Paper Citation Record · LEDGER

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2111.14791.

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

pith.paper-citation-record.v1
2111.14791 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:11:55.886406Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:06:44.635528Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3ac823e2-e333-44cc-9972-7f6bbfa6b836 · inbound

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training cites this paper.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:11:55.886406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a864ecec-fdd3-409a-8eee-176eae36741c · inbound

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction cites this paper.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T19:06:04.189706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259aa03d-ab84-42c6-9ff6-b16ca86e96de · inbound

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning cites this paper.

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:37:06.264413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aed0036-cc63-495e-9de7-62fdc2918eb4 · inbound

Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI cites this paper.

Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:46.281816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1818dd8a-4c26-4b0a-b954-9d77b3260f6b · inbound

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans cites this paper.

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T10:20:02.878509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dccb66fd-c0a9-4d33-87b1-0201720da055 · inbound

Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes cites this paper.

Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.636926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ba1d310-46e7-469c-81c1-b8e6e9139778 · inbound

Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement cites this paper.

Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T11:15:22.141597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.