dce87a2e30279a78d3f306d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.006809Z digest=sha256:22d6e57a71042644cc7b52c52294f8ce3674f35e93875d5cdc7d856fbd77a5d3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.011127Z digest=sha256:6db3a64a6889e7db609d88a86b4ede42af6667b78d5d4ec669e3b23a2283dfd5

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.015209Z digest=sha256:122759f43188681f92b3f7e1eb91febc2ab523057694b698a8a616f3db6a4462

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 2026-08-18T06:34:40.430872+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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unresolved
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

Resolution
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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.032810Z digest=sha256:dd50caf29bf1736b11b76a06faa4a592f1bf8e7aeb1eb5d463971b4c91f09a77

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.037053Z digest=sha256:3c456044fe9460d323559b5df357a2ca24fbf576713d8e0c7043c25c54e06ca9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.041135Z digest=sha256:f58a8d5a39ea6aea9ee724dcd3ae6f453d661dc1aeec0556f1c9e2c0726e36c2

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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verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.045252Z digest=sha256:3f62e6206ccd0504bd36d5e19922b32885da446b4d44f787c904306d4bb8550e

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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verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.049523Z digest=sha256:6251d0b80b5f0190175e49b5c68e02295610913ad6a8e56bff95900801896583

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.053650Z digest=sha256:3fce2bb1eeac71318ff792cf49c43a642d6241b2393cf66ee0c69f0249caf79b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.062676Z digest=sha256:77637d2f4711b26b99b0cc475df6fcd75b167bdd0e8302761540fdbb2d8f9cb3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.066708Z digest=sha256:81c5f83f92dc57f6da14fa5cc85b370ba6bd8f7e58b5a9bf67950e48748b8a0c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.070832Z digest=sha256:29cdb883614a2b5004d530558d61cf7a14b3a3f900a2e4cd7295162e3be832a5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.075219Z digest=sha256:6b8d637d0696408909261cd37c0fa5d0ebb50e1f03cd645f8baff3d44d7287e9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.079288Z digest=sha256:c770a920bd1449ceabf1a904c552004eede3b537c5e32f17e8794dea3900c54d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.083616Z digest=sha256:d38530ee8b19d02aea98dc6b710e8985ca4ec8456aae3d73bfa48fe6ec17d62a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.087854Z digest=sha256:15622a4828d8278819c6c77ca8e33ee59f6f4688356ee33c66b6064c0780689d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.092057Z digest=sha256:7f2b42de3ad1269bf7f141431ad7dc6fd9f8cc85e473471969285c5264524bb1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.096386Z digest=sha256:fdc7ca33b6429df7d188717788a39c6af45072a2ad1b03d3a96718ee5fbac3d3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.100492Z digest=sha256:4f8b7379395236dd2fcfa319959d9e2c5ff3b89fb0f0331a8a99723ba8431755

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.108988Z digest=sha256:5ff874b4bce1370e5601efbb4aa89b8601135b27c0d5674c4a972a0c419bc42b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T23:06:17.113058Z digest=sha256:d4b7c43871e05cbbabd5f7744d4ae56d088cce69aecd7c06c875c43400c04e86

Pith citing papers

No inbound Pith citation observations are available.