Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust and Generalizable Visual Representation Learning via Random Convolutions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2007.13003.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:23:14.084984Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T07:44:03.029082Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 3bf2dca6-f8b7-4b1a-a304-1fca99f8ed5c · inbound
ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation cites this paper.
ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation Robust and Generalizable Visual Representation Learning via Random Convolutions
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:23:14.084984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a28390d-8f7c-4cb4-87b6-6353e4008bc0 · inbound
Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization cites this paper.
Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Robust and Generalizable Visual Representation Learning via Random Convolutions
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:56:10.540960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f8806ad-309a-4624-acca-0b29ab2bec3c · inbound
Fully Automated SAM for Single-source Domain Generalization in Medical Image Segmentation cites this paper.
Fully Automated SAM for Single-source Domain Generalization in Medical Image Segmentation Robust and Generalizable Visual Representation Learning via Random Convolutions
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:57:34.955896Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 331d204c-314b-4803-b0c8-09cd2797effa · inbound
Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It cites this paper.
Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It Robust and Generalizable Visual Representation Learning via Random Convolutions
Reference 65
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T20:08:13.112505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 97274b6f-9f1f-4c63-8468-79beced86e71 · inbound
FGML-DG: Feynman-Inspired Cognitive Science Paradigm for Cross-Domain Medical Image Segmentation cites this paper.
FGML-DG: Feynman-Inspired Cognitive Science Paradigm for Cross-Domain Medical Image Segmentation Robust and Generalizable Visual Representation Learning via Random Convolutions
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:45:59.230042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 38f16ee0-ba1e-412e-9ede-94bd7017ebf8 · inbound
One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation cites this paper.
One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation Robust and Generalizable Visual Representation Learning via Random Convolutions
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T06:15:39.052020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 699b5c3b-414c-4137-abb5-7259e8884f73 · inbound
Frequency Adapter with SAM for Generalized Medical Image Segmentation cites this paper.
Frequency Adapter with SAM for Generalized Medical Image Segmentation Robust and Generalizable Visual Representation Learning via Random Convolutions
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:36:27.261996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c331d597-6ec7-4944-9b96-a958ada94692 · inbound
CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations cites this paper.
CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations Robust and Generalizable Visual Representation Learning via Random Convolutions
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:23:05.418515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1fdac2d9-763b-40ea-ad8f-948cb406b4b0 · inbound
CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations cites this paper.
CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations Robust and Generalizable Visual Representation Learning via Random Convolutions
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:44:03.030572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.