Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.03580.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:10:59.607292Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T03:06:30.208129Z
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 ce0925d8-efd3-47b2-a032-433bee7cab1b · inbound
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective cites this paper.
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Reference 135
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:10:59.607292Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83feca3c-b794-4448-9591-5bb1c96a7167 · inbound
BiVM: Accurate Binarized Neural Network for Efficient Video Matting cites this paper.
BiVM: Accurate Binarized Neural Network for Efficient Video Matting Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:54:34.508875Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1dc82df-c4b2-41d3-bbb5-4915770a3e1f · inbound
Advancing Metallic Surface Defect Detection via Anomaly-Guided Pretraining on a Large Industrial Dataset cites this paper.
Advancing Metallic Surface Defect Detection via Anomaly-Guided Pretraining on a Large Industrial Dataset Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T15:43:06.629544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d21bac3-e89f-441e-8ea5-dc3e67d74bce · inbound
BIAS: A Biologically Inspired Algorithm for Video Saliency Detection cites this paper.
BIAS: A Biologically Inspired Algorithm for Video Saliency Detection Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:41:03.285355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0672aff3-4c1d-4eb0-8079-1a1b83f0bc91 · inbound
Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection cites this paper.
Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T03:06:30.209799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.