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Paper Citation Record · LEDGER

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.10853.

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

pith.paper-citation-record.v1
2412.10853 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:37:56.109836Z

measured 31 of 31 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

31 of 31 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8bc48c7-7822-40aa-8230-036f7a01a6a1 · outbound

This paper cites Slic superpixels.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Slic superpixels

Reference 1

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Observation cf761d9f-f19f-4ca6-973d-0bd87b85c1d7 · outbound

This paper cites Histopathologic image–based deep learning classifier for predicting platinum-based treatment responses in high-grade serous ovarian cancer.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Histopathologic image–based deep learning classifier for predicting platinum-based treatment responses in high-grade serous ovarian cancer

Reference 2

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Observation 898e60a2-e13d-4a60-8e68-543c8deb68c7 · outbound

This paper cites Albertina, M.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Albertina, M

Reference 3

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Observation 16445a63-35b9-49db-a680-58313d738d2f · outbound

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

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Artificial intelligence for diagnosis and gleason grading of prostate cancer: the panda challenge

Reference 4

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Observation dc7f2dd3-2cc5-4d04-938c-02e21450e11b · outbound

This paper cites Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks

Reference 5

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Observation e4fcc584-0f35-4548-bdc3-bbac6875c22b · outbound

This paper cites Scaling vision transformers to gigapixel images via hierarchical self-supervised learning.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Scaling vision transformers to gigapixel images via hierarchical self-supervised learning

Reference 6

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Observation fa86aa2a-771a-430c-a7ff-21cc32ce33b9 · outbound

This paper cites Diagnose like a pathologist: Weakly- supervised pathologist-tree network for slide-level immunohistochemical scoring.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Diagnose like a pathologist: Weakly- supervised pathologist-tree network for slide-level immunohistochemical scoring

Reference 7

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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 1aba28c4-7f3a-400b-95df-739b9cf72677 · outbound

This paper cites Multiple instance learning with center embeddings for histopathology classification.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Multiple instance learning with center embeddings for histopathology classification

Reference 8

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Source-reported events for the cited work

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Observation 25cdd6d5-3d1e-430a-af11-0a2e61930202 · outbound

This paper cites Biomarkers in cancer detection, diagnosis, and prognosis.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Biomarkers in cancer detection, diagnosis, and prognosis

Reference 9

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Observation f800b524-a03c-4ce9-b3a1-12c8222b5207 · outbound

This paper cites Derivation of prognostic contextual histopathological features from whole-slide images of tumours via graph deep learning.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Derivation of prognostic contextual histopathological features from whole-slide images of tumours via graph deep learning

Reference 10

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Observation fcc81f00-9f76-4ae8-a230-1f510f32eb48 · outbound

This paper cites Dynamic graph representation with knowledge-aware attention for histopathology whole slide image analysis.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Dynamic graph representation with knowledge-aware attention for histopathology whole slide image analysis

Reference 11

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Observation 929fbf33-15b7-4ade-837d-5e92d614a0c3 · outbound

This paper cites Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer

Reference 12

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Source-reported events for the cited work

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Observation 7dd0c1fa-c220-46f6-b1ec-dbd43bb3c570 · outbound

This paper cites Lingle, B.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Lingle, B

Reference 13

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Observation 1fc3db8b-9a26-4b54-8b10-ccc7844c8663 · outbound

This paper cites 1399 h&e-stained sentinel lymph node sections of breast cancer patients: the camelyon dataset.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis 1399 h&e-stained sentinel lymph node sections of breast cancer patients: the camelyon dataset

Reference 14

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Observation a940c27f-5ec2-47cb-86a3-6231fe739d87 · outbound

This paper cites an unresolved cited work.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Unresolved cited work

Reference 15

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Observation 781ce26a-045b-4efa-bff0-e255e7154dd2 · outbound

This paper cites Slidegraph+: Whole slide image level graphs to predict her2 status in breast cancer.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Slidegraph+: Whole slide image level graphs to predict her2 status in breast cancer

Reference 16

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Source-reported events for the cited work

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Observation 4d58cbeb-8a79-49e5-b3f8-ed27db462427 · outbound

This paper cites An overview of gradient descent optimization algorithms.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis An overview of gradient descent optimization algorithms

Reference 17

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Source-reported events for the cited work

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Observation e02042d1-7ca2-4099-a7ff-63c3fd7d780c · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 18

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Source-reported events for the cited work

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Observation 2a378d76-a72d-4a93-b9d9-90d30ce34b8b · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Transmil: Transformer based correlated multiple instance learning for whole slide image classification

Reference 19

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Source-reported events for the cited work

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Observation 6c7e44be-6d4f-4ea7-a828-2dc8c2fe33bc · outbound

This paper cites Tumor markers in clinical practice: General principles and guidelines.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Tumor markers in clinical practice: General principles and guidelines

Reference 20

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Observation aee89f9a-e469-412c-aa17-2de011568b6f · outbound

This paper cites Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images

Reference 21

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Source-reported events for the cited work

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Observation bac24cbd-39f0-44ef-b34f-df9fb50336a9 · outbound

This paper cites Quadtree attention for vision transformers.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Quadtree attention for vision transformers

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.

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Observation 26612d8e-767b-411a-8184-26551b6590fb · outbound

This paper cites Neural image compression for gigapixel histopathology image analysis.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Neural image compression for gigapixel histopathology image analysis

Reference 23

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Source-reported events for the cited work

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Observation fa182ea6-610a-4cde-a852-3908583998e7 · outbound

This paper cites Differen- tiable zooming for multiple instance learning on whole-slide images.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Differen- tiable zooming for multiple instance learning on whole-slide images

Reference 24

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Source-reported events for the cited work

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Observation 4f12b3ac-77d4-431c-a82e-4c66c31cb720 · outbound

This paper cites Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

Reference 25

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Source-reported events for the cited work

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Observation 87efc3ff-e81d-4cd5-b258-085df311509a · outbound

This paper cites Weakly supervised learning for whole slide lung cancer image classification.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Weakly supervised learning for whole slide lung cancer image classification

Reference 26

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Source-reported events for the cited work

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Observation 915f754b-173b-440c-93d5-ace393ccf8bd · outbound

This paper cites Dsnet: A dual-stream framework for weakly-supervised gigapixel pathology image analysis.IEEE Transactions on Medical Imaging, 41(8):2180–2190, 2022.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Dsnet: A dual-stream framework for weakly-supervised gigapixel pathology image analysis.IEEE Transactions on Medical Imaging, 41(8):2180–2190, 2022

Reference 27

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Source-reported events for the cited work

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Observation da30a00a-c82d-4e58-a0d6-0f8514261856 · outbound

This paper cites Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence-based digital pathology analysis.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence-based digital pathology analysis

Reference 28

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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 c13a9034-c38b-4d7b-9952-4b5e87d16a29 · outbound

This paper cites Hundredfold accelerating for pathological images diagnosis and prognosis through self-reform critical region focusing.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Hundredfold accelerating for pathological images diagnosis and prognosis through self-reform critical region focusing

Reference 29

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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 88a209a9-0e6a-4bc5-a24d-ca957832a655 · outbound

This paper cites Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution

Reference 30

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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 549ea521-679a-4698-ba53-12f7a6c3e949 · outbound

This paper cites Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution.

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution

Reference 31

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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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Pith citing papers

No inbound Pith citation observations are available.