Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:18:27.030770Z
Paper Citation Record · LEDGER
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2412.14473.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
12 of 12 outbound references displayed
- verified exact2
- verified fuzzy4
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 76a8f1ff-9cbe-4fc7-b34a-aaa257b54225 · outbound
This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:18:26.624400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e01b6f27-60aa-4d4b-bd07-4f0dcc9b9420 · outbound
This paper cites Improved Baselines with Momentum Contrastive Learning.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis Improved Baselines with Momentum Contrastive Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:18:26.728724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45092a22-9917-4e4f-aeca-e0af20d76bac · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:18:26.744267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0828be3b-5512-4136-9bcc-914f6af4fd1b · outbound
This paper cites In Medical Image Computing and Com- puter Assisted Intervention–MICCAI 2022: 25th Interna- tional Conference, Singapore, September 18–22, 2022, Pro- ceedings, Part II, 35–45.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis In Medical Image Computing and Com- puter Assisted Intervention–MICCAI 2022: 25th Interna- tional Conference, Singapore, September 18–22, 2022, Pro- ceedings, Part II, 35–45
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:18:27.645476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a155966b-509f-4112-8bb4-704d00c77552 · outbound
This paper cites Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T12:18:27.147956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 12643ed5-2ad2-4c8d-a70c-ff42be71e4b9 · outbound
This paper cites In Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision, 3457–3466.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis In Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision, 3457–3466
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:18:27.623867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c4960493-fd7d-4c4c-a022-427d7a08820c · outbound
This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis iBOT: Image BERT Pre-Training with Online Tokenizer
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:18:26.871889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 437a0408-31e7-4a59-a95a-1cfa1a720b30 · outbound
This paper cites This strategy generates 457,000, 422,000, and 1,839,000 patches, respectively for USTC-EGFR, TCGA- EGFR, and TCGA-LUNG-3K dataset, for the training of the self-supervised models.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis This strategy generates 457,000, 422,000, and 1,839,000 patches, respectively for USTC-EGFR, TCGA- EGFR, and TCGA-LUNG-3K dataset, for the training of the self-supervised models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:18:27.602846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b773e7aa-38f6-4b10-bc92-157b6aba00da · outbound
This paper cites Tutorial on Variational Autoencoders.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis Tutorial on Variational Autoencoders
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:18:26.737612Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb5f2a65-d6f9-4015-b30b-5440e14621ff · outbound
This paper cites BEiT: BERT Pre-Training of Image Transformers.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis BEiT: BERT Pre-Training of Image Transformers
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:18:26.560604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fef87141-a28a-4d19-8776-9a70236459d7 · outbound
This paper cites MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Reference 2023
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T12:18:27.318976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 04dac8a5-f572-413e-8862-cb3d94772f60 · outbound
This paper cites However, the AUC of CONCH is 21.6% lower than our method in the TCGA- EGFR dataset.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis However, the AUC of CONCH is 21.6% lower than our method in the TCGA- EGFR dataset
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:18:27.497117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.